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Title:

Developing and Applying Models for Estimating Arterial Corridor Travel Time Index for Transportation Planning in Small to Medium-Sized Communities

Accession Number:

01340176

Record Type:

Component

Availability:

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/166468.aspx

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Order URL: http://worldcat.org/isbn/9780309167642

Abstract:

This paper describes research with the objective of developing and validating a corridor arterial model to estimate the travel time index (TTI) for mobility analysis. The TTI is the ratio of the travel rate (minutes per mile) during the peak period to the travel rate (minutes per mile) during the off-peak period. The models are most useful for sketch planning purposes in areas where monitoring infrastructure is not in place. Practitioners in small and medium-sized communities, particularly those on the developing fringe of such communities, will benefit from the use of the models for tracking mobility along roadways of interest and prioritizing roadway improvements. This paper describes the development and validation of two models to assist transportation professionals in estimating TTI in the arterial environment during light and moderate congestion conditions. A 2.6-mi major arterial corridor in College Station, Texas, was used to develop the models, and three study corridors in Virginia were used to validate the models. To address limitations of existing models, the models presented in this paper (a) consider driveway density, (b) are corridor-based, (c) are a function of generally available or easy-to-obtain independent variables, (d) are calibrated and validated with extensive field data, and (e) explain a relatively high degree of variability. The use of TTI also makes the models more transferable. For sketch-planning applications, the models are a function of relatively available or easy-to-estimate data including traffic volume, driveway density, signal green time relative to the cycle time, and signal coordination conditions.

Monograph Title:

Planning 2011, Volume 1

Monograph Accession #:

01359893

Report/Paper Numbers:

11-0465

Language:

English

Authors:

Eisele, William L
Zhang, Yunlong
Park, Eun Sug
Zhang, Yanru
Stensrud, Rachael

Pagination:

pp 81-90

Publication Date:

2011

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2244
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309167642

Media Type:

Print

Features:

Figures (2) ; References (30) ; Tables (4)

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Feb 17 2011 5:27PM

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