On Combining Crowdsourcing, Sensing and Open Data for an Accessible Smart City
On Combining Crowdsourcing, Sensing and Open Data for an Accessible Smart City
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结合众包、传感和开放数据打造无障碍智慧城市
DOI：
10.1109/ngmast.2014.59
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
A. Campi
中科院分区：
文献类型：
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作者：
S. Mirri;Catia Prandi;P. Salomoni;F. Callegati;A. Campi
本文提出了一种基于OpenStreetMap的地理空间地图服务，旨在为有特殊需求的用户提供个性化的路径。该系统通过用户进行的人群外包和感知来收集与城市环境的障碍和设施相关的数据。它还考虑了巴士运营公司提供的公开数据，以确定巴士的实际可达性特征和到达车站的实时时间。由此产生的服务支持行动不便的公民(残疾人和/或老年人)建议他们可到达的城市道路，并提供与旅行时间有关的信息，这些信息是根据他们的移动能力和公共汽车到达时间量身定做的。这份手稿通过一个案例研究证明了该方法的有效性，该案例研究侧重于本系统提供的解决方案与主流地理空间测绘服务计算的解决方案之间的差异。
This work presents a novel geospatial mapping service, based on OpenStreetMap, which has been designed and developed in order to provide personalized path to users with special needs. This system gathers data related to barriers and facilities of the urban environment via crowd sourcing and sensing done by users. It also considers open data provided by bus operating companies to identify the actual accessibility feature and the real time of arrival at the stops of the buses. The resulting service supports citizens with reduced mobility (users with disabilities and/or elderly people) suggesting urban paths accessible to them and providing information related to travelling time, which are tailored to their abilities to move and to the bus arrival time. The manuscript demonstrates the effectiveness of the approach by means of a case study focusing on the differences between the solutions provided by our system and the ones computed by main stream geospatial mapping services.