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Mining human mobility data and social media for smart ride sharing

Conference Paper
Publication Date:
2019
abstract:
People living in highly-populated cities increasingly suffer an impoverishment of their quality of life due to pollution and traffic congestion problems caused by the huge number of circulating vehicles. The focus of this thesis is on improving ride sharing systems as a possible solution to reduce the number of circulating vehicles.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Ride-sharing; Matching Algorithms; Activity-Based; Social Media; Attendance Prediction
List of contributors:
MONTEIRO DE LIRA, VINICIUS CEZAR
Handle:
https://iris.cnr.it/handle/20.500.14243/378634
  • Overview

Overview

URL

https://ieeexplore.ieee.org/document/8788737
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