Driver’s Anticipation and Memory Driving Car-Following Model

We developed a new car-following model to investigate the effects of driver anticipation and driver memory on traffic flow. The changes of headway, relative velocity, and driver memory to the vehicle in front are introduced as factors of driver’s anticipation behavior. Linear and nonlinear stability...

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Main Authors: Ammar Jafaripournimchahi, Lu Sun, Wusheng Hu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/4343658
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author Ammar Jafaripournimchahi
Lu Sun
Wusheng Hu
author_facet Ammar Jafaripournimchahi
Lu Sun
Wusheng Hu
author_sort Ammar Jafaripournimchahi
collection DOAJ
description We developed a new car-following model to investigate the effects of driver anticipation and driver memory on traffic flow. The changes of headway, relative velocity, and driver memory to the vehicle in front are introduced as factors of driver’s anticipation behavior. Linear and nonlinear stability analyses are both applied to study the linear and nonlinear stability conditions of the new model. Through nonlinear analysis a modified Korteweg-de Vries (mKdV) equation was constructed to describe traffic flow near the traffic near the critical point. Numerical simulation shows that the stability of traffic flow can be effectively enhanced by the effect of driver anticipation and memory. The starting and breaking process of vehicles passing through the signalized intersection considering anticipation and driver memory are presented. All results demonstrate that the AMD model exhibit a greater stability as compared to existing car-following models.
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institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-b08814a1cbb740a18a0cf9f0093819332025-02-03T01:04:39ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/43436584343658Driver’s Anticipation and Memory Driving Car-Following ModelAmmar Jafaripournimchahi0Lu Sun1Wusheng Hu2School of Transportation Engineering, Southeast University, Nanjing 210096, ChinaSchool of Transportation Engineering, Southeast University, Nanjing 210096, ChinaSchool of Transportation Engineering, Southeast University, Nanjing 210096, ChinaWe developed a new car-following model to investigate the effects of driver anticipation and driver memory on traffic flow. The changes of headway, relative velocity, and driver memory to the vehicle in front are introduced as factors of driver’s anticipation behavior. Linear and nonlinear stability analyses are both applied to study the linear and nonlinear stability conditions of the new model. Through nonlinear analysis a modified Korteweg-de Vries (mKdV) equation was constructed to describe traffic flow near the traffic near the critical point. Numerical simulation shows that the stability of traffic flow can be effectively enhanced by the effect of driver anticipation and memory. The starting and breaking process of vehicles passing through the signalized intersection considering anticipation and driver memory are presented. All results demonstrate that the AMD model exhibit a greater stability as compared to existing car-following models.http://dx.doi.org/10.1155/2020/4343658
spellingShingle Ammar Jafaripournimchahi
Lu Sun
Wusheng Hu
Driver’s Anticipation and Memory Driving Car-Following Model
Journal of Advanced Transportation
title Driver’s Anticipation and Memory Driving Car-Following Model
title_full Driver’s Anticipation and Memory Driving Car-Following Model
title_fullStr Driver’s Anticipation and Memory Driving Car-Following Model
title_full_unstemmed Driver’s Anticipation and Memory Driving Car-Following Model
title_short Driver’s Anticipation and Memory Driving Car-Following Model
title_sort driver s anticipation and memory driving car following model
url http://dx.doi.org/10.1155/2020/4343658
work_keys_str_mv AT ammarjafaripournimchahi driversanticipationandmemorydrivingcarfollowingmodel
AT lusun driversanticipationandmemorydrivingcarfollowingmodel
AT wushenghu driversanticipationandmemorydrivingcarfollowingmodel