Towards a Knowledge-Driven Framework of Cyber-Physical Social System for Multidimensional Urban Mobility

Autor: Raymond Houé, Mohammed Hedi Karray, Muhammad Ali Memon, Faheem Ahmed Abbasi, Bernard Archimède
Rok vydání: 2020
Předmět:
Zdroj: Advances in Data Science and Adaptive Analysis. 12:2041005
ISSN: 2424-9238
2424-922X
DOI: 10.1142/s2424922x20410053
Popis: This paper focuses on the proposed generic framework of Cyber-Physical Social Systems (CPSS) for Multidimensional Urban Mobility (MUM). The introduction of air mobility will increase the complexity of urban mobility management due to the increase of data (real-time information exchange), services, and infrastructure. This paper first summarizes the shift of the smart mobility and associated concerns and emphasizes the smart technologies to be introduced for efficient deployment of the MUM. Afterwards, the state-of-the-art on CPSS present the details of the research work in the context of CPSS data management process and challenges related with data. In conclusion, a framework to address the various challenges associated with the data paradigm is proposed.
Databáze: OpenAIRE