With the advancement of automated vehicles (AVs), ensuring safe interaction between pedestrians and AVs become a critical challenge. External human–machine interfaces (eHMIs) have emerged as a solution for communicating vehicle intentions to pedestrians. In recent years, virtual reality (VR) has been increasingly used...
Tian-Ying Guo, Peng Chen, Andrew Morris et al.· Proceedings of the 18th Inte...· 0 citations
In pedestrian-vehicle crossing conflicts, automated vehicles (AVs) should avoid collisions and follow pedestrian-related traffic rules and social expectations. However, many existing decision-making models mainly optimize safety or efficiency. The behavioral effects of specific pedestrian-related rules remain insuffici...
Chenming Fu, Xuesong Wang, Ruolin Shi et al.· Accident Analysis and Preven...· 0 citations
The proposed framework provides a systematic method for converting qualitative traffic rules into measurable and executable requirements for ADS in freeway lane-changing scenarios and achieves an overall risk-classification accuracy of 94% during execution.
Jingru Zang, Xue-Song Wang, Ruo-Lin Shi et al.· Accident Analysis and Preven...· 0 citations
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