See my Google Scholar profile for a complete and more recent list. This page aims to provide full text, code, slides, and posters of my publications.

• Chen, X., Cheng, Z., Jin, J. G., Trépanier, M., & Sun, L. (2023). Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model. Transportation Science, 57(6), 1516-1535. [Full-text] [Slides]

• Cai, H., Wu, F., Cheng, Z., Li, B., Wang, J. (2023). A large-scale empirical study on impacting factors of taxi charging station utilization. Transportation Research Part D: Transport and Environment, 118, 103687. [Full-text] [Poster]

• Cheng, Z., Yao, J., Chen, A., & An, S. (2022). Analysis of a multiplicative hybrid route choice model in stochastic assignment paradox. Transportmetrica A: Transport Science, 18(3), 1544-1568. [Full-text]

• Zhu, K., Cheng, Z., Wu, J., Yuan, F., & Sun, L. (2022). Quantifying out-of-station waiting time in oversaturated urban metro systems. Communications in Transportation Research, 2, 100052. [Full-text] [Code]

• Zhuang, Z., Cheng, Z., Yao, J., Wang, J., & An, S. (2022). Bus travel time reliability incorporating stop waiting time and in-vehicle travel time with AVL data. International Journal of Coal Science & Technology, 9(1), 71. [Full-text]

• Cheng, Z., Wang, X., Chen, X., Trépanier, M., & Sun, L. (2022). Bayesian calibration of traffic flow fundamental diagrams using Gaussian processes. IEEE Open Journal of Intelligent Transportation Systems, 3, 763-771. [Full-text] [Code] [Poster]

• Cheng, Z., Trepanier, M., & Sun, L. (2022). Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition. Transportation science, 56(4), 904-918. [Preprint] [Code] [Slides] (2nd best paper at CASPT and TransitData 2022🏅)

• Wu, F., Chen, H., Hou, K., Cheng, Z., & Qiu, T. Z. (2022). Adaptive pushbutton control for signalized pedestrian midblock crossings. Journal of transportation engineering, Part A: Systems, 148(4), 04022011. [Full-text]

• Cheng, Z., Trépanier, M., & Sun, L. (2021). Probabilistic model for destination inference and travel pattern mining from smart card data. Transportation, 48(4), 2035-2053. [Full-text] [Code]

• Cheng, Z., Trépanier, M., & Sun, L. (2021). Incorporating travel behavior regularity into passenger flow forecasting. Transportation Research Part C: Emerging Technologies, 128, 103200. [Full-text]

• Wang, X., Cheng, Z., Trépanier, M., & Sun, L. (2021). Modeling bike-sharing demand using a regression model with spatially varying coefficients. Journal of Transport Geography, 93, 103059. [Full-text] [Code] [Poster]

• Yao, J., Cheng, Z., Dai, J., Chen, A., & An, S. (2019). Traffic assignment paradox incorporating congestion and stochastic perceived error simultaneously. Transportmetrica A: Transport Science, 15(2), 307-325. [Full-text]

• Yao, J., Huang, W., Chen, A., Cheng, Z., An, S., & Xu, G. (2019). Paradox links can improve system efficiency: An illustration in traffic assignment problem. Transportation Research Part B: Methodological, 129, 35-49. [Full-text]

• Yao, J., Cheng, Z., Shi, F., An, S., & Wang, J. (2018). Evaluation of exclusive bus lanes in a tri-modal road network incorporating carpooling behavior. Transport Policy, 68, 130-141. [Full-text]