01371138

Component

https://doi.org/10.3141/2283-05

http://scholar.google.com...hang&publication_year=2012

Despite the considerable progress on estimation of arterial travel time that traffic researchers have made in recent years, many issues remain. This paper presents a stochastic model that integrates the classic queue model and probability theories in order to investigate the estimation of the time-varying arterial travel time and its variability. Such information would be valuable to motorists so that they could best select their daily departure time and routes while contending with recurrent or nonrecurrent congestion. The proposed model, which uses only link detector data, has promising properties on the basis of an extensive evaluation with field data from the Eastern Shore of Maryland and will serve as the core module for ongoing development of a real-time arterial travel time prediction system.

01450929

12-3513

English

pp 44–56

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309223232

Print

Appendices; Figures; Photos; References; Tables

Arterial highways; Probability theory; Queuing theory; Stochastic processes; Traffic congestion; Traffic models; Travel time

Eastern Shore (Maryland and Virginia)

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

TRIS, TRB, ATRI

Feb 8 2012 5:17PM

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