Clustering-based methodology for determining optimal roadway configuration of detectors for travel time estimation

Date

2007-01-01

Author

Bartin, Bekir
OZBAY, Kaan
İyigün, Cem

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The problem of finding the optimal roadway segment configuration for road-based surveillance technologies to estimate route travel times accurately is addressed. This problem is inherently a space discretization problem regardless of which travel time estimation function is used. Its ad hoc solution is the equidistant segment configuration, such as every half mile or every 1 mi. It is shown 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.

Subject Keywords

Mechanical Engineering, Civil and Structural Engineering

URI

https://hdl.handle.net/11511/41189

Journal

TRANSPORTATION RESEARCH RECORD

DOI

https://doi.org/10.3141/2000-12

Collections

Department of Industrial Engineering, Article

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Citation Formats

B. Bartin, K. OZBAY, and C. İyigün, “Clustering-based methodology for determining optimal roadway configuration of detectors for travel time estimation,” TRANSPORTATION RESEARCH RECORD, pp. 98–105, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41189.