Ride-sharing offers a cheaper means of transportation to riders whose routes are similar to the driver’s route within an acceptable time. It is a new paradigm in the urban road transportation system to reduce traffic and enhances the economy of car owners. Unlike 1-to-n ride-sharing that allows n-rider to share rides with a driver, 1-to-1 ride-sharing does not maximize the advantages of ride-sharing. However, the major challenge of 1-to-n ride-sharing is how to match a minimum number of riders with a driver without compromising their privacy, and solves how to synchronize car owners’ destinations with their riders’ destinations without incurring a delay. Meanwhile, most of the existing ride-sharing schemes are developed for 1-to-1 ride-sharing services, where a rider shares a ride with a driver. In this paper, an effective collaborative ride-sharing scheme is proposed for 1-to-n ride sharing. Our scheme is capable of recommending optimal routes and pick-up points for riders and drivers using their previously visited location’s record. It is also capable of providing a single but centralized ride-sharing public management system for every car owner. Thus, eliminates the inefficient disjointed private carpooling form of 1-to-1 ride sharing. It consists of a trust model that is used for computing trust value for riders and drivers, and a similarity model to compute the similarity between locations and riders or drivers. More so, it allows more than a driver to provide collaborative ride-sharing for a rider in case the rider’s destination is farther than the driver’s destination. The scheme is analyzed, the experimental and analysis results show that our scheme is not only secure but also with low computational latency.


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    Titel :

    A Collaborative 1-to-n On-Demand Ride Sharing Scheme Using Locations of Interest for Recommending Shortest Routes and Pick-up Points


    Weitere Titelangaben:

    Int. J. ITS Res.




    Erscheinungsdatum :

    2021-06-01


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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