The Study of Running Behavior of Pedestrian at Urban Signalized Intersection

DOI

10.2991/icmeit-16.2016.1How to use a DOI?

Keywords

signalized intersection, running pedestrian, relevance, regression analysis, survival analysis.

Abstract

Pedestrian is the main traffic participants in the signalized intersection. And its running behavior, on the one hand, will increase hidden danger because of reducing driver's reaction time; on the other hand, it will decrease the time of exposure to the road and reduce the security risk. The study found that the occurrence of running behavior has very obvious regularity with the time of the signal lights began. Through the video observation, we study on 268 available samples that start running at the green and yellow light with correlation analysis, survival analysis and multivariate linear regression model. It was found that the running behavior occurred regularly with the time of the signal lights and finally got the regression model. Among pedestrian-vehicle conflict, most of the sample started running at the beginning of the green light time occurred in the case of the vehicles not yield to the pedestrian. The sample waiting longer time before the start of running always start at a long distance to the end of green light. These findings can be applied to the design of intelligent transportation systems and can also provide data and theoretical support for the further study.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhiyin Li
AU  - Ziyang Wang
AU  - Boran Wan
AU  - Mingtao Wu
AU  - Haiyue Zhao
PY  - 2016/08
DA  - 2016/08
TI  - The Study of Running Behavior of Pedestrian at Urban Signalized Intersection
BT  - Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology
PB  - Atlantis Press
SP  - 1
EP  - 8
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeit-16.2016.1
DO  - 10.2991/icmeit-16.2016.1
ID  - Li2016/08
ER  -