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Title:

Pedestrian Modeling Using Cellular Automata Approach for Urban Street Facility: A Case Study in Vicinity of Grand Central Terminal, New York City

Accession Number:

01590547

Record Type:

Component

Abstract:

Current pedestrian analysis based on Highway Capacity Manual (HCM) 2010 has a limitation to model pedestrian flow dynamics and interaction among sidewalks (the uninterrupted flow), corners and crosswalks (the interrupted flow) in vicinity of high pedestrian trip generators because of its deterministic characteristics. Therefore, this study introduces a new pedestrian modeling approach using cellular automata method for urban street segments with high pedestrian trip generators such as a stations, terminals, stadiums, and skyscraper buildings. This study is purposed to evaluate pedestrian dynamics at urban street segments and facilities with various pedestrian trip generators such as subway station entrance and exit and skyscraper office components in vicinity of Grand Central Terminal using cellular automata pedestrian modeling. The Grand Central Terminal has over 500,000 daily visitors and draws hourly volumes of approximately 7,500 pedestrians at a corner of 42nd Street and Vanderbilt Avenue. Pedestrian modeling approach is able to present dynamic pedestrian flow movements Terminal at urban street segments and facility along 42nd Street between 5th Avenue and Lexington Avenue with various measures of effectiveness (MOEs) such as speeds, travel time and delays, and density. The pedestrian modeling is a very useful approach to evaluate pedestrian operations at urban street segments with heavy pedestrian trip generators as an alternative analysis tool of the HCM pedestrian analysis methodology

Supplemental Notes:

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics. Alternate title: Pedestrian Modeling Using Cellular Automata Simulation for Urban Street Segments with High Pedestrian Trip Generators

Monograph Accession #:

01584066

Report/Paper Numbers:

16-0698

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lämmel, Gregor
Park, H Joon
Zhang, Jun

Pagination:

16p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

New York (New York)

Subject Areas:

Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-0698

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 4:27PM