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  • Open Access

    ARTICLE

    PAV-A-kNN: A Novel Approachable kNN Query Method in Road Network Environments

    Kailai Zhou*, Weikang Xia, Jiatai Wang

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3217-3240, 2025, DOI:10.32604/cmc.2025.065334 - 03 July 2025

    Abstract Ride-hailing (e.g., DiDi and Uber) has become an important tool for modern urban mobility. To improve the utilization efficiency of ride-hailing vehicles, a novel query method, called Approachable k-nearest neighbor (A-kNN), has recently been proposed in the industry. Unlike traditional kNN queries, A-kNN considers not only the road network distance but also the availability status of vehicles. In this context, even vehicles with passengers can still be considered potential candidates for dispatch if their destinations are near the requester’s location. The V-Tree-based query method, due to its structural characteristics, is capable of efficiently finding k-nearest moving objects within… More >

  • Open Access

    ARTICLE

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

    Zeinab Shahbazi, Yung-Cheol Byun*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4429-4446, 2022, DOI:10.32604/cmc.2022.019755 - 11 October 2021

    Abstract One of the common transportation systems in Korea is calling taxis through online applications, which is more convenient for passengers and drivers in the modern area. However, the driver's passenger taxi request can be rejected based on the driver's location and distance. Therefore, there is a need to specify driver's acceptance and rejection of the received request. The security of this system is another main core to save the transaction information and safety of passengers and drivers. In this study, the origin and destination of the Jeju island South Korea were captured from T-map and More >

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