Longitudinal driving behavior before, during, and after a left-turn movement at signalized intersections: a naturalistic driving study in China
A human-like driving model can help to improve the acceptance and safety of automated
driving systems (ADS). To improve the performance of human-like driving and interaction …
driving systems (ADS). To improve the performance of human-like driving and interaction …
Driving Intention Recognition and Speed Prediction at Complex Urban Intersections Considering Traffic Environment
T Yuan, X Zhao, R Liu, Q Yu, X Zhu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Reliable motion prediction of surrounding vehicles is the key to safe and efficient driving of
autonomous vehicles, especially at urban intersections with complex traffic environments …
autonomous vehicles, especially at urban intersections with complex traffic environments …
Research on delay model of right-turning vehicle at intersections considering probability of yield-to-pedestrian: a case study of an intersection in Guangzhou
Y Ma, Z Liang, Y Xie - Eighth International Conference on …, 2024 - spiedigitallibrary.org
At present, the study on the interaction between motor vehicles and pedestrians at urban
signalized intersections and the delay of right-turning vehicles are still to be improved …
signalized intersections and the delay of right-turning vehicles are still to be improved …