This report provides Transforma Insights’ views on the IoT market associated with Road Traffic Monitoring & Control, including road tolling systems, traffic enforcement cameras, and connected traffic signals and signs.
Traffic management is one of the major challenges faced by cities due to overcrowding, increasing numbers of daily commuters, outdated road networks, and increasing vehicle ownership. Cities have started using CCTV footage to retrieve vehicle-related data and accordingly manage traffic, as well as to suggest improvements in the infrastructure. Traffic lights and road signs are also being connected to control traffic and inform drivers with the necessary information in real time, including speed limits, traffic jams, and potential hazards on the road ahead. IoT is also being used to simplify payments at toll booths by allowing automated tolling and alternative payment methods, enabling drivers to reduce the time and emissions caused by going from one place to another and opening new sources of revenue.
This is a relatively mature sector, with road tolling and other similar applications deployed in numerous cities around the world. In total, there will be over 310 million IoT-connected devices in road traffic monitoring and control-related applications in 2033, up from 156 million in 2023. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite, and others), as well as the revenue split between module, value-added connectivity, and services. A full set of forecast data, including country-level forecasts, sector breakdowns and public/private network splits, is available through the IoT Forecast tool.
This section of the report begins by discussing the benefits of smart traffic systems, like reducing congestion, idle time of vehicles, and the amount of wasted fuel and pollution. It then lists some of the reasons (like increasing number of vehicles) that are encouraging cities to implement such systems. It also talks about some of the financial benefits of smart traffic management solutions (such as retrofitting them to existing infrastructure) and also charts the reasons (like limited budget) that limit their adoption.
The report then examines key factors that are influencing the development of the market, including:
This section explains how smart road pricing schemes function and the benefits associated with them (such as significantly reducing the wait time in tolls using automated means). It then talks about the two major sub-groups that these automated systems work under; Automatic Number Plate Recognition (ANPR) and Transponders and Tags.
The subsection, “Automatic Number Plate Recognition (ANPR)” discusses the functioning of ANPR-based video tolling, their major benefits (like being cost-effective), the major cities where they have already been deployed (like London and Milan), and the countries that are planning to implement the solution (like Australia).
The other subsection, “Transponders and Tags” talks about the functioning and features of this technology (such as establishing bidirectional communication between Road Pricing Infrastructure and the OBU for up to 20 metres). It then focuses on DSRC (Dedicated Short-Range Communications) that transponders use and explains the major differences between transponders and RFID tags. It also mentions the advantages of OBU (like over 99.999% reading accuracy) and the major geographical locations where they are operated (like India - under the name of Fastag). It further talks about some further features of DSRC transponders like General Navigation Satellite Systems (GNSS) and smartphone compatibility.
It also discusses some nationwide schemes that countries have implemented to improve payment processes and reduce waiting times at toll booths. To cite a few instances, in Japan, many drivers pay tolls via the Electronic Toll Collection (ETC) system, and in Singapore, the government is switching to the satellite-based Electronic Road Pricing (ERP) 2.0 system.
The section also reviews some examples of relevant IoT deployments in this application, like Thales Group implementing its PITZ electronic toll collection system along Guatemala’s Palin-Escuintla toll corridor, to manage the payments of 22,000+ vehicles that pass through the corridor each day.
This section begins with a definition of intelligent traffic monitoring systems and their utilities (such as ensuring smoother traffic flow). It then explains the three components of smart traffic monitoring infrastructure and discusses the benefits of using AI in automated traffic surveillance systems like managing traffic and monitoring situations in real-time, eventually reducing the number of accidents. It then shifts its focus to smart road signs, which are an extension of this system, and have their own benefits, such as allowing operators to inform drivers of road and traffic-related updates. It also touches upon the use of AI in large cities, in the context of smart traffic management and describes how the collected data is processed to ensure a smoother flow of traffic.
The discussion includes some of the government initiatives (like that of Singapore, New York, and Paris) that are aimed to encourage the deployment of these smart systems, and charts some of the limitations (such as insufficient budget of public bodies and collection of sensitive information), which may hinder their adoption.
This section also gives some examples of relevant IoT deployments in this application, like Yunex Traffic’s traffic monitoring solution, which will be used to monitor and control traffic in four tunnels in Jerusalem (Israel) to ensure a smooth flow of traffic and take immediate actions during emergencies.
The key vendors section lists some of the main providers of products and services related to the market such as NoTraffic, Parifex, Road Traffic Solutions, Yunex Traffic, Thales Group, TransCore, Swarco, SRL Traffic Systems, and Kapsch TrafficCom AG. The report provides profiles of the various vendors including aspects most relevant to this Application Group, such as product offerings, pricing, financial results, and technology.
In the market forecasts section, we provide a summary of the forecasts from the Transforma Insights IoT Forecast Database:
The report charts the growth in the number of connected road traffic monitoring and control devices, which will grow from 156.3 million in 2023 to 310.2 million in 2033.
Transforma Insights forecasts are compiled on a country-by-country basis. This report includes a regional summary, showing splits between Australasia, Greater China, North America, Europe, Japan, Latin America, MENA, Russia & Central Asia, South East Asia, South Korea, India & South Asia, and Sub-Saharan Africa.
Transforma Insights’ IoT forecasts include splits between the various connectivity technologies as follows: 2G, 3G, 4G, 5G mMTC, 5G non-mMTC, LPWA (non-mMTC), Satellite, Short Range, and Other.
This section discusses which technologies will be used in the road traffic monitoring & control application group.
This part of the report discusses the market growth in terms of revenue (module revenue, service wrap revenue, and VAC revenue). Transforma Insights estimates that the revenue in the Road Traffic Monitoring & Control Application Group will grow at a CAGR of 8%.
