Technical Concept for sensor-based Traffic Flow Optimization on connected real-world intersections via a SUMO Feature Gap Analysis

Ingo Trautwein, Andreas Freymann, Emanuel Reichsöllner, Jessica Schöps Kraus, Mirco Sonntag, Thomas Schrodi
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Abstract

Traffic within cities has increased in the last decades due to increasing mobility, changing mobility behavior and new mobility offerings. These accelerating changes make it increasingly difficult for responsible authorities or other stakeholders to predict mobility behavior, to configure traffic rules or to size roads, bridges and parking lots. Traffic simulations are a powerful tool for estimating and evaluating current and future mobility, upcoming traffic services and automated functionalities in the domain of traffic management. For being able to simulate a complex real-world traffic environment and traffic incidents, the simulation environment needs to fulfill requirements from real-world scenarios related to sensor-based data processing. In addition, it must be possible to include latest advancements of technology in the simulation environment, for instance, (1) connected intersections that communicate with each other, (2) a complex and flexible set of rules for traffic sign control and traffic management or a well-defined data processing of relevant sensor data. In this paper we therefore define requirements for a traffic simulation based on a complex real-world scenario in Germany. The project addresses major urban challenges and aims at demonstrating the contribution that the upcoming 5G mobile generation can make to solving real-time traffic flow optimization. In a second step, we investigate in detail if the simulation environment SUMO (Simulation of Urban Mobility) fulfills the postulated requirements. Thirdly, we propose a technical concept to close the gap of the uncovered requirements for later implementation.
基于SUMO特征差距分析的基于传感器的现实世界互联交叉口交通流优化技术概念
在过去的几十年里,由于移动性的增加、移动性行为的改变和新的移动性产品,城市内的交通量增加了。这些加速变化使得主管当局或其他利益攸关方越来越难以预测出行行为、制定交通规则或确定道路、桥梁和停车场的规模。交通模拟是一个强大的工具,用于估计和评估当前和未来的流动性,即将到来的交通服务和交通管理领域的自动化功能。为了能够模拟复杂的现实交通环境和交通事故,仿真环境需要满足与基于传感器的数据处理相关的现实场景的需求。此外,必须能够在模拟环境中包含最新的技术进步,例如,(1)相互通信的连接十字路口,(2)一套复杂而灵活的交通标志控制和交通管理规则,或对相关传感器数据的定义良好的数据处理。因此,在本文中,我们定义了基于德国复杂现实场景的交通模拟需求。该项目解决了主要的城市挑战,旨在展示即将到来的5G移动一代对解决实时交通流量优化的贡献。在第二步中,我们详细研究了模拟环境SUMO(模拟城市交通)是否满足假设的要求。第三,我们提出了一个技术概念,以缩小未发现需求的差距,以便以后实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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