This paper presents the system development of a co-simulation platform aimed at studying
driving behavior with multiple participants. The objective of this study was to create an …

This study aims to use machine learning methods to examine the causative factors of
significant crashes, focusing on accident type and driver's age. In this study, a wide-ranging …

This paper is concerned with the distributed model predictive control (DMPC) for
heterogeneous connected vehicle platoon (CVP) under denial-of-service (DoS) attacks …

The advent of autonomous vehicles (AVs) has complicated traffic flow and raised safety
concerns, there is a pressing need to enhance traffic efficiency alongside ensuring robust …

Accurate construction workers' activity detection distinguishes workers' activity efficiency and
identifies activities with high risks, which enhances construction productivity and safety …

Connected and autonomous vehicles (CAVs) afford the possibility of improving the
transportation system by reducing traffic congestion and accidents. They also can increase …

Smart intersections have the potential to improve road safety with sensing, communication,
and edge computing technologies. Perception sensors installed at a smart intersection can …

Car accidents have significant repercussions for all parties involved, often leading to
challenges in determining accountability. In the aftermath of such incidents, collaboration …

This study undertakes the analysis of collision scenario using a car model with a dummy and
airbags, in the event of a direct collision with a hard wall, one of the necessary studies of …

Abstract The Mobile Progressive Deformable Barrier (MPDB) is a standardized automotive
crash scenario that comprehensively evaluates the safety of battery-electric vehicles (BEVs) …