Congestion and phase transitions of heterogeneous continuum model with large trucks mixed with conventional vehicles and ACC vehicles
Guanghan Peng,
Mingzuo Xu and
Huili Tan
Chaos, Solitons & Fractals, 2024, vol. 185, issue C
Abstract:
It is common that there are large trucks mixed in the road, and the traffic situation has become more complicated. Moreover, the existence of large trucks and adaptive cruise control (ACC) vehicles will affect the traffic speed in mixed traffic. Based on the hybrid vehicles including ACC vehicles and conventional vehicles, we in this paper establish a heterogeneous continuum model with large trucks. The stability conditions and KdV-Burgers equation of heterogeneous vehicle groups with large trucks are derived. Through the numerical simulation of the evolution of heterogeneous car groups, it is known that the congestion of traffic system will be obviously restrained owing to increasing the proportion of large trucks and reducing the optimization speed of car groups in the road. In addition, due to the higher permeability of ACC vehicles, the traffic system becomes more steady, implying that ACC vehicles also promote the improvement of the transportation system.
Keywords: Heterogeneous vehicles; Large trucks; Traffic flow; Macro model; ACC vehicles (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077924006301
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:185:y:2024:i:c:s0960077924006301
DOI: 10.1016/j.chaos.2024.115078
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().