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Spatio-temporal partitioning of transportation network using travel time data
Résumé : Nowadays, the deployment of sensing technology permits to collect massive 1 spatio-temporal data in urban cities. These data can provide comprehensive traffic state conditions for an urban network and for a particular day. However, they are often too numerous and too detailed to be of direct use, particularly for applications like delivery tour planning, trip advisors and dynamic route guidance. A rough estimation of travel times and their variability may be sufficient if the information is available at the full city scale. The concept of spatio-temporal speed cluster map is a promising avenue for these applications.
https://hal.archives-ouvertes.fr/hal-01804570
Contributor : Ifsttar Cadic Connect in order to contact the contributor
Submitted on : Thursday, May 31, 2018 - 6:10:13 PM
Last modification on : Saturday, January 15, 2022 - 3:51:39 AM
Long-term archiving on: : Saturday, September 1, 2018 - 3:06:03 PM
Contributor : Ifsttar Cadic Connect in order to contact the contributor
Submitted on : Thursday, May 31, 2018 - 6:10:13 PM
Last modification on : Saturday, January 15, 2022 - 3:51:39 AM
Long-term archiving on: : Saturday, September 1, 2018 - 3:06:03 PM
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