A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation

Bekir Bartin, Kaan Ozbay

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

Abstract

This paper deals with the problem of finding the optimal roadway segment configuration for road-based surveillance technologies to estimate route travel times accurately. This problem is inherently a space discretization problem regardless of which travel time estimation function is used. The ad-hoc solution to this problem is the equidistant segment configuration, such as every half-mile, every one-mile. It is shown in this paper that the space discretization problem can be expressed as the common clustering problem. The novelty of the proposed approach is the use of preliminary vehicle trajectory data to obtain statistically significant traffic regime at the study route. Clustering of sample space-time trajectory data is proposed as a viable methodology for solving the optimal roadway segment configuration problem.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007
Pages284-289
Number of pages6
StatePublished - Dec 1 2007
Event2007 IEEE Intelligent Vehicles Symposium, IV 2007 - Istanbul, Turkey
Duration: Jun 13 2007Jun 15 2007

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Other

Other2007 IEEE Intelligent Vehicles Symposium, IV 2007
CountryTurkey
CityIstanbul
Period6/13/076/15/07

ASJC Scopus subject areas

  • Modeling and Simulation
  • Automotive Engineering
  • Computer Science Applications

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  • Cite this

    Bartin, B., & Ozbay, K. (2007). A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation. In Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007 (pp. 284-289). [4290128] (IEEE Intelligent Vehicles Symposium, Proceedings).