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Author

Jun Liu

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Aug 2026

A consequence-aware driving risk field framework with data-driven calibration for high-risk scenario identification.

A driving risk field modeling framework that incorporates constraints imposed by crash consequences, and provides an instantaneous risk score for a given driving state and supports the identification and ranking of high-severity crash scenarios conditional on crash occurrence is proposed.

Jun Liu, Hui-Qing Jin, Zhong-Xiang Feng et al. · 0 citations
Sep 2026

Integrating connected vehicle hard braking event data for proactive road network safety screening.

Road network screening is traditionally based on analyzing historical crash data to identify road sections (hotspots) that could benefit from safety improvement. However, crash data analysis for road safety improvement is inherently reactive, given that crash risks are estimated in hindsight. This study examines the po...

S. Okafor, Steven Jones, Cailis Bullard et al. · 0 citations
Open access Sep 2026

Exploring Spatial Variations in Factors Influencing Cyclist Injury Severity in Traffic Crashes: A Comparison of Geographically Weighted Regression and Spatial Machine Learning

Results show that older cyclist age, higher vehicle speeds, intersection locations, multi-lane roadways, and dark conditions are associated with higher probabilities of evident or more severe injuries, highlighting the predictive capability of spatial machine learning while retaining interpretable geographic variation,...

Yan-Fang Su, Zihe Zhang, Jun Liu et al. · 0 citations
Jul 2026

Leveraging connected vehicle data for roadway safety evaluation and management: segment- and intersection-level driving volatility analysis

This study proposes a comprehensive framework for driving volatility analysis at both the segment and intersection levels using large-scale connected vehicle trajectory data, revealing a strong and statistically significant relationship between elevated driving volatility and higher crash frequencies.

Xiaoqin Zou, Jiayi Kong, Zihe Zhang et al. · 0 citations

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