Traffic accident has become a significant health and development threat with rapid
urbanizations. An accurate urban accident forecasting enables higher-quality police force …

Against the backdrop of intensified global warming, extreme weather events such as dense
fog, low visibility, heavy precipitation, and extreme temperatures have been increased and …

Obstacle detection and target tracking are two major issues for intelligent autonomous
vehicles. This paper proposes a new scheme to achieve target tracking and real-time …

Artificial intelligence plays a significant role in traffic-accident detection. Traffic accidents
involve a cascade of inadvertent events, making traditional detection approaches …

The advent of Connected Autonomous Vehicles can enable the use of Artificial Intelligence
(AI) techniques to support urban traffic controllers in extending their control capabilities with …

Traffic accident prediction on road levels and minute levels plays an important role in
optimizing public safety and improving traffic infrastructure. However, there are still some …

Accurate and robust fine-grained expressway traffic volume simulation is a critical issue in
intelligent transportation systems and real-time traffic-related applications. However, the fine …

Over 100 fatalities and more than 8000 injuries are reported on average every day in the US
caused by motor vehicle accidents. In order to provide drivers a safer travel plan, we present …

Intelligent taxicab scheduling systems on smartphones continue to gain popularity as they
offer prominent conveniences for urban travelling as well as increase potential profits for …

░ ABSTRACT: In recent time, road traffic accidents are increased day by day due to
incremental growth in number of vehicles. Traffic accidents are also the crucial and …