This review paper provides an overview of the techniques and approaches employed in the detection of fraudulent taxi drivers. By analyzing various studies and methodologies, the significance of addressing this issue in the transportation industry is highlighted. Different approaches, including anomaly detection techniques, machine learning algorithms, and network analysis, are discussed in the context of identifying suspicious patterns and behaviors exhibited by fraudulent taxi drivers. The utilization of large-scale transaction data, GPS data, and other relevant information is emphasized for effective fraud detection. The effectiveness of techniques such as clustering, classification, outlier detection, and feature selection in detecting anomalies and fraudulent activities in taxi services is explored. The integration of spatial, temporal, and cost factors is shown to enhance the accuracy and efficiency of fraud detection systems. However, challenges such as the evolving nature of fraudulent tactics, real-time detection requirements, and privacy concerns associated with data collection and analysis persist. Further research and development efforts are necessary to address these challenges and advance the field of detecting fraudulent taxi drivers. Overall, this paper provides a valuable overview of the techniques and approaches employed in the detection of fraudulent taxi drivers, enabling transportation authorities and service providers to proactively combat fraudulent activities, enhance passenger safety, and maintain the integrity of the taxi industry.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detecting Fraudulent Taxi Drivers: Overview


    Contributors:


    Publication date :

    2023-07-04


    Size :

    428822 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Taxi Drivers’ Cruising Patterns—Insights from Taxi GPS Traces

    Zong, Fang / Wu, Ting / Jia, Hongfei | IEEE | 2019



    Fatigue levels of minibus-taxi drivers

    Sonderling, N. E. / Coetzee, C. | British Library Conference Proceedings | 1994



    Analysis of Taxi Drivers' Behaviors Within a Battle Between Two Taxi Apps

    Leng, Biao / Du, Heng / Wang, Jianyuan et al. | IEEE | 2016