whlin@arizona.edu

520.621.6553

Engineering 227

Full details at profiles.arizona.edu

Wei Hua Lin

Professor of Systems and Industrial Engineering

Professor of Civil and Architectural Engineering and Mechanics

Wei-Hua Lin received the Ph.D. degree in civil engineering from University of California at Berkeley, Berkeley, CA, USA. He is currently a Professor with the Department of Systems and Industrial Engineering, University of Arizona, Tuczon, AZ, USA. He was a Postdoctoral Researcher in the PATH program, University of California at Berkeley. His research interests include optimization in intelligent transportation systems, logistics, and transportation network analysis. Dr. Lin is a past member of the Intelligent Transportation Systems Committee of the Transportation Research Board, National Research Council of the United States.

Interests

Teaching

Transportation engineering, traffic flow theory, traffic operation, logistics, statistical analysis of transportation data, operations research and computer applications in transportation, and transportation network analysis.

Research

Traffic flow modeling, information technologies in transportation, transportation data analysis, transportation network, analysis and modeling, freeway incident management, application of advanced technologies in transit operations, and application of computer simulation to transportation analysis.

Selected Publications

Journals/Publications

Xue, Z., Lin, W., Miao, L., & Zhang, C. (2014). Local container drayage problem with tractor and trailer operating in separable mode. Flexible Services and Manufacturing Journal, 1-20.
Xue, Z., Zhang, C., Lin, W., Miao, L., & Yang, P. (2014). A tabu search heuristic for the local container drayage problem under a new operation mode. Transportation Research Part E: Logistics and Transportation Review, 62, 136-150.
Chen, C., Liu, Z., Lin, W., Shuangshuang, L. i., & Wang, K. (2013). Distributed modeling in a mapreduce framework for data-driven traffic flow forecasting. IEEE Transactions on Intelligent Transportation Systems, 14(1), 22-33.
Cheng, Y., Tan, J., & Lin, W. (2013). Allocating the cost of empty railcar miles in a dynamic railroad network. International Journal of Shipping and Transport Logistics, 5(3), 350-366.
Lei, C., Lin, W. H., & Miao, L. (2013). The stochastic emergency service vehicle re-routing problem. Proceedings of the 18th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2013 - Travel Behaviour and Society, 625-632.
Lei, C., Lin, W., Miao, L., & Mingyao, Q. i. (2013). Stochastic mobile facility routing and scheduling problem. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 1823-1828.
Lo, H. K., Kun, A. n., & Lin, W. (2013). Ferry service network design under demand uncertainty. Transportation Research Part E: Logistics and Transportation Review, 59, 48-70.
Tong, D., Lin, W., & Stein, A. (2013). Integrating the Directional Effect of Traffic into Geostatistical Approaches for Travel Time Estimation. International Journal of Intelligent Transportation Systems Research, 11(3), 101-112.
Xue, Z., Zhang, C., Miao, L., & Lin, W. (2013). An ant colony algorithm for yard truck scheduling and yard location assignment problems with precedence constraints. Journal of Systems Science and Systems Engineering, 22(1), 21-37.
Mingyao, Q. i., Lin, W., Nan, L. i., & Miao, L. (2012). A spatiotemporal partitioning approach for large-scale vehicle routing problems with time windows. Transportation Research Part E: Logistics and Transportation Review, 48(1), 248-257.
Wangtu, X. u., Miao, L., & Lin, W. (2012). Stochastic user equilibrium assignment in schedule-based transit networks with capacity constraints. Discrete Dynamics in Nature and Society, 2012.
Lin, W., & Tong, D. (2011). Vehicle re-identification with dynamic time windows for vehicle passage time estimation. IEEE Transactions on Intelligent Transportation Systems, 12(4), 1057-1063.
Lin, W., Lo, H. K., & Xiao, L. (2011). A quasi-dynamic robust control scheme for signalized intersections. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 15(4), 223-233.
Zhang, J., Wang, F., Wang, K., Lin, W., Xin, X. u., & Chen, C. (2011). Data-driven intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 12(4), 1624-1639.
Gan, M., & Lin, W. (2010). The effect of demand representation on locating facilities in a supply chain network. Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010, 189-194.