Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning.

Asad, Syed Muhammad; Ahmad, Jawad; Hussain, Sajjad; Zoha, Ahmed; Abbasi, Qammer Hussain; Imran, Muhammad Ali

Asad, Syed Muhammad; Ahmad, Jawad; Hussain, Sajjad; Zoha, Ahmed; Abbasi, Qammer Hussain; Imran, Muhammad Ali.

Afiliación

Asad SM; James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Ahmad J; School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK.
Hussain S; James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Zoha A; James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Abbasi QH; James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Imran MA; James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.

Sensors (Basel) ; 20(9)2020 May 05.

Article en En | MEDLINE | ID: mdl-32380656

Palabras clave

5G; RFID sensors; artificial intelligence; encryption; machine learning; mobility predictions; optimisation; passenger pathways; smart city planning; transportation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

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