Dynamic Carpooling in Urban Areas: Design and Experimentation with a Multi-Objective Route Matching Algorith
AbstractThis 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. View Full-Text
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Mallus, M.; Colistra, G.; Atzori, L.; Murroni, M.; Pilloni, V. Dynamic Carpooling in Urban Areas: Design and Experimentation with a Multi-Objective Route Matching Algorith. Sustainability 2017, 9, 254.
Mallus M, Colistra G, Atzori L, Murroni M, Pilloni V. Dynamic Carpooling in Urban Areas: Design and Experimentation with a Multi-Objective Route Matching Algorith. Sustainability. 2017; 9(2):254.Chicago/Turabian Style
Mallus, Matteo; Colistra, Giuseppe; Atzori, Luigi; Murroni, Maurizio; Pilloni, Virginia. 2017. "Dynamic Carpooling in Urban Areas: Design and Experimentation with a Multi-Objective Route Matching Algorith." Sustainability 9, no. 2: 254.
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