Lane departure on combined curves: driver heterogeneity, centrifugal risk, and crash prevention
Xiaomeng Wang, Yujie Zhang, Yi Li, Xiebowen Yi, Xuesong Wang, Guangjie Hao
TL;DR
This study explores how driver characteristics affect lane departure behavior on combined curves and identifies factors that increase crash risk.
Contribution
A new method using driving simulator data and MARS modeling to analyze lane departure behavior and propose thresholds for crash prevention.
Findings
IDCF lane departures are more severe than ADCF departures in terms of distance and duration.
Driver experience and road geometry jointly influence lane departure severity.
Thresholds for lane departure duration and speed were proposed to aid crash prevention systems.
Abstract
Lane departure crashes were more likely to result in severe traffic crashes. This objective of this study was to explore the effects of drivers’ characteristics on the asymmetric lane departure behaviour in combined curves. A high degree of freedom driving simulator was used to collected vehicle operation data in a mountainous freeway. Totally 948 lane departure events were collected. The lane departure behaviour was classified into two categories based on centrifugal force direction: In the Direction of Centrifugal Force (IDCF) and Against the Direction of Centrifugal Force (ADCF). The average speed, maximum lateral departure and departure duration distance were analyzed. A Multivariate Adaptive Regression Splines (MARS) model was used to analyze nonlinear relationships between driver characteristics and maximum lane departure. It found that: (1) Sag-curves and crest-curves had higher…
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Taxonomy
TopicsTraffic and Road Safety · Autonomous Vehicle Technology and Safety · Traffic control and management