Professor of Transportation System Engineering
The University of Arizona
Founder of Metropia, Inc.
I obtained my Transportation System Engineering PhD degree from the University of Texas at Austin in 2002. I had a great time at the University of Texas at El Paso from 2002 to 2006. Since 2010 I have been an Associate Professor at the Department of Civil Engineering and Engineering Mechanics at the University of Arizona and I founded Metropia, Inc. in 2012.
I started my academic career focusing in the area of simulation-based dynamic traffic assignment (DTA). I have been a principal developer and consultant to the US FHWA on the Dynamic Traffic Assignment (DTA) program in the 2010s. One of the hallmark tools originating from my research career is DynusT, a simulation-based DTA model that is widely used internationally.
My quest to solving the urban mobility challenges led to the creation of Metropia in 2012. Metropia is an information and incentive-based personal mobility and transportation system management platform aiming to bring Mobility-as-a-Service and Tools (MaaS&T) for future urban mobility management. Metropia utilizes real-time traffic and incident data and advanced traffic prediction and incentive algorithms to predict future traffic conditions and to use dynamically adjusted incentives pricing as a mechanism to shift demand to less congested times, routes, and various mobility options.
Director: DynusT Laboratory
Founder: Metropia Inc.
Member: TRB ABD30 Network Modeling Committee
Member: TRB ABN Emergency Evacuation
Associate Editor: International Journal of Transportation Science and Technology
Urban System and Transportation System Dynamics.
Hybrid and Multi-Resolution Simulation Assignment Modeling Approaches.
Large-scale regional evacuation modeling and decision support system design.
Intelligent Transportation Systems (ITS): real-time vehicle guidance, autonomous, decentralized, hybrid vehicle routing, advanced traveler information system, design and evaluation of ITS deployment, dynamic traffic assignment, and traffic estimation and prediction using advanced sensing technologies.
Transportation system operations and controls: corridor management, real-time system operation and design, operations and performance of Dynamic Message Signs.
Urban transportation planning: network equilibrium, dynamic traffic assignment combined with activity-based analysis, congestion pricing, network reliability.
Telecommunication technologies in ITS applications: decision support systems for technology deployment.
Large-scale intermodal freight transportation systems modeling – intermodal facility locations, operations and traffic management.
Transportation Engineering, the University of Texas at Austin
Dissertation: Generalized Real-Time Route Guidance Strategies in Urban Networks
Advisor: Prof. Hani S. Mahmassani
Transportation Engineering, National Chiao-Tung University
Thesis: Forecasting Potential Demand for Electric Motorcycles
Advisor: Prof. Gwo-Hshiung Tzeng
Civil Engineering, National Taiwan University