Hanoi is currently facing severe congestion, particularly during peak hours, with 26 major congestion points. Studies estimate that the economic losses from traffic congestion in Hanoi range from USD 1–1.2 billion per year, excluding the negative impacts on the environment and the quality of life for residents.

Traffic accidents remain a significant challenge nationwide. In 2023, Vietnam recorded 22,067 accidents, with an average of 38 accidents occurring daily, causing 20 fatalities and 29 injuries each day.

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

Dangerous area prediction

eTraffic will utilize a comprehensive dataset that includes: infrastructure data (road conditions, signage, traffic lights, lighting conditions...); environmental data (weather conditions, humidity...); traffic history 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 highlighted in red, enabling users to adjust their routes or take preventive measures.

Optimizing smart traffic signals

eTraffic will implement optimization in a simulated environment.

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

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

Development directions

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

It also aims to implement V2X technology, allowing 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 routes and effectively avoid congestion. The mobile application and accompanying devices will provide warnings on road conditions and accident risks, enabling drivers to make timely and safer decisions.

The eTraffic project aims to build a comprehensive intelligent traffic system where vehicle and infrastructure information is fully digitized, delivering practical benefits to both citizens and authorities.

ACEBK