Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (6): 2015-2029.doi: 10.13229/j.cnki.jdxbgxb.20230987

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Curve lattice model for connected commercial vehicles based on density dispersion and information transmission delay

Hong-zhuan ZHAO1,2,3,4,5(),Ze-jian WU1,2,4,5,Xin ZHANG1,2,Sheng-wen SHI4,Wen-yong LI1,Xin ZHAN4,En-yong XU4,Jia-ming WANG4,6   

  1. 1.Guangxi Key Laboratory of ITS，Guilin University of Electronic Technology，Guilin 541004，China
    2.School of Architecture and Transportation Engineering，Guilin University of Electronic Technology，Guilin 541004，China
    3.Guangxi Key Laboratory of Precision Navigation Technology and Application，Guilin University of Electronic Technology，Guilin 541004，China
    4.Dongfeng Liuzhou Automobile Co. ，Ltd. ，Liuzhou 545005，China
    5.GUET-Nanning E-Tech Research Institute Co. ，Ltd，Nanning 530032，China
    6.College of Humanities，Art and Design，Guangxi University of Science and Technology，Liuzhou 545006，China
  • Received:2023-09-14 Online:2025-06-01 Published:2025-07-23

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Abstract:

In order to solve the traffic congestion problem of mixed traffic flow with connected commercial vehicles in the curve environment and improve the stability of mixed traffic flow with connected commercial vehicles in the curve environment， a lattice model of connected commercial vehicles based on density dispersion effect and information transmission delay effect （DDITD） in curve environment was proposed. The density dispersion effect was first proposed， which reveals the influence of the following characteristics of connected commercial vehicles on the density distribution of mixed traffic flow. The density dispersion effect and the information transmission delay effect were introduced into the curve lattice model at the same time， which expands the applicable scope of the lattice model. Firstly， the turn correction coefficient in DDITD model was calibrated through real vehicle test， and then the DDITD model was analyzed by linear stability analysis to study the influence of density dispersion and information transmission delay on the stability of traffic flow under the curve environment. Secondly， the reduced perturbation method was applied through nonlinear stability analysis. The mKdV （modified Korteweg de Vries） equation was derived to describe the critical point of traffic density wave evolution. Finally， the theoretical results were verified by numerical simulation， and the results show that the density dispersion effect and the information transmission delay effect can effectively alleviate the traffic jam on the curve. The research results provides a new method for studying the following characteristics of connected commercial vehicles and the stability of mixed traffic flow， and provides a new ideas and basis for traffic management and control in curved environments.

Key words: engineering of communications and transportation system, lattice hydrodynamic model, curve, commercial vehicles, density dispersion effect, delayed effects of information transmission

CLC Number: 

  • U491.1

Fig.1

Physical model of driving route of commercial vehicle in curved environment"

Fig.2

Calibration process for commercial vehicle models"

Table 1

Experimental setting"

驾驶场景驾驶行为
右转弯启动加速行驶
高速匀速行驶
制动减速行驶
左转弯启动加速行驶
高速匀速行驶
制动减速行驶

Table 2

ft value varies with measured maximumspeed"

参数最小值中位数最大值
理论vmax77.5177.5177.51
实测右转vmax64.5765.3166.07
frt0.830.840.85
实测左转vmax67.5368.2468.94
flt0.870.880.89

Fig.3

Box plot of the maximum speed of a commercial vehicle turning"

Fig.4

Density-sensitivity phase diagram"

Fig.5

Relationship between critical sensitivity ac and parameters β， λ and n， respectively"

Fig.6

Local density of space-time evolution figure after t=1 551 000 time step"

Fig.7

Local density of space-time evolution figure after t=1 551 000 time step"

Fig.8

Local density of space-time evolution figure after t=1 551 000 time step"

Fig.9

t=1 551 000 time step density profile"

Fig.10

t=1 551 000 time step density profile"

Fig.11

t=1 551 000 time step density profile"

Fig.12

Hysteresis under different values of n，βandλ"

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