Improved Generalized Force Model considering the Comfortable Driving Behavior

This paper presents an improved generalized force model (IGFM) that considers the driver’s comfortable driving behavior. Through theoretical analysis, we propose the calculation methods of comfortable driving distance and velocity. Then the stability condition of the model is obtained by the linear...

Full description

Bibliographic Details
Main Authors: De-Jie Xu, Bao-Hua Mao, Shao-Kuan Chen, Yun Bai
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/702695
id doaj-c37089792be44b7a8ee06f0a86a134c7
record_format Article
spelling doaj-c37089792be44b7a8ee06f0a86a134c72020-11-24T23:03:40ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/702695702695Improved Generalized Force Model considering the Comfortable Driving BehaviorDe-Jie Xu0Bao-Hua Mao1Shao-Kuan Chen2Yun Bai3MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, ChinaThis paper presents an improved generalized force model (IGFM) that considers the driver’s comfortable driving behavior. Through theoretical analysis, we propose the calculation methods of comfortable driving distance and velocity. Then the stability condition of the model is obtained by the linear stability analysis. The problems of the unrealistic acceleration of the leading car existing in the previous models were solved. Furthermore, the simulation results show that IGFM can predict correct delay time of car motion and kinematic wave speed at jam density, and it can exactly describe the driver’s behavior under an urgent case, where no collision occurs. The dynamic properties of IGFM also indicate that stability has improved compared to the generalized force model.http://dx.doi.org/10.1155/2015/702695
collection DOAJ
language English
format Article
sources DOAJ
author De-Jie Xu
Bao-Hua Mao
Shao-Kuan Chen
Yun Bai
spellingShingle De-Jie Xu
Bao-Hua Mao
Shao-Kuan Chen
Yun Bai
Improved Generalized Force Model considering the Comfortable Driving Behavior
Mathematical Problems in Engineering
author_facet De-Jie Xu
Bao-Hua Mao
Shao-Kuan Chen
Yun Bai
author_sort De-Jie Xu
title Improved Generalized Force Model considering the Comfortable Driving Behavior
title_short Improved Generalized Force Model considering the Comfortable Driving Behavior
title_full Improved Generalized Force Model considering the Comfortable Driving Behavior
title_fullStr Improved Generalized Force Model considering the Comfortable Driving Behavior
title_full_unstemmed Improved Generalized Force Model considering the Comfortable Driving Behavior
title_sort improved generalized force model considering the comfortable driving behavior
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description This paper presents an improved generalized force model (IGFM) that considers the driver’s comfortable driving behavior. Through theoretical analysis, we propose the calculation methods of comfortable driving distance and velocity. Then the stability condition of the model is obtained by the linear stability analysis. The problems of the unrealistic acceleration of the leading car existing in the previous models were solved. Furthermore, the simulation results show that IGFM can predict correct delay time of car motion and kinematic wave speed at jam density, and it can exactly describe the driver’s behavior under an urgent case, where no collision occurs. The dynamic properties of IGFM also indicate that stability has improved compared to the generalized force model.
url http://dx.doi.org/10.1155/2015/702695
work_keys_str_mv AT dejiexu improvedgeneralizedforcemodelconsideringthecomfortabledrivingbehavior
AT baohuamao improvedgeneralizedforcemodelconsideringthecomfortabledrivingbehavior
AT shaokuanchen improvedgeneralizedforcemodelconsideringthecomfortabledrivingbehavior
AT yunbai improvedgeneralizedforcemodelconsideringthecomfortabledrivingbehavior
_version_ 1725632759161946112