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Automated generation of traffic signals and lanes for MATSim based on OpenStreetMap

机译:基于OpenStreetMap的Matsim自动生成流量信号和车道

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OpenStreetMap (OSM) offers information on traffic networks like the position of intersections and streets, road categories, speed limits, number of lanes etc. Based on this information, network input data for transport simulations, e.g. the agent-based transport simulation MATSim can be generated. A MATSim network is modeled as a graph with nodes (intersections) and links (streets). Previously, data about traffic signals and lanes could only be provided to MATSim simulations by manual data preparation or had to be emulated by reducing flow capacities of links that lead towards signalized intersections. To be able to model inner-city traffic more realistically, this study extends the input generation of MATSim. Information about traffic signals and lanes is extracted from OSM and automatically processed to create signal and lane input files for the simulation. Processing data about traffic signals and lanes is required to optimize fixed-time plans, as well as to develop and validate algorithms for traffic-adaptive signals. This study provides the basis for further development of traffic lights in the transport simulation MATSim. An application of a MATSim simulation including traffic signals and lanes in the Berlin metropolitan area verifies the developed method.
机译:OpenStreetMap(OSM)提供有关交通网络的信息,如交叉口和街道,道路类别,速度限制,车道数量等的位置。用于运输模拟的网络输入数据,例如,可以生成基于代理的传输模拟Matsim。 Matsim网络被建模为具有节点(交叉点)和链接(街道)的图形。以前,只能通过手动数据准备提供关于交通信号和车道的数据,或者必须通过减少导致信号交叉口的链路的流量来模拟。为了能够更现实地建模内城交通,这项研究扩展了MATSIM的输入生成。有关流量信号和通道的信息从OSM中提取并自动处理以创建用于模拟的信号和通道输入文件。需要处理有关交通信号和泳道的数据来优化固定时间计划,以及开发和验证流量自适应信号的算法。本研究为运输仿真Matsim进一步发展交通灯的进一步发展为基础。 MATSIM仿真在包括柏林大都市区中的交通信号和车道的应用验证了开发的方法。

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