This article reviews and advances existing literature concerning com-puter vision and route
planning algorithms, sensing and computing technologies, and vehicle and pedestrian …

Enhancing traffic safety is one of the fundamental objectives of Intelligent Transport Systems
(ITS), and it aligns closely with the principles of sustainable transport. Due to specific …

This paper introduces a test scenario specification procedure using crash sequence
analysis and Bayesian network modeling. Intersection two-vehicle crash data was obtained …

To effectively fight against traffic accidents, it is of great importance to analyse and
understand the conditions that are linked with accidents. Such an analysis can serve as the …

Self evolution refers to the ability of a system to evolve autonomously towards a better
performance, which is a potential trend for autonomous driving systems based on self …

A safe introduction of automated driving systems on urban roads requires a thorough
understanding of the traffic conflicts and accidents. This understanding is paramount to …

Self-evaluation and monitoring are critical components in autonomous driving applications,
especially for safety purposes, and yet there is no systematic framework to estimate the …

Innovative testing and validation methods are prerequisites concerning Connected,
Cooperative, and Automated Mobility (CCAM), as the high number of cooperating …

For Automated Driving Systems (ADSs), vehicle safety and functional correctness are
assessed against scenarios the ADS would encounter-within or outside its operational …

In the Chinese traffic system, a crucial role is played by two-wheelers (TWs), yet significant
road safety challenges are posed by them, with many TW drivers being killed or injured in …