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.

The CNC routing service market is experiencing robust growth, driven by increasing demand across diverse sectors such as aerospace, medical, automotive, and furniture manufacturing. The market's expansion is fueled by the precision and efficiency of CNC routing technology, enabling the creation of complex designs and intricate parts with high accuracy. The adoption of advanced materials like composites further boosts market growth, as CNC routing offers a versatile solution for processing these challenging materials. While the market is fragmented with numerous players, including both large established companies and smaller specialized businesses, there's a notable trend towards automation and digitalization within the CNC routing service sector. This includes the integration of CAD/CAM software and advanced machine controls, resulting in improved productivity and reduced manufacturing times. The global market is geographically diverse, with North America and Europe currently leading in market share due to established manufacturing bases and technological advancements. However, Asia-Pacific is projected to witness significant growth in the coming years, driven by expanding industrialization and rising disposable incomes. Challenges for the industry include fluctuating raw material prices and the need for skilled operators. Despite these, the overall outlook remains positive, indicating sustained market expansion over the forecast period. The growth trajectory is projected to remain strong, propelled by ongoing technological advancements and the increasing adoption of CNC routing in specialized applications. For instance, the aerospace industry's demand for lightweight and high-strength components is driving the use of advanced composite materials, creating significant opportunities for CNC routing service providers. Similarly, the medical industry's need for precise and intricate parts for prosthetics and medical devices fuels the growth of this specialized service. The automotive sector's focus on lightweighting and design customization also contributes positively to market expansion. While competition is intense, companies are focusing on offering specialized services, catering to specific industry needs, and leveraging digital technologies for better efficiency and customer engagement. Further market consolidation is anticipated through strategic partnerships and acquisitions. The rising emphasis on sustainable practices within manufacturing will also influence the market, prompting the adoption of eco-friendly materials and processes.

Managed Router Service Market Outlook

The global market size for managed router services was valued at approximately USD 6.8 billion in 2023 and is expected to reach USD 12.5 billion by 2032, growing at a CAGR of 7.2% during the forecast period. This growth is primarily driven by the increasing demand for efficient, reliable, and secure network management solutions.

The primary growth factor for the managed router service market is the expanding need for scalable and cost-effective network management solutions. With enterprises increasingly relying on complex networking systems, the demand for managed router services has surged. These services offer the necessary expertise, management tools, and security measures that are crucial for maintaining robust network performance without the need for significant in-house resources. The rapid adoption of cloud-based applications and the growing trend of remote work have further accelerated the demand for managed router services.

Another significant driver is the increasing focus on network security and compliance. As cyber threats become more sophisticated, organizations are prioritizing the implementation of advanced security protocols managed by specialized service providers. Managed router services come with integrated security features such as firewalls, intrusion detection systems, and regular security updates, which help organizations safeguard their data and comply with regulatory requirements. This emphasis on security and compliance is particularly vital for industries such as BFSI, healthcare, and retail, where the protection of sensitive information is paramount.

Technological advancements and the proliferation of IoT devices are also contributing to the market growth. The integration of IoT in various sectors has resulted in a significant increase in the volume of data transmitted over networks. Managed router services provide the necessary infrastructure to handle this surge in data traffic efficiently. The introduction of 5G technology is another catalyst, offering faster and more reliable connectivity, which is essential for the optimal performance of IoT applications. As a result, businesses are increasingly outsourcing their network management to specialized providers to ensure seamless connectivity and operational efficiency.

The rise of Remote Access Router technology has further enhanced the capabilities of managed router services. As businesses increasingly adopt flexible work arrangements, the need for secure and efficient remote access solutions becomes paramount. Remote Access Routers facilitate seamless connectivity for remote workers, enabling them to access corporate networks securely from any location. This technology not only supports the growing trend of remote work but also ensures that businesses can maintain productivity and collaboration without compromising on security. By integrating Remote Access Routers into their network management strategies, organizations can provide their employees with reliable access to essential resources, thereby enhancing operational efficiency and employee satisfaction.

From a regional perspective, North America holds the largest share of the managed router service market, followed by Europe and Asia Pacific. The high adoption rate of advanced technologies and the presence of several key market players in North America contribute to its dominant position. In Asia Pacific, the market is expected to grow at the highest CAGR due to the rapid digital transformation and increasing investments in IT infrastructure by emerging economies such as China and India. Europe also shows steady growth, driven by stringent data protection regulations and the increasing need for secure network management solutions.

Service Type Analysis

The managed router service market is segmented by service type into network monitoring, configuration management, security management, and others. Network monitoring services play a crucial role in ensuring the optimal performance of network infrastructure. These services involve continuous surveillance of the network to detect and resolve issues such as latency, downtime, and connectivity problems. The growing complexity of network systems, coupled with the need for real-time performance insights, drives the adoption of network monitoring services. Organizations benefit from proactive issue detection and resolution, which minimizes downtime and enhances overall network efficiency.

Con

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

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.

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.

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

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

The routing service of the BKG makes it possible to calculate the fastest and shortest route (route) between a predetermined start and destination point, including waypoints (Via-Points). In addition, blocking points and barrier areas can be used for route calculation. The routing data of the user community OpenStreetMap (OSM) serves as the data base. In addition, based on the OSM data, accessibility analyses can be calculated over a predetermined time (isochronic) or over a predetermined distance. The Openroute Service (ORS) developed by Heidelberg University serves as routing software. The routing service has worldwide coverage. Furthermore, the world-operating geocoding service Nominatim is provided, whose data is also the data of OSM. web_ors_all is the routing service for all users who do not belong to the federal administration.

The Managed Router Service market is projected to reach $XXX million by 2033, exhibiting a CAGR of XX% during the forecast period of 2025-2033. This growth can be attributed to the increasing adoption of cloud-based services, the proliferation of IoT devices, and the need for enhanced network security. The market is segmented by type (hardware support, software maintenance) and application (SMEs, large enterprises). North America is expected to hold the largest market share over the forecast period, followed by Europe and Asia Pacific. Key market trends include the growing adoption of SD-WAN solutions, the convergence of networking and security, and the emergence of AI and ML-powered network management tools. However, factors such as the high cost of managed router services and the lack of skilled professionals could restrain the market growth. Major market players include Spectrum Enterprise, Jisc, ExterNetworks, Comcast Business, AT&T Intellectual Property, NavLink, Zain, Hughes, STC, NineWire, Windstream, TTSA SA, Wafai net, OneNet, STEP CG, Skyspan, Vocus, Cisco, NuOz, Optus, Consolidated Communications, Fastmetrics, Benton REA, Acuity Solutions Group, MobileCorp, Segra, SDN Communications, Sierra Wireless, AT TOKYO, Mobily, Smart City Metro, and others.

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.

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

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.

The National Transit Map - Routes dataset was compiled on March 19, 2025 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Transit Map (NTM) is a nationwide catalog of fixed-guideway and fixed-route transit service in America. It is compiled using General Transit Feed Specification (GTFS) Schedule data. The NTM Routes dataset shows transit routes, which is a group of trips that are displayed to riders as a single service. To display the route alignment and trips for each route, this dataset combines the following GTFS files: routes.txt, trips.txt, and shapes.txt. The GTFS Schedule documentation is available at, https://gtfs.org/schedule/. To improve the spatial accuracy of the NTM Routes, the Bureau of Transportation Statistics (BTS) adjusts transit routes using context from the submitted GTFS source data and/or from other publicly available information about the transit service. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529048

The HeiGIT developed at the University of Heidelberg OpenRouteService offers a variety of interfaces in the field of navigation and routing worldwide: directions, isochrones (reachability polygons), OD distance matrices, geocoding, POIs, elevation and beautiful map tiles. Our service has some unique features: - Europe-wide wheelchair routing - Population statistics for isochrones - Rich restrictions that can be used in routing, e.g. B. vehicle dimensions, polygons to avoid, countries to avoid etc. A rich API playground makes development with OpenRouteService very enjoyable simple and clear. Individual API keys can be generated after a registration.

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).

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.

Student ride times were reported as defined by the time difference between the scheduled stop time and the school session time. This was reported at the student level as this is a more useful metric for judging service provided. A full route, including all pick ups and drop offs would not be reflective of the time any individual student spent on the bus. Current curb-to-school routing systems do not capture scheduled pick up times, therefore this metric could not be calculated. Pick up times are estimated by school bus companies and communicated to parents directly. For stop-to-school routes the average scheduled student ride time was provided. As stated above, this could not be calculated for curb-to-school service as our current data structure does not support this Students with blank to school Monday session time were excluded. Dry run reporting was submitted with the April 2021 report

This API provides information about the operators which are contracted to Transport for NSW. It provides the route and service by Operator.

This data is also considered a master (reference) list of transport routes and lines.

The data is based on the Transport for NSW Contract Management Route Services and includes route lookup, operator contact details, operator Twitter handles, colours and icons.