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Title:

Urban Arterial Road Travel Time Variability Modeling Using Burr Regression

Accession Number:

01506677

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Day to day travel time variability measurement is closely related to travel time distribution. Factors affected shape of travel time distribution and its properties were key issues in measuring travel time variability. This paper investigates the role of traffic variables in shaping travel time distribution using Burr regression technique. SCATS degree of saturation along with GPS data have been extracted and used to investigate possible factors associated with travel time variations. The results of Burr regression technique are promising as the values of estimated c are close to the value of the empirical c, and the pdf functions for empirical and estimated data for selected links have similar shape. This technique shows the 10th, 50th and 90th percentiles of lower degree of saturation tend to be lower than those percentiles of the higher degree of saturation yet the day to day travel time variability seems to be lower than high degree of saturation. Given the opportunity provided by the Burr regression technique, it is now possible to estimate the day to day travel time variability at varying levels of the SCATS degree of saturation.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ30(3) Travel Time, Speed and Reliability.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-5654

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Susilawati
Taylor, Michael A P
Somenahalli, Sekhar V C

Pagination:

16p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; I71: Traffic Theory

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-5654

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:59PM