### 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 - Dec 1 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 |
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### Other

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

City | Istanbul |

Period | 6/13/07 → 6/15/07 |

### ASJC Scopus subject areas

- Modeling and Simulation
- Automotive Engineering
- Computer Science Applications

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## Cite this

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