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"Research on Information Flow Topology for Connected Autonomous Vehicle" by Yan Yan

Information flow topology plays a crucial role in connected autonomous vehicles (CAVs). It describes how CAVs communicate and exchange information with each other. It predominantly affects the platoon's performance, including the convergence time, robustness, stability, and scalability. It also dramatically affects the controller design of CAVs. Therefore, studying information flow topology is necessary to ensure the platoon's stability and improve its performance. Advanced sliding mode controllers and optimisation strategies for information flow topology are investigated in this project.
Firstly, the impact of information flow topology on the platoon is studied regarding tracking ability, fuel economy and driving comfort. A Pareto optimal information flow topology offline searching approach is proposed using a non-dominated sorting genetic algorithm (NSGA-II) to improve the platoon's overall performance while ensuring stability.
Secondly, the concept of asymmetric ....

Liding Mode Controller , Nformation Flow Topology ,

"A Pareto optimal information flow topology for control of connected au" by Yan Yan, Haiping Du et al.

Information flow topology plays a crucial role in the control of connected autonomous vehicles. This paper proposes an approach to search for the Pareto optimal information flow topology off-line for the control of connected vehicles platoon using a non-dominated sorting genetic algorithm. Based on the obtained Pareto optimal information flow topology, the platoons overall performance in terms of three main performance indices: tracking index, acceleration standard deviation, and fuel consumption, are all improved. Numerical simulations are used to validate the effectiveness of the proposed approach. In the simulation, the impact of different information flow topologies on the performance of the connected autonomous vehicles platoon is firstly investigated. The results show that more communication links can lead to better tracking ability. The smoothness of the velocity profile is consistent with fuel economy, while velocity profiles smoothness, fuel economy and communication efficienc ....

Autonomous Vehicles , Iological System Modeling , Connected Autonomous Vehicles , Xternal Disturbance , Nformation Flow Topology , Network Topology , Sga Ii , Pareto Optimization , Stability Criteria , Vehicle Dynamics , Ehicular Platoon ,