Dynamic Carpooling in Urban Areas: Design and Experimentation with a Multi-Objective Route Matching Algorith

Matteo Mallus, Giuseppe Colistra, Luigi Atzori, Maurizio Murroni and Virginia Pilloni
Additional contact information
Matteo Mallus: Dipartimento di Ingegneria Elettrica ed Elettronica (DIEE), University of Cagliari, 09123 Cagliari, Italy
Giuseppe Colistra: Dipartimento di Ingegneria Elettrica ed Elettronica (DIEE), University of Cagliari, 09123 Cagliari, Italy
Luigi Atzori: Dipartimento di Ingegneria Elettrica ed Elettronica (DIEE), University of Cagliari, 09123 Cagliari, Italy
Maurizio Murroni: Dipartimento di Ingegneria Elettrica ed Elettronica (DIEE), University of Cagliari, 09123 Cagliari, Italy
Virginia Pilloni: Dipartimento di Ingegneria Elettrica ed Elettronica (DIEE), University of Cagliari, 09123 Cagliari, Italy

Sustainability, 2017, vol. 9, issue 2, 1-21

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 modelling the mobility to reach the driver destination. To analyse 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.

Keywords: real-time carpooling; smart city; Internet of Things; smart transport (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.mdpi.com/2071-1050/9/2/254/pdf (application/pdf)
https://www.mdpi.com/2071-1050/9/2/254/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:9:y:2017:i:2:p:254-:d:89980

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().