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A clustering approach to assess the travel time variability of arterials

Résumé : The travel time variability may significantly influence the driver's route choice. Estimating travel time reliability is thus really appealing to urban infrastructure managers. This could provide better information to drivers, encourage their reassignment on the network, and optimize its use. In this paper, we study any arterial in under-saturated conditions with known fixed-time traffic signals. The kinematic wave model is chosen to simply represent traffic dynamics. A semi-analytical (grid-free) method is applied to determine the separation between vehicle groups at each signal of the arterial. The main contribution of this paper is to present an aggregated diagram that describes the functioning of this arterial. It graphically provides the direct assessment of vehicle travel times with respect to their departure and the traffic flow. This tool only depends on signal settings and is cyclic and invariant for fixed-time signals. We show how to use this diagram to generate probabilistic travel time distributions when some input parameters are uncertain. Furthermore, this diagram appears insightful when the traffic flow is not accurately known.
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Submitted on : Monday, October 12, 2015 - 3:26:58 PM
Last modification on : Friday, June 17, 2022 - 1:28:10 PM


  • HAL Id : hal-01214575, version 1



Etienne Hans, Nicolas Chiabaut, Ludovic Leclercq. A clustering approach to assess the travel time variability of arterials. TRB 2014 - 93rd Transportation Research Board Annual Meeting, Jan 2014, WASHINGTON DC, United States. 15 p. ⟨hal-01214575⟩



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