Linear network representing the estimated traffic flows for roads and highways managed by the Ministry of Transport and Sustainable Mobility (MTMD). These flows are obtained using a statistical estimation method applied to data from more than 4,500 collection sites spread over the main roads of Quebec. It includes DJMA (annual average daily flow), DJME (summer average daily flow), DJME (summer average daily flow (June, July, August, September) and DJMH (average daily winter flow (December, January, February, March) as well as other traffic data. It is important to note that these values are calculated for total traffic directions. Interactive map: Some files are accessible by querying an à la carte traffic section with a click (the file links are displayed in the descriptive table that is displayed upon click): • Historical aggregate data (PDF) • Annual reports for permanent sites (PDF and Excel) • Hourly data (hourly average per weekday per month) (Excel) This third party metadata element was translated using an automated translation tool (Amazon Translate).

Traffic-related data collected by the Boston Transportation Department, as well as other City departments and State agencies. Various types of counts: Turning Movement Counts, Automated Traffic Recordings, Pedestrian Counts, Delay Studies, and Gap Studies.

~_Turning Movement Counts (TMC)_ present the number of motor vehicles, pedestrians, and cyclists passing through the particular intersection. Specific movements and crossings are recorded for all street approaches involved with the intersection. This data is used in traffic signal retiming programs and for signal requests. Counts are typically conducted for 2-, 4-, 11-, and 12-Hr periods.

~_Automated Traffic Recordings (ATR)_ record the volume of motor vehicles traveling along a particular road, measures of travel speeds, and approximations of the class of the vehicles (motorcycle, 2-axle, large box truck, bus, etc). This type of count is conducted only along a street link/corridor, to gather data between two intersections or points of interest. This data is used in travel studies, as well as to review concerns about street use, speeding, and capacity. Counts are typically conducted for 12- & 24-Hr periods.

~_Pedestrian Counts (PED)_ record the volume of individual persons crossing a given street, whether at an existing intersection or a mid-block crossing. This data is used to review concerns about crossing safety, as well as for access analysis for points of interest. Counts are typically conducted for 2-, 4-, 11-, and 12-Hr periods.

~_Delay Studies (DEL)_ measure the delay experienced by motor vehicles due to the effects of congestion. Counts are typically conducted for a 1-Hr period at a given intersection or point of intersecting vehicular traffic.

~_Gap Studies (GAP)_ record the number of gaps which are typically present between groups of vehicles traveling through an intersection or past a point on a street. This data is used to assess opportunities for pedestrians to cross the street and for analyses on vehicular “platooning”. Counts are typically conducted for a specific 1-Hr period at a single point of crossing.

Traffic Data as a Service Market Outlook

According to our latest research, the global Traffic Data as a Service market size stood at USD 1.68 billion in 2024, reflecting the increasing integration of real-time traffic intelligence across urban and commercial landscapes. The market is projected to grow at a robust CAGR of 19.2% from 2025 to 2033, reaching an estimated USD 7.84 billion by 2033. This significant expansion is primarily driven by the rising need for smart mobility solutions, government investments in intelligent transportation infrastructure, and the accelerating adoption of cloud-based analytics for dynamic traffic management. As per our latest research, the surge in connected vehicles, IoT adoption, and the imperative to minimize urban congestion are key factors propelling the global market forward.

One of the most influential growth factors in the Traffic Data as a Service market is the rapid urbanization and proliferation of smart city initiatives worldwide. As cities continue to expand and populations grow, urban planners and government agencies are increasingly relying on advanced traffic data solutions to manage congestion, optimize public transport, and enhance road safety. The deployment of intelligent transportation systems (ITS) that leverage real-time and predictive data is becoming standard practice, enabling authorities to make data-driven decisions for efficient traffic flow. Furthermore, the integration of advanced sensors, GPS, and IoT devices into road networks is fueling the demand for comprehensive traffic data platforms, which in turn is driving market growth at an unprecedented rate.

Another major driver is the escalating need for route optimization and logistics efficiency among commercial enterprises and logistics companies. The rise of e-commerce and on-demand delivery services has placed immense pressure on supply chains to minimize delivery times and reduce operational costs. Traffic Data as a Service platforms offer granular insights into real-time and historical traffic patterns, allowing businesses to optimize delivery routes, avoid congested areas, and improve overall fleet utilization. This not only enhances customer satisfaction but also contributes to significant cost savings and reduced carbon emissions, making traffic data solutions an essential tool for the modern logistics sector.

The increasing adoption of cloud-based deployment models is also transforming the Traffic Data as a Service landscape. Cloud-based solutions offer unparalleled scalability, flexibility, and cost-effectiveness, enabling organizations of all sizes to access advanced analytics without the need for substantial capital investment in infrastructure. The ability to integrate traffic data with other enterprise systems, such as ERP and CRM, further amplifies the value proposition for end-users. Additionally, advancements in artificial intelligence and machine learning are enabling predictive analytics capabilities, empowering stakeholders to anticipate and mitigate traffic-related challenges proactively. These technological innovations are expected to further accelerate market growth over the forecast period.

From a regional perspective, North America currently dominates the Traffic Data as a Service market, driven by robust investments in smart infrastructure and the widespread adoption of connected vehicle technologies. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid urbanization, government-led smart city projects, and the proliferation of mobile devices. Europe, with its focus on sustainable urban mobility and stringent emission regulations, also represents a significant share of the global market. As these regions continue to prioritize intelligent transportation solutions, the demand for advanced traffic data services is expected to witness sustained growth across the globe.

Component Analysis

The Traffic Data as a Service market is segmented by component into Software, Services, and Platforms, each playing

Brazil Highways Statistics: Traffic Tolled: Total Traffic data was reported at 1,834.949 Unit in 2017. This records an increase from the previous number of 1,782.727 Unit for 2016. Brazil Highways Statistics: Traffic Tolled: Total Traffic data is updated yearly, averaging 681.920 Unit from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 1,834.949 Unit in 2017 and a record low of 19.564 Unit in 1996. Brazil Highways Statistics: Traffic Tolled: Total Traffic data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW003: Highways Statistics: Traffic Tolled. The Brazilian Association of Highway Concessionaires-ABCR represents the highway concession sector.

Traffic volumes data across Dublin City from the SCATS traffic management system. The Sydney Coordinated Adaptive Traffic System (SCATS) is an intelligent transportation system used to manage timing of signal phases at traffic signals. SCATS uses sensors at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at the local site. The vehicle sensors are generally inductive loops installed within the road. 3 resources are provided: SCATS Traffic Volumes Data (Monthly) Contained in this report are traffic counts taken from the SCATS traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Thus the traffic volume counts here are best used to represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows. Information provided: End Time: time that one hour count period finishes. Region: location of the detector site (e.g. North City, West City, etc). Site: this can be matched with the SCATS Sites file to show location Detector: the detectors/ sensors at each site are numbered Sum volume: total traffic volumes in preceding hour Avg volume: average traffic volumes per 5 minute interval in preceding hour All Dates Traffic Volumes Data This file contains daily totals of traffic flow at each site location. SCATS Site Location Data Contained in this report, the location data for the SCATS sites is provided. The meta data provided includes the following; Site id – This is a unique identifier for each junction on SCATS Site description( CAP) – Descriptive location of the junction containing street name(s) intersecting streets Site description (lower) - – Descriptive location of the junction containing street name(s) intersecting streets Region – The area of the city, adjoining local authority, region that the site is located LAT/LONG – Coordinates Disclaimer: the location files are regularly updated to represent the locations of SCATS sites under the control of Dublin City Council. However site accuracy is not absolute. Information for LAT/LONG and region may not be available for all sites contained. It is at the discretion of the user to link the files for analysis and to create further data. Furthermore, detector communication issues or faulty detectors could also result in an inaccurate result for a given period, so values should not be taken as absolute but can be used to indicate trends. .hidden { display: none } Public Dashboards

Feature layer containing authoritative traffic count points for Sioux Falls, South Dakota.The traffic counts listed are 24-hour, weekday, two-directional counts. Traffic counts are normally collected during the summer months, but may be taken any season, as weather permits. The traffic counts are factored by the day of the week as well as by the month of the year to become an Average Annual Daily Total (AADT). Traffic volumes (i.e. count data) can fluctuate depending on the month, week, day of collection; the weather, type of road surface, nearby construction, etc. All of the historical data should be averaged to reflect the "normal" traffic count. More specific count data (time, date, hourly volume) can be obtained from the Sioux Falls Engineering Division at 367-8601.

Dataset

This dataset was created by YUCHU Shen

Released under Apache 2.0

Contents

Traffic volumes data across Dun Laoghaire Rathdown from the SCATS traffic management system. The Sydney Coordinated Adaptive Traffic System (SCATS) is an intelligent transportation system used to manage timing of signal phases at traffic signals. SCATS uses sensors at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at the local site. SCATS Traffic Volumes Data (Monthly) Contained in this report are traffic counts taken from the SCATS traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Thus the traffic volume counts here are best used to represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows. Please note this data is for information purposes only and may not be an exact representation of the infrastructure. Changes and upgrades occurring since then may not be represented.

The statistics refer to the volume of road traffic in Wales. Road traffic estimates for Wales are compiled by the Department for Transport on behalf of the Welsh Government. These estimates are based on annual roadside manual road traffic counts carried out across Wales during the year. These roadside counts are combined with automatic traffic count (ATC) data and road lengths to produce overall traffic estimates. Traffic estimates for major roads are based on a census of all such roads whereas traffic estimates for minor roads are estimated by calculating growth rates from a fixed sample of count points on the minor road network. Further details of the methodology are available from the DfT at the link below: https://www.gov.uk/government/publications/road-traffic-speeds-and-congestion-statistics-guidance . All surfaced roads (excluding Trunk Roads) are included in the estimates. The categories are: Major roads: Motorways. Dual carriageways designed for fast traffic with access limited to motor vehicles, and with relatively few places for joining or leaving. The only motorway in Wales is the M4. A County roads. All other A roads. Estimates for A roads are also available with sub-categories for urban and rural roads on StatsWales. Urban roads are those within the boundaries of settlements with a population of 10,000 or more, and rural roads are all other non-motorway major roads. Minor roads: B roads. Roads intended to connect different areas, and to feed traffic between A roads and smaller roads on the network. Classified unnumbered. Smaller roads intended to connect together unclassified roads with A and B roads, and often linking a housing estate or a village to the rest of the network. Similar to ‘minor roads’ on an Ordnance Survey map and sometimes known unofficially as C roads. Unclassified. Local roads intended for local traffic. The vast majority of roads fall within this category. The analysis by vehicle type is based on roadside observation where vehicles are classified according to their general appearance. The vehicle types identified are: 1) Pedal cycles: Includes all non-motorised cycles, 2) Motorcycles: Two-wheeled motor vehicles, including mopeds, motor scooters and motorcycle combinations, 3) Cars and taxis: Includes estate cars, all light vans with windows to the rear of the driver's seat, passenger vehicles with 9 seats or fewer, three-wheeled cars, motorised-invalid carriages, Land Rovers, Range Rovers and Jeeps. Cars towing caravans or trailers are counted as one vehicle, 4) Buses and coaches: Includes all public service vehicles and works buses other than vehicles with less than 10 seats, 5) Light vans: All goods vehicles up to 3,500kg gross vehicle weight. This includes all car-based vans and those of the next larger carrying-capacity, such as transit vans. Also included are ambulances, pick-ups, milk floats and pedestrian-controlled motor vehicles. Most of this group are delivery vans of one type or another, 6) Goods vehicles: All goods vehicles over 3,500kg gross vehicle weight. Includes tractors (without trailers), road-rollers, box vans and similar large vans. A two-axle motor tractor unit without trailer is also included, 7) All motor vehicles: All vehicles except pedal cycles. Traffic volume is measured using Vehicle Kilometres (VKM), which are calculated by multiplying the annual average daily flow of traffic by the corresponding length of road. For example, 1 vehicle travelling 1 kilometre a day for a year would be 365 VKM over a year. In this release estimates are presented as billion vehicle kilometres (bvk).

Snapshot img

Traffic Control Services Market Size 2025-2029

The traffic control services market size is forecast to increase by USD 11.13 billion, at a CAGR of 9.3% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing number of vehicles on the road and the resulting need for effective traffic management. This trend is further amplified by the concerning increase in road accidents, which underscores the importance of ensuring road safety, particularly in developing countries where infrastructure and enforcement may be lacking. The market faces challenges in addressing these issues, including the need for advanced technologies to improve traffic flow and safety, as well as the complexities of implementing and enforcing traffic control measures in diverse cultural and regulatory contexts.
Companies seeking to capitalize on market opportunities must stay abreast of emerging technologies, such as intelligent transportation systems and autonomous vehicles, while navigating the challenges of implementing and scaling their solutions in various global markets. Effective collaboration with local governments and stakeholders will be crucial for success in this dynamic and evolving market.

What will be the Size of the Traffic Control Services Market during the forecast period?

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The market is characterized by continuous evolution and dynamic market activities. Automated enforcement systems, traffic congestion mitigation, pedestrian safety, traffic monitoring, traffic flow optimization, cloud-based traffic management, artificial intelligence, and data analytics are integral components of modern traffic control systems. These technologies are applied across various sectors, including transportation planning, public transportation, intersection management, bicycle infrastructure, and urban planning. Real-time traffic information, roadway lighting, traffic signals, traffic control networks, and traffic planning are essential elements of traffic engineering. Adaptive traffic control, speed detection, emergency response, traffic simulation, and traffic cameras are critical components of intelligent transportation systems.

Traffic volume analysis and traffic pattern analysis provide valuable insights for effective traffic management. Roadway design, traffic signal timing, variable message signs, traffic data collection, traffic signs, traffic barriers, and roadway maintenance are essential traffic control devices. Machine learning and pedestrian crossing technologies enhance traffic safety and efficiency. Work zone management and traffic calming measures help mitigate traffic delays and improve overall traffic flow. Intersection management, public transportation, and urban planning are significant applications of traffic control services. Bicycle infrastructure and travel time prediction are emerging trends in the market, reflecting the evolving nature of traffic control services.

The integration of these technologies and applications creates a complex and dynamic market landscape that requires ongoing analysis and adaptation.

How is this Traffic Control Services Industry segmented?

The traffic control services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Event safety
  Traffic pacing
  Advanced warning sign installation
  Traffic control drawings
  Others


Application

  Highway
  Street
  Others


Deployment

  Permanent traffic control
  Temporary traffic control


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

The event safety segment is estimated to witness significant growth during the forecast period.

Traffic management is a crucial aspect of large-scale event organization, ensuring attendee safety and efficient flow during athletic events, concerts, parades, marathons, street festivals, charity events, and school functions. Traffic control services play a vital role in this process, providing comprehensive event safety services that include traffic engineering, traffic control software, and real-time traffic information.

The growing number of events worldwide is driving the demand for these services, necessitating effective traffic planning, incident management, and travel time prediction. Urban transportation and public transportation systems also rely on these technologies for intersection management, bicycle infrastructure, and travel time prediction, further increasing the market's potential.

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The Event safety segment was valued at USD 4.58 billion in 2019 and showed a gradual increase during the forecast period

Traffic volumes data across Dublin City from the SCATS traffic management system. The Sydney Coordinated Adaptive Traffic System (SCATS) is an intelligent transportation system used to manage timing of signal phases at traffic signals. SCATS uses sensors at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at the local site. The vehicle sensors are generally inductive loops installed within the road.

3 resources are provided:

SCATS Traffic Volumes Data (Monthly) Contained in this report are traffic counts taken from the SCATS traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Thus the traffic volume counts here are best used to represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows.

Information provided:

End Time: time that one hour count period finishes.

Region: location of the detector site (e.g. North City, West City, etc).

Site: this can be matched with the SCATS Sites file to show location

Detector: the detectors/ sensors at each site are numbered

Sum volume: total traffic volumes in preceding hour

Avg volume: average traffic volumes per 5 minute interval in preceding hour

All Dates Traffic Volumes Data

This file contains daily totals of traffic flow at each site location.

SCATS Site Location Data Contained in this report, the location data for the SCATS sites is provided. The meta data provided includes the following;

Site id – This is a unique identifier for each junction on SCATS

Site description( CAP) – Descriptive location of the junction containing street name(s) intersecting streets

Site description (lower) - – Descriptive location of the junction containing street name(s) intersecting streets

Region – The area of the city, adjoining local authority, region that the site is located

LAT/LONG – Coordinates

Disclaimer: the location files are regularly updated to represent the locations of SCATS sites under the control of Dublin City Council. However site accuracy is not absolute. Information for LAT/LONG and region may not be available for all sites contained. It is at the discretion of the user to link the files for analysis and to create further data. Furthermore, detector communication issues or faulty detectors could also result in an inaccurate result for a given period, so values should not be taken as absolute but can be used to indicate trends.

This dataset contains minute-by-minute Traffic Index data for Istanbul traffic. It doesn't have detailed data about individual roads, just the 3 numbers called 'Traffic Index' in Istanbul traffic apps.

Portable Traffic Data Collection Systems Market Outlook

According to our latest research, the global market size for Portable Traffic Data Collection Systems reached USD 1.62 billion in 2024, and is anticipated to expand at a CAGR of 8.1% from 2025 to 2033. By the end of the forecast period, the market is projected to achieve a value of USD 3.23 billion by 2033. The primary growth factor driving this market is the increasing demand for real-time and accurate traffic data to support smart city initiatives, urban mobility planning, and enhanced road safety measures, as per our latest research and industry analysis.

One of the most significant growth drivers for the Portable Traffic Data Collection Systems market is the rapid urbanization and the consequent rise in vehicular density across major cities globally. As urban centers continue to expand, the need for efficient traffic management has become paramount. Governments and urban planners are increasingly relying on advanced traffic data collection to optimize signal timings, reduce congestion, and improve road safety. The ability of portable systems to be quickly deployed and relocated makes them ideal for dynamic and temporary data collection needs, such as during roadworks, special events, or in areas experiencing sudden changes in traffic flow. Furthermore, the integration of these systems with smart city frameworks and intelligent transportation systems (ITS) has amplified their adoption, as municipalities strive for data-driven decision-making to address urban mobility challenges.

Technological advancements are also propelling the market forward. Innovations in sensor technologies, data analytics, wireless communication, and cloud-based platforms have significantly enhanced the accuracy, reliability, and flexibility of portable traffic data collection systems. Modern systems now offer real-time data transmission, remote monitoring, and seamless integration with existing traffic management infrastructure. This has enabled stakeholders to access actionable insights quickly and efficiently, supporting proactive interventions and policy formulation. The shift towards video-based and radar-based solutions, in particular, is driven by their ability to provide granular data on vehicle speed, classification, and count, further fueling market growth. As the cost of these technologies continues to decline, their adoption is expected to increase across both developed and developing regions.

Another key factor contributing to market expansion is the increased focus on sustainable transportation and environmental monitoring. Portable traffic data collection systems are being leveraged to assess the impact of traffic on air quality, noise pollution, and carbon emissions. This data is critical for designing low-emission zones, promoting public transportation, and implementing congestion pricing schemes. Additionally, the growing trend of public-private partnerships in the transportation sector has spurred investments in advanced traffic monitoring solutions. Private companies, research institutes, and urban planning organizations are collaborating to develop innovative applications, further diversifying the market landscape. As regulatory frameworks evolve to mandate comprehensive traffic data collection for infrastructure projects, the demand for portable solutions is expected to witness sustained growth.

Regionally, North America currently dominates the Portable Traffic Data Collection Systems market, accounting for the largest share in 2024. This leadership position is attributed to the early adoption of smart traffic management technologies, substantial government investments in infrastructure modernization, and the presence of leading technology providers. Europe follows closely, driven by stringent regulatory requirements for road safety and environmental monitoring. The Asia Pacific region, however, is poised for the fastest growth during the forecast period, fueled by rapid urbanization, increasing vehicle ownership, and large-scale smart city projects in countries such as China, India, and Japan. Latin America and the Middle East & Africa are also witnessing growing adoption, supported by urban development initiatives and cross-border transportation projects.

Product Type Analysis

The Product Type segment of the Portable Traffic Data Collection Systems market is highly diversified, encompassing radar-based sys

Snapshot img

Australia Traffic Management Market Size 2025-2029

The traffic management market in Australia size is forecast to increase by USD 273.1 billion at a CAGR of 6.5% between 2024 and 2029.

The market is experiencing significant growth due to the increasing issue of traffic congestion and the rising demand for smart parking solutions. With the tide in urbanization and population growth, managing traffic efficiently has become a major challenge for cities. The implementation of advanced technologies such as real-time traffic monitoring, intelligent transportation systems, and predictive analytics is helping to mitigate traffic congestion and improve overall traffic flow. However, data privacy and data security concerns remain a major challenge for traffic management solutions, as the collection and analysis of vast amounts of data requires strong security measures. This market analysis report provides an in-depth examination of the growth factors, trends, and challenges shaping the traffic management market.

What will be the Size of the Market During the Forecast Period?

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The traffic management market is a critical component of modern transportation infrastructure, with an increasing focus on optimizing traffic flow, enhancing safety, and promoting sustainable transportation solutions. This dynamic industry is driven by several key trends and innovations, all aimed at addressing the challenges of congestion, parking, and urban mobility. One significant trend in the traffic management market is the integration of big data analytics. By harnessing the power of data from various sources, including traffic sensors, parking systems, and public transportation networks, traffic managers can gain valuable insights into traffic patterns, parking availability, and demand. Another notable trend is the adoption of advanced technologies, such as cyclist detection systems and pedestrian detection systems. Innovations in parking technology include parking payments, parking reservation, and parking guidance systems. Additionally, parking pricing strategies and big data analytics are being used to optimize parking revenue and ensure efficient use of parking spaces.
Furthermore, safety training programs are essential to ensure that traffic managers and enforcement personnel are equipped with the knowledge and skills necessary to maintain a safe and efficient transportation network. Traffic congestion mitigation is another critical area of focus for the traffic management market. Intelligent transportation systems, such as traffic signal optimization and autonomous vehicle integration, are being employed to reduce congestion and improve overall traffic flow. Additionally, traffic calming measures, such as roundabouts and speed bumps, are being used to manage traffic and enhance safety in urban areas. The use of smart traffic management systems is gaining popularity in the traffic management market. These systems leverage advanced technologies, such as real-time traffic data analysis and traffic flow analysis, to provide actionable insights and enable proactive traffic management.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Hardware
  Software
  Services


Type

  Urban traffic management and control
  Adaptive traffic control system
  Journey time management system
  Dynamic traffic management system
  Others


Deployment

  On-premises
  Cloud


Geography

  Australia

    Australia

By Component Insights

The hardware segment is estimated to witness significant growth during the forecast period.

In the Australian traffic management market, the significance of hardware components in the deployment of intelligent transportation systems (ITS) cannot be overstated. Hardware elements such as traffic signals, cameras, and road sensors play a pivotal role in creating efficient and effective traffic management solutions. These devices are integral to monitoring traffic flow, controlling signal timings, and providing real-time updates to drivers, thereby improving connectivity and road safety. With the increasing population and expansion of urban areas in Australia, the demand for advanced traffic management systems is escalating. Hardware components are essential for addressing traffic congestion concerns and ensuring smooth traffic flow.

For instance, traffic signals optimized with AI technology can adapt to real-time traffic conditions and adjust timings accordingly. Similarly, GPS systems integrated with traffic management systems can provide drivers with real-time updates on traffic conditions and alternative routes. Smart mobility solutions, such as dynamic traffi

Traffic data from traffic detectors installed on strategic routes / major roads including traffic volume, traffic speed and road occupancy (Raw Data). Traffic speeds from traffic detectors installed on strategic routes / major roads mapped onto the respective road network segments (Processed Data).

Traffic Volumes data across Dublin City from the scats traffic management system. The Sydney Coordinated Adaptive Traffic System (scats) is an intelligent transportation system used to manage timing of signal Phases at traffic signals. Scats uses SENSORS at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at the local site. The vehicle SENSORS are Generally Inductive Loops installed within the road. 3 resources are provided: Scats Traffic Volumes Data (Monthly) Contained in this report are traffic Counts taken from the scats traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic Volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Set the traffic volume Counts here are best used to Represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows. Information provided: End Time: time that one hour count period finishes. Region: location of the detector site (e.g. North City, West City, etc.). Site: this can be matched with the scats Sites file to show location Detector: the detectors/SENSORS at each site are numbered Sum volume: total traffic Volumes in preceding hour AVG volume: average traffic Volumes per 5 minute interval in preceding hour All Dates Traffic Volumes Data This file contains daily totals of traffic flow at each site location. Scats Site Location Data Contained in this report, the location data for the scats sites is provided. The meta data provided includes the following; Site id — This is a unique identifier for each junction on scats Site description(CAP) — Descriptive location of the junction containing street name(s) intersecting street streets Site description (lower) — – Descriptive location of the junction containing street name(s) intersecting street streets Region — The area of the city, adjoining local authority, region that the site is located Lat/LONG — Coordinates Disclaimer: the location files are regularly updated to Represent the locations of scats sites under the control of Dublin City Council. However site accuracy is not absolute. Information for LAT/LONG and region may not be available for all sites contained. It is at the discretion of the user to link the files for analysis and to create further data. Furthermore, detector communication issues or Faulty detectors could also result in an inaccurate result for a given period, so values should not be taken as absolute but can be used to indicate trends.

A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

This product provides daily, aggregated foot traffic counts at the retail center level, offering comprehensive coverage across over 30,000 retail centers in the United States.

Each mall or retail center is meticulously categorized by type, such as super-regional, power, or lifestyle center, and includes Gross Leasable Area (GLA). This enables robust, structured analysis across various formats and geographical regions.

Distinct from datasets that aggregate tenant-level activity, this product precisely measures the unique number of visits to the retail center itself. It is ground truth validated against physical hardware sensors, ensuring highly accurate measurement even in complex, built-up, and multi-level environments where mobile-only data sources often falter.

Mall-level traffic data can be utilized independently for broad market insights or alongside store-level visit data to understand how individual tenants are performing relative to overall center trends. The data is fully aggregated and anonymized, delivered as a daily feed to support critical business functions such as benchmarking, thorough lease evaluations, and in-depth long-term trend analysis.

3 resources are provided: SCATS Traffic Volumes Data (Monthly) Contained in this report are traffic counts taken from the SCATS traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Thus the traffic volume counts here are best used to represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows. Information provided: End Time: time that one hour count period finishes. Region: location of the detector site (e.g. North City, West City, etc). Site: this can be matched with the SCATS Sites file to show location Detector: the detectors/ sensors at each site are numbered Sum volume: total traffic volumes in preceding hour Avg volume: average traffic volumes per 5 minute interval in preceding hour All Dates Traffic Volumes Data This file contains daily totals of traffic flow at each site location. SCATS Site Location Data Contained in this report, the location data for the SCATS sites is provided. The meta data provided includes the following; Site id – This is a unique identifier for each junction on SCATS Site description( CAP) – Descriptive location of the junction containing street name(s) intersecting streets Site description (lower) - – Descriptive location of the junction containing street name(s) intersecting streets Region – The area of the city, adjoining local authority, region that the site is located LAT/LONG – Coordinates Disclaimer: the location files are regularly updated to represent the locations of SCATS sites under the control of Dublin City Council. However site accuracy is not absolute. Information for LAT/LONG and region may not be available for all sites contained. It is at the discretion of the user to link the files for analysis and to create further data. Furthermore, detector communication issues or faulty detectors could also result in an inaccurate result for a given period, so values should not be taken as absolute but can be used to indicate trends. .hidden { display: none }