文章基本信息

标题：Combined Scheduling and Control Design for the Coordination of Automated Vehicles at Intersections
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作者：Maximilian Kneissl ; Adam Molin ; Sebastian Kehr 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：15259-15266
DOI：10.1016/j.ifacol.2020.12.2316
语种：English
出版社：Elsevier
摘要：AbstractSolving the problem of intersection crossing for autonomous vehicles is a challenging task due to combined combinatoric and dynamical control decisions. To reduce the complexity of the computations and distribute the resulting global optimization problem, we propose a combined scheduling-control method. Thereby, in this paper, we focus on the formulation of a resource-constrained-project-scheduling problem (RCPSP) to solve the combinatoric decision, i.e. the order in which vehicles cross an intersection area in a central coordination unit. This problem considers control decisions from the vehicles, which are computed using model predictive control (MPC) laws. In turn, the resulting scheduling solution is incorporated again in local vehicle MPC problems, which negotiate among each other to find a dynamically feasible solution. This seamless combination of scheduling and control results in efficient solutions, which is illustrated using numerical simulation and the results are compared with a first-come-first-served (FCFS) strategy.
关键词：KeywordsInteractive vehicle controlAutonomous vehiclesIntersection crossingDistributed Model Predictive ControlScheduling algorithms