### 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 the 2007 IEEE Intelligent Vehicles Symposium, IV 2007 |

Pages | 284-289 |

Number of pages | 6 |

State | Published - 2007 |

Event | 2007 IEEE Intelligent Vehicles Symposium, IV 2007 - Istanbul, Turkey Duration: Jun 13 2007 → Jun 15 2007 |

### Other

Other | 2007 IEEE Intelligent Vehicles Symposium, IV 2007 |
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Country | Turkey |

City | Istanbul |

Period | 6/13/07 → 6/15/07 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007*(pp. 284-289). [4290128]

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

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

*Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007.*, 4290128, pp. 284-289, 2007 IEEE Intelligent Vehicles Symposium, IV 2007, Istanbul, Turkey, 6/13/07.

}

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

PY - 2007

Y1 - 2007

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=47849083507&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=47849083507&partnerID=8YFLogxK

M3 - Conference contribution

SN - 1424410681

SN - 9781424410682

SP - 284

EP - 289

BT - Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007

ER -