DocumentCode :
1867288
Title :
Road user´s behavior analyses of urban intersections
Author :
Yuelong, Su ; Danya, Yao ; Yi, Zhang ; Zheng, Wei ; Cheng Sihan
Author_Institution :
Tsinghua Univ., Beijing
fYear :
2007
fDate :
Sept. 30 2007-Oct. 3 2007
Firstpage :
784
Lastpage :
789
Abstract :
This paper mainly studies about the road user´s behavior when crossing urban intersection, including the confliction patterns among motors, non-motors and pedestrians, the influence on motor vehicles of non-motors´ and pedestrians´ violating behavior, and departure headways with and without disturbance on the urban signalized intersection. Most researchers pay much attention to the work of planning method or control strategy, and bring forward various simulating models, but no deeper researches about confliction among motor vehicles, non-motor vehicles and pedestrians are presented. Distinguished from traditional simulation models, this paper seeks to statistic models of road user´s confliction behavior based on traffic data collected from urban intersections, and validate these models using different traffic data. It is shown that these established statistic models can apply to mixed traffic flow condition appropriately, which means these models can be used in traffic engineering, micro traffic simulation and traffic signal control strategy.
Keywords :
behavioural sciences computing; road traffic; traffic information systems; behavior analyses; mixed traffic flow condition; motor vehicles; pedestrians; planning method; road user; traffic data; urban intersections; violating behavior; Automotive engineering; Bicycles; Intelligent transportation systems; Micromotors; Road transportation; Road vehicles; Signal analysis; Statistics; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1395-9
Electronic_ISBN :
978-1-4244-1396-6
Type :
conf
DOI :
10.1109/ITSC.2007.4357650
Filename :
4357650
Link To Document :
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