DEMO - A Simulation Framework for Multi-modal Commuting and Parking Optimization

Lara Codecà, Jérôme Härri, J. Erdmann
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引用次数: 1

Abstract

In the last decade, many efforts to solve traffic congestion and sustainable growth issues are going in the direction of research and investments in smart cities and consequently smart mobility. We use the proposed simulation framework is compatible with SUMO 1.1.0. We use it to study multi-modal commuting and parking optimization issues in a state-of-the-art large-scale mobility scenario, and we intend to demonstrate the ease of use and its capabilities.
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DEMO -一个多模式通勤和停车优化的仿真框架
在过去十年中,解决交通拥堵和可持续增长问题的许多努力都朝着智能城市和智能移动的研究和投资方向发展。我们使用的仿真框架是兼容SUMO 1.1.0的。我们用它来研究在最先进的大规模移动场景下的多模式通勤和停车优化问题,我们打算展示它的易用性和功能。
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Remarks on Traffic Signal Coordination DEMO - A Simulation Framework for Multi-modal Commuting and Parking Optimization Low-dimensional estimation and prediction framework for description of the oscillatory traffic dynamics Coupling SUMO with a Motion Planning Framework for Automated Vehicles Analyzing the behavior of bicyclists using a bicycle simulator with a coupled SUMO and DYNA4 simulated environment
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