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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Yixin Chen,Yulong He,Xiaoduan Sun.A Model for Capacity Considering the Interference by Pedestrian Traffic at Signal Intersections[J].Journal of Harbin Institute Of Technology(New Series),2016,23(1):82-89.DOI:10.11916/j.issn.1005-9113.2016.01.012.
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A Model for Capacity Considering the Interference by Pedestrian Traffic at Signal Intersections
Author NameAffiliation
Yixin Chen College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China 
Yulong He College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China 
Xiaoduan Sun College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China 
Abstract:
The capacity is impacted badly by pedestrians’ violation behavior at signal intersections. In order to quantify the impact, the time-headway and the vehicular speed from start-up to reach the stable saturation flow with and without pedestrian traffic are used as the direct measurements. Using the statistical analysis, the time-headway of saturation flow is mainly affected by the position of pedestrians and the degree of pedestrians’ influence is classified into four levels. Then the speed-time profile for the vehicular acceleration at each level is fitted by Curve Fitting Software. Based on the effect to the time-headway and acceleration time, the model of capacity influenced by pedestrians is established and the influence is quantified, which enriches the fundamental theory of traffic engineering. The result shows that the vehicular capacity can be decreased by 14% at the worst case (level I ). The conclusions obtained in this paper are valuable for better management of the signal intersection.
Key words:  urban traffic  capacity  impact of pedestrians  significant analysis
DOI：10.11916/j.issn.1005-9113.2016.01.012
Clc Number:U491.2
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