Stabilization of traffic flow based on multi-anticipative intelligent driver model

Xiqun Chen; Ruimin Li; Weijun Xie; Qixin Shi

doi:10.1109/ITSC.2009.5309847

Stabilization of traffic flow based on multi-anticipative intelligent driver model

Xiqun Chen
, Ruimin Li
, Weijun Xie
, Qixin Shi

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

12 Citations (Scopus)

Abstract

This paper extends the intelligent driver model (IDM) with a multi-anticipative behavior and a reaction delay to describe the motion of the dynamical traffic flow. In the approach, the acceleration and deceleration manipulations of drivers depend on the velocity of the subject vehicle n, the netto gaps and velocity differences between vehicle n and a range of the preceding vehicles from n-1 to n-m. We analyze the linear stability of the multi-anticipative intelligent driver model (MIDM) by introducing a small disturbance into the homogeneous traffic flow on a single lane with open boundaries. The induced neutral stability curve in the phase diagrams reflects the multi-anticipative behavior and shows that the stable region is a result of the collective effects of the desired time gap, the reaction time, the maximum acceleration, the maximum anticipative vehicles, the homogeneous velocity and netto gap, and so on. The traffic congestions can be suppressed by introducing the multi-anticipative interactions. The results of numerical simulation coincide with the theoretical linear stability analysis. © 2009 IEEE.

Original language	English
Title of host publication	2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09
Publisher	IEEE
Pages	72-77
ISBN (Print)	9781424455218
DOIs	https://doi.org/10.1109/ITSC.2009.5309847
Publication status	Published - 2009
Externally published	Yes
Event	12th International IEEE Conference on Intelligent Transportation Systems, ITSC 2009 - St. Louis, MO, United States Duration: 4 Oct 2009 → 7 Oct 2009

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)	2153-0009
ISSN (Electronic)	2153-0017

Conference

Conference	12th International IEEE Conference on Intelligent Transportation Systems, ITSC 2009
Place	United States
City	St. Louis, MO
Period	4/10/09 → 7/10/09

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Research Keywords

Car-following model
Intelligent driver model (IDM)
Linear stability analysis
Multi-anticipative behavior
Traffic flow

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10.1109/ITSC.2009.5309847

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Chen, X., Li, R., Xie, W., & Shi, Q. (2009). Stabilization of traffic flow based on multi-anticipative intelligent driver model. In 2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09 (pp. 72-77). Article 5309847 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). IEEE. https://doi.org/10.1109/ITSC.2009.5309847

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title = "Stabilization of traffic flow based on multi-anticipative intelligent driver model",

abstract = "This paper extends the intelligent driver model (IDM) with a multi-anticipative behavior and a reaction delay to describe the motion of the dynamical traffic flow. In the approach, the acceleration and deceleration manipulations of drivers depend on the velocity of the subject vehicle n, the netto gaps and velocity differences between vehicle n and a range of the preceding vehicles from n-1 to n-m. We analyze the linear stability of the multi-anticipative intelligent driver model (MIDM) by introducing a small disturbance into the homogeneous traffic flow on a single lane with open boundaries. The induced neutral stability curve in the phase diagrams reflects the multi-anticipative behavior and shows that the stable region is a result of the collective effects of the desired time gap, the reaction time, the maximum acceleration, the maximum anticipative vehicles, the homogeneous velocity and netto gap, and so on. The traffic congestions can be suppressed by introducing the multi-anticipative interactions. The results of numerical simulation coincide with the theoretical linear stability analysis. {\textcopyright} 2009 IEEE.",

keywords = "Car-following model, Intelligent driver model (IDM), Linear stability analysis, Multi-anticipative behavior, Traffic flow",

author = "Xiqun Chen and Ruimin Li and Weijun Xie and Qixin Shi",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 12th International IEEE Conference on Intelligent Transportation Systems, ITSC 2009 ; Conference date: 04-10-2009 Through 07-10-2009",

year = "2009",

doi = "10.1109/ITSC.2009.5309847",

language = "English",

isbn = "9781424455218",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

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}

Chen, X, Li, R, Xie, W & Shi, Q 2009, Stabilization of traffic flow based on multi-anticipative intelligent driver model. in 2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09., 5309847, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, IEEE, pp. 72-77, 12th International IEEE Conference on Intelligent Transportation Systems, ITSC 2009, St. Louis, MO, United States, 4/10/09. https://doi.org/10.1109/ITSC.2009.5309847

Stabilization of traffic flow based on multi-anticipative intelligent driver model. / Chen, Xiqun; Li, Ruimin; Xie, Weijun et al.
2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09. IEEE, 2009. p. 72-77 5309847 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Stabilization of traffic flow based on multi-anticipative intelligent driver model

AU - Chen, Xiqun

AU - Li, Ruimin

AU - Xie, Weijun

AU - Shi, Qixin

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2009

Y1 - 2009

N2 - This paper extends the intelligent driver model (IDM) with a multi-anticipative behavior and a reaction delay to describe the motion of the dynamical traffic flow. In the approach, the acceleration and deceleration manipulations of drivers depend on the velocity of the subject vehicle n, the netto gaps and velocity differences between vehicle n and a range of the preceding vehicles from n-1 to n-m. We analyze the linear stability of the multi-anticipative intelligent driver model (MIDM) by introducing a small disturbance into the homogeneous traffic flow on a single lane with open boundaries. The induced neutral stability curve in the phase diagrams reflects the multi-anticipative behavior and shows that the stable region is a result of the collective effects of the desired time gap, the reaction time, the maximum acceleration, the maximum anticipative vehicles, the homogeneous velocity and netto gap, and so on. The traffic congestions can be suppressed by introducing the multi-anticipative interactions. The results of numerical simulation coincide with the theoretical linear stability analysis. © 2009 IEEE.

AB - This paper extends the intelligent driver model (IDM) with a multi-anticipative behavior and a reaction delay to describe the motion of the dynamical traffic flow. In the approach, the acceleration and deceleration manipulations of drivers depend on the velocity of the subject vehicle n, the netto gaps and velocity differences between vehicle n and a range of the preceding vehicles from n-1 to n-m. We analyze the linear stability of the multi-anticipative intelligent driver model (MIDM) by introducing a small disturbance into the homogeneous traffic flow on a single lane with open boundaries. The induced neutral stability curve in the phase diagrams reflects the multi-anticipative behavior and shows that the stable region is a result of the collective effects of the desired time gap, the reaction time, the maximum acceleration, the maximum anticipative vehicles, the homogeneous velocity and netto gap, and so on. The traffic congestions can be suppressed by introducing the multi-anticipative interactions. The results of numerical simulation coincide with the theoretical linear stability analysis. © 2009 IEEE.

KW - Car-following model

KW - Intelligent driver model (IDM)

KW - Linear stability analysis

KW - Multi-anticipative behavior

KW - Traffic flow

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DO - 10.1109/ITSC.2009.5309847

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424455218

T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 72

EP - 77

BT - 2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09

PB - IEEE

T2 - 12th International IEEE Conference on Intelligent Transportation Systems, ITSC 2009

Y2 - 4 October 2009 through 7 October 2009

ER -

Stabilization of traffic flow based on multi-anticipative intelligent driver model

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

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