在Robocar世界锦标赛框架下，使用众感信息进行交通模拟

2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2015-10-01 DOI:10.1109/COGINFOCOM.2015.7390614

Renátó Besenczi, M. Szilágyi, Norbert Bátfai, Andras Mamenyak, I. Oniga, M. Ispány

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引用次数: 3

摘要

智慧城市应用有望在城市交通管理中发挥重要作用。智能交通解决方案似乎不可避免地要控制道路负荷的预期增长。在本文中，我们提出了一个硬件和软件的组合，使我们能够模拟交通情况。通过将指定的硬件组件组装到汽车中，实时进行测量。模拟本身在Robocar世界锦标赛系统中实现，或者更准确地说在Robocar城市模拟器中实现。我们将证明该系统适合创建基于众感数据的仿真。

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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Using crowdsensed information for traffic simulation in the Robocar World Championship framework

Smart city applications are expected to play an important role in city traffic management. Smart traffic solutions seem inevitable to manage expected growths in road loads. In this paper, we present a combination of hardware and software which allows us to simulate traffic situations. The measurement occurs in real-time with a designated hardware component assembled into cars. The simulation itself is implemented within the Robocar World Championship system, or more precisely within the Robocar City Emulator. We will show that this system is suitable to create such a simulation based on crowdsensed data.

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2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

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