A travel time prediction model for freeway with considering interchange disturbances

Wei Hsun Lee, Chia Hao Hu, Shou-Ren Hu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The traffic flow near around the interchange is disturbed due to frequent lane change behaviors, and the average moving speed in the range of intersections are 11% slower than the sections between intersections. In this work, a freeway travel time prediction method with considering the interchange disturbance is proposed, and two data sources including VD and GVP data are collected and analyzed to verify the proposed model. The experiment result shows that the models with considering the interchange disturbance has the better accuracy as well as stability than the traditional travel time prediction models. The proposed model enhances the accuracy from 73.08% to 82.31% in VD case, and from 89.25% to 92.31% in GVP case.

Original languageEnglish
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2174-2179
Number of pages6
ISBN (Electronic)9781479960781
DOIs
StatePublished - 14 Nov 2014
Event2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Duration: 8 Oct 201411 Oct 2014

Publication series

Name2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Conference

Conference2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
CountryChina
CityQingdao
Period8/10/1411/10/14

Keywords

  • interchange disturbance
  • travel time prediction

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