Fourth Year Research Assistant
DynusT lab, CEEM,
The University of Arizona
Email me: email@example.com
· B.S., Civil Engineering, Zhejiang Univeristy, China, 2010. summa cum laude (top 1)
o Honor degree in ACEE 06, CKC college
o 2009 Chu Kochen Scholarship Candidate
· Winter Exchange Program, University of Washington, Seattle, 2009.
· Dynamic Traffic Assignment
· Traffic Simulation
· Network Modeling & Algorithms
· Mei, Z. and Y. Tian, Optimized combination model and algorithm of parking guidance information configuration. EURASIP Journal on Wireless Communications and Networking, 2011. 2011(1): p. 1-9.
· Mei, Z., Y. Tian, and D. Li, Analysis of Parking Reliability Guidance of Urban Parking Variable Message Sign System. Mathematical Problems in Engineering, 2012. 2012.
· Tian, Y. and Y.-C. Chiu, Numerical Analysis for Adaptive Traffic Simulation. Transportation Research Record: Journal of the Transportation Research Board, 2012. 2316(-1): p. 132-139.
· Tian, Y. and Y.-C. Chiu, A Variable Time-discretization Strategies-based, Time-dependent Shortest Path Algorithm for Dynamic Traffic Assignment. Journal of Intelligent Transportation Systems, 2013.
· Ye Tian, Yi-chang Chiu, Yang Gao, Variable time discretization strategy for time dependent shortest path algorithm, IEEE-ITSC Nov 2011.
· Ye Tian, Yi-chang Chiu, Anisotropic Mesoscopic Traffic Simulation Approach to Support Large-Scale Traffic and Logistic Modeling and Analysis, Winter Simulation Conference, Dec 2011.
· Ye Tian, Yi-chang Chiu, On the Concept and Numerical Analysis for Adaptive Traffic Simulation, 91st TRB Annual Meeting, Jan 2012.
· Hyunsoo Noh, Alireza Khani, Mark Hickman, Ye Tian, Yi-Chang Chiu, Jorge Villalobos, “Integrated Vehicle and Passenger Simulation Model Considering a Multimodal Transportation Network”, 2012 Innovations in Traffic Modeling.
· Ye Tian, Yi-chang Chiu, “A Variable Time Discretization Based Time-dependent Shortest Path Algorithm–Experience with Simulation-based Dynamic Traffic Assignment Model”, 92nd TRB Annual Meeting, Jan 2013.
· Ye Tian, Wei-Hua Lin, “An Enhanced Forward Dynamic Programming Approach for the Lot Size Problem with Time-Dependent Demand”, 18th International Conference of Hong Kong Society for Transportation Studies (HKSTS), Dec 2013. (accepted)
· Ye Tian, Yi-chang Chiu, “Computational Efficient Approach to Retaining Zone Pair Travel Time Information in Dynamic Traffic Assignment for Activity-Based Model Integration”, 93rd TRB Annual Meeting, Jan 2014. (accepted)
· Sojung Kim, Hui Xi, Ye Tian, Young-Jun Son, Yi-Chang Chiu, David Yang, “ Hierarchical En-Route Planning under the Extended Belief-Desire-Intention (BDI) Framework”,93rd TRB Annual Meeting, Jan 2014. (accepted)
· Ye Tian, Yi-chang Chiu, Yang Gao, “Variable time discretization strategies for time dependent shortest path algorithm”, INFORMS Annual Meeting, Nov 2011, Charlotte, NC.
· Ye Tian, Yi-chang Chiu, “Anisotropic Mesoscopic Traffic Simulation Approach to Support Large-Scale Traffic and Logistic Modeling and Analysis”, Winter Simulation Conference, Dec 2011, Phoenix, AZ.
· Ye Tian, Yi-chang Chiu, “On the Concept and Numerical Analysis for Adaptive Traffic Simulation”, 91st TRB Annual meeting, Jan 2012, Washington, D.C.
· Ye Tian, Yi-chang Chiu, “A Variable Time Discretization Based Time-dependent Shortest Path Algorithm–Experience with Simulation-based Dynamic Traffic Assignment Model”, 92nd TRB Annual Meeting, Jan 2013, Washington, D.C.
· Evolutionary Agent-based System for Transportation Outlook (VASTO), funded by the USDOT, Federal Highway Administration ($1,224,170, 2011-2014).
o Integrate an agent-based route choice model and a BDI en-route switch model into DynusT package.
o Conduct scenario test for integrated system.
· SHPR2 L35A: Local Methods for Modeling, Economic Evaluation, Justification and Use of the Value of Travel Time Reliability in Transportation Decision Making
o Replace existing DynusT skim generator with the trajectory mining method which is able to produces more accurate skim results using less computing time.
· SHRP2 C10: Partnership to Develop an Integrated Advanced Travel Demand Model and a Fine-grained, Time-Sensitive Network.
o Transfer transit route information into DynusT network.
Last update: 10/13/2013
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