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Title:

Multimodal Intelligent Traffic Signal System Simulation Model Development and Assessment

Accession Number:

01590558

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309441315

Abstract:

The study demonstrated the multimodal intelligent traffic signal system (MMITSS) simulation tool to assess the potential effects of a broader MMITSS deployment that would ultimately facilitate the site-independent analysis of MMITSS applications. The study also identified the most beneficial operational conditions for each MMITSS operational scenario by considering a combination of simulation variables and traffic demand levels. The MMITSS simulation platform consists of the Vissim microscopic traffic simulation software, the basic safety message distributor program, an Econolite ASC/3 traffic controller emulator that runs on a Windows platform, and a roadside equipment module that runs on a Linux platform. The study demonstrated that the intelligent traffic signal system reduced vehicle delay by up to 35% and increased average traffic stream speed by up to 27%. In addition, transit signal priority (TSP) reduced travel time for both transit and passenger vehicles on the corridor by up to 29% and 28%, respectively. However, TSP can increase systemwide delay because it reduces green times on the side streets. Freight signal priority (FSP) can be used effectively along major freight routes. Although FSP significantly reduced truck delay, networkwide delay was increased substantially, especially in the scenario with a large percentage of trucks in the traffic composition. The TSP and FSP bundle simulation study demonstrated that the bundle operation successfully executed a hierarchical level of priority and provided higher priority for trucks. MMITSS applications effectively improve vehicle travel time and delay for equipped and potentially nonequipped vehicles, depending on the scenarios considered. Typically, systemwide disbenefits are observed when TSP, FSP, or both are applied.

Monograph Accession #:

01618024

Report/Paper Numbers:

16-1141

Language:

English

Authors:

Ahn, Kyoungho
Rakha, Hesham A

ORCID 0000-0002-5845-2929

Kang, Kyungwon
Vadakpat, Govindarajan

ORCID 0000-0001-9060-3216

Pagination:

pp 92–102

Publication Date:

2016

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2558
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441315

Media Type:

Print

Features:

Figures (7) ; Maps; Photos; References (11) ; Tables (2)

Uncontrolled Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Safety and Human Factors; I72: Traffic and Transport Planning; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 4:31PM

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