考虑多车响应的网联混行车流跟驰模型及稳态分析

doi:10.13229/j.cnki.jdxbgxb.20221645

Abstract

Abstract:

In order to study the car-following characteristics of Internet connected mixed traffic flow， the establishment of Internet connected mixed traffic flow car-following model can help to understand its car-following characteristics and improve the stability of mixed traffic flow. Considering the optimal velocity and optimal velocity changes with memory based on front and rear headway space， the velocity difference and acceleration difference of multiple front vehicles， a car-following model named multiple front and rear optimal velocity changes with memory （MFROVCM ） which is suitable for the interactive penetration of mixed traffic flow with connected and autonomous vehicles （CAV） and human-driven vehicles （HV） was constructed. The stability analysis of the model shows： Compared with OVCM model， the unstable area is reduced by 53.17%； compared with BL-OVCM model， the unstable area is reduced by 15.44%， and the stability of MFROVCM model is better than other comparison models. The simulation results show that under the same disturbance conditions， MFROVCM model has better traffic flow stabilization performance. With the increase of CAV permeability， the fluctuation amplitude of overall traffic flow velocity decreases， and the time to restore stability gradually decreases. The model can be applied to the car-following simulation of CAV and HV mixed traffic flow， and provides a theoretical basis and model basis for the traffic controlstrategy of networked mixed traffic flow.

Key words: traffic engineering, connected mixed traffic flow, car-following model, numerical simulation, multiple vehicles response, optimal velocity changes with memory

CLC Number:

U491

Hui SONG,Da-yi QU,Shao-jie WANG,Tao WANG,Zi-yi YANG. Connected mixed traffic flow car-following model and stability analysis considering multiple vehicles response[J].Journal of Jilin University(Engineering and Technology Edition), 2024, 54(11): 3220-3230.

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项目	α_I	λ_I	k_I	γ_I	τ	P
I=1	0.8	0.10	0.00	0.10	0.2	0.9
I=2	0.9	0.15	0.05	0.15	0.2	0.9
I=3	1.0	0.20	0.10	0.20	0.2	0.9

模型	α	λ	k	γ	τ	P
OV	1.0	0.0	0.0	0.0	0.0	1.0
FVD	1.0	0.2	0.0	0.0	0.0	1.0
OVCM	1.0	0.2	0.0	0.2	0.2	1.0
BLVD	1.0	0.2	0.0	0.0	0.0	0.9
BL-OVCM	1.0	0.2	0.0	0.2	0.2	0.9
MFROVCM	1.0	0.2	0.1	0.2	0.2	0.9

Connected mixed traffic flow car-following model and stability analysis considering multiple vehicles response

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