TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Cellular Automaton Based Simulation of Large Pedestrian Facilities---A Case Study on the Staten Island Ferry Terminals

Accession Number:

01623140

Record Type:

Component

Abstract:

Current metropolises largely depend on a functioning transport infrastructure and the increasing demand can only be satisfied by a well organized mass transit. One example for a crucial mass transit system is New York City’s Staten Island Ferry, connecting the two boroughs of Staten Island and Manhattan with a regular passenger service. Today’s demand already exceeds 2500 passengers for a single cycle during peek hours, and future projections suggest that it will further increase. One way to appraise how the system will cope with future demand is by simulation.This contribution proposes an integrated simulation approach to evaluate the system performance with respect to future demand. The simulation relies on a multiscale modeling approach where the terminal buildings are simulated by a microscopic and highly accurate cellular automata (CA) and the journeys of the ferries themselves are modeled by a mesoscopic queue simulation approach.Based on the simulation results recommendations with respect to the future demand are given.

Supplemental Notes:

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-05137

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Crociani, Luca
Lämmel, Gregor
Park, H Joon
Vizzari, Giuseppe

Pagination:

16p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Terminals and Facilities

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-05137

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:00PM