维西姆
速度限制
卡西姆
还原(数学)
车辆动力学
模拟
交通系统
计算机科学
流量(计算机网络)
工程类
系统动力学
控制理论(社会学)
实时计算
汽车工程
微模拟
运输工程
人工智能
数学
计算机网络
控制(管理)
几何学
作者
Lianhua An,Xianfeng Yang,Jia Hu
出处
期刊:IEEE Transactions on Intelligent Transportation Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-09-01
卷期号:23 (9): 15755-15764
被引量:20
标识
DOI:10.1109/tits.2022.3145395
摘要
This research aims to model system dynamics for mixed traffic flow consisting of Connected and Automated Vehicles (CAVs) and Human-driven Vehicles (HVs). It quantifies the impact of CAVs’ speed change on the overall traffic state on a real-time basis. The model describes the impedance of CAVs’ speed reduction on traffic flow and considers the impact of potential additional lane change induced by the speed reduction. To validate the effectiveness of the proposed model, a VISSIM based microscopic simulation evaluation is performed. The results confirm that the accuracy of the proposed model is generally over 80% with the CAVs’ speed reduction constrained within 20 km/h. Sensitivity analysis is conducted in terms of various CAV penetration rates and congestion levels. The proposed model demonstrates consistently good performance across all CAV penetration rates and congestion levels. A showcase is presented to show the effect of the system dynamics in active traffic management. The proposed model could serve as the foundation of CAV based traffic management applications, such as variable speed limit and speed harmonization.
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