Abstract: In recent years, rapid urbanization has led to increased traffic congestion, rendering traditional traffic light control methods ineffective. Deep Reinforcement Learning (DRL) has emerged as ...
The driver, who is known to her followers as Tea Tyme, was charged with two felonies in connection with the crash last month, ...
Social media stardom turned tragic last week after an internet-famous TikTok personality allegedly plowed into a pedestrian ...
Roads along the airport corridor witnessed heavy crowds as party supporters gathered to welcome Tarique Rahman, leading to traffic restrictions and the suspension of public transport in several areas.
A woman died Dec. 21 after crashing her car into a pickup stopped at an Old Fort Parkway traffic light, Murfreesboro police ...
Traffic signal timing technology from the University of Michigan could cut down on congestion, To operate, the system uses vehicle Global Positioning System data. Traffic signal timing technology that ...
Breaking a traffic law is a crime in the U.S. Yet millions of people are caught annually for some form of traffic offense. Unfortunately, most offenses end up costing someone’s life, including ...
Abstract: The non-adaptive management of traffic lights has proven inefficient for a number of drawbacks. They mainly impinge on CO2 emissions, fuel consumption, traffic waiting time, and heavy ...