Non-Subjective Trust Mechanism for Online Ride-Hailing Services

Online ride-hailing services (ORHS) are changing the travel mode. The quality evaluation of ORHS is essential to regulate driver behavior and guide passengers in choosing good services. The existing quality evaluation methods of ORHS rely on subjective passenger feedback, while they are susceptible to malicious or paranoid feedback, resulting in untrustworthy evaluation results. This paper proposes a non-subjective trust mechanism for ORHS to supplement existing evaluation methods. Inspired by the trust machine, this mechanism defines the concept of non-subjective trust to measure the quality of ORHS. It uses trajectory data collected by infrastructure as a parameter to calculate the non-subjective trust value of ORHS, which can ensure the trustworthiness and authenticity of the calculation results. In addition, a blockchain is adopted to store trajectory data and trust values in the infrastructure. It promotes its flexible management and use and ensures the security of data and traceability of evaluation results. Security analysis and extensive experiments show that the trust value calculated by this mechanism is resistant to attacks and trustworthy.