RT Journal Article
T1 Enabling customizable services for multimodal smart mobility with city-platforms
A1 Al-Rahamneh, Anas
A1 Astrain Escola, José Javier
A1 Villadangos, Jesús
A1 Klaina, Hicham
A1 Picallo Guembe, Imanol
A1 López Iturri, Peio
A1 Falcone Lanas, Francisco
K1 3325 Tecnología de las Telecomunicaciones
K1 3329 Planificación Urbana
AB 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.
PB IEEE Access
SN 21693536
YR 2021
FD 2021-03-19
LK http://hdl.handle.net/11093/2456
UL http://hdl.handle.net/11093/2456
LA eng
NO IEEE Access, 9: 41628-41646 (2021)
NO Ministerio de Ciencia, Innovación y Universidades | Ref. RTI2018-095499-B-C31
DS Investigo
RD 13-oct-2024