Abstract: Hundreds of millions of people travel in vehicles every day around the world. How to improve road safety and efficiency using cyber technologies (such as connected vehicles) is a critical issue in today’s society. We have been working on a NSF cyber physical system (CPS) project that addresses some key challenges in the design and evaluation of cyber transportation systems (CTS), taking into consideration issues related to human-factors.

Abstract: The current project, collaboration between the MIT and the University of Michigan, concerns the development of complex models to describe driver decision making at intersections.  MIT is focused on modeling and Michigan on data collection and method development. Two experiments have been conducted so far (24 subjects/experiment) using a NADS MiniSim driving simulator for which extensive programming was required.  Subjects drove through 2 sets of 70 intersections following a lead vehicle (and being followed).

Abstract: We  developed  an  analytical  and  computational  framework  for  vulnerability analysis of dynamical power networks to link and node-based attacks.   For stochastic link failure attacks, we provided a systematic procedure for ranking links  (transmission  lines)  of  power  network  in  the  order  of  their  critical importance to maintain synchronization among network generators.