Abstract
In the last decades, the cities' capacity for generating digital information has grown exponentially. In this context, the successful implementation of smart cities' concept depends on the current possibility of handling the significant volumes of sensed data. This is particularly notorious in the case of urban mobility. Researchers in the field of urban planning have shown a great interest in urban mobility problems, proposing different route recommendation services towards making it easier and safer to move around the city. This paper addresses the development of an urban data platform and how to obtain and integrate information from sensors and other data sources to provide aggregated and intelligent views of raw data to support urban mobility. With the aim of evaluating the efficiency of the developed platform, we present an intelligent urban mobility solution, where the context-awareness, user preferences, and environmental factors play a significant role in the process of route planning. Finally, our work provides an experiment to assess different long-range wireless communication technologies to enable its implementation within an urban environment.
Highlights
The EU (European Union) cities face several challenges to ensure secure, affordable, and clean energy, smart electromobility, and intelligent services
The contribution of this work focuses on developing a comprehensive Smart City ecosystem platform, where all of its components interact and collaborate to provide a set of customizable services based on a customizable and parameterizable ontology, as illustrated in the case of multimodal smart mobility
As it can be seen, the Gateway covers a wide are of the surrounding of the UPNA campus, but the high elevation zone causes great losses in the communication with the nodes deployed across the hill, even for short distances from the Gateway
Summary
The EU (European Union) cities face several challenges to ensure secure, affordable, and clean energy, smart electromobility, and intelligent services. The SC platforms provide a set of different real-time data visualization and control panels that help manage the city effectively and make it easier for residents to access and understand the information available. One of the main motivations of this work is to present an integrated solution for sensor systems and environmental sensing, which enables smart services using open data In this sense, the contribution of this work focuses on developing a comprehensive Smart City ecosystem platform, where all of its components interact and collaborate to provide a set of customizable services based on a customizable and parameterizable ontology, as illustrated in the case of multimodal smart mobility.
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