An Extended Car-Following Model With Consideration of the Driver's Memory and Control Strategy

Yi-Ming Zheng; Rong-Jun Cheng; Hong-Xia Ge; Siu-Ming Lo

doi:10.1002/asjc.1581

An Extended Car-Following Model With Consideration of the Driver's Memory and Control Strategy

Yi-Ming Zheng, Rong-Jun Cheng^*, Hong-Xia Ge, Siu-Ming Lo

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

7 Citations (Scopus)

Abstract

Taking account of the effect of the driver's memory, an extended car-following model is proposed in this paper. A control signal including the velocity contrast of considered car and the following car is taken into account in this extended model. Numerical simulations are implemented to prove that the application of the model can suppress the traffic congestion successfully.

Original language	English
Pages (from-to)	689-696
Journal	Asian Journal of Control
Volume	20
Issue number	2
Online published	11 Jul 2017
DOIs	https://doi.org/10.1002/asjc.1581
Publication status	Published - Mar 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Research Keywords

car-following model
control method
driver's memory
Traffic flow

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10.1002/asjc.1581

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title = "An Extended Car-Following Model With Consideration of the Driver's Memory and Control Strategy",

abstract = "Taking account of the effect of the driver's memory, an extended car-following model is proposed in this paper. A control signal including the velocity contrast of considered car and the following car is taken into account in this extended model. Numerical simulations are implemented to prove that the application of the model can suppress the traffic congestion successfully.",

keywords = "car-following model, control method, driver's memory, Traffic flow",

author = "Yi-Ming Zheng and Rong-Jun Cheng and Hong-Xia Ge and Siu-Ming Lo",

year = "2018",

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doi = "10.1002/asjc.1581",

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journal = "Asian Journal of Control",

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AU - Zheng, Yi-Ming

AU - Cheng, Rong-Jun

AU - Ge, Hong-Xia

AU - Lo, Siu-Ming

PY - 2018/3

Y1 - 2018/3

N2 - Taking account of the effect of the driver's memory, an extended car-following model is proposed in this paper. A control signal including the velocity contrast of considered car and the following car is taken into account in this extended model. Numerical simulations are implemented to prove that the application of the model can suppress the traffic congestion successfully.

AB - Taking account of the effect of the driver's memory, an extended car-following model is proposed in this paper. A control signal including the velocity contrast of considered car and the following car is taken into account in this extended model. Numerical simulations are implemented to prove that the application of the model can suppress the traffic congestion successfully.

KW - car-following model

KW - control method

KW - driver's memory

KW - Traffic flow

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85022204378&origin=recordpage

U2 - 10.1002/asjc.1581

DO - 10.1002/asjc.1581

M3 - RGC 21 - Publication in refereed journal

SN - 1561-8625

VL - 20

SP - 689

EP - 696

JO - Asian Journal of Control

JF - Asian Journal of Control

IS - 2

ER -

An Extended Car-Following Model With Consideration of the Driver's Memory and Control Strategy

Abstract

UN SDGs

Research Keywords

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