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On the use of city bikes to make the city even smarter

机译:关于城市自行车的使用使城市更聪明

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These last years have witnessed the rise of the smart cities and several mechanisms to render the cities more sustainable and more energy-efficient. Among all different aspects is transportation and urban bike development. Besides the growing enthusiast provoked by bicycles and the benefit for health they bring, there still exists some reluctance in using bikes because of safety, road state, weather, etc. To counter-balance these feelings, there is a need to better understand bicycle users habits, path, road utilization rate in order to improve the bicycle path quality. In this perspective, in this paper, we propose to deploy a set of mobile sensors on bicycles to gather this different data and to exploit them to make the bike easier and make people want to ride bicycles more often. Such a network will also be useful for several entities like city authorities for road maintenance and deployment, doctors and environment authorities, etc. Based on such a framework, we propose a first basis model that help to dimension the network infrastructure and the kind of data to be real time gathered from bikes. More specifically, we present a theoretical model that computes the quantity of data a bike will be able to send along a travel and the quantity of data a base station should be able to absorb. We have based our study on real data to provide first numerical results and be able to draw some preliminary conclusions and open new research directions.
机译:最后几年目睹了智能城市的崛起和几种机制,使城市更加可持续,更节能。在所有不同方面,都是运输和城市自行车发展。除了自行车引发的越来越多的爱好者以及他们带来的健康益处,由于安全,道路状态,天气等,使用自行车仍然不愿意抵消这些感受,需要更好地了解自行车用户习惯,路径,道路利用率,以提高自行车路径质量。在这种观点中,在本文中,我们建议在自行车上部署一组移动传感器,收集这种不同的数据并利用它们使自行车更容易,让人们更频繁地骑自行车。根据这样的框架,这种网络也将对像城市当局这样的公路维护和部署,医生和环境当局等有用。我们提出了一个有助于维度维护网络基础设施和数据类型的第一个基础模型真正的时间从自行车收集。更具体地,我们介绍了一种理论模型,其计算自行车将能够沿着行程发送的数据量并且基站应该能够吸收的数据量。我们基于我们对实际数据的研究提供了第一个数字结果,并能够了解一些初步结论并开放新的研究方向。

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