### 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 |

Subtitle of host publication | 2006 IEEE Intelligent Transportation Systems Conference |

Pages | 659-664 |

Number of pages | 6 |

State | Published - Dec 1 2006 |

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

### Publication series

Name | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC |
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### 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] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).