Abstract
Microscopic traffic simulation is an ideal tool for investigating the network level impacts of eco-driving in different networks and traffic conditions, under varying penetration rates and driver compliance rates. The reliability of the traffic simulation results however rely on the accurate representation of the simulation of the driver support system and the response of the driver to the eco-driving advice, as well as on a realistic modelling and calibration of the driver’s behaviour. The state-of-the-art microscopic traffic simulation models however exclude detailed modelling of the driver response to eco-driver support systems. This paper fills in this research gap by presenting a framework for extending state-of-the-art traffic simulation models with sub models for drivers’ compliance to advice from an advisory eco-driving support systems. The developed simulation framework includes among others a model of driver’s compliance with the advice given by the system, a gear shifting model and a simplified model for estimating vehicles maximum possible acceleration. Data from field operational tests with a full advisory eco-driving system developed within the ecoDriver project was used to calibrate the developed compliance models. A set of verification simulations used to illustrate the effect of the combination of the ecoDriver system and drivers’ compliance to the advices are also presented.
Highlights
Eco-driving, which constitutes of a set of behaviours that drivers can adopt to save fuel, and reduce emissions, holds significant promise in substantially contributing to transport sustainability [1]
E aim of this article is to fill in this research gap by presenting a framework for extending traffic simulation models with sub model’s for drivers’ compliance to advice from a full eco-driving support systems (FeDS). e developed simulation framework includes among others a model of driver’s compliance with the advice given by the system, a gear shi ing model and a simplified model for estimating vehicles maximum possible acceleration
Microscopic traffic simulation models are a common tool for estimating impacts from driver support systems on the traffic system
Summary
Eco-driving, which constitutes of a set of behaviours that drivers can adopt to save fuel, and reduce emissions, holds significant promise in substantially contributing to transport sustainability [1] It may enhance tra c safety as a positive side e ect as a result of lower speeds dictated by the system. Driving simulator studies and field trials provide important information on how eco-driving support systems affect individual driver’s behaviour. E aim of this article is to fill in this research gap by presenting a framework for extending traffic simulation models with sub model’s for drivers’ compliance to advice from a full eco-driving support systems (FeDS).
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