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Reducing time headway for platooning of connected vehicles via V2V communication
作者 Yougang Bian, Yang Zhenga, Wei Ren, Shengbo Eben Li, Jianqiang Wang, Keqiang Li
出版年份 2019 引用
摘要
In a platoon of connected vehicles, time headway plays an important role in both traffic capacity and road safety. It is desirable to maintain a lower time headway while satisfying string stability in a plato...展开全文
In a platoon of connected vehicles, time headway plays an important role in both traffic capacity and road safety. It is desirable to maintain a lower time headway while satisfying string stability in a platoon, since this leads to a higher traffic capacity and guarantees the disturbance attenuation ability. In this paper, we study a multiple-predecessor following strategy to reduce time headway via vehicle-to-vehicle (V2V) communication. We first introduce a new definition of desired inter-vehicle distances based on the constant time headway (CTH) policy, which is suitable for general communication topologies. By exploiting lower-triangular structures in a time headway matrix and an information topology matrix, we derive a set of necessary and sufficient conditions on feedback gains for internal asymptotic stability. Further, by analyzing the stable region of feedback gains, a necessary and sufficient condition on time headway is also obtained for the string stability specification. It is proved that a platoon can be asymptotically stable and string stable when the time headway is lower bounded. Moreover, this bound can be reduced by increasing the number of predecessors. These results explicitly highlight the benefits of V2V communication on reducing time headway for platooning of connected vehicles.
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Double-layer speed optimization for reducing fuel consumption with vehicle-to-infrastructure communication
作者 Biao Xu,Xiaolong Chen ,Keqiang Li ,Manjiang Hu ,Yougang Bian,Qianwen Yu,Jianqiang Wang
出版年份 2019 引用
摘要
Speed profiles affect fuel economy tremendously, especially, when vehicles running on an urban road with numerous signalized intersections. To improve fuel economy, in this study, we propose a d...展开全文
Speed profiles affect fuel economy tremendously, especially, when vehicles running on an urban road with numerous signalized intersections. To improve fuel economy, in this study, we propose a double-layer speed optimization method with real-time computation that considers traffic signal information collected via vehicle-to- infrastructure communication and traffic conditions. In the first layer, we use a Dijkstra algorithm to optimize the average eco-speed between adjacent intersections with full-horizon traffic signal information, and in the second layer, we use an optimal control method to plan a real-time speed profile with average speed constraints. We conduct numerous field tests using a test bed and an experimental vehicle platform. The test results demonstrate that by computing optimal solutions in real time, the proposed double-layer speed optimization method has the potential to improve fuel economy and decrease trip time.
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Cooperative Method of Traffic Signal Optimization and Speed Control of Connected Vehicles at Isolated Intersections
作者 Biao Xu,Xuegang Jeff Ban,Yougang Bian,Wan Li,Jianqiang Wang,Shengbo Eben Li
出版年份 2019 引用
摘要
Signalized intersections play an important role in transportation efficiency and vehicle fuel economy in urban areas. This paper proposes a cooperative method of traffic signal control and vehicle sp...展开全文
Signalized intersections play an important role in transportation efficiency and vehicle fuel economy in urban areas. This paper proposes a cooperative method of traffic signal control and vehicle speed optimization for connected automated vehicles, which optimizes the traffic signal timing and vehicles' speed trajectories at the same time. The method consists of two levels, i.e., roadside traffic signal optimization and onboard vehicle speed control. The former calculates the optimal traffic signal timing and vehicles' arrival time to minimize the total travel time of all vehicles; the latter optimizes the engine power and brake force to minimize the fuel consumption of individual vehicles. The enumeration method and the pseudospectral method are applied in roadside and onboard optimization, respectively. Simulation studies are conducted to compare the proposed method with benchmark methods. The results show significant improvement of transportation efficiency and fuel economy by the cooperation method.
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