IEEE

Deep Reinforcement Learning-Driven Traffic Signal Control Strategy for Emergency Vehicle Scenarios in Fog Computing Framework

Abstract: With the increasingly complex urban transportation system and the continuous growth of vehicle ownership, it is impossible to effectively guarantee the priority of police cars, ambulances, ...
IEEE

Interpretable Multi-Agent Reinforcement Learning for Traffic Signal Control: Influence Mechanism and Piecewise Linear Approximation

Abstract: Traffic signal control plays a crucial role in intelligent transportation systems, with cooperative control being challenging to implement but essential for its effectiveness. Many methods ...

Essex County secures $41.9M for improvements at 36 high-crash intersections

Under the program, Essex County is advancing two projects, one focused on 17 intersections north of I-280 and a second ...
Community Impact

New traffic sensors roll out across Pearland intersections

Pearland is rapidly modernizing the way it regulates traffic flow with a new generation of digital traffic sensors called NoTraffic—an artificial intelligence mobility platform that provides real time ...