Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jiao, Yiru"'
This study proposes a unified theory and statistical learning approach for traffic conflict detection, addressing the long-existing call for a consistent and comprehensive methodology to evaluate the collision risk emerging in road user interactions.
Externí odkaz:
http://arxiv.org/abs/2407.10959
As the deployment of autonomous vehicles (AVs) in mixed traffic flow becomes increasingly prevalent, ensuring safe and smooth interactions between AVs and human agents is of critical importance. How road users resolve conflicts at intersections has s
Externí odkaz:
http://arxiv.org/abs/2308.13839
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow. Investigating how human drivers react differently when following autonomous vs. human-driven vehicles (HV) is thus critic
Externí odkaz:
http://arxiv.org/abs/2305.18921
Publikováno v:
In Accident Analysis and Prevention August 2024 203
Publikováno v:
In Transportation Research Part C July 2024 164
Publikováno v:
In Transportation Research Part C October 2024 167
Publikováno v:
In Transportation Research Part C October 2023 155
Autor:
Jiao, Yiru, Li, Yongli
Publikováno v:
In Information Fusion January 2021 65:128-146
Autor:
Jiao, Yiru, Qu, Qing-Xing
Publikováno v:
In Computers in Industry June 2019 108:1-11