A bike traffic analyzer for the determination of cycle lanes

Leo Ordínez,Damián Barry, Alex Torrico, Emanuel Mallon, Jose Luis Devia, Lucas Abella, Nahuel Alamo

2017 36th International Conference of the Chilean Computer Science Society (SCCC)(2017)

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摘要
This paper presents the construction of a tool for the analysis of cyclist traffic in a medium sized city, such as Puerto Madryn. For this, an application domain model for the cyclist traffic is elaborated. The objective of the model is to build the knowledge that allows to determine the most suitable routes to place in that city cycle lanes. The nucleus of the proposal is the analysis of information of trips, that allow to synthesize journeys with their respective lengths, frequencies, densities and weights. In addition to the theoretical model, a tool for analysis of captured data and a generator of synthetic trips is presented.
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关键词
big data analytics,spatio-temporal data,cycle lane,urbanism,collaborative systems
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