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Travel Time Estimation Using Sparsely Sampled Probe GPS Data in Urban Road Networks Context

Abstract : This dissertation is concerned with the problem of estimating travel time per links in urban context using sparsely sampled GPS data. One of the challenges in this thesis is use the sparsely sampled data. A part of this research work, i developed a digital map with its new geographic information system (GIS), dealing with map-matching problem, where we come out with an enhancement tecnique, and also the shortest path problem.The thesis research work was conduct within the project PUMAS, which is an avantage for our research regarding the collection process of our data from the real world field and also in making our tests. The project PUMAS (Plate-forme Urbaine de Mobilité Avancée et Soutenable / Urban Platform for Sustainable and Advanced Mobility) is a preindustrial project that has the objective to inform about the traffic situation and also to develop an implement a platform for sustainable mobility in order to evaluate it in the region, specifically Rouen, France. The result is a framework for any traffic controller or manager and also estimation researcher to access vast stores of data about the traffic estimation, forecasting and status.
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Submitted on : Wednesday, March 13, 2013 - 1:12:36 PM
Last modification on : Tuesday, February 5, 2019 - 11:44:21 AM
Long-term archiving on: : Friday, June 14, 2013 - 5:00:12 AM


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  • HAL Id : tel-00800203, version 1


Amnir Hadachi. Travel Time Estimation Using Sparsely Sampled Probe GPS Data in Urban Road Networks Context. Other [cs.OH]. INSA de Rouen, 2013. English. ⟨NNT : 2013ISAM0003⟩. ⟨tel-00800203⟩



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