No abstract

No abstract

No abstract

No abstract

Compared to e-bike and bicycle riders, e-scooter riders are more likely to take risky behaviors. More specifically, they are more likely to ride in motorized lanes and ride against traffic.

A multi-agent reinforcement learning for adaptive traffic signal control optimization.• Consider control unit at intersection as agent that can communicate with others through knowledge-sharing protocol.• Proposed algorithm achieves consistent improvements over baselines on both simulated and real-world data.

No abstract

No abstract