Now showing items 1-3 of 764

    • Neural-embedded discrete choice models 

      Han, Yafei. (Massachusetts Institute of Technology, 2019)
      This dissertation is motivated by the possible value of integrating theory-based discrete choice models (DCM) and data-driven neural networks. How to benefit from the strengths of both is the overarching question. I propose ...
    • Real-time personalized toll optimization based on traffic predictions 

      Zhang, Yundi. (Massachusetts Institute of Technology, 2019)
      Road pricing is a traffic congestion management strategy that alters traffic demand and raises funds for transportation supply improvements. Compared to static pricing and reactive dynamic pricing, proactive dynamic pricing ...
    • A container-based lightweight fault tolerance framework for high performance computing workloads 

      Sindi, Mohamad(Mohamad Othman) (Massachusetts Institute of Technology, 2019)
      According to the latest world's top 500 supercomputers list, ~90% of the top High Performance Computing (HPC) systems are based on commodity hardware clusters, which are typically designed for performance rather than ...