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  1. Gated ensemble of spatio-temporal mixture of experts for multi-task learning in ride-hailing system

    Article • Multimodal Transportation, December 2024, Elsevier

    Md. Hishamur Rahman

  2. Linear regression coupled Wasserstein generative adversarial network for direct demand modeling of ride-hailing trips in Chicago and Austin

    Article • Transportation Letters, July 2024, Taylor & Francis

    Md. Hishamur Rahman

  3. Schedule negotiation with ADA paratransit riders under value of time uncertainty

    Article • Transportation Research Part B Methodological, June 2024, Elsevier

    Md. Hishamur Rahman

  4. Integrating dial-a-ride with transportation network companies for cost efficiency: A Maryland case study

    Article • Transportation Research Part E Logistics and Transportation Review, July 2023, Elsevier

    Md. Hishamur Rahman

  5. Effect of socio-economic and demographic factors on ride-sourcing services in Dhaka City, Bangladesh

    Article • Transportation Research Interdisciplinary Perspectives, December 2021, Elsevier

    Md. Hishamur Rahman

  6. Spatio-temporal Deep Learning for Ride-hailing Data with Anonymised Spatial Adjacency Information

    Article • IET Intelligent Transport Systems, May 2021, the Institution of Engineering and Technology (the IET)

    Shakil Rifaat, Md. Hishamur Rahman