从 CPS 角度考虑交通信号灯附近特征的混合交通流宏观模型

IF 1.5 4区 物理与天体物理 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Zhe Wang, Xiaoyong Liao, Dihua Sun, Rongbin Wang, Xiao Wu
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引用次数: 0

摘要

为了提高混合交通情况下交通信号灯附近交通流的效率和稳定性,本文从网络物理系统(CPS)的角度出发,提出了一种考虑交通信号灯附近特征的宏观模型。在该模型中,分析了交通信号灯和车辆变道行为的影响。其中,考虑了信号灯的剩余时间、车辆与信号灯之间的距离以及变道的紧迫性,从而建立了一个宏观模型。最后,仿真结果表明,与传统的宏观模型相比,所提出的模型可以提高交通信号灯附近交通流的稳定性,有效缓解交通拥堵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A macroscopic model of mixed traffic flow considering the characteristics of the vicinity of traffic signals from CPS perspective

To enhance the efficiency and stability of traffic flow in the vicinity of traffic signals under mixed traffic, a macroscopic model considering the characteristics of the vicinity of traffic signals is proposed from the perspective of cyber-physical systems (CPS). In this model, the effects of traffic lights and vehicle lane changing behavior are analyzed. Among them, the remaining time of the signal light, the distance between the vehicle and the signal light, and the urgency of lane change are considered to build a macro model. Finally, the simulation results show that compared with the traditional macroscopic model, the proposed model can improve the stability of traffic flow in the vicinity of traffic signals and effectively alleviate traffic congestion.

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来源期刊
International Journal of Modern Physics C
International Journal of Modern Physics C 物理-计算机:跨学科应用
CiteScore
3.00
自引率
15.80%
发文量
158
审稿时长
4 months
期刊介绍: International Journal of Modern Physics C (IJMPC) is a journal dedicated to Computational Physics and aims at publishing both review and research articles on the use of computers to advance knowledge in physical sciences and the use of physical analogies in computation. Topics covered include: algorithms; computational biophysics; computational fluid dynamics; statistical physics; complex systems; computer and information science; condensed matter physics, materials science; socio- and econophysics; data analysis and computation in experimental physics; environmental physics; traffic modelling; physical computation including neural nets, cellular automata and genetic algorithms.
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