无监督标注城市交通地图生成

Rohit Verma, Surjya Ghosh, Aviral Shrivastava, Niloy Ganguly, Bivas Mitra, Sandip Chakraborty
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引用次数: 8

摘要

在印度这样的国家,许多城市的公共汽车服务都是由私人所有者控制的,因此,为所有公共汽车路线建立一个数据库是非常有意义的。在本文中,我们利用基于智能手机的传感来众包和填充城市公交路线信息库。我们开发了智能手机的智能数据记录模块和服务器端处理机制来提取道路和公交路线信息。我们对印度3个不同城市的30多名志愿者进行了为期3个月的研究,发现开发的系统CrowdMap可以在平均误差为10米的情况下标注公交路线,而与基于连续GPS的系统相比,消耗的能量减少了80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unsupervised annotated city traffic map generation
Public bus services in many cities in countries like India are controlled by private owners, hence, building up a database for all the bus routes is non-trivial. In this paper, we leverage smart-phone based sensing to crowdsource and populate the information repository for bus routes in a city. We have developed an intelligent data logging module for smart-phones and a server side processing mechanism to extract roads and bus routes information. From a 3 month long study involving more than 30 volunteers in 3 different cities in India, we found that the developed system, CrowdMap, can annotate bus routes with a mean error of 10m, while consuming 80% less energy compared to a continuous GPS based system.
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