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Titlebook: Simulating Urban Traffic Scenarios; 3rd SUMO Conference Michael Behrisch,Melanie Weber Conference proceedings 2019 Springer International

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发表于 2025-3-21 19:36:06 | 显示全部楼层 |阅读模式
书目名称Simulating Urban Traffic Scenarios
副标题3rd SUMO Conference
编辑Michael Behrisch,Melanie Weber
视频video
丛书名称Lecture Notes in Mobility
图书封面Titlebook: Simulating Urban Traffic Scenarios; 3rd SUMO Conference  Michael Behrisch,Melanie Weber Conference proceedings 2019 Springer International
描述This contributed volume contains the conference proceedings of the Simulation of Urban Mobility (SUMO) conference 2015, Berlin. The included papers cover a wide range of topics in traffic planning and simulation, including intermodal simulation, intermodal transport, vehicular communication, modeling urban mobility, open data as well as autonomous driving. The target audience primarily comprises researchers and experts in the field of mobility research, but the book may also be beneficial for graduate students.
出版日期Conference proceedings 2019
关键词Multimodal Traffic; SUMO 2015; Traffic Simulation; Urban Mobility Modeling; Vehicular Communication; comp
版次1
doihttps://doi.org/10.1007/978-3-319-33616-9
isbn_softcover978-3-030-13246-0
isbn_ebook978-3-319-33616-9Series ISSN 2196-5544 Series E-ISSN 2196-5552
issn_series 2196-5544
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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A SUMO Extension for Norm-Based Traffic Control Systemsorm-based traffic controllers to traffic simulations. In our extension, named TrafficMAS, vehicles are capable of making an autonomous decision on whether to comply with norms. We provide a description of the extension, a summary on its implementation and demonstrative experiments.
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Connecting Macroscopic and Microscopic Traffic Assignmenttarting solution for the more precise microscopic approach from the coarse macroscopic solution. In addition, a new tool from the SUMO suite and some first results of applying the schema to the city of Berlin are presented.
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2196-5544 n, modeling urban mobility, open data as well as autonomous driving. The target audience primarily comprises researchers and experts in the field of mobility research, but the book may also be beneficial for graduate students.978-3-030-13246-0978-3-319-33616-9Series ISSN 2196-5544 Series E-ISSN 2196-5552
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Connecting Macroscopic and Microscopic Traffic Assignmentation which are implemented in SUMO. This paper compares the different approaches and implementations and shows how to combine them to derive a good starting solution for the more precise microscopic approach from the coarse macroscopic solution. In addition, a new tool from the SUMO suite and some
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