交通411:内罗毕交通拥堵路由和感知平台

Andrew Kinai, R. Bryant, Aisha Walcott-Bryant, Eric Mibuari, Komminist Weldemariam, O. Stewart
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引用次数: 0

摘要

根据联合国人居署的数据,内罗毕市每天因道路拥堵而损失50万美元,而这座城市的设计规模是这座城市的十分之一。为了解决内罗毕的交通拥堵问题,我们开发了一个名为traffic 411的平台,为司机提供实时交通和路线信息。Traffic 411结合了当地的相关环境(如参考地标)来预测拥堵并建立交通意识。我们的工作扩展了IBM东京研究实验室(TRL)开发的一种名为“节俭创新”的新方法,在该方法中,仅覆盖内罗毕3.5%道路的网络摄像头用于评估交通状况。我们在内罗毕部署了Traffic 411平台,我们的初步评估表明,Traffic 411增强了驾驶体验,可以在类似的城市部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic 411: a traffic congestion routing and awareness platform for Nairobi
According to UN-HABITAT, the city of Nairobi loses half a million USD daily due to congestion on roads designed for a city 10 times smaller. To address the traffic congestion problem in Nairobi, we develop a platform called Traffic 411 that provides drivers with real-time traffic and routing information. Traffic 411 incorporates locally relevant context (such as references to landmarks) to predict congestion and create traffic awareness. Our work extends a novel approach called Frugal Innovation developed at the IBM Tokyo Research Lab (TRL), where Web cameras covering only 3.5% of the roads in Nairobi are used to estimate traffic conditions. We deployed the Traffic 411 platform in Nairobi and our initial evaluation indicates that Traffic 411 enhances the driving experience and can be deployed in similar cities.
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