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Bowen Liu, Zhuping Zhou, Kai Zhang, Shuangzhi Yu. Dynamic Pricing Strategy for High-Occupancy Toll Lanes Considering the Tradeoffs between Traffic Efficiency and User Experience. Journal of transportation engineering part a-systems, 2023, 149(1)：1-14.
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Zhuping Zhou, Yunlong Peng, Yifei Cai. Vision-based approach for predicting the probability of vehicle–pedestrian collisions at intersections. IET Intelligent Transport Systems, 2020, 14(11): 1447-1455. （SCI, EI）
3.Zhuping Zhou, Yang Zhou, Ziyuan Pu, Yong Qi, and Yongneng Xu. An Integrated Cellular Automata Approach for Spatial Evacuation Simulation on Metro Platforms with Smoke Spreading[J]. Transportation Research Record: Journal of the Transportation Research Board, 2019, 1-14. (SCI，EI)
4. Zhou Zhuping, Liu Sixian, Xu wenxin, Pu Ziyuan, Zhang Shuichao and Zhou Yang. Impacts of mobile phone distractions on pedestrian crossing behavior at signalized intersections: An observational study in China. Advances in Mechanical Engineering, 2019, 11(4): 1-8. (SCI，EI)
5. Zhongbin Xiao, Zhuping Zhou and Kai Zhang. Pedestrians’ violation behavior model based on group decision-making[J]. Advances in Mechanical Engineering, 2019, 11(4): 1-8. (SCI，EI)
6. Zhou Zhuping, Liu Sixian, Xu Wenxin et al. Impacts of mobile phone distractions on pedestrian crossing behavior at signalized intersections: An observational study in China [J]. Advances in Mechanical Engineering, 2019, 11(4): 1-8. (SCI，EI)
7. Zhou Zhuping, Zhang Kai, Zhu Wenbo, Wang Yinhai. Modeling Lane-Choice Behavior to Optimize Pricing Strategy for HOT Lanes: A Support Vector Regression Approach, Journal of Transportation Engineering, Part A: Systems, 2019, 145(4): 1-12. (SCI，EI)
8. Yunlong Peng, Zhuping Zhou, Lei Li. Trajectories Prediction of Vehicles at the Intersection Based on LSTM Neural Network[C]. CICTP 2019, 2019: 2386-2397.(EI)
9. Wei Zhang, Zhuping Zhou, Lei Li and Rui Huang. Identifying Significant Injury Severity Risk Factors in Traffic Accidents Based on the Machine Learning Methods [C]. CICTP 2019, 2019: 3759-3770.（EI）
10. Yongneng Xu, Renfei Wu, Zhuping Zhou and Qiao qiao. Modeling the Behavior of Pedestrians in a Group at Signalized Intersections Using Dynamic Bayesian Method [C]. CICTP 2019, 2019: 112-123.（EI）
11. Zhang Kai, Zhou Zhuping, Qi Yong et al. Dynamic pricing strategy for high occupancy toll lanes based on random forest and nested model [J]. IET Intelligent Transport Systems, 2019, 13(4): 636-643. （SCI, EI）
12. Zhou Zhuping, Yang Jiwei, Qi Yong. Support vector and back propagation neutral network approaches for trip mode prediction using mobile phone data [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 12(10): 1220-1226. (SCI，EI)
13. Zhou Zhuping, Zhou Yang, Pu Ziyuan, Xu Yongneng. Simulation of pedestrian behavior during the flashing green signal using a modified social force model[J]. Transportmetrica A: Transport Science, 2019, 15(2) : 1019-1040. (SCI, EI).
14. Zhang Weibin, Qi Yong, Zhou Zhuping. Method of speed data fusion based on Bayesian combination algorithm and high-order multi-variable Markov model [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 12(10): 1312-1321. (SCI， EI)
15. Zhou Zhuping, Cai Yifei, Ke Ruimin et al. A collision avoidance model for two-pedestrian groups: considering random avoidance patterns [J]. Physica A: Statistical Mechanics and its Applications, 2017, 475: 142-154. (SCI, EI)
16. Zhang Shuichao, Zhou Zhuping, Hao Haiming. Prediction model of demand for public bicycle rental based on land use [J]. Advances in mechanical engineering，2018,10(12): 1-8. (SCI, EI)
17. 周竹萍, 蔡逸飞, 胡启洲*等. 基于巢式和交叉巢式logit的行人步行行为模型 [J]. 系统工程理论与实践, 2017, 37(1): 219-227. (EI)
18. 杨继伟，周竹萍*，蔡逸飞. 基于改进蚁群算法的城市公共自行车动态调度模型，北京理工大学学报，2016.12.01，36(2)：128~132. (EI)
17. 周竹萍*, 王炜, 任刚等. 信号交叉口行人交通冲突特性及影响因素分析 [J]. 东南大学学报（自然科学版），2014, 44(6): 1294-1298. (EI)
18. 鲍怡婷，周竹萍*，徐永能，信号交叉口右转机动车与行人冲突运动模型，交通信息与安全，2016.09.19，34(3)：41~49. 北大中文核心期刊