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Title: Model and Channelization for the High Volume of Bidirectional Pedestrian Flow at Signalized Crosswalks
Accession Number: 01623074
Record Type: Component
Abstract: In this paper, cellular automata modeling techniques and the questionnaire survey based on characteristics of walking tendentiousness are used to simulate pedestrian crossing behaviors and psychological activities. The forward, right, outstripping and influential coefficients are outlined to quantize the intention of walking direction and compute transition probabilities. A conception of “opposite conflict state” is introduced to distinguish types of the walking tendentiousness of pedestrians on the move. The model analyzes the influence of right and conformity behaviors with respect to the crossing time, mean crossing speed and pedestrian delay respectively. In the light of related research, a new channelization model for the high density of bidirectional pedestrian flow at signalized crosswalks is proposed via comparative tests. The research method of channelization can be widely applied to various aspects of traffic flows even more.
Supplemental Notes: This paper was sponsored by TRB committee ANF10 Standing Committee on Pedestrians.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-02060
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Zhang, TaoRen, GangYu, ZhigangYang, YangPagination: 19p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Photos; References; Tables
TRT Terms: Uncontrolled Terms: Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-02060
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:44AM
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