A fairness-aware joint pricing and matching framework for dynamic ridesharing

Ze Zhou*, Claudio Roncoli

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

1 Sitaatiot (Scopus)
40 Lataukset (Pure)

Abstrakti

Enabled by the prevailing mobile devices, novel mobility services, such as ridesharing, have a great potential to change the mobility pattern of metropolis inhabitants. In this study, we focus on the pricing and matching challenges faced by a mobility service platform when both ridesharing and non-shared mobility services are provided. A joint pricing and matching framework is proposed to efficiently dispatch vehicles and deliver explicit trip time and fare information in real-time. Besides, we define six principles to evaluate the fairness of pricing methods and develop a discount function considering the features of passengers’ shared rides. In simulation experiments where passengers can choose from different service types, we show that our method can significantly increase the system’s profit without violating the fairness principles among co-riders.
AlkuperäiskieliEnglanti
Otsikko2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023
KustantajaIEEE
Sivumäärä6
ISBN (elektroninen)978-1-6654-5530-5
DOI - pysyväislinkit
TilaJulkaistu - 11 syysk. 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Models and Technologies for Intelligent Transportation Systems - Nice, Ranska
Kesto: 14 kesäk. 202316 kesäk. 2023
Konferenssinumero: 8
https://mt-its2023.eurecom.fr/

Conference

ConferenceIEEE International Conference on Models and Technologies for Intelligent Transportation Systems
LyhennettäMT-ITS
Maa/AlueRanska
KaupunkiNice
Ajanjakso14/06/202316/06/2023
www-osoite

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