This paper presents a probabilistic decision-making framework for rear-end collision
avoidance systems, focusing on modeling the impact of major collision-causing factors on …

In order to increase the probability of delivering warning messages to all vehicles (or nodes)
in the Zone Of Relevance (ZOR), Vehicular Ad Hoc Networks (VANETs) adopt the periodical …

One of the major challenges in Vehicular Ad hoc Networks (VANETs) is to find a stable and
robust Cooperative Collision Avoidance (CCA) scheme to address the rising death toll …

As the complex driving scenarios bring about an opportunity for application of deep learning
in safe driving, artificial intelligence based on deep learning has become a heatedly …

Deciding an optimal location of a transportation facility and automotive service enterprise is
an interesting and important issue in the area of facility location allocation (FLA). In practice …

Traffic safety is a key aspect in new-generation intelligent transportation systems. Among
other areas, an active field of research is cooperative collision avoidance, where vehicles …

Realizing the ultra-low latency and high-accuracy solutions for rear-end collision is still
challenging, especially under the condition in which many uncertainties exist. This paper …

This paper proposes a lane-level beacon-less, infrastructure-less, and GPS-less cooperative
collision avoidance (BIG-CCA) framework for preventing rear-end collisions. The BIG-CCA …

This paper aims to develop a vision-based driver assistance system for scene awareness
using video frames obtained from a dashboard camera. A saliency image map is devised …

Facility location allocation (FLA) is considered as the problem of finding optimally a facility's
location with the maximum customer satisfaction, the maximum profit of investors of the …