The group’s research on transportation network modeling aims to investigate fundamental theoretical, algorithmic, and computational issues of dynamic traffic network modeling problems to facilitate the development of efficient and effective network-wide system management strategies. The recent focus is on modeling and solving these problems in continuous time, and considering how emerging technologies may transform the way the problems are formulated.

Cyber Enabled Discovery System for Advanced Multidisciplinary Study of Humanitarian Logistics for Disaster Response

This project is concerned with the development of an integrative “Cyber Enabled Discovery System for Advanced Multidisciplinary Study of Humanitarian Logistics for Disaster Response.” As part of the work, transportation, computer, mathematical, and social scientists will collaborate to:

  1. create new paradigms of humanitarian logistic (HL) models that explicitly consider two key aspects not studied by current techniques: deprivation costs (DC), and material convergence (MC);
  2. develop appropriate models to represent human suffering as a DC;
  3. explicitly consider DC in the key HL decision models;
  4. develop analytical models to quantify/influence the amount, type, and arrival patterns of donations;
  5. gain insight into the links between media framing of needs and MC;
  6. define mechanisms to modify donor behavior; and,
  7. develop algorithms and heuristics to solve the formulations developed.