Nonlinear analysis of a new car-following model accounting for the global average optimal velocity difference
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 1650327 |
Journal / Publication | Modern Physics Letters B |
Volume | 30 |
Issue number | 27 |
Publication status | Published - 10 Oct 2016 |
Link(s)
DOI | DOI |
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Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(294319a9-60a7-4522-af6f-5faacbd39087).html |
Abstract
In this paper, a new car-following model is proposed by considering the global average optimal velocity difference effect on the basis of the full velocity difference (FVD) model. We investigate the influence of the global average optimal velocity difference on the stability of traffic flow by making use of linear stability analysis. It indicates that the stable region will be enlarged by taking the global average optimal velocity difference effect into account. Subsequently, the mKdV equation near the critical point and its kink-antikink soliton solution, which can describe the traffic jam transition, is derived from nonlinear analysis. Furthermore, numerical simulations confirm that the effect of the global average optimal velocity difference can efficiently improve the stability of traffic flow, which show that our new consideration should be taken into account to suppress the traffic congestion for car-following theory.
Research Area(s)
- Car-following model, traffic flow, stability, numerical simulation, TRAFFIC FLOW, DYNAMICS, CONGESTION, SIMULATION
Citation Format(s)
Nonlinear analysis of a new car-following model accounting for the global average optimal velocity difference. / Peng, Guanghan; Lu, Weizhen; He, Hongdi.
In: Modern Physics Letters B, Vol. 30, No. 27, 1650327, 10.10.2016.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review