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SocialCar data model and algorithms

The project software experts working on SocialCar have released the data model for its platform, representing a multilayer temporal network for both public and private transport. The proposed data model describes users in movement offering transport and users requesting transport services. It also includes information about their reliability and trust in the use and provision of carpooling services. The paper also contains a description of the algorithms to be used in the SocialCar platform. It describes the dynamic route planning, ride matching, tracking and destination tagging algorithms. It also defines the algorithms to measure and update user reputation, and the reward and incentive mechanisms. The paper is available for download below.