DocumentCode :
3572531
Title :
Chinese Driver Behavior Characteristics Research at Intersection based on Intelligent Vehicle-Infrastructure Integration Experimental Platform
Author :
Yao Jiao ; Yang Xiaoguang ; Zhu Tong ; Danno, Mikko ; Miyaji, Masahiro
Author_Institution :
Sch. of Traffic & Transp. Eng., Tongji Univ., Shanghai, China
Volume :
3
fYear :
2009
Firstpage :
523
Lastpage :
528
Abstract :
Driver behavior plays an important role in urban roadway safety, signal control and traffic management, etc... In this paper, an intelligent vehicle-infrastructure integration experimental platform was first established, and with the guidance of the platform architecture, three subsystems: intelligent vehicle subsystem, signal controller subsystem, communication subsystem are designed in detail. Furthermore, with the real-time vehicle GPS experimental data obtained from this platform, we analyzed driver behavior at the intersection. when the traffic signal display is red, green and the time the vehicle trapping in dilemma zone, then all above were summarized, which will have far-reaching significant impact on the research of actively safety and signal control at intersection in Chinese urban area in the future.
Keywords :
Global Positioning System; driver information systems; road safety; traffic engineering computing; Chinese driver behavior; GPS; intelligent vehicle-infrastructure integration experimental platform; intersection; signal control; traffic management; urban roadway safety; Communication system control; Communication system traffic control; Global Positioning System; Intelligent vehicles; Navigation; Road safety; Signal analysis; Signal design; Vehicle driving; Vehicle safety; Driver Behavior Characteristics; Experimental Platform; GPS data; VII (Vehicle Infrastructure Integration);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.592
Filename :
5288028
Link To Document :
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