Hanoi currently faces severe traffic jams, especially during peak hours, with 26 major congestion points. Studies estimate that economic losses due to traffic congestion in Hanoi vary between $1 and $1.2 billion per year, not counting the negative impacts on the environment and the quality of life of residents.

Road accidents remain a significant challenge nationwide. In 2023, Vietnam recorded 22,067 accidents, with an average of 38 accidents per day, causing 20 deaths and 29 injuries every day.

Faced with the above situation, eTraffic was created with the aim of:

Prediction of dangerous areas

eTraffic will use a comprehensive dataset that includes: infrastructure data (road conditions, signage, traffic lights, lighting conditions, etc.); environmental data (weather conditions, humidity, etc.); historical traffic data (information on accidents and traffic flow at intersections).

Based on this data, the AI ​​system will analyze and predict accident risks in real time to generate a heat map. High-risk areas will be marked in red, allowing users to adjust their routes or take preventative measures.

Optimizing smart traffic lights

eTraffic will implement the optimization in a simulated environment.

First, using historical traffic data, the system will simulate congestion scenarios and train the AI ​​to adjust traffic lights accordingly. The system will extend green lights on high-traffic routes and synchronize signals at consecutive intersections, creating a “green wave” that will allow vehicles to move continuously, reducing stops at red lights.

Once the model is validated by simulation, the system will be deployed in real scenarios and continuously refined using data from IoT devices (cameras, traffic sensors).

Development directions

eTraffic will integrate crash and traffic flow prediction models, providing users with a visual dashboard. This will provide authorities with a comprehensive view of current traffic conditions, supporting traffic monitoring, enhancement and alerting.

It also aims to implement V2X technology, enabling real-time communication between vehicles and traffic infrastructure. Through the IoT system, data on traffic density, speed and conditions will be continuously updated, helping vehicles adjust their routes and effectively avoid traffic jams. The mobile app and accompanying devices will provide alerts about road conditions and accident risks, enabling drivers to make quick and safer decisions.

The eTraffic project aims to build a comprehensive intelligent traffic system in which vehicle and infrastructure information is fully digitalized, providing practical benefits to citizens and authorities.

ACEBK