ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we
approach intelligent traffic safety systems. This paper begins with a brief introduction about …

With the rapid breakthroughs in artificial intelligence technology and intelligent
manufacturing technology, automotive intelligence has become a research hotspot, and …

The utilization of traffic conflict indicators is crucial for assessing traffic safety, especially
when the crash data is unavailable. To identify traffic conflicts based on traffic flow …

Despite numerous theoretical and empirical studies exploring the spatial needs of road
users, a significant gap remains in validating these findings with extensive real-world data …

This paper presents a generic analytical framework tailored for surrogate safety measures
(SSMs) that is versatile across various highway geometries, capable of encompassing …

Extreme value theory (EVT) models have been frequently utilized to estimate crash risk from
traffic conflicts with the peak over threshold commonly used to identify conflict extremes …

Safety decisions for vehicles at an intersection rely on real-time, objective and continuous
assessment of risks in vehicle–pedestrian interactions. Existing surrogate safety models …

Given the highly intricate terrain and environmental conditions in the mountainous region,
the existing measurement methods fail to ensure high precision and real-time long-distance …

Urban inter-tunnel weaving (UIW) sections are characterized by short lengths and frequent
lane-changing behaviors in the area, commonly used for fast through traffic. These features …

Predicting conflict risk from a microscopic perspective is crucial for understanding traffic
dynamics and preventing crashes. However, previous studies often missed this perspective …