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Article Dans Une Revue Transportation research. Part C, Emerging technologies Année : 2018

Aggregation and travel time calculation over large scale traffic networks: An empiric study on the Grenoble City

Résumé

In this paper we consider aggregation technique to reduce the complexity of large-scale traffic network. In particular, we consider the city of Grenoble and show that, by clustering adjacent sections based on a similarity of speed condition, it is possible to cut down the complexity of the network without loosing crucial and intrinsic information. To this end, we consider travel time computation as a metric of comparison between the original graph and the reduced one: for each cluster we define four attributes (average speed, primary and secondary length and heading) and show that, in case of an aggregation rate of 95%, these attributes are sufficient in order to maintain the travel time error below the 25%.
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Dates et versions

hal-01953560 , version 1 (13-12-2018)

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Giacomo Casadei, Vadim Bertrand, Baptiste Gouin, Carlos Canudas de Wit. Aggregation and travel time calculation over large scale traffic networks: An empiric study on the Grenoble City. Transportation research. Part C, Emerging technologies, 2018, 95, pp.713-730. ⟨10.1016/j.trc.2018.07.033⟩. ⟨hal-01953560⟩
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