考虑交通回滞的混合交通流元胞传输模型

doi:10.3778/j.issn.1002-8331.2405-0324

摘要/Abstract

摘要： 常规的混合交通流元胞传输模型（cell transmission model，CTM）在表述诸如交通回滞这类复杂的现象时存在着一定的局限性。通过将混合交通流CTM与实际观测到的交通回滞现象相结合，引入了反向波折减系数以更好地模拟交通流从拥堵状态恢复至自由流状态的过程，并通过仿真实验验证了基本图的正确性，在此基础之上提出考虑交通回滞的混合交通流CTM，进一步提高了宏观交通流仿真模型的精准度。通过与跟驰模型微观仿真进行了对比表明，在不同的智能网联车比例下，考虑交通回滞的混合交通流CTM绝对误差均在30 s以内，相对误差在4%以内，较普通的混合交通流CTM提高了模型精度，可以较好地描述混合交通流的宏观运行态势。

关键词: 交通流, 元胞传输模型, 交通回滞, 自动驾驶, 交通拥堵

Abstract: Conventional cell transmission model(CTM) for mixed traffic flows has certain inherent limitations when it comes to capturing complex phenomena such as traffic hysteresis. This paper integrates the concept of observed traffic hysteresis into the mixed traffic flow CTM, particularly introducing a retrograde wave attenuation coefficient to better simulate the process by which traffic flow transitions from a congested state back to free flow. Through simulation experiments, the validity of the fundamental diagram is verified within this context. Based on these foundations, a modified mixed traffic flow CTM that takes into account traffic hysteresis is proposed, further enhancing the accuracy of macroscopic traffic flow simulation models. Comparisons with car-following microscopic simulations show that under varying proportions of connected and autonomous vehicles, the proposed mixed traffic flow CTM with consideration of traffic hysteresis has absolute errors no more than 30 seconds and relative errors within 4%, significantly improving upon the accuracy of regular mixed traffic flow CTM. This refined model effectively characterizes the macroscopic operational status of mixed traffic flow.

Key words: traffic flow, cell transmission model, traffic hysteresis, automated driving, traffic congestion

王志建, 宋程龙, 王久增. 考虑交通回滞的混合交通流元胞传输模型[J]. 计算机工程与应用, 2025, 61(15): 373-380.

WANG Zhijian, SONG Chenglong, WANG Jiuzeng. Cell Transmission Model of Mixed Traffic Flow with Traffic Hysteresis[J]. Computer Engineering and Applications, 2025, 61(15): 373-380.

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