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ORCIDKeshuang Tang
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2020 – today
- 2024
[j18]Di Zang
, Chenguang Wei, Jiayi Zhao, Junqi Zhang, Keshuang Tang, Hong Zhu:
Predictive resilience assessment featuring diffusion reconstruction for road networks under rainfall disturbances. Eng. Appl. Artif. Intell. 138: 109317 (2024)- [j17]Di Zang, Yongjie Ding, Jiayi Zhao, Keshuang Tang, Hong Zhu:
Predictive resilience assessment of road networks based on dynamic multi-granularity graph neural network. Neurocomputing 601: 128207 (2024) - [j16]Yumin Cao, Jiarong Yao, Keshuang Tang, Qi Kang:
Dynamic origin-destination flow estimation for urban road network solely using probe vehicle trajectory data. J. Intell. Transp. Syst. 28(5): 756-773 (2024) - [j15]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 Trans. Intell. Transp. Syst. 25(8): 8881-8897 (2024) - [j14]Hong Zhu, Fengmei Sun, Keshuang Tang, Tianyang Han, Junping Xiang:
A Coordination Graph Based Framework for Network Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 25(10): 14298-14312 (2024) - [i1]Jiaming Yin, Weixiong Rao, Yu Xiao, Keshuang Tang:
Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning. CoRR abs/2409.00754 (2024) - 2022
- [j13]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) - [j12]Keshuang Tang, Siqu Chen, Yumin Cao, Xiaosong Li, Di Zang, Jian Sun, Yangbeibei Ji:
Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models. IEEE Trans. Intell. Transp. Syst. 23(3): 1829-1840 (2022) - [j11]Chaopeng Tan, Jiarong Yao, Xuegang Ban, Keshuang Tang:
Cumulative Flow Diagram Estimation and Prediction Based on Sampled Vehicle Trajectories at Signalized Intersections. IEEE Trans. Intell. Transp. Syst. 23(8): 11325-11337 (2022) - [j10]Xuejian Chen, Juyuan Yin, Keshuang Tang, Ye Tian, Jian Sun:
Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment. IEEE Trans. Intell. Transp. Syst. 23(10): 17986-18000 (2022) - [c9]Di Zang, Yongjie Ding, Xiaoke Qu, Xihao Chen, Keshuang Tang, Junqi Zhang:
Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network. ICBDC 2022: 14-19 - [c8]Di Zang, Xiaoke Qu, Yongjie Ding, Xihao Chen, Keshuang Tang, Junqi Zhang:
Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks. ICBDC 2022: 51-57 - 2021
- [j9]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. Comput. Aided Civ. Infrastructure Eng. 36(1): 30-46 (2021) - [j8]Chaopeng Tan, Jiarong Yao, Keshuang Tang, Jian Sun:
Cycle-Based Queue Length Estimation for Signalized Intersections Using Sparse Vehicle Trajectory Data. IEEE Trans. Intell. Transp. Syst. 22(1): 91-106 (2021) - [c7]Fenxin Zhang, Keshuang Tang, Huixin Zhang, Peng Zhang:
Architecture Design and Key Technology Research of Urban Intelligent Transportation Integrated Control System Based on Edge Cloud Cooperation Technology. CSAE 2021: 107:1-107:5 - [c6]Di Zang, Xihao Chen, Keshuang Tang, Junqi Zhang, Bin Luo:
Traffic Data Prediction with Geometric Algebra Convolutional Neural Network. ICCPR 2021: 302-308 - 2020
- [j7]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. J. Intell. Transp. Syst. 24(5): 449-466 (2020) - [j6]Jiarong Yao, Fuliang Li, Keshuang Tang, Jian Sun:
Sampled Trajectory Data-Driven Method of Cycle-Based Volume Estimation for Signalized Intersections by Hybridizing Shockwave Theory and Probability Distribution. IEEE Trans. Intell. Transp. Syst. 21(6): 2615-2627 (2020)
2010 – 2019
- 2019
- [j5]Di Zang, Yang Fang, Zhihua Wei, Keshuang Tang, Jiujun Cheng:
Traffic Flow Data Prediction Using Residual Deconvolution Based Deep Generative Network. IEEE Access 7: 71311-71322 (2019) - [j4]Di Zang, Jiawei Ling, Zhihua Wei, Keshuang Tang, Jiujun Cheng:
Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network. IEEE Trans. Intell. Transp. Syst. 20(10): 3700-3709 (2019) - 2018
- [j3]Di Zang, Zhihua Wei, Maomao Bao, Jiujun Cheng, Dongdong Zhang, Keshuang Tang, Xin Li:
Deep learning-based traffic sign recognition for unmanned autonomous vehicles. J. Syst. Control. Eng. 232(5): 497-505 (2018) - [c5]Di Zang, Yang Fang, Dehai Wang, Zhihua Wei, Keshuang Tang, Xin Li:
Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network. PRCV (2) 2018: 62-74 - 2017
- [c4]Di Zang, Jianping Ding, Jiujun Cheng, Dongdong Zhang, Keshuang Tang:
A Hybrid Learning Algorithm for the Optimization of Convolutional Neural Network. ICIC (3) 2017: 694-705 - [c3]Di Zang, Jiawei Ling, Jiujun Cheng, Keshuang Tang, Xin Li:
Using Convolutional Neural Network with Asymmetrical Kernels to Predict Speed of Elevated Highway. IFIP TC12 ICIS 2017: 212-221 - [c2]Di Zang, Dehai Wang, Jiujun Cheng, Keshuang Tang, Xin Li:
Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network. IFIP TC12 ICIS 2017: 363-371 - 2016
- [j2]Keshuang Tang, Shengfa Zhu, Yanqing Xu, Fen Wang:
Modeling Drivers' Dynamic Decision-Making Behavior During the Phase Transition Period: An Analytical Approach Based on Hidden Markov Model Theory. IEEE Trans. Intell. Transp. Syst. 17(1): 206-214 (2016) - [c1]Di Zang, Junqi Zhang, Dongdong Zhang, Maomao Bao, Jiujun Cheng, Keshuang Tang:
Traffic sign detection based on cascaded convolutional neural networks. SNPD 2016: 201-206 - 2011
- [j1]Keshuang Tang, Hideki Nakamura:
Investigating Operational Benefits of Group-based Signal Control in Japan Through a Stochastic Approach. Int. J. Intell. Transp. Syst. Res. 9(2): 71-81 (2011)
Coauthor Index
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