100+ datasets found
  1. World Route

    • hub.arcgis.com
    Updated Dec 12, 2012
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    Esri (2012). World Route [Dataset]. https://hub.arcgis.com/content/1feb41652c5c4bd2ba5c60df2b4ea2c4
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    Dataset updated
    Dec 12, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World
    Description

    The World Route service can be used to find the best way to get from one location to another or to visit several locations. The best route can be the quickest route for a given time of day considering the traffic conditions applicable during that time, or it can be the shortest route that minimizes the travel distance. The route service can also find the best route that visits each stop during permitted time windows you specify. If you have more than two stops to visit, the best route can be determined for the fixed order of locations you specify. Such a route is called as a simple route. Alternatively, the route service can determine the best sequence in which to visit the locations (the traveling salesman problem). Such a route is called as an optimized route.The service can be used to generate routes in and between many countries around the world. ArcMap users can learn how to use this service in the ArcGIS Help. For detailed information on this service from a developer's perspective, including a data coverage map, visit the REST API Documentation.

  2. n

    Data for: Probabilistic Vehicle Routing Problem with Service Guarantees

    • narcis.nl
    • data.mendeley.com
    Updated Feb 4, 2018
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    Chen, L (via Mendeley Data) (2018). Data for: Probabilistic Vehicle Routing Problem with Service Guarantees [Dataset]. http://doi.org/10.17632/5jb9g24zjr.1
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    Dataset updated
    Feb 4, 2018
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    Chen, L (via Mendeley Data)
    Description

    This file includes the vehicle routing instances with uncertain demand information.

  3. Summer Food Service Program (SFSP) Mobile Route Maker

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • catalog.data.gov
    • +1more
    Updated Apr 21, 2025
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    Food and Nutrition Service (2025). Summer Food Service Program (SFSP) Mobile Route Maker [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/summer-food-service-program-sfsp-mobile-route-maker
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Food and Nutrition Servicehttps://www.fns.usda.gov/
    Description

    This tool is primarily a routing tool for Summer meal sponsors, vendors and State agencies that is overlaid on the Capacity Builder. Routing is especially important for less densely populated areas, such as rural areas. This tool will help a variety of audiences allocate resources efficiently and in a cost effective way. Sponsors can identify potential summer sites for mobile feeding by identifying gaps in service in the neediest areas, plan the most efficient monitoring routes, and find routes to local food vendors to create fresh local meals (http://www.fns.usda.gov/farmtoschool/farm-summer). In addition self-prep central kitchens and vendors can find the best route to deliver meals to each Summer meal site. State agencies can also use this tool to plan the most efficient monitoring routes throughout the summer.

  4. m

    Data For: Home health care routing and scheduling problem with multiple time...

    • data.mendeley.com
    Updated Feb 3, 2020
    + more versions
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    Mohammed BAZIRHA (2020). Data For: Home health care routing and scheduling problem with multiple time windows and multiple synchronized services [Dataset]. http://doi.org/10.17632/hp3xftsrfx.2
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    Dataset updated
    Feb 3, 2020
    Authors
    Mohammed BAZIRHA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The test instances have been generated randomly using benchmark instances from Mankowska et al(2014). Four sets of instances are generated: • Single Service and Single Time Window (SSSTW); • Single Service and Multiple Time Windows (SSMTW); • Multiple Services and Single Time Window (MSSTW); • Multiple Services and Multiple Time Windows (MSMTW).

  5. f

    Data from: Enhancing routing and quality of service using AI-driven...

    • tandf.figshare.com
    pdf
    Updated Sep 12, 2024
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    Oussama Senouci (2024). Enhancing routing and quality of service using AI-driven technique for internet of vehicles contexts [Dataset]. http://doi.org/10.6084/m9.figshare.26341579.v1
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    pdfAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Oussama Senouci
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This paper introduces an Enhancing Routing and Quality of Service (QoS) Using AI-driven Technique for Internet of Vehicles (IoV) Contexts. The proposed approach aims to enhance QoS and overall network performance in connected vehicle networks. Vehicles utilize Road-Side Units and the Internet to aggregate data from neighboring vehicles, optimizing routing and data management. The proposed approach utilizes a graph traversal algorithm, a widely adopted technique in Artificial Intelligence for graph search, which facilitates traversal in routing. The proposed approach integrates a mobility score based on metrics such as velocity, acceleration, and neighboring information, ensuring optimal routing for dynamic vehicular networks. Objectives include improving QoS and network performance by reducing overheads, optimizing load balancing, and extending network lifetime. Implemented in NS-3 and MOVE simulators, results demonstrate significant performance enhancements compared to existing approaches. This approach addresses the challenges of extensive vehicle mobility and frequent topology changes in connected environments. Overall, the paper presents a comprehensive solution for IoV networks, combining AI-driven routing with mobility-aware strategies to advance network efficiency and QoS.

  6. f

    Instance data set for: The Value of Information Sharing for Platform-Based...

    • figshare.com
    • data.4tu.nl
    • +1more
    zip
    Updated Jun 6, 2023
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    J. (Johan) Los; F. (Frederik) Schulte; M.T.J. (Matthijs) Spaan; R.R. (Rudy) Negenborn (2023). Instance data set for: The Value of Information Sharing for Platform-Based Collaborative Vehicle Routing [Dataset]. http://doi.org/10.4121/uuid:a363bf41-ab09-4201-81de-4da49bae281d
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    zipAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    4TU.ResearchData
    Authors
    J. (Johan) Los; F. (Frederik) Schulte; M.T.J. (Matthijs) Spaan; R.R. (Rudy) Negenborn
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data set contains 40 instances of the Dynamic Pickup and Delivery Problem with Time Windows, each containing 1000 orders, used in the article The Value of Information Sharing for Platform-Based Collaborative Vehicle Routing by J. Los, F. Schulte, M.T.J. Spaan, and R.R. Negenborn, published in Transportation Research Part E.

  7. w

    Global Service Provider Router Market Research Report: By Applications...

    • wiseguyreports.com
    Updated May 4, 2025
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    wWiseguy Research Consultants Pvt Ltd (2025). Global Service Provider Router Market Research Report: By Applications (Broadband, Carrier Ethernet, Wireless Backhaul, Data Center Interconnect, Cloud Computing), By Routing Technologies (Traditional Routing, Software-Defined Routing, Application-Specific Integrated Circuits (ASICs)), By Deployment Models (On-Premises, Cloud-Based, Managed Services), By Connection Types (Ethernet, MPLS, SD-WAN), By Sales Channel (Direct Sales, Indirect Sales (Partners and Resellers)) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/service-provider-router-market
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    Dataset updated
    May 4, 2025
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    May 24, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202315.51(USD Billion)
    MARKET SIZE 202416.15(USD Billion)
    MARKET SIZE 203222.3(USD Billion)
    SEGMENTS COVEREDService Type ,Router Type ,Deployment Model ,Application ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSSurge in cloud computing Growing adoption of 5G networks Increase in data traffic Network virtualization SDN and NFV deployment
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDCisco Systems ,Juniper Networks ,Huawei Technologies ,Nokia Networks ,ADTRAN ,ECI Telecom ,Infinera Corporation ,Ciena Corporation ,ZTE Corporation ,Airvana Network ,Ericsson ,Fiberhome Telecommunication Technologies ,NEC Corporation ,Siklu Communication
    MARKET FORECAST PERIOD2024 - 2032
    KEY MARKET OPPORTUNITIES1 5G network expansion 2 Cloud and edge computing adoption 3 Network virtualization 4 IoT and smart city development 5 Growing demand for bandwidth and capacity
    COMPOUND ANNUAL GROWTH RATE (CAGR) 4.12% (2024 - 2032)
  8. D

    Route Optimization and Planning Software Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 12, 2024
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    Dataintelo (2024). Route Optimization and Planning Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-route-optimization-and-planning-software-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Route Optimization and Planning Software Market Outlook



    The global route optimization and planning software market size is expected to grow significantly from 2023 to 2032, with a compound annual growth rate (CAGR) of 12.5%. In 2023, the market value was estimated at $3.5 billion and is forecasted to reach approximately $10.2 billion by 2032. The primary growth factors driving this market include the increasing need for operational efficiency, the rising trend of digital transformation, and the growing demand for cost reduction in logistics and supply chain management.



    One of the key growth factors for the route optimization and planning software market is the increasing need for operational efficiency across various industries. Businesses are looking to optimize their routes to save time and fuel, reduce emissions, and improve customer satisfaction. Advanced algorithms and artificial intelligence (AI) drive this market by providing real-time data analytics, which helps companies to make informed decisions. The logistics and transportation industry, in particular, is experiencing a surge in demand for such software to manage complex delivery networks effectively.



    Another significant growth driver is the rising trend of digital transformation across industries. Companies are increasingly adopting digital tools to streamline their operations, and route optimization software is a crucial component of this digital shift. The software helps in automating route planning and execution, thereby reducing human error and increasing efficiency. Additionally, the integration of Internet of Things (IoT) devices and real-time tracking systems with route optimization software is providing a holistic solution for fleet management, further propelling market growth.



    The growing demand for cost reduction in logistics and supply chain management is also a major factor contributing to the market's expansion. With rising fuel costs and increasing competition, companies are compelled to look for ways to cut expenses. Route optimization and planning software offer a viable solution by significantly reducing fuel consumption and labor costs through efficient route planning. Moreover, it helps in minimizing delivery times and improving service quality, thereby enhancing customer satisfaction and loyalty.



    Regionally, North America is expected to hold the largest market share during the forecast period, driven by technological advancements and the presence of key market players in the region. Europe is also anticipated to show substantial growth due to stringent regulations related to fuel emissions and the increasing adoption of advanced technologies in logistics. The Asia Pacific region is expected to witness the highest growth rate due to rapid urbanization, a booming e-commerce sector, and increasing investments in infrastructure development.



    Component Analysis



    The route optimization and planning software market by component is segmented into software and services. The software segment is further divided into standalone software and integrated software. The services segment includes managed services and professional services. The software segment is expected to dominate the market during the forecast period due to the increasing adoption of advanced software solutions that provide real-time data analytics and automated route planning capabilities.



    Standalone software solutions are gaining traction among small and medium enterprises (SMEs) due to their cost-effectiveness and ease of deployment. These solutions are designed to meet the specific needs of SMEs, providing them with the tools to optimize their routes without the need for extensive IT infrastructure. Integrated software solutions, on the other hand, are more popular among large enterprises as they offer comprehensive features that can be seamlessly integrated with existing systems, such as ERP and CRM platforms.



    In the services segment, managed services are expected to witness significant growth due to the increasing demand for outsourcing route optimization tasks to third-party service providers. Managed services offer several benefits, including reduced operational costs, access to expert knowledge, and improved focus on core business activities. Professional services, which include consulting, training, and support, are also expected to grow as companies seek to maximize the value of their route optimization software investments.



    The increasing complexity of supply chains and the need for real-time data analytics are driving the demand f

  9. d

    Routes

    • catalog.data.gov
    • data.cityofnewyork.us
    • +7more
    Updated Aug 2, 2025
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    data.cityofnewyork.us (2025). Routes [Dataset]. https://catalog.data.gov/dataset/routes
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    data.cityofnewyork.us
    Description

    One of OPT’s main functions is to plan efficient and fiscally responsible school bus routes. OPT staff use a variety of systems to generate and share bus route information with bus vendors and the public. Specific bus route paths cannot be publicly disclosed because they could reveal personally identifiable information about individual students. In this dataset, OPT has provided all the route information that does not risk disclosing personally identifiable information. School-age service for students in grades K through 12 are contracted with bus vendors on a per route basis. OPT also manages bus service for Pre-K students who require curb-to-curb service as per a student’s Individualized Education Plan (IEP). This Pre-K bus service is contracted on a per student basis, instead of per route. As a consequence of this difference, OPT does not design bus routes for Pre-K service, so those routes are not included in this dataset. There are a variety of different vehicles used on routes that serve students requiring curb-to-curb service because an Individualized Education Plan (IEP) indicates specific transportation needs. The standard bus is the only vehicle used for general education routes with students eligible for bus service but who do not have an IEP. Users may occasionally see a route without a garage assignment. Because this dataset is derived from a snapshot of a transactional system, there may be routes that are in the process of being assigned to a garage. In those cases, the garage information will appear as NULL until the assignment is complete.

  10. a

    Reduced Service Routes

    • hub.arcgis.com
    Updated Nov 18, 2017
    + more versions
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    City of Lincoln/Lancaster County, NE Maps & Apps (2017). Reduced Service Routes [Dataset]. https://hub.arcgis.com/datasets/LincolnNE::startran-daily-routes-1?layer=2
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    Dataset updated
    Nov 18, 2017
    Dataset authored and provided by
    City of Lincoln/Lancaster County, NE Maps & Apps
    Area covered
    Description

    This layer represents the daily routes for StarTran bus service in the City of Lincoln, NE. This dataset is updated and maintained by the City of Lincoln Public Works and Utilities Department.

  11. D

    Delivery Route Planner App Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Delivery Route Planner App Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-delivery-route-planner-app-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Delivery Route Planner App Market Outlook



    The global delivery route planner app market size is projected to grow from USD 1.2 billion in 2023 to USD 3.4 billion by 2032, at a compound annual growth rate (CAGR) of 12.4%. This impressive growth can be attributed to the increasing demand for efficient logistics solutions and the rising adoption of advanced technologies across various industries. Several factors are driving this growth, including the surge in e-commerce activities, the need for optimal route planning to reduce fuel consumption and operational costs, and the increasing emphasis on real-time tracking and delivery transparency.



    One of the primary growth factors in the delivery route planner app market is the exponential rise in e-commerce activities worldwide. Online shopping has become a norm, leading to a significant increase in the number of deliveries. Retailers and logistics companies are increasingly relying on delivery route planner apps to enhance the efficiency of their delivery systems, reduce delivery times, and improve customer satisfaction. Moreover, the growing popularity of same-day and next-day delivery services has intensified the need for advanced route planning solutions to ensure timely deliveries.



    Another crucial factor propelling the market growth is the need for cost optimization in logistics and transportation. Fuel costs constitute a significant portion of the operating expenses for delivery services. By utilizing delivery route planner apps, companies can identify the most efficient routes, thereby minimizing fuel consumption and reducing overall operational costs. Additionally, these apps help in reducing vehicle wear and tear and improving the overall lifespan of the fleet, leading to long-term cost savings.



    The adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) in route planning solutions is also a significant driver of market growth. These technologies enable the development of sophisticated algorithms that can analyze vast amounts of data and provide real-time insights for optimal route planning. Moreover, the integration of GPS and IoT devices with these apps allows for real-time tracking and monitoring of deliveries, enhancing transparency and improving customer experience.



    From a regional perspective, North America holds a significant share of the global delivery route planner app market, driven by the presence of major e-commerce players and advanced logistics infrastructure. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by the rapid expansion of the e-commerce sector and increasing investments in logistics and transportation infrastructure. Europe also presents substantial growth opportunities, with a steady rise in online retail activities and a strong focus on sustainability and cost efficiency in logistics operations.



    Component Analysis



    The delivery route planner app market can be segmented by component into software and services. The software segment dominates the market, attributed to the widespread adoption of advanced route planning software solutions by logistics and delivery service providers. These software solutions offer a comprehensive suite of features, including route optimization, real-time tracking, and performance analytics, which significantly enhance delivery efficiency and cost-effectiveness. Additionally, the continuous advancements in software technologies, such as AI and ML, are enabling the development of more sophisticated and intelligent route planning solutions.



    The services segment includes various support and consulting services provided by vendors to help businesses integrate and optimize route planning solutions. These services play a crucial role in ensuring the seamless implementation and operation of route planner apps. With the increasing complexity of logistics operations and the growing demand for customized solutions, the services segment is expected to witness substantial growth. Consulting services, in particular, are gaining traction as companies seek expert guidance to enhance their logistics strategies and achieve optimal delivery performance.



    Moreover, the trend of outsourcing logistics and delivery operations to third-party service providers is contributing to the growth of the services segment. Many businesses, especially small and medium enterprises (SMEs), prefer to outsource route planning and delivery management to specialized service providers to focus on their core competencies. This outsourcing trend is driving the deman

  12. Route By Service Level

    • data.iowadot.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Jul 30, 2021
    + more versions
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    Iowa Department of Transportation (2021). Route By Service Level [Dataset]. https://data.iowadot.gov/datasets/route-by-service-level
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    Dataset updated
    Jul 30, 2021
    Dataset authored and provided by
    Iowa Department of Transportationhttps://iowadot.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Maintenance Service Level Roads layers shows the priority level for maintenance level of service. A (Interstate) is high level of service, B (High Travel Routes) are medium level of service, and C is the lowest level priority for service.

  13. M

    Multi-service Intelligent Routing Switch Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Apr 22, 2025
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    Archive Market Research (2025). Multi-service Intelligent Routing Switch Report [Dataset]. https://www.archivemarketresearch.com/reports/multi-service-intelligent-routing-switch-361928
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Multi-service Intelligent Routing Switch market is experiencing robust growth, driven by the increasing demand for high-bandwidth, low-latency networking solutions across various sectors. The market's expansion is fueled by the proliferation of cloud computing, the Internet of Things (IoT), and the need for advanced network security features. Enterprises, governments, and educational institutions are increasingly adopting these switches to manage complex network traffic and ensure seamless connectivity. The market is segmented by switch type (single-slot and double-slot) and application (enterprise, government, and school), with the enterprise segment holding the largest market share due to its high adoption rate of advanced networking technologies. Key players like Cisco, Juniper, and Huawei are driving innovation and competition, offering a wide range of features and functionalities to cater to diverse customer needs. Considering a plausible market size of $15 billion in 2025 and a conservative Compound Annual Growth Rate (CAGR) of 8% based on industry trends, the market is projected to reach approximately $25 billion by 2033. This growth is expected to be further propelled by ongoing technological advancements, such as the integration of artificial intelligence (AI) and machine learning (ML) for improved network management and automation. Despite the significant growth potential, the market faces challenges such as high initial investment costs for advanced switch deployments and the complexity of managing these sophisticated systems. Furthermore, the increasing prevalence of cybersecurity threats necessitates robust security solutions, potentially increasing the overall cost of ownership. However, ongoing technological advancements in areas such as software-defined networking (SDN) and network function virtualization (NFV) are likely to address these challenges, creating more cost-effective and efficient solutions. The competitive landscape is characterized by both established vendors and emerging players, leading to a dynamic market with continuous innovation and product diversification. Regional variations in market growth are anticipated, with North America and Asia Pacific expected to lead the growth, driven by high technological adoption rates and strong economic growth.

  14. D

    Service Provider Router Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Service Provider Router Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-service-provider-router-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Service Provider Router Market Outlook



    The global service provider router market is projected to grow significantly, reaching an estimated market size of $19.8 billion by 2032, up from $11.5 billion in 2023, with a compound annual growth rate (CAGR) of 6.4%. This impressive growth trajectory is driven by the increasing demand for high-speed internet access, the expansion of telecommunication infrastructures, and the rising adoption of cloud services. As the digital economy continues to expand, the role of routers as critical infrastructure components cannot be understated. These devices are essential for managing data traffic and ensuring seamless connectivity in an increasingly interconnected world.



    The evolution of technology and the increasing demand for innovative internet services are key drivers of growth in the service provider router market. As more businesses and consumers rely on digital platforms for commerce, communication, and entertainment, the need for robust and reliable networking solutions is paramount. Service provider routers are designed to handle the massive volumes of data traffic generated by these activities, facilitating efficient data transmission across networks. The rise of the Internet of Things (IoT) and the proliferation of smart devices further exacerbate this demand, as they contribute to a more complex and data-intensive network environment.



    Additionally, the global push towards 5G technology is a significant catalyst for the service provider router market. The widespread adoption of 5G networks promises vastly improved data speeds and network capacity, necessitating advanced routing solutions to handle increased data loads and maintain network performance. Service providers are investing heavily in upgrading their network infrastructures to accommodate 5G technology, which directly boosts the demand for cutting-edge routers. Moreover, the transition to 5G is expected to unlock new use cases and applications in industries such as healthcare, automotive, and entertainment, further driving market growth.



    Another crucial growth factor is the increasing prevalence of cloud computing and virtualization technologies. Organizations are increasingly transitioning to cloud-based services to enhance operational efficiency and reduce costs. This shift necessitates robust and flexible networking solutions to ensure seamless connectivity between on-premise infrastructure and cloud services. Service provider routers equipped with advanced features such as dynamic routing, virtualization, and network slicing are critical in enabling this transition. As cloud adoption continues to accelerate, the demand for specialized router solutions is expected to rise correspondingly.



    From a regional perspective, Asia Pacific is poised to dominate the service provider router market, owing to rapid urbanization and technological advancements in countries like China, India, and Japan. The region's burgeoning middle class and increasing internet penetration rates are driving the demand for high-speed internet services, thereby boosting the market for routers. North America and Europe are also significant markets, characterized by early technology adoption and substantial investments in network infrastructure. In these regions, the focus is on upgrading existing networks to support growing data demands and new technologies like 5G and IoT. Meanwhile, Latin America and the Middle East & Africa are emerging markets with significant growth potential, driven by ongoing digital transformation initiatives and infrastructure development.



    In the context of modern business operations, the role of a Business Router is becoming increasingly pivotal. These routers are specifically designed to cater to the unique needs of businesses, offering enhanced security, reliability, and performance. As businesses continue to expand their digital footprints, the demand for routers that can support complex networking environments and integrate seamlessly with cloud services is on the rise. Business Routers are equipped with advanced features such as VPN support, firewall protection, and load balancing, making them ideal for managing the diverse and dynamic network requirements of today's enterprises. The ability to handle high data volumes and provide uninterrupted connectivity is crucial for maintaining productivity and competitiveness in the digital age.



    Product Type Analysis



    The service provider router market can be segmented based on product type i

  15. Data for Autonomous Flow Routing for Near Real-Time Quality of Service...

    • zenodo.org
    • data.europa.eu
    zip
    Updated Jun 8, 2024
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    Sima Barzegar; Sima Barzegar; Marc Ruiz; Marc Ruiz; Luis Velasco; Luis Velasco (2024). Data for Autonomous Flow Routing for Near Real-Time Quality of Service Assurance [Dataset]. http://doi.org/10.5281/zenodo.11488368
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 8, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sima Barzegar; Sima Barzegar; Marc Ruiz; Marc Ruiz; Luis Velasco; Luis Velasco
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data of the journal paper:

    S. Barzegar, M. Ruiz and L. Velasco, "Autonomous Flow Routing for Near Real-Time Quality of Service Assurance," in IEEE Transactions on Network and Service Management, vol. 21, no. 2, pp. 2504-2514, April 2024, doi: 10.1109/TNSM.2023.3339201 (link to the paper)

    This dataset has been generated within the framework of the European Commission thought the HORIZON SNS JU DESIRE6G (G.A. 101096466), the MINECO UNICO5G TIMING (TSI-063000-2021-145) and the MICINN IBON (PID2020-114135RB-I00) projects, and from the ICREA Institution. (2023-12-05).

    Additional details and updates can be checked in the following link

  16. C

    CNC Routing Service Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 10, 2025
    + more versions
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    Market Report Analytics (2025). CNC Routing Service Report [Dataset]. https://www.marketreportanalytics.com/reports/cnc-routing-service-76842
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The CNC routing service market is experiencing robust growth, driven by increasing demand across diverse sectors like aerospace, medical, automotive, and furniture manufacturing. The market's expansion is fueled by the precision and efficiency of CNC routing in producing complex parts and designs, coupled with the rising adoption of automation in manufacturing processes. The versatility of CNC routing, accommodating various materials such as wood, plastic, metal, and composites, further broadens its applications and contributes to market expansion. While the exact market size for 2025 is unavailable, based on industry trends and a projected CAGR (assuming a conservative 6% annual growth considering the technological advancements in the field), we can estimate a market value of approximately $8 billion for 2025. This figure is a reasonable estimation taking into account similar machine tool market growth rates. North America and Europe currently dominate the market due to advanced manufacturing capabilities and a high adoption rate of CNC technologies. However, Asia-Pacific is expected to witness significant growth in the coming years driven by expanding industrialization and increasing investment in manufacturing infrastructure, particularly in China and India. The market faces some challenges, including high initial investment costs for CNC routing equipment and the need for skilled operators. However, these restraints are being mitigated by advancements in affordable, user-friendly CNC machines, coupled with increasing availability of training programs. The market segmentation reveals a strong demand across all applications, with the aerospace and medical sectors driving premium pricing due to stringent quality and precision requirements. The competitive landscape is fragmented, with both large multinational corporations and smaller specialized service providers vying for market share. Long-term growth will likely depend on further technological innovation, integration of smart manufacturing practices, and the expansion into emerging markets. The forecast period (2025-2033) suggests a continuously expanding market, driven by ongoing technological advancements and increasing adoption of automation across numerous industrial segments. The market is poised for strong growth, especially as the demand for customized and precision-engineered components continues to increase.

  17. Cost-Aware Automatic Reconfiguration of Service- and Cloud-Based Dynamic...

    • zenodo.org
    zip
    Updated May 31, 2021
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    Anonymous; Anonymous (2021). Cost-Aware Automatic Reconfiguration of Service- and Cloud-Based Dynamic Routing Architectures to Prevent System Overload [Dataset]. http://doi.org/10.5281/zenodo.4882899
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    zipAvailable download formats
    Dataset updated
    May 31, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anonymous; Anonymous
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The evaluation script, the calculated Pareto fronts, and the evaluation log containing detailed information of each systematic evaluation case are anonymously downloadable to support reproducibility.

  18. D

    Vehicle Routing and Scheduling Applications Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 5, 2024
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    Dataintelo (2024). Vehicle Routing and Scheduling Applications Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-vehicle-routing-and-scheduling-applications-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Vehicle Routing and Scheduling Applications Market Outlook



    In 2023, the global market size for Vehicle Routing and Scheduling Applications is projected to be around USD 2.1 billion, with a promising compound annual growth rate (CAGR) of 9.2% expected to elevate it to approximately USD 4.7 billion by 2032. This robust growth is driven by increasing demands for efficient logistics and transportation solutions, coupled with advancements in technology and integration capabilities.



    The growth factors of the Vehicle Routing and Scheduling Applications market are multifaceted. For one, the rapid growth of e-commerce has necessitated more sophisticated logistics solutions to handle the increased volume of deliveries. Companies are increasingly turning to advanced routing and scheduling software to optimize delivery routes, reduce fuel consumption, and ensure timely deliveries. This has been particularly important as consumer expectations for faster shipping times have grown alongside the convenience of online shopping.



    Another significant growth driver is the rising focus on sustainability and reducing carbon footprints. Transportation is a major contributor to greenhouse gas emissions, and optimizing vehicle routes can significantly reduce fuel consumption and associated emissions. This aligns with global sustainability goals and regulations, making it a priority for companies to invest in these technologies. Moreover, governments in various regions are introducing stringent regulations that mandate emissions reductions, further propelling the adoption of these applications.



    Additionally, technological advancements such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are revolutionizing the capabilities of vehicle routing and scheduling applications. These technologies enable real-time data processing, predictive analytics, and automated decision-making, which contribute to more efficient and adaptive routing solutions. As these technologies continue to evolve, their integration into routing and scheduling applications is expected to offer even more sophisticated and efficient solutions, further driving market growth.



    Regional growth in the Vehicle Routing and Scheduling Applications market is varied. North America currently leads the market due to its advanced technological infrastructure and high adoption rates of new technologies by logistics companies. However, the Asia Pacific region is expected to witness the highest growth rate in the coming years, propelled by rapid urbanization, industrialization, and the expansion of e-commerce in countries like China and India. Europe also holds a significant share, driven by stringent environmental regulations and a strong focus on sustainability.



    Component Analysis



    The Vehicle Routing and Scheduling Applications market is segmented by components into software and services. The software segment is poised for significant growth, driven by the increasing need for advanced tools that can handle complex routing and scheduling tasks. These software solutions leverage advanced algorithms and real-time data to optimize routes, reduce fuel consumption, and improve overall efficiency. The integration of AI and ML in these software solutions is further enhancing their capabilities, making them indispensable for modern logistics operations.



    Services, the other component segment, include consulting, implementation, and maintenance services, which are essential for the successful deployment and operation of these applications. The demand for services is growing as companies seek to ensure that their routing and scheduling applications are optimally configured and maintained. This includes regular updates, troubleshooting, and training for staff to effectively utilize these tools. The services segment is also benefiting from the trend of outsourcing IT management and maintenance to specialized service providers.



    The integration of software and services is critical for maximizing the benefits of vehicle routing and scheduling applications. Software alone cannot deliver the desired results without proper implementation and ongoing support. Therefore, companies are increasingly opting for comprehensive service packages that include initial setup, customization, training, and regular updates. This holistic approach ensures that the applications function seamlessly and deliver the expected efficiency gains.



    With the growing complexity of logistics operations, the need for specialized software and services is more pronounc

  19. d

    Public Transport Authority Service Routes (PTA-002) - Datasets -...

    • catalogue.data.wa.gov.au
    Updated Dec 19, 2017
    + more versions
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    (2017). Public Transport Authority Service Routes (PTA-002) - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/public-transport-authority-services-bus-routes
    Explore at:
    Dataset updated
    Dec 19, 2017
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Western Australia
    Description

    All service routes and related information for public transport bus, train and ferry services providing state wide coverage. Show full description

  20. Replication data of Autonomous flow routing for near real-time quality of...

    • zenodo.org
    txt, zip
    Updated Mar 1, 2025
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    Marc Ruiz; Marc Ruiz; Luis Velasco; Luis Velasco (2025). Replication data of Autonomous flow routing for near real-time quality of service assurance [Dataset]. http://doi.org/10.34810/data1404
    Explore at:
    txt, zipAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Marc Ruiz; Marc Ruiz; Luis Velasco; Luis Velasco
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset contains replication data of the journal paper titled "Autonomous Flow Routing for Near Real-Time Quality of Service Assurance", published in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2023.3339201.

Share
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Esri (2012). World Route [Dataset]. https://hub.arcgis.com/content/1feb41652c5c4bd2ba5c60df2b4ea2c4
Organization logo

World Route

Explore at:
Dataset updated
Dec 12, 2012
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
World
Description

The World Route service can be used to find the best way to get from one location to another or to visit several locations. The best route can be the quickest route for a given time of day considering the traffic conditions applicable during that time, or it can be the shortest route that minimizes the travel distance. The route service can also find the best route that visits each stop during permitted time windows you specify. If you have more than two stops to visit, the best route can be determined for the fixed order of locations you specify. Such a route is called as a simple route. Alternatively, the route service can determine the best sequence in which to visit the locations (the traveling salesman problem). Such a route is called as an optimized route.The service can be used to generate routes in and between many countries around the world. ArcMap users can learn how to use this service in the ArcGIS Help. For detailed information on this service from a developer's perspective, including a data coverage map, visit the REST API Documentation.

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