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期刊杂志

作者：时间：2024-05-09点击数：

近5年代表性 SCI/EI 国内外论文如下：

  

   < SCI检索>  

  1. Fen Wang, Keshuang Tang, Yanqing Xu, Keping Li. Investigating Drivers’ Decision Zones at High-speed Intersections in China based on the Acceleration-Deceleration Diagram. Case Studies on Transport Policy, Vol.8(1), pp.112–118, 2020.

  2. Keshuang Tang, Chaopeng Tan, Yumin Cao, Jiarong Yao, Jian Sun. A Tensor Decomposition Method for Cycle-Based Traffic Volume Estimation Using Sampled Vehicle Trajectories. Transportation Research Part C: Emerging Technologies, Vol.118, pp.102739,2020.

  3. Chaopeng Tan, Lei Liu, Hao Wu, Yumin Cao, Keshuang Tang. Fuzing License Plate Recognition Data and Vehicle Trajectory Data for Lane-Based Queue Length Estimation at Signalized Intersections. Journal of Intelligent Transportation Systems, Vol.24, No.5, pp.449-466, 2020.

  4. Tang, K*., Chen, S., Cao, Y., Li, X., Zang, D. Sun, J., Ji, Y. Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No.3, pp.1829-1840 2020.  

  5. Keshuang Tang, Yumin Cao, Can Chen, Jiarong Yao, Chaopeng Tan, Jian Sun. Dynamic Origin-Destination Flow Estimation Using Automatic Vehicle Identification Data: A 3D Convolutional Neural Network Approach. Computer-Aided Civil and Infrastructure Engineering, 2021.

  6. Juyuan Yin, Peng Chen, Keshuang Tang, Jian Sun. Queue Intensity Adaptive Signal Control for Isolated Intersection Based on Vehicle Trajectory Data, Journal of Advanced Transportation, Vol.2021 ,2021.

  7. Can Chen, Yumin Cao, Keshuang Tang, Keping Li. Dynamic Path Flow Estimation Using Automatic Vehicle Identification and Probe Vehicle Trajectory Data: A 3D Convolutional Neural Network Model, Journal of Advanced Transportation, Vol.2021, 2021.

  8. Yumin Cao, Keshuang Tang, Jian Sun, Yangbeibei Ji. Day-to-Day Dynamic Origin–Destination Flow Estimation Using Connected Vehicle Trajectories and Automatic Vehicle Identification Data. Transportation Research Part C: Emerging Technologies, Vol. 129, 103241, 2021.

  9. Chaopeng Tan, Jiarong Yao, Xuegang Ban, Keshuang Tang. Cumulative Flow Diagram Estimation and Prediction Based on Sampled Vehicle Trajectories at Signalized Intersections. IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No.8, pp.11325-11337 ,2022.

  10. Keshuang Tang, Hao Wu, Jiarong Yao, Chaopeng Tan and Yangbeibei Ji*. Lane-Based Queue Length Estimation at Signalized Intersections Using Single-Section License Plate Recognition Data. Transportmetrica B: Transport Dynamics, Vol. 10, No.1, pp.293-311, 2022.

  11. Xuejian Chen; Juyuan Yin; Keshuang Tang; Ye Tian; Jian Sun. Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment. IEEE Transactions on Intelligent Transportation Systems, Vol.23, No.10, pp.17986-18000 ,2022.

  12. Xuejian Chen; Juyuan Yin; Guoyang Qin; Keshuang Tang; Yunpeng Wang; Jian Sun. Integrated Macro-Micro Modelling for Individual Vehicle Trajectory Reconstruction Using Fixed and Mobile Sensor Data. Transportation Research Part C: Emerging Technologies, Vol. 145, pp. 103929 2022.

  13. Di Zang; Xihao Chen; Juntao Lei; Wang, Zengqiang; Junqi Zhang; Jiujun Cheng; Keshuang Tang. A Multi-Channel Geometric Algebra Residual Network for Traffic Data Prediction. IET Intelligent Transport Systems, Vol. 16, No.11, pp. 1549-1560, 2022.

  14. Di Zang; Yongjie Ding; Xiaoke Qu; Chenglin Miao; Xihao Chen; Junqi Zhang; Keshuang Tang. Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network. Sensors. 22(7):2744, 2022.

  15. Chaopeng Tan; Hao Wu; Keshuang Tang. An Extendable Gaussian Mixture Model for Lane-Based Queue Length Estimation Based on License Plate Recognition Data. Journal of Advanced Transportation, Vol. 2022, pp. 1-14, 2022.

  16. Jiarong Yao; Hao Wu;  Keshuang Tang.  A Bi-Level Programming Method for SPaT Estimation at Fixed-Time Controlled Intersections Using License Plate Recognition Data. Transportmetrica B: Transport Dynamics, Vol. 11, No.1, pp.1045-1070, 2023.

  17. Yumin Cao, Jiarong Yao, Keshuang Tang, Qi Kang. Dynamic Origin–Destination Flow Estimation for Urban Road Network Solely Using Probe Vehicle Trajectory Data. Journal of Intelligent Transportation Systems, Early Access, pp.1-18, 2023.

  18. Keshuang Tang, Siqu Chen, Yumin Cao, Di Zang, Jian Sun. Lane‐Level Short‐Term Travel Speed Prediction for Urban Expressways: An Attentive Spatio‐Temporal Deep Learning Approach. IET Intelligent Transport Systems, Vol 18, No. 4, pp.709-722, 2023.

  19. Chaopeng Tan, Yumin Cao, Xuegang Ban, Keshuang Tang. Connected Vehicle Data-Driven Fixed-Time Traffic Signal Control Considering Cyclic Time-Dependent Vehicle Arrivals Based on Cumulative Flow Diagram. IEEE Transactions on Intelligent Transportation Systems, Early Access, pp.1-17, 2024.

  20. Hao Wu,  Lyuzhou Luo, Takashi Oguchi, Keshuang Tang, Hong Zhu. Stochastic Queue Profile Estimation using License Plate Recognition Data. Physica A: Statistical Mechanics and its Applications, Vol.643, pp.129790, 2024.

  21. Hao Wu, Jiarong Yao, Yumin Cao; Keshuang Tang. Left-Turn Queue Spillback Identification Based on Single-Section License Plate Recognition Data. Transportmetrica B: Transport Dynamics, Vol.12, pp.2363273, 2024

  22. Hong Zhu, Fengmei Sun , Keshuang Tang, Tianyang Han, Junping XiangZhu. A Coordination Graph Based Framework for Network Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems, Early Access, pp.1-15, 2024

  23. Hong Zhu, Fengmei Sun, Keshuang Tang, Hao Wu, Jialong Feng, Zhixian Tang. Digital Twin-Enhanced Adaptive Traffic Signal Framework under Limited Synchronization Conditions. Sustainability, Vol. 16, No.13, 2024.

  24. Di Zang, Yongjie Ding, Jiayi Zhao,  Keshuang Tang, Hong Zhu. Predictive Resilience Assessment of Road Networks Based on Dynamic Multi-Granularity Graph Neural Network, Vol. 601, pp.128207, 2024.

  25. Di Zang, Chenguang Wei, Jiayi Zhao, Junqi Zhang, Keshuang Tang, Hong Zhu. Predictive Resilience Assessment Featuring Diffusion Reconstruction for Road Networks Under Rainfall Disturbances,Vol. 138, pp.109317, 2024.

  26. Hong Zhu, Jialong Feng, Fengmei Sun, KeshuangTang, Zang Di, Kang, Qi. Sharing Control Knowledge Among Heterogeneous Intersections: A Distributed Arterial Traffic Signal Coordination Method Using Multi-Agent Reinforcement Learning, vol.26, 2760-2776, 2025.

  27. Chaopeng Tan, Jiarong Yao, Keshuang Tang, Jinhao Liang, Guodong Yin. Privacy-Preserving Cycle-Based Arrival Profile Estimation Based on Cross-Company Connected Vehicles. Early Access, 2025.

  28. Keshuang Tang, Jiahao Liu liujiahao, Yumin Cao,  Jiarong Yao, Hong Zhu. Enhancing Path Flow Estimation on Signalized Arterials with a Hybrid Model: Integrating Sparse Vehicle Data and Automatic Vehicle Identification under Low Coverage, Volume 151, Issue 4, 2025.

  29. Lyuzhou Luo, Hao Wu, Jiahao Liu, Keshuang Tang, Chaopeng Tan. A probabilistic approach for queue length estimation using license plate recognition data:  Considering overtaking in multi-lane scenarios, Vol.173, 105029, 2025.

  30. Keshuang Tang, Qiushan Zhang, Yumin Cao, Jiahao Liu, Junping Xiang, Hong Zhu. A novel AVI sensor location model for individual vehicle path reconstruction on urban road networks, Vol.174, 105013, 2025.




  < EI检索>  

  1. 衣谢博闻,唐克双*,李克平. 基于信息熵的城市道路可变信息板布点方法,同济大学学报,Vol. 47, No. 8, pp.1148-1155, 2019.

  2. Bai, L., Wang, XH., Tang, K*. Effect of Drivers’ Attitude towards Traffic Safety Policy on Traffic Violation Behaviors. Transportation Research Record, Vol. 2672, No. 38, pp.233-244, 2018.

  3. 谈超鹏,姚佳蓉,曹喻旻,唐克双*. 基于网联车辆轨迹数据的周期排队长度估计,中国公路学报,Vol. 34, No.7, pp.140-151, 2021.

  4. 唐克双*, 陈思曲, 曹喻旻, 张锋鑫. 基于Inception卷积神经网络的城市快速路行程速度短时预测, 同济大学学报, Vol. 49, No.3, pp.370-381, 2021.

  5. Suzuki, K.*, Tang, K., Alhajyaseen, W., Suzuki, K., Nakamura, H. An International Comparative Study on Driving Attitudes and Behaviors Based on Questionnaire Surveys. IATSS Research , Vol. 46, No.1, pp.26-35, 2022.

  6. 谈超鹏,姚佳蓉,唐克双*. 基于抽样车辆轨迹数据的信号控制交叉口排队长度分布估计,中国公路学报,Vol.34, No.11, pp.282-295,2020.

  7. Tan, C., Shi, Y., Bai, L., Tang, K. *, Suzuki, K., Nakamura, H. Modeling effects of driver safety attitudes on traffic violations in China using the theory of planned behavior. IATSS Research, Vol. 46, No.1, pp.63-72,2022.

  8. Zang, D., Ding, Y., Qu, X., Chen, X., Tang, K*., Zhang, J. Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network. Proceedings of the 7th International Conference on Big Data and Computing, pp. 14-19, 2022.

  9. Zhou, JJ.,Tang, K*., Tan, C. Precise Reconstruction of Shockwaves at Signalized Intersections by Fusing Multiple Data Sources. CICTP 2022, pp. 489-500.2022.

  10. Zang, D., Qu, X., Ding, Y., Chen, Xi., Tang, K*., Zhang, J. Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks. Proceedings of the 7th International Conference on Big Data and Computing, pp. 51-57, 2022.

  11. Toriumi, A.*, Abu-Lebdeh, G., Alhajyaseen, W., Christie, N., Gehlert, T., Mehran, B., Mussone, L., Shawky, M., Tang, K., Nakamura, H. A Multi-Country Survey for Collecting and Analyzing Facts Related to Road Traffic Safety: Legislation, Enforcement, and Education for Safer Drivers. IATSS Research, Vol. 46, No.1, pp. 14-25, 2022.

  12. 姚佳蓉, 曹喻旻, 唐克双*. 基于抽样轨迹数据和改进最小二乘模型的信控路网路径流量估计方法. 中国公路学报, Vol. 35, No.3, pp.226-239,2022.

  13. 骆旅舟, 谈超鹏, 唐克双*.基于电警数据的单点自适应信号控制优化方法.同济大学学报(自然科学版).Vol. 50, No.12, pp.1798-1808,2022.

  14. 伉沛喆, 张承志, 吴浩, 姚佳蓉, 曹喻旻, 唐克双*. 基于电警数据的干线自适应协调控制优化方法. 中国公路报. Vol. 36, No.10 , pp.251-268,2023.

  15. 吴浩,刘磊,唐克双*. 基于集成学习的信号控制交叉口排队长度估计. 同济大学学报(自然科学版). Vol.51, No 03, pp.405-415.2023.


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