A predictive vehicle ride sharing recommendation system for smart cities commuting
Authors: Anagnostopoulos, Theodoros 
Issue Date: 1-Mar-2021
Journal: Smart Cities 
Volume: 4
Issue: 1
Keywords: Artificial intelligence, Prediction, Recommendation, Smart cities, User commuting, Vehicle ride sharing
Abstract: 
Smart Cities (or Cities 2.0) are an evolution in citizen habitation. In such cities, trans-port commuting is changing rapidly with the proliferation of contemporary vehicular technology. New models of vehicle ride sharing systems are changing the way citizens commute in their daily movement schedule. The use of a private vehicle per single passenger transportation is no longer viable in sustainabl...
ISSN: 2624-6511
DOI: 10.3390/smartcities4010010
URI: https://uniwacris.uniwa.gr/handle/3000/2686
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

CORE Recommender
Show full item record

SCOPUSTM   
Citations

18
checked on Apr 1, 2025

Page view(s)

44
checked on Apr 3, 2025

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.