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

Bekir Bartin, Kaan Ozbay, Cem Iyigun

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 ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
Pages659-664
Number of pages6
StatePublished - 2006
EventITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada
Duration: Sep 17 2006Sep 20 2006

Other

OtherITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
CountryCanada
CityToronto, ON
Period9/17/069/20/06

Fingerprint

Travel time
Trajectories
Detectors

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bartin, B., Ozbay, K., & Iyigun, C. (2006). A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation. In Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference (pp. 659-664). [1706817]

A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation. / Bartin, Bekir; Ozbay, Kaan; Iyigun, Cem.

Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. 2006. p. 659-664 1706817.

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

Bartin, B, Ozbay, K & Iyigun, C 2006, A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation. in Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference., 1706817, pp. 659-664, ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference, Toronto, ON, Canada, 9/17/06.
Bartin B, Ozbay K, Iyigun C. A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation. In Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. 2006. p. 659-664. 1706817
Bartin, Bekir ; Ozbay, Kaan ; Iyigun, Cem. / A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation. Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. 2006. pp. 659-664
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