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Connecting microscopic traffic simulation and LISA+ external signal control

机译:连接微观交通仿真和LISA +外部信号控制

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Many researchers and traffic engineers have been working on optimizing signal control with respect to its effects on traffic flow and externalities like emissions. As large field studies for traffic management are not sustainable and actuated control strategy becomes complex, its evaluation is done with microscopic traffic simulation. However, their integrated signal control model often impedes implementing the custom control strategy in contrast to signal planning software. Making both types of software cooperate offers valuable perspectives to develop and evaluate a custom control strategy more efficiently. In this work, an overview of signal control and how it can be modeled in microscopic traffic simulation is given. Then, the signal planning software LISA+ and a microscopic traffic simulation (Aimsun in this case) are connected to allow for external signal control. LISA+ offers a virtual signal controller to communicate with external applications via network. Aimsun sends information about the chosen signal program and the detected vehicles to the controller and receives back the signal states for the next simulation second. This concept is presented in detail taking into account the communication protocol and the implementation on the Aimsun side. A case study with time-dependent actuated signal control is included as well.
机译:许多研究人员和交通工程师一直在就信号控制对交通流和外部性(如排放)的影响进行优化。由于交通管理领域的大范围研究不可持续,并且主动控制策略变得复杂,因此需要通过微观交通仿真来进行评估。但是,与信号计划软件相比,它们的集成信号控制模型通常会阻碍实现自定义控制策略。使两种类型的软件协同工作可提供宝贵的观点,以更有效地开发和评估自定义控制策略。在这项工作中,给出了信号控制的概述以及如何在微观交通仿真中对它进行建模。然后,连接信号计划软件LISA +和微观交通模拟(在这种情况下为Aimsun),以进行外部信号控制。 LISA +提供了一个虚拟信号控制器,可以通过网络与外部应用程序进行通信。 Aimsun将有关所选信号程序和检测到的车辆的信息发送到控制器,并接收信号状态,以进行下一次仿真。考虑到通信协议和Aimsun方面的实现,将详细介绍此概念。还包括一个与时间有关的激励信号控制的案例研究。

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