Travel time prediction models with reliabilities for Urban Arterial Streets

Tsai Yun Liao, Ta-Yin Hu, Wei Ming Ho

Research output: Contribution to conferencePaper

Abstract

Predictions of travel time and reliabilities for urban arterials are important issues in advanced traveller information systems (ATIS). The travel time reliabilities are required to ensure smooth travel of drivers and avoid serious delays. In this research, five travel time prediction models, including Bureau of Public roads function (BPR), conical volume-delay (CVD) function, Webster-delay model, Skabardonis-Dowling (SD) model, and traffic flow model, are tested and a model-based travel time reliability model is propose to estimate travel time reliabilities. The empirical and historical data, including travel time and signal timing data from survey and historical flow and speed data from vehicle detector (VD), are used to predict and analyze travel time.

Original languageEnglish
Publication statusPublished - 2012 Jan 1
Event19th Intelligent Transport Systems World Congress, ITS 2012 - Vienna, Austria
Duration: 2012 Oct 222012 Oct 26

Other

Other19th Intelligent Transport Systems World Congress, ITS 2012
CountryAustria
CityVienna
Period12-10-2212-10-26

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation

Cite this

Liao, T. Y., Hu, T-Y., & Ho, W. M. (2012). Travel time prediction models with reliabilities for Urban Arterial Streets. Paper presented at 19th Intelligent Transport Systems World Congress, ITS 2012, Vienna, Austria.