基本信息

程琳

教授，博导

威尼斯澳门人登录welcome1207室

Email: gist@seu.edu.cn

Tel: 025-83795649

教育经历

• 2002年 获日本京都大学博士学位；

• 1992年 武汉大学硕士学位；

• 1987年 获同济大学学士学位；

工作经历

• 威尼斯澳门人登录welcome教授，2008-至今；

• 威尼斯澳门人登录welcome副教授，2002-2008；

• 2004年，日本东京大学生产技术研究所研究员；

• 1995-1997年 中国国家教育部国际合作司项目官员；

研究方向

• 交通规划与管理

• 交通网络优化

• 交通大数据分析与运用

• 时间空间状态网络建模

代表论文

1. Lou, X. M., Cheng, L. (2018) Modeling Day-to-Day Dynamics of Travelers’ Risky Route Choices under the Influence of Predictive Traffic Information. Transportation Research Record. (SCI & EI)

2. Cheng, L., Lou, X. M. (2018) A mixed stochastic user equilibrium model considering influence of advanced traveller information systems in degradable transport network. Journal of Central South University,25:1182-1194. (SCI & EI)

3. Du M.Y., Cheng L. (2018) Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China. Sustainability 10, 1244. (SCI & EI)

4. Ma J. Cheng L. (2018) Stochastic Electric Vehicle Network Considering Environmental Costs. Sustainability 10, 2888 (SCI & EI)

5. Xu, X., Chen, A., Cheng, L., & Yang, C. (2017). A link-based mean-excess traffic equilibrium model under uncertainty. Transportation Research Part B: Methodological, 95, 53-75. (SCI & EI)

6. Lou, X. M., Cheng, L., & Chu, Z. M. (2017). Modelling travellers’ en-route path switching in a day-to-day dynamical system. Transportmetrica B: Transport Dynamics, 5(1), 17-41. (SCI & EI)

7. Han, F., & Cheng, L. (2017). Stochastic user equilibrium model with a tradable credit scheme and application in maximizing network reserve capacity. Engineering Optimization, 49(4), 549-564. (SCI & EI)

8. Sun, C., Cheng, L., Zhu, S., Han, F., & Chu, Z. (2017). Multi-criteria user equilibrium model considering travel time, travel time reliability and distance. Transportation Research Part D: Transport and Environment. (SCI & EI)

9. Sun, C., Li, M., Cheng, L., Zhu, S., & Chu, Z. (2016). Boundedly Rational User Equilibrium with Restricted Unused Routes. Discrete Dynamics in Nature and Society, 2016. (SCI & EI)

10. Lou, X., & Cheng, L. (2016). Travelers’ risk-taking behaviors in day-to-day dynamic evolution model. Transportation Research Record: Journal of the Transportation Research Board, (2565), 27-36. (SCI & EI)

11. Han, F., & Cheng, L. (2016). The Role of Initial Credit Distribution Scheme in Managing Network Mobility and Maximizing Reserve Capacity: Considering Traveler’s Cognitive Illusion. Discrete Dynamics in Nature and Society, 2016. (SCI & EI)

12. Tang, W., & Cheng, L. (2016). Analyzing multiday route choice behavior of commuters using GPS data. Advances in Mechanical Engineering, 8(2), 1687814016633030. (SCI & EI)

13. Xu, X., Chen, A., Wong, S. C., & Cheng, L. (2015). Selection bias in build-operate-transfer transportation project appraisals. Transportation Research Part A: Policy and Practice, 75, 245-251. (SCI & EI)

14. 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)

15. 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)

16. 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)

17. 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)

18. 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)

19. 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)

20. 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)

21. 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)

22. 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)

23. 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)

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

25. 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)

26. 22. 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)

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