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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Format: | Article |
Language: | English |
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Wiley
2019-01-01
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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. |
format | Article |
id | doaj-art-713bdb725d634ef3bc91f929b7b3cb5c |
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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