Heterogeneous Traffic Mixing Regular and Connected Vehicles: Modeling and Stabilization
Heterogeneous Traffic Mixing Regular and Connected Vehicles: Modeling and Stabilization
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混合常规车辆和联网车辆的异构交通：建模和稳定
DOI：
10.1109/tits.2018.2857465
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发表时间：
2019
影响因子：
8.5
通讯作者：
He Zhengbing
中科院分区：
文献类型：
--
作者：
Xie Dongfan;Zhao Xiaomei;He Zhengbing
在未来的几十年里，联网车辆将加入常规车辆的行列出现在道路上，交通流的特征也将随之改变。为了对普通车辆和联网车辆混合的异构交通流进行建模，本文首先提出了一个通用的车辆跟驰框架。从理论上推导了非均匀交通流的线性稳定性条件，表明非均匀交通流的稳定性与车辆的渗透率和空间分布密切相关。以智能驾驶员模型为例，应用通用跟驰框架，研究表明，联网车辆能够显著增强交通流的稳定性，提高交通效率，尤其是在交通拥堵时.仿真结果表明，所提出的驾驶员辅助策略在稳定交通和提高交通效率方面具有良好的效果.
In the upcoming decades, connected vehicles will join regular vehicles to appear on roads, and the characteristics of traffic flow will be changed accordingly. To model the heterogeneous traffic mixing regular and connected vehicles, a generic car-following framework is first proposed in this paper. A linear stability condition is theoretically derived, which indicates that the stability of the heterogeneous traffic is closely related to the penetration rate and the spatial distribution of connected vehicles. The generic car-following framework is applied by taking the Intelligent Driver Model as an example, and it is shown that connected vehicles can obviously enhance the stability of traffic flow and improve traffic efficiency in particular when traffic is in congestion. Moreover, a driver assistance strategy based on distributed feedback control is developed for connected vehicles, and the simulation results show that the proposed driver assistance strategy performs satisfactorily in stabilizing traffic as well as improving traffic efficiency.