Blockchain and Machine Learning for Intelligent Multiple Factor-Based Ride-Hailing Services

One of the common transportation systems in Korea is calling taxis through online applications, which more convenient for passengers and drivers modern area. However, driver's passenger taxi request can be rejected based on location distance. Therefore, there a need to specify acceptance rejection received request. The security this system another main core save transaction information safety drivers. In study, origin destination Jeju island South were captured from T-map processed machine learning decision tree XGBoost techniques. blockchain framework implemented Hyperledger Fabric platform. experimental results represent features socio-economic. cross-validation was accomplished. Distance factor trip, total trip midnight quite shorter. This process presents successful matching ride-hailing services with specialty distance, request, city measurement.