Modelling Eco-Driving Support System for Microscopic Traffic Simulation

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 represe...

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Main Authors: Johan Olstam, Viktor Bernhardsson, Charisma Choudhury, Gerdien Klunder, Isabel Wilmink, Martijn van Noort
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2019/2162568
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author Johan Olstam
Viktor Bernhardsson
Charisma Choudhury
Gerdien Klunder
Isabel Wilmink
Martijn van Noort
author_facet Johan Olstam
Viktor Bernhardsson
Charisma Choudhury
Gerdien Klunder
Isabel Wilmink
Martijn van Noort
author_sort Johan Olstam
collection DOAJ
description 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.
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institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-713bdb725d634ef3bc91f929b7b3cb5c2025-02-03T07:24:55ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/21625682162568Modelling Eco-Driving Support System for Microscopic Traffic SimulationJohan Olstam0Viktor Bernhardsson1Charisma Choudhury2Gerdien Klunder3Isabel Wilmink4Martijn van Noort5Swedish National Road and Transport Research Institute (VTI), SE-581 95 Linköping, SwedenSwedish National Road and Transport Research Institute (VTI), SE-581 95 Linköping, SwedenInstitute for Transport Studies, University of Leeds, UKTNO, P.O. Box 96864, 2509 JG The Hague, NetherlandsTNO, P.O. Box 96864, 2509 JG The Hague, NetherlandsTNO, P.O. Box 96864, 2509 JG The Hague, NetherlandsMicroscopic 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.http://dx.doi.org/10.1155/2019/2162568
spellingShingle Johan Olstam
Viktor Bernhardsson
Charisma Choudhury
Gerdien Klunder
Isabel Wilmink
Martijn van Noort
Modelling Eco-Driving Support System for Microscopic Traffic Simulation
Journal of Advanced Transportation
title Modelling Eco-Driving Support System for Microscopic Traffic Simulation
title_full Modelling Eco-Driving Support System for Microscopic Traffic Simulation
title_fullStr Modelling Eco-Driving Support System for Microscopic Traffic Simulation
title_full_unstemmed Modelling Eco-Driving Support System for Microscopic Traffic Simulation
title_short Modelling Eco-Driving Support System for Microscopic Traffic Simulation
title_sort modelling eco driving support system for microscopic traffic simulation
url http://dx.doi.org/10.1155/2019/2162568
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AT viktorbernhardsson modellingecodrivingsupportsystemformicroscopictrafficsimulation
AT charismachoudhury modellingecodrivingsupportsystemformicroscopictrafficsimulation
AT gerdienklunder modellingecodrivingsupportsystemformicroscopictrafficsimulation
AT isabelwilmink modellingecodrivingsupportsystemformicroscopictrafficsimulation
AT martijnvannoort modellingecodrivingsupportsystemformicroscopictrafficsimulation