@inproceedings{2ac0fd305619462f9be84dffaafc4f4d,
title = "A research on traffic conflicts between vehicle and pedestrian on urban typical road section",
abstract = "In a typical road traffic environment, drivers may make wrong judgments and predictions to the pedestrians ahead because of a variety of reasons. Real pedestrian-traffic conflict data are collected and analyzed. This research videotaped conflicts between pedestrians and vehicles in three non-signal pedestrian crosswalks in Beijing. A conflict safety distance model of typical road sections is proposed by identifying the process of the changing of vehicle{\textquoteright}s speed and pedestrian{\textquoteright}s speed. Reasonable suggestions for the development of the vehicle driving assistant systems are presented.",
keywords = "Pedestrian crossing behavior characteristics, Safe distance model, Traffic conflict, Vehicle safety driving characteristics",
author = "Qian Cheng and Leyi Wang and Chenggang Li and Xiaobei Jiang and Wuhong Wang",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2018.; 7th International Conference on Green Intelligent Transportation System and Safety, 2016 ; Conference date: 01-07-2016 Through 04-07-2016",
year = "2018",
doi = "10.1007/978-981-10-3551-7_14",
language = "English",
isbn = "9789811035500",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "187--195",
editor = "Wuhong Wang and Xiaobei Jiang and Klaus Bengler and Xiaobei Jiang",
booktitle = "Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety",
address = "Germany",
}