Books and Book Chapters (in Bold: corresponding author; in  italic: my student or research assistant)
  1. Zheng, Z., Data Analysis, Mathematical Modelling, and Numerical Optimisation in Transportation Research (Tentative title). Elsevier,  TBD.
  2. Sharma, A., Ali, Y. ,Saifuzzaman, M., Zheng, Z. *, Haque, M.M., Human Factors in Modelling Mixed Traffic of Traditional, Connected, and Automated Vehicles, in Advances in Human Factors in Simulation and Modeling, Springer, 2017. (Invited book chapter; PDF draft )
  3. Zheng, Z., Sarvi, M. (Eds) Modelling, calibrating, and validating car following and lane changing behaviour. Elsevier, 2016.
  4. Zheng, Z. Empirical Analysis of Freeway Traffic Oscillation: its Safety Impact and Evolution. VDM Publishing House LTD. Germany, 2011.
Journal Papers (in Bold: corresponding author; in  italic: my student or research assistant)
  1. Sarkar, N., Bhaskar, A., Zheng, Z., Miska, M., 2020. Microscopic Modelling of Area-Based Heterogeneous Traffic Flow: Area Selection and Vehicle Movement. Transportation Research Part C, 111, 373-396. (PDF)
  2. Zhou, F., Zheng, Z.*, Whitehead, J., Perrons, R., Washington, S., Page, L., 2020. Preference Heterogeneity in Mode Choice for Car-Sharing and Shared Automated Vehicles. Transportation Research Part A, 132, 633-650. (PDF)
  3. Li, Z., Zheng, Z.*, Washington, S., 2019. Short-term traffic flow forecasting by gradient boosting. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2019.2948381. (PDF)
  4. Ali, Y., Zheng, Z., Haque, M. M., Wang, M., 2019. A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment. Transportation Research Part C: Emerging Technologies, 106, 220-242. (PDF)
  5. Ali, Y., Haque, M. M., Zheng, Z., Washington, S., Yildirimoglu, M. , 2019. A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing. Transportation Research Part C: Emerging Technologies, 106, 113-131. (PDF)
  6. Zhou, F., Page, L., Perrons, R. K., Zheng, Z., Washington, S., 2019. Long-term forecasts for energy commodities price: What the experts think. Energy Economics. https://doi.org/10.1016/j.eneco.2019.104484.
  7. Sharma, A., Zheng, Z., Bhaskar, A., & Haque, M. M., 2019. Modelling car-following behaviour of connected vehicles with a focus on driver compliance. Transportation Research Part B: Methodological, 126, 256-279. (PDF)
  8. Sharma, A., Zheng, Z., Kim, J., Bhaskar, A., Haque, M., 2019. Estimating and comparing response times in traditional and connected environments. Transportation Research Record: Journal of the Transportation Research Board. DOI: https://doi.org/10.1177/0361198119837964. (PDF)
  9. Sharma, A., Zheng, Z., Bhaskar, A., 2019. Is more always better? The impact of vehicular trajectory completeness on car-following model calibration and validation. Transportation Research Part B 120C, 49-75. (PDF)
  10. Sharma, A., Zheng, Z., Bhaskar, A., 2018. A pattern recognition algorithm for assessing trajectory completeness.  Transportation Research Part C 96, 432-457. (PDF)
  11. Paramita, P., Zheng, Z., Haque, M., Washington, S., Hyland, P., 2018. A tale of five cities: a nationwide comparison on user satisfaction towards train fare.  PLoS ONE 13(6): e0199449. (PDF)
  12. Y Ali, Z Zheng, M Haque, 2018. Connectivity’s impact on mandatory lane changing behaviour: evidences from a driving simulator study. Transportation Research Part C 93C 292-309. (PDF draft)
  13. A Hew, RK Perrons, S Washington, L Page, Z Zheng, 2018. Thinking together about the future when you are not together: The effectiveness of using developed scenarios among geographically distributed groups. Technological Forecasting and Social Change 133: 206-219. (PDF draft)
  14. J Sun, K Zuo, S Jiang, Z Zheng, 2018. Modeling and Predicting Stochastic Merging Behaviors at Freeway On-Ramp Bottlenecks. Journal of Advanced Transportation 2018: 9308580. (PDF)
  15. Sun, J., Zheng, Z., Sun, J., 2018. Stability analysis methods and their application to car-following models in conventional and connected environments.  Transportation Research Part B 109, 212-237. (PDF draft)
  16. Saifuzzaman, Mohammad, Zheng, Zuduo, Haque, Md. Mazharul, Washington, Simon, 2017. Understanding the mechanism of traffic hysteresis and traffic oscillations through the change in task difficulty level. Transportation Research Part B 105C, 523-538. (PDF draft)
  17. Zhou, Fan, Zheng, Zuduo, Whitehead, Jake, Perrons, Robert, Page, Lionel, Washington, Simon, 2017. Projected prevalence of car-sharing in four Asian-Pacific countries in 2030: What the experts think. Transportation Research Part C 84, 158-177. (PDF draft)
  18. Zheng, Zuduo, Washington, Simon, Hyland, Paul, Sloan, Keith, Liu, Yulin, 2016. Preference heterogeneity in mode choice based on a nationwide survey with a focus on urban rail. Transportation Research Part A 91, 178-194 ( PDF draft)
  19. Wang, Zhe, Zheng, Zuduo, Fleiter, Judy, 2016. Does family background impact driving attitudes and risky behaviours? An investigation on Chinese young drivers. Accident Analysis and Prevention. 95, 67-77. ( PDF draft)
  20. Zheng, Zuduo, Su, Dongcai, 2016. Traffic state estimation through compressed sensing and Markov random field. Transportation Research Part B 91, 525-554. ( PDF draft)
  21. Saifuzzaman, Mohammad, Zheng, Zuduo, Haque, Md. Mazharul, Washington, Simon, 2015. Revisiting the Task-Capability Interface model for incorporating human factors into Car-following models. Transportation Research Part B 82, 1-19. (PDF draft)
  22. Saifuzzaman, Mohammad,  Haque, Md. Mazharul, Zheng, Zuduo, Washington, Simon, 2015. Impact of mobile phone use on car-following behaviour of young drivers. Accident Analysis and Prevention 82, 10-19. (PDF draft)
  23. Roshandel, Saman, Zheng, Zuduo, Washington, Simon, 2015. Impact of real-time traffic characteristics on freeway crash occurrence: Systematic review and meta-analysis. Accident Analysis and Prevention 79, 198-211.(PDF draft)
  24. Zheng, Zuduo, Lee, Jinwoo (Brian), Mohammad Saifuzzaman, Jian Sun, 2015. The impact of travel/traffic information on travel behaviour in natural disasters. Transportation Research Part C 51, 243-259. (PDF draft)
  25. Saifuzzaman, Mohammad, Zheng, Zuduo, 2014. Incorporating human-factors in car-following models: A review of recent developments and research needs. Transportation Research Part C 48, 379 - 403. (PDF draft)
  26. Zheng, Zuduo, Liu, Zhiyuan, Liu, Chuanli,  Shiwakoti, Nirajan, 2014. Understanding public response to a congestion charge: A random-effects ordered logit approach. Transportation Research Part A 70, 117-134. (PDF draft)
  27. Zheng, Zuduo, Su, Dongcai, 2014. Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm. Transportation Research Part C 43, 143 - 157. (PDF draft)
  28. Zheng, Zuduo, 2014. Recent developments and research needs in modeling lane changing. Transportation Research Part B 60, 16-32. ( PDF draft)
  29. Chen, Danjue, Ahn, Soyoung, Laval, Jorge, Zheng, Zuduo, 2014. On the periodicity of traffic oscillations and capacity drop : the role of driver characteristics. Transportation Research Part B 59, 117-136. ( PDF draft)
  30. Zheng, Zuduo, Ahn, Soyoung, Chen, Danjue, Laval, Jorge. 2013. The effects of lane-changing on the immediate follower : anticipation, relaxation, and change in driver characteristics. Transportation Research Part C 26, 367-379. (PDF draft)
  31. Chen, Danjue, Laval, Jorge, Zheng, Zuduo, Ahn, Soyoung, 2012. A behavioral car-following model that captures traffic oscillations. Transportation Research Part B 46(6), 744-761. (PDF draft)
  32. Zheng, Zuduo, Washington, Simon, 2012. On selecting an optimal wavelet for detecting singularities in traffic and vehicular data. Transportation Research Part C 25, 18-33. (PDF draft)
  33. Chen, Danjue, Laval, Jorge, Ahn, Soyoung, Zheng, Zuduo, 2012. Microscopic traffic hysteresis in traffic oscillations : a behavioral perspective. Transportation Research Part B 46(10), 1440-1453. (PDF draft)
  34. Zheng, Zuduo, Ahn, Soyoung, Chen, Danjue,  Laval, Jorge, 2011. Freeway traffic oscillations : microscopic analysis of formations and propagations using Wavelet Transform. Transportation Research Part B 45(9), 1378-1388. (PDF draft)
  35. Zheng, Zuduo, Ahn, Soyoung, Chen, Danjue, Laval, Jorge, 2011. Applications of wavelet transform for analysis of freeway traffic : bottlenecks, transient traffic, and traffic oscillations. Transportation Research Part B 45(2), 372-384. (PDF draft)
  36. Zheng, Zuduo, Ahn, Soyoung, Monsere, Christopher M., 2010. Impact of traffic oscillations on freeway crash occurrences. Accident Analysis and Prevention 42(2), 626-636. (PDF draft)

Peer-reviewed Conference Proceedings
  1. Wang, Z., Zheng, Z., 2014. "Privilege to Kill" phenomenon on developing countries' roads: A preliminary case study of China. The IEEE Conference on Intelligent Transportation Systems (ITSC 2014)
  2. Liu, Chuanli, Zheng, Zuduo, 2013. Public acceptance towards congestion charge : a case study of Brisbane. Procedia - Social and Behavioral Sciences 96, 2811-2822.(The first author was a undergraduate at QUT; PDF draft)
  3. Dollisson, John, Cox, William,  Zheng, Zuduo, 2013. Comparison of Motorists’ and Cyclists’ perception of bicycle safety. In 36th Australasian Transport Research Forum (ATRF) Annual Conference, 2 - 4 October 2013, QUT Gardens Point, Brisbane, Australia. (The first and second authors were undergraduates at QUT; PDF draft)
  4. Lee, Jinwoo (Brian), Zheng, Zuduo, Kashfi, Syeed, Chia, Jason, Yi, Rong, 2013. Observation of bus ridership in the aftermath of the 2011 Floods in Southeast Queensland, Australia. In 9th Annual International Conference of the International Institute for Infrastructure Renewal and Reconstruction, 8 - 11 July 2013, Brisbane, Qld. (In Press; PDF draft) 
  5. Zheng, Zuduo, 2012. Empirical analysis on relationship between traffic conditions and crash occurrences. Procedia - Social and Behavioral Sciences 43, 302-312. (PDF draft)
  6. Su, Dongcai, Dong, Junwei, Zheng, Zuduo, 2009. Shrinking neighborhood evolution : a novel stochastic algorithm for numerical optimization. In Proceedings of The 2009 IEEE Congress on Evolutionary Computation, IEEE, Nova Conference Centre and Cinema, Trondheim, pp. 3300-3305. (PDF draft)
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