Faculty Candidate for the Zhejiang-University of Illinois at Urbana-Champaign Institute (ZJUI)
Optimal Learning and Strategic Information Provision
for Smart and Sustainable Transportation Systems
Zhen Tan, Cornell University
Friday, March 30, 2018
1311 Newmark Civil Engineering Laboratory
We studied problems in modern transportation systems based on proper utilization of different types of information in various ways. Specifically, we proposed novel methodologies and generated new insights using concrete applications for the following dimensions: 1) Value of information and sampling-based approach in solving network optimization problems with uncertainty. 2) Utilization of system data and forecast for real-time control of complex human-centered infrastructure systems. 3) Remedy of inaccurate travel time estimate on dynamic routing using additional information. 4) Strategic information scheme design for flow improvement on traffic networks. Our study provides useful references, practical solutions and new thinking for existent nontrivial problems and emerging challenges in transportation operations and planning under the information age and unprecedented demand for smart and sustainable mobility.
Zhen Tan is currently a fifth year PhD student in the Department of Civil and Environmental Engineering at Cornell University with minors in Applied Mathematics, Operations Research and Information Engineering. He received the B.S. degree in Transportation Engineering from Tongji University and the M.S. degree in Civil Engineering from Zhejiang University. His current research interests include optimal learning and convex optimization for traffic network- management problems, modeling and control of coupled transport-environment systems, and novel solutions for smart and sustainable urban systems.