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

Bekir Bartin; Kaan Ozbay

doi:10.1109/ivs.2007.4290128

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	284-289
Number of pages	6
ISBN (Print)	1424410681, 9781424410682
DOIs	https://doi.org/10.1109/ivs.2007.4290128
State	Published - 2007
Event	2007 IEEE Intelligent Vehicles Symposium, IV 2007 - Istanbul, Turkey Duration: Jun 13 2007 → Jun 15 2007

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings

Other

Other	2007 IEEE Intelligent Vehicles Symposium, IV 2007
Country/Territory	Turkey
City	Istanbul
Period	6/13/07 → 6/15/07

ASJC Scopus subject areas

General Engineering

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10.1109/ivs.2007.4290128

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). Article 4290128 (IEEE Intelligent Vehicles Symposium, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ivs.2007.4290128

A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation. / Bartin, Bekir; Ozbay, Kaan.
Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007. Institute of Electrical and Electronics Engineers Inc., 2007. p. 284-289 4290128 (IEEE Intelligent Vehicles Symposium, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 4290128, IEEE Intelligent Vehicles Symposium, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 284-289, 2007 IEEE Intelligent Vehicles Symposium, IV 2007, Istanbul, Turkey, 6/13/07. https://doi.org/10.1109/ivs.2007.4290128

Bartin B, Ozbay K. 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. Institute of Electrical and Electronics Engineers Inc. 2007. p. 284-289. 4290128. (IEEE Intelligent Vehicles Symposium, Proceedings). doi: 10.1109/ivs.2007.4290128

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

Abstract

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