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Title:

Incorporation of Travel Time Reliability in Regional Travel Model

Accession Number:

01663002

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

The paper presents a practical method for incorporation of travel time reliability in a regional travel model. The discussion includes five consecutive steps. First it describes how the vehicle speed dataset for the metropolitan area of Phoenix, AZ, termed HERE, was processed and link-level volume–delay–reliability functions were estimated, and then how link-level reliability measures can be applied for network path building. The third step describes how trip origin–destination (OD) reliability measures can be constructed out of the link-level reliability measures. The fourth step involves implementation of the link-level and OD-level reliability measures in highway assignment, mode choice, and other travel models. The fifth step includes model validation and sensitivity tests. The paper addresses several long-standing issues associated with incorporation of travel time reliability in operational travel models in practice. These issues include construction of OD reliability measures with the recognition that the core link-level reliability measures such as standard deviation or variance are not additive in a general case, accounting for a partial correlation between travel time distributions for different links, and incorporation of travel time reliability in a standard static assignment.

Report/Paper Numbers:

18-03028

Language:

English

Authors:

Gupta, Surabhi
Vovsha, Peter
Dutta, Arup
Livshits, Vladimir
Zhang, Wang
Zhu, Haidong

Pagination:

pp 46-57

Publication Date:

2018-12

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2672
Issue Number: 49
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Print

Features:

Figures (2) ; References (15) ; Tables (3)

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:43AM

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