A spatiotemporal traffic bottlenecks mining model for discovering bottlenecks in urban network

Hsiao Han Chen, Wei Hsun Lee, Shian Shyong Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One purpose of ATMS is discovering the bottlenecks and taking some actions to improve global performance of traffic network. However, traffic bottlenecks vary with spatial and temporal environment, which make them not easy to define and discover. A spatiotemporal traffic bottlenecks mining model is proposed in this paper, which utilizes the raw data in location based services and thus has the cost and coverage advantages comparing to the traditional methods. This model is able to discover the STB as well as finds out the time sequence association rule between the congestion areas, which provides useful decision information for ATMS administrators.

Original languageEnglish
Title of host publication14th World Congress on Intelligent Transport Systems, ITS 2007
Pages4968-4979
Number of pages12
Publication statusPublished - 2007 Dec 1
Event14th World Congress on Intelligent Transport Systems, ITS 2007 - Beijing, China
Duration: 2007 Oct 92007 Oct 13

Publication series

Name14th World Congress on Intelligent Transport Systems, ITS 2007
Volume7

Other

Other14th World Congress on Intelligent Transport Systems, ITS 2007
Country/TerritoryChina
CityBeijing
Period07-10-0907-10-13

All Science Journal Classification (ASJC) codes

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

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