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Title:

Cellular Automaton Based Model for Simulating Pedestrian-Vehicle Interaction at Unsignalized Mid-block Crosswalk

Accession Number:

01555469

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

There existed complex interactions between pedestrians and vehicles at unsignalized midblock crosswalk. The purpose of this study was to establish a reliable simulation model to replicate these interactions. Using field data at two sites in Nanjing city, the driver yielding behavior and pedestrian gap acceptance process were characterized as binary logit models, which were incorporated into the developed simulation model. The two sites were taken as cases to calibrate and validate the proposed simulation model. The results demonstrated that this model was able to predict the pedestrian-interaction events as well as estimate the driver yielding rate and pedestrian delay. Moreover, the traffic dynamic in the vicinity of the crosswalk was presented with the simulation. The developed simulation model have the potential to serve as a practical tool for safety and performance assessment for both vehicular and pedestrian flow, evaluation of the effectiveness of the policy and engineering treatments for pedestrian crossing.

Supplemental Notes:

This paper was sponsored by TRB committee ANF10 Pedestrians.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-2050

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lu, Lili
Ren, Gang
Wang, Yi
Huang, Zhengfeng
Zhang, Shuichao
Wang, Wei

Pagination:

18p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Geographic Terms:

Nanjing (China)

Subject Areas:

Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; I73: Traffic Control

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-2050

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 12:44PM