日期:12/06/2018 点击量: 406次
A.Prof.Ming Wei
Nantong University,China
Research Area: Transportation
RESEARCH AND TEACHING INTERESTS
•Traffic Flow Theory:fluid models for traffic;traffic state esitmation and prediction
•Bus Optimization: network design;timetable;bus/driver scheduling
•ITS: traffic signal control platform; optimization system of integrated public transit network based on GIS; Operation scheduling analysis platform for bus
RESEARCH FUNDING
•Principal Investigator. A Dynamic scheduling decision method for urban public transport based on Bayesian network. National Natural Science Foundation of China, 2016/01-2018/12.( RMB 220k)
•Principal Investigator. Bayesian network decision model for dynamic scheduling of urban public transport and its application.Science and technology project of Nantong,2014/01-2015/12. ( RMB 20k)
•Principal Investigator. Modeling and Simulation of urban public traffic dynamic scheduling based on Intelligent Coordinated Control Theory. Postdoctoral foundation project of China, 2013/01-2015/12. ( RMB 80k)
•Principal Investigator. Microscopic simulation of traffic flow in Mountainous City. University Natural Science Foundation of Jiangsu,2013/01-2014/12. ( RMB 32k)
•Principal Investigator. Cooperative mechanism and coupling theory of public transit oriented multi mode transportation network. State Key Development Program of (for) Basic Research of China,2014/01-2016/12. ( RMB 80k)
•Participant. Data mining technology of intelligent public transportation system. Traffic science and technology project of Jiangsu,2013/01-2014/12. ( RMB 200k)
•Participant.Scheduling system development for Public transportation operation analysis and optimization. The company's commissioned projects to Guangzhou second bus companies,2011/01-2012/12. ( RMB 200k)
•Participant.Integrated public transportation network operation optimization technology.National High Technology Research and Development Program of China,2009/07-2011/12. ( RMB 800k)
PUBLICATIONS
1、Wei M, Sun B,Wang H,Xu ZH. A Multi-Attribute Decision-Making Model for the Evaluation of Uncertainties in Traffic Pollution Control Planning Environmental Science and Pollution Research, Environmental Science and Pollution Research, accepted, 2017.
2、Wei M, Sun B Sun R.Bi-level programming model for multi-modal regional bus scheduling problems with stochastic travel times, Cluster Comput, accepted, 2017.
3、Wei M, Sun B.Bi-level programming model for multi-modal regional bus scheduling problems with stochastic travel times, Cluster Comput, accepted, vol. 20, no. 1, pp. 1–11,2017.
4、Wei M, Sun B. An Arterial Green-Wave Synchronous Coordination Model for Bus and Non-bus Lanes Based on Platoon Dispersion Theory, Wireless Personal Communications, vol. 95, no. 3, pp. 2091–2109,2017.
5、Wei M, Dai QX. A prediction model for traffic emission based on interval-valued intuitionistic fuzzy sets and case-based reasoning theory, Journal of Intelligent and Fuzzy Systems, vol. 31, no. 6, pp. 2689–2696, 2016.
6、Wei M, Li Y. Collaborative ant colony algorithm for online regional bus scheduling, Journal of Intelligent and Fuzzy Systems, vol. 31, no. 6, pp. 2689–2696, 2016.
7、Wei M, Chen X W,Sun B.Model and algorithm for resolving regional bus scheduling problems with fuzzy travel times, Journal of Intelligent and Fuzzy Systems, vol. 29, no. 6, pp. 2689–2696, 2015.
8、Wei M, Chen X W,Sun B.Model and algorithm for bus gas station site layout optimization problem, Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, vol. 15, no. 3, pp. 160–165 and 178, 2015.
9、Wei M, Chen X W,Sun B.Multi-objective single line transit mixed scheduling model considering express bus service, Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, vol. 15, no. 2, pp. 169–174 and 181, 2015.
10、Wei M, Chen X W,Sun B.Model and algorithm for bus parking site layout optimization problem, Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, vol. 15, no. 4, pp. 113–117, 2015.