Spiking neural networks (SNNs) serve as a promising computational framework for
integrating insights from the brain into artificial intelligence (AI). Existing software …

As a cutting‐edge strategy to reduce travel delay and fuel consumption, platooning of
connected and autonomous vehicles (CAVs) at signal‐free intersections has become …

Traffic accident is one of the rarest causes of death in the world. In order to reduce the
frequency of traffic accidents, it is of great significance to predict traffic accidents. Due to the …

Law enforcement agencies and police departments face challenges in analyzing and
preventing accidents and crimes. This research presents a comprehensive machine …

Due to the problem of poor data integrity in the estimation of economic loss in road traffic
accidents, the estimation accuracy is not high. In order to effectively improve the …

Tunnels are an essential component of urban transportation. Compared to open roads,
accidents inside tunnels tend to have longer durations, and the road closures resulting from …

Trafik kaza süresi, bir kazanın meydana gelmesi ile kaza yerinin başlangıç durumuna
dönmesi arasındaki zaman farkı olarak ifade edilmektedir. Bu araştırmanın birincil amacı …