TRB Pubsindex
Text Size:

Title:

Method for Scenario Selection and Probability Adjustment for Reliability and Active Traffic Management Analysis in a Highway Capacity Manual Context

Accession Number:

01519021

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/172274.aspx

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309295550

Abstract:

This paper presents an optimization-based probability adjustment approach that enables an analyst to minimize the error and bias in estimating freeway reliability performance measures by using a small sample of reliability scenarios. The freeway facilities travel time reliability methodology proposed for the Highway Capacity Manual 2010 can produce up to 24,000 scenarios to be evaluated for estimating the travel time distribution. The methodology uses a deterministic scenario generation approach to account for any possible operational condition of freeway facilities. In addition to processing time considerations, the large number of scenarios poses analytical challenges because (a) a detailed assessment and scrutiny of individual scenarios cannot be performed and (b) the customized selection of active traffic management is infeasible. The proposed method allows the analyst to adjust the selected scenario probabilities to estimate the real-world freeway performance measure better with a manual biased sample. The biased sampling probability adjustment method is applied to two real-world case study examples. These illustrate that the population travel time distribution can be approximated adequately through the probability adjusted sample. Findings from this research have implications for proposed reliability and active traffic management methodologies in the Highway Capacity Manual 2010. The number of scenarios can be greatly reduced from several thousand to less than 100 while maintaining the shape of the reliability distribution and key performance measures of the scenario population.

Monograph Accession #:

01557687

Report/Paper Numbers:

14-5325

Language:

English

Authors:

Aghdashi, Seyedbehzad
Schroeder, Bastian J
Rouphail, Nagui M

Pagination:

pp 58–65

Publication Date:

2014

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2461
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295550

Media Type:

Print

Features:

Figures (2) ; References (20) ; Tables (6)

Identifier Terms:

Uncontrolled Terms:

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; I70: Traffic and Transport

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:52PM

More Articles from this Serial Issue: