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Artificial Intelligence: Future of Traffic Management

The transportation industry is undergoing a renaissance. Traffic, congestion, the percentage of connected cars on the road, and even the number of pedestrians are all on the rise. To increase public safety and make roads safer for cars and pedestrians, transportation companies have to adapt to these developments. We need innovative ways and better solutions, which AI can provide, to accelerate the mobility shift. Artificial Inetlligence has the potential to improve road situations and free up significant police forces that can be deployed elsewhere.

Benefits of Intelligent Traffic Management

The use of AI, machine learning, computer vision, sensors, and data analysis tools to collect and analyze traffic data, produce solutions, and apply them to the traffic infrastructure is referred to as intelligent traffic management systems.

Artificial intelligence solution analyzes traffic and driver behaviour in order to detect illegal road behaviours such as running red lights, making illegal turns, driving in the bus lane, speeding, and so on.

Intelligent Traffic Management Systems helps smart cities achieve goals like environmental sustainability in addition to improving traffic conditions.

Traffic Management in the Netherlands

The traffic network in the Netherlands is relatively dense and heavily utilized. If we want to keep all traffic flowing smoothly, smart traffic management is required. The Netherlands has one of the world’s most advanced highway networks, with variable message signs and electronic signalization installed on the majority of the network — as of 2004, 980 kilometres of highway had been equipped with electronic traffic signalization. Every day, almost 10 million traffic data updates are received by the Dutch National Data Warehouse (NDW) from all throughout the country. It is the world’s first nationwide implementation.

NDW covers nearly 10,000km of Dutch highways, national roads and urban roads. NDW covers nearly 10,000km of Dutch highways, national roads and urban roads. The data from NDW is distributed to all traffic information service providers and major road operators in the Netherlands.

In the Netherlands smart mobility is fast evolving, and it offers numerous benefits in the short and long term, such as improved traffic flow and safety, as well as the ability to make vehicles function more economically and cleanly.

Road to the Future



The traffic sensors currently in use in the Netherlands are the most cutting-edge technology available. The gathering of accurate traffic data, which specifies the status of the road network, the current traffic circumstances, and information on highway conditions and the near environment, is a necessity for road network operations. Artificial Intelligence (AI) and Intelligent Traffic Management (ITMS) can assist in addressing and resolving a variety of traffic law enforcement challenges.



Vehant, an Indian developer of intelligent scanners for traffic management and security, is moving to the Automotive Campus in Brabant, to produce their intelligent scanners and align with the R&D activities in the field of smart mobility, which take place at this campus and other locations in Brainport. Their Intelligent Transportation Management System (ITMS) strives to innovate, plan, operate, evaluate, and manage transportation systems by leveraging advanced information and communication technologies.


Also, read our other article: Unleashing the potential of Conversational AI

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