[1] Chen, X., Zhu, Z., He, X. and Zhang, L.* Surrogate-based optimization for solving mixed integer network design problem. Journal of Transportation Research Board: Transportation Research Record, 2015, 2497, 124-136. (SCI)
[2] Chen, X., Zhu, Z. and Zhang, L.* Simulation-based optimization of mixed road pricing policies in a large real-world network. Transportation Research Procedia, 2015, 8, 215-226. (EI)
[3] He, X., Chen, X.*, Xiong, C., Zhu, Z. and Zhang, L.* Determining the optimal time-varying pricing for toll roads under different objectives with a simulation based optimization method. Transportation Science, 2015, in press. (SCI, SSCI)
[4] Wang, Z., Chen, X., Ouyang, Y. and Li, M.* Emission mitigation via longitudinal control of intelligent vehicles in a congested platoon: An exploratory study. Computer-Aided Civil and Infrastructure Engineering, 2015, 30(6), 490-506. (SCI)
[5] Jiang X.*, Chen X., Zhang L. and Zhang R. Dynamic demand forecasting and ticket assignment for high speed rail revenue management in China. Journal of Transportation Research Board: Transportation Research Record, 2015, 2475, 37-45. (SCI)
[6] Zhu, Z., Xiong, C., Chen, X., He, X. and Zhang, L.* Agent-based microsimulation approach for design and evaluation of flexible work schedules. Journal of Transportation Research Board: Transportation Research Record, 2015, 2537, 167-176. (SCI)
[7] Xiong, C., Zhu, Z., He, X., Chen, X., Zhu, S., Mahapatra, S., Chang, G.-L. and Zhang, L.* Developing a 24-hour large-scale microscopic traffic simulation model for the before-and-after study of a new tolled freeway in the Washington DC-Baltimore region. ASCE Journal of Transportation Engineering, 2015, 141(6), 05015001. (SCI)
[8] Xiong, C., Chen, X., He, X., Guo, W. and Zhang, L.* The analysis of dynamic travel mode choice: A heterogeneous hidden Markov approach. Transportation, 2015, 42(6), 985-1002. (SCI, SSCI)
[9] Chu, C., Xie, N.*, Chen, X., Wu, Y. and Sun, X. Temporal-spatial analysis of traffic congestion based on modified CTM. Mathematical Problems in Engineering, 2015, 136102. (SCI)
[10] D. Zhou, S. Jin*, D. Ma, and D. Wang. Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach. Discrete Dynamics in Nature and Society, 2015, Article ID 420581.
[11] S. Jin*, X. Qu, D. Zhou, C. Xu, D. Ma, D. Wang. Estimating cycleway capacity and bicycle equivalent unit for electric bicycles. Transportation Research Part A 77, 225-248, 2015.
[12] X. Qu, S. Jin, J. Weng. Analysis of the Relationship between Aggregated Traffic Volume and Traffic Conflicts on Expressways. Transportmetrica A: Transport Science, 2015, 11(7), 648-658.
[13] Sheng Jin, Xiaobo Qu, Cheng Xu, Dongfang Ma, Dianhai Wang. An improved multi-value cellular automata model for heterogeneous bicycle traffic flow. Physics Letters A, 2015, 379, 2409–2416.
[14] Cheng Xu, Qiangwei Li, Zhaowei Qu, Sheng Jin*. Predicting Free Flow Speed and Crash Risk of Bicycle Traffic Flow Using Artificial Neural Network Models. Mathematical Problems in Engineering. Volume 2015 (2015), Article ID 212050, 11 pages.
[15] Waygood, E. Owen D., Sun Yilin, and Letarte laurence. Active Travel by Built Environment and Lifecycle Stage: Case Study of Osaka Metropolitan Area. International journal of environmental research and public health, 2015, Vol. 12 (12): 15900-15924
[16] Liu, H., Zhang, L.*, Sun, J. and Wang, D. Optimize the Settings of Variable Speed Limit System to Improve the Performance of Freeway Traffic, IEEE Transactions on Intelligent Transportation Systems, 2015, 16(6), 3249–3257. (SCI)
[17] Zhang, L.*, and Lou, Y. Coordination of Semi-Actuated Signals on Arterials, Journal of Advanced Transportation, 2015, 49(2), 228–246. (SCI)
[18] Fu F, Ma D, Wang D, et al. An Optimization Method of Time Window Based on Travel Time and Reliability [J]. Mathematical Problems in Engineering, 2015. (SCI)