Article Dans Une Revue IEEE Transactions on Intelligent Transportation Systems Année : 2021

Estimation of urban traffic state with probe vehicles

Résumé

We present in this paper a method to estimate urban traffic state with communicating vehicles. Vehicles moving on the links of the urban road network form queues at the traffic lights. We assume that a proportion of vehicles are equipped with localization and communication capabilities, and name them probe vehicles. First, we propose a method for the estimation of the penetration ratio of probe vehicles, as well as the vehicles arrival rate on a link. Moreover, we show that turn ratios at each junction can be estimated. Second, assuming that the turn ratios at each junction are given, we propose an estimation of the queue lengths on a 2-lanes link, by extending a 1-lane existing method. Our extension introduces vehicles assignment onto the lanes. Third, based on this approach, we propose control laws for the traffic light and for the assignment of the arriving vehicles onto the lane queues. Finally, numerical simulations are conducted with Veins framework that bi-directionally couples microscopic road traffic and communication simulators. We illustrate and discuss our propositions with the simulation results.

Domaines

Fichier principal
Vignette du fichier
1811.05394.pdf (772.14 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-03101391 , version 1 (09-02-2024)

Licence

Identifiants

Citer

Cyril Nguyen Van Phu, Nadir Farhi. Estimation of urban traffic state with probe vehicles. IEEE Transactions on Intelligent Transportation Systems, 2021, 22 (5), pp.2797-2808. ⟨10.1109/TITS.2020.2975120⟩. ⟨hal-03101391⟩
130 Consultations
204 Téléchargements

Altmetric

Partager

  • More