Cheng Lin

发布者:周文娜发布时间:2015-04-07浏览次数:745

Lin Cheng

Professor, School of Transportation, Southeast University

Email: gist@seu.edu.cn

Phone: 8379-5649

Education:

  • Ph.D., Kyoto University, Japan, 2002

  • M.S., Wuhan University, China, 1992

  • B.S., Tongji University, China,1987

Professional Employment:

  • Professor, School of Transportation, Southeast University, 2008-present

  • Associate Professor, School of Transportation, Southeast University, 2002-2008

  • Visiting Research Fellow, Institute of Industrial Science, the University of Tokyo, 2004

Research Interests:

  • Traffic Planning and Management

  • Transportation Network Modeling and Analysis

  • Transportation Economics

      

Honors and Awards:

  • Supervisor of Excellent PHD Thesis in Southeast University

    Xiangdong Xu (2014)

  • Supervisor of Excellent Master Thesis in Jiangsu Province

    Kui Ji (2014), Ting Xu (2014), Dawei Li (2012), Xiangdong Xu (2010)

  • Supervisor of Excellent Undergraduate Thesis in Jiangsu Province

    Xiaoyong Tang (2005)

  • Excellent Graduate Course in Jiangsu Province (2010)

    Urban Transportation Network Modeling and Analysis

  

Selected Publicans:

Refereed Journal Articles

  1. Zhu S., Cheng L., Chu Z., Chen A. and Chen J. (2014).Identification of Network Sensor Locations for Traffic Flow Estimation. Transportation Research Record. (SCI & EI)

  2. Shi, J., Cheng, L., Long, J., and Liu, Y. (2014). A New Cellular Automaton Model for Urban Two-Way Road Networks. Computational Intelligence Neuroscience, Volume 2014, Article ID 685047, 6 pages. (SCI)

  3. Du, M., Jiang X., and Cheng, L. (2014). Estimating the Capacity of Urban Transportation Networks with Improved Sensitivity Based Method. Dynamic Dynamics in Nature and Society, Volume 2014, Article ID 827094, 13 pages. (SCI)

  4. Cheng, L., and Han, F. (2014). Optimal Road Toll Design from the Perspective of Sustainable Development. Discrete Dynamics in Nature and Society, Volume 2014, Article ID 548427, 7 pages. (SCI)

  5. Xu X., Chen A. Zhou Z. and Cheng L. (2014). A multi-class mean-excess traffic equilibrium model with elastic demand. Journal of Advanced Transportation 48(3), 203-222. (SCI & EI)

  6. Xu X., Chen A., and Cheng L. (2014). Modeling distribution tail in network performance assessment: A mean-excess total travel time risk measure and analytical estimation method. Transportation Research Part B 66, 32-49. (SCI & EI)

  7. Cheng L., Du M., and Rakha H. (2014). Modeling and estimating the capacity of urban transportation network with rapid transit. Transport 29(2), 165-174. (SCI &EI)

  8. Chu Z., Chen H., Cheng L., Chen X. and Zhu S. (2014). Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis. Dynamic Dynamics in Nature and Society, Volume 2014, Article ID 360269, 11pages. (SCI)

  9. Cheng L., Zhu S., Chu Z. and Chen J. (2014).A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows. Dynamic Dynamics in Nature and Society, Volume 2014, Article ID 192470, 9pages. (SCI)

  10. Xu X., Chen A. and Cheng L. (2013). Assessing the effects of stochastic perception error under travel time variability. Transportation 40(3), 525-548. (SCI & EI)

  11. Xu X., Chen A. and Cheng L. (2013). Stochastic Network Design Problem with Fuzzy Goals. Transportation Research Record 2399, 23-33. (SCI & EI)

  12. Du M., Cheng L. and Rakha H. (2012).Sensitivity Analysis of Combined Distribution-Assignment Model with Application. Transportation Research Record 2284: 10-20. (SCI & EI)

  13. Li D., Cheng L. and Ma J. (2011). Incident Duration Prediction Based on Latent Gaussian Naïve Bayesian classifier. International Journal of Computational Intelligence Systems 4(3), 345-352. (SCI)

  

Conference Proceedings

  1. Sun, C., Cheng, L., Zhu, S., & Chu, C. (2015). A Multi-Class Stochastic User Equilibrium Model with Elastic Demand Considering Systematic and Accidental Delays. In Transportation Research Board 94nd Annual Meeting, January 2015, Washington D.C., USA.(No. 15-0169).

  2. Zhu, S., Cheng, L., Sun, C., Chen, J., & Chu, Z. (2015). Network Sensor Location Models Accounting for Variability of Traffic Flow Estimation. In Transportation Research Board 94nd Annual Meeting, January 2015, Washington D.C., USA.(No. 15-0352).

  3. Han, F., & Cheng, L., (2015). Stochastic User Equilibrium with Tradable Credit Schemes and Optimal Scheme Design Based on Sensitivity Analysis. In Transportation Research Board 94nd Annual Meeting, January 2015, Washington D.C., USA.(No. 15-0404).

  4. Du, M., Cheng, L., & Jiang, X. (2015). Linear Dependence of User-equilibrium Routes in Transportation Networks. In Transportation Research Board 94nd Annual Meeting, January 2015, Washington D.C., USA.(No. 15-2669).

  5. Du, M., Cheng, L., Jiang, X., & Li, Z. (2015). Sensitivity Based Heuristics for Network Capacity Estimation in Transportation. In Transportation Research Board 94nd Annual Meeting, January 2015, Washington D.C., USA.(No. 15-3115).

  6. Xu, X., Chen, A., & Cheng, L. (2013) Unconstrained Formulation of Environmentally Constrained Traffic Equilibrium Problem. In Transportation Research Board 92nd Annual Meeting, January 2013, Washington D.C., USA. (No. 13-2086).

  7. Xu, X., Chen, A., & Cheng, L. (2013) Stochastic Network Design Problem with Fuzzy Goals. In Transportation Research Board 92nd Annual Meeting, January 2015, Washington D.C., USA. (No. 13-2770).

  8. Du, M., Cheng, L., & Rakha, H. (2013). Sensitivity Analysis-Based Heuristic Method for Transportation Network Capacity Model. In Transportation Research Board 92nd Annual Meeting, January 2013, Washington D.C., USA. (No. 13-0557).

  9. Li, D., & Cheng, L. (2011). Bayesian network classifiers for incident duration prediction. In Transportation Research Board 90th Annual Meeting, January 2011, Washington D.C., USA. (No. 11-0915).

  10. Li, D., & Cheng, L. (2010). Incident duration prediction based on tree augmented naive Bayesian classifier. In 15th International Conference of Hong Kong Society for Transportation Studies, December 11-14, 2010, Hong Kong, China, pp. 407-414. (ISTP)


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