### 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) |
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Title of host publication | Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference |

Pages | 659-664 |

Number of pages | 6 |

State | Published - 2006 |

Event | ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada Duration: Sep 17 2006 → Sep 20 2006 |

### Other

Other | ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference |
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Country | Canada |

City | Toronto, ON |

Period | 9/17/06 → 9/20/06 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*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.

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

*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.

}

TY - GEN

T1 - A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation

AU - Bartin, Bekir

AU - Ozbay, Kaan

AU - Iyigun, Cem

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=41849105764&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=41849105764&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:41849105764

SN - 1424400945

SN - 9781424400942

SP - 659

EP - 664

BT - Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference

ER -