In this paper the microscopic traffic modeling framework proposed by the authors is enriched with a hybrid driver-vehicle model. The proposed framework models traffic networks exploring vehicle to vehicle and road to vehicle interactions. Vehicles are modeled as agents composed of simple vehicular dynamics controlled by a hybrid automaton representing the control that each driver applies to his vehicle to steer its dynamics. The continuous dynamics of the hybrid system implements a speed-position tracking control. The discrete event dynamics set the objective of the control according to the driving task chosen by the driver on the basis of the perceived environmental information.

Hybrid driver-vehicle dynamics in microscopic modeling of traffic networks

FALCONI, RICCARDO;PAOLI, ANDREA;BONIVENTO, CLAUDIO
2012

Abstract

In this paper the microscopic traffic modeling framework proposed by the authors is enriched with a hybrid driver-vehicle model. The proposed framework models traffic networks exploring vehicle to vehicle and road to vehicle interactions. Vehicles are modeled as agents composed of simple vehicular dynamics controlled by a hybrid automaton representing the control that each driver applies to his vehicle to steer its dynamics. The continuous dynamics of the hybrid system implements a speed-position tracking control. The discrete event dynamics set the objective of the control according to the driving task chosen by the driver on the basis of the perceived environmental information.
Proceedings of the 4th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS 12)
356
363
R. Falconi; C. Longhin; A. Paoli; C. Bonivento
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/130449
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