Document - Mining human mobility data and social media for smart ride sharing

2019

Conference article Open Access

Mining human mobility data and social media for smart ride sharing

Monteiro De Lira V.

Attendance Prediction Matching Algorithms Ride Matching Algorithms Activity-Based Social Media Banco de dados Aprendizagem de máquina Mídias sociais Ride-sharing

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.

Source: MDM 2019 - 20th IEEE International Conference on Mobile Data Management, pp. 385–386, Hong Kong, China, 10-13 June, 2019

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@inproceedings{oai:it.cnr:prodotti:434158,
	title = {Mining human mobility data and social media for smart ride sharing},
	author = {Monteiro De Lira V.},
	doi = {10.1109/mdm.2019.00-19},
	booktitle = {MDM 2019 -  20th IEEE International Conference on Mobile Data Management, pp. 385–386, Hong Kong, China, 10-13 June, 2019},
	year = {2019}
}