Dynamic carpooling in urban areas: design and experimentation with a multi-objective route matching algorithm

MALLUS, MATTEO;COLISTRA, GIUSEPPE;ATZORI, LUIGI;MURRONI, MAURIZIO;PILLONI, VIRGINIA
2017-01-01

Abstract

This paper focuses on dynamic carpooling services in urban areas to address the needs of mobility in real-time by proposing a two-fold contribution: a solution with novel features with respect to the current state-of-the-art, which is named CLACSOON and is available on the market; the analysis of the carpooling services performance in the urban area of the city of Cagliari through emulations. Two new features characterize the proposed solution: partial ridesharing, according to which the riders can walk to reach the driver along his/her route when driving to the destination; the possibility to share the ride when the driver has already started the ride by modeling the mobility to reach the driver destination. To analyze which features of the population bring better performance to changing the characteristics of the users, we also conducted emulations. When compared with current solutions, CLACSOON allows for achieving a decrease in the waiting time of around 55% and an increase in the driver and passenger success rates of around 4% and 10%, respectively. Additionally, the proposed features allowed for having an increase in the reduction of the CO2 emission by more than 10% with respect to the traditional carpooling service.
2017
2017
Inglese
9
2
1
21
21
http://www.mdpi.com/2071-1050/9/2/254
Esperti anonimi
internazionale
scientifica
Internet of Things; Real-time carpooling; Smart city; Smart transport; Geography, Planning and Development; Renewable Energy, Sustainability and the Environment; Management, Monitoring, Policy and Law
no
Mallus, Matteo; Colistra, Giuseppe; Atzori, Luigi; Murroni, Maurizio; Pilloni, Virginia
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
5
open
Files in This Item:
File Size Format  
sustainability-09-00254-v2.pdf

open access

Type: versione editoriale
Size 910.58 kB
Format Adobe PDF
910.58 kB Adobe PDF View/Open

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

Questionnaire and social

Share on:
Impostazioni cookie