Keshuang Tang

According to our database, Keshuang Tang authored at least 28 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Coordination Graph Based Framework for Network Traffic Signal Control.

Hong Zhu, Fengmei Sun, Keshuang Tang, Tianyang Han, Junping Xiang

IEEE Trans. Intell. Transp. Syst., October, 2024

Dynamic origin-destination flow estimation for urban road network solely using probe vehicle trajectory data.

Yumin Cao, Jiarong Yao, Keshuang Tang, Qi Kang

J. Intell. Transp. Syst., September, 2024

Connected Vehicle Data-Driven Fixed-Time Traffic Signal Control Considering Cyclic Time-Dependent Vehicle Arrivals Based on Cumulative Flow Diagram.

Chaopeng Tan, Yumin Cao, Xuegang Ban, Keshuang Tang

IEEE Trans. Intell. Transp. Syst., August, 2024

Predictive resilience assessment of road networks based on dynamic multi-granularity graph neural network.

Di Zang, Yongjie Ding, Jiayi Zhao, Keshuang Tang, Hong Zhu

Neurocomputing, 2024

Predictive resilience assessment featuring diffusion reconstruction for road networks under rainfall disturbances.

Di Zang, Chenguang Wei, Jiayi Zhao, Junqi Zhang, Keshuang Tang, Hong Zhu

Eng. Appl. Artif. Intell., 2024

Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning.

Jiaming Yin, Weixiong Rao, Yu Xiao, Keshuang Tang

CoRR, 2024

2022

Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models.

Keshuang Tang, Siqu Chen, Yumin Cao, Xiaosong Li, Di Zang, Jian Sun, Yangbeibei Ji

IEEE Trans. Intell. Transp. Syst., 2022

Cumulative Flow Diagram Estimation and Prediction Based on Sampled Vehicle Trajectories at Signalized Intersections.

Chaopeng Tan, Jiarong Yao, Xuegang Ban, Keshuang Tang

IEEE Trans. Intell. Transp. Syst., 2022

Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment.

Xuejian Chen, Juyuan Yin, Keshuang Tang, Ye Tian, Jian Sun

IEEE Trans. Intell. Transp. Syst., 2022

Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network.

Di Zang, Yongjie Ding, Xiaoke Qu, Chenglin Miao, Xihao Chen, Junqi Zhang, Keshuang Tang

Sensors, 2022

Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks.

Di Zang, Xiaoke Qu, Yongjie Ding, Xihao Chen, Keshuang Tang, Junqi Zhang

Proceedings of the ICBDC 2022: 7th International Conference on Big Data and Computing, Shenzhen, China, May 27, 2022

Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network.

Di Zang, Yongjie Ding, Xiaoke Qu, Xihao Chen, Keshuang Tang, Junqi Zhang

Proceedings of the ICBDC 2022: 7th International Conference on Big Data and Computing, Shenzhen, China, May 27, 2022

2021

Cycle-Based Queue Length Estimation for Signalized Intersections Using Sparse Vehicle Trajectory Data.

Chaopeng Tan, Jiarong Yao, Keshuang Tang, Jian Sun

IEEE Trans. Intell. Transp. Syst., 2021

Dynamic origin-destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach.

Keshuang Tang, Yumin Cao, Can Chen, Jiarong Yao, Chaopeng Tan, Jian Sun

Comput. Aided Civ. Infrastructure Eng., 2021

Traffic Data Prediction with Geometric Algebra Convolutional Neural Network.

Di Zang, Xihao Chen, Keshuang Tang, Junqi Zhang, Bin Luo

Proceedings of the ICCPR '21: 10th International Conference on Computing and Pattern Recognition, Shanghai, China, October 15, 2021

Architecture Design and Key Technology Research of Urban Intelligent Transportation Integrated Control System Based on Edge Cloud Cooperation Technology.

Fenxin Zhang, Keshuang Tang, Huixin Zhang, Peng Zhang

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020

Sampled Trajectory Data-Driven Method of Cycle-Based Volume Estimation for Signalized Intersections by Hybridizing Shockwave Theory and Probability Distribution.

Jiarong Yao, Fuliang Li, Keshuang Tang, Jian Sun

IEEE Trans. Intell. Transp. Syst., 2020

Fuzing license plate recognition data and vehicle trajectory data for lane-based queue length estimation at signalized intersections.

Chaopeng Tan, Lei Liu, Hao Wu, Yumin Cao, Keshuang Tang

J. Intell. Transp. Syst., 2020

2019

Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network.

Di Zang, Jiawei Ling, Zhihua Wei, Keshuang Tang, Jiujun Cheng

IEEE Trans. Intell. Transp. Syst., 2019

Traffic Flow Data Prediction Using Residual Deconvolution Based Deep Generative Network.

Di Zang, Yang Fang, Zhihua Wei, Keshuang Tang, Jiujun Cheng

IEEE Access, 2019

2018

Deep learning-based traffic sign recognition for unmanned autonomous vehicles.

Di Zang, Zhihua Wei, Maomao Bao, Jiujun Cheng, Dongdong Zhang, Keshuang Tang, Xin Li

J. Syst. Control. Eng., 2018

Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network.

Di Zang, Yang Fang, Dehai Wang, Zhihua Wei, Keshuang Tang, Xin Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network.

Di Zang, Dehai Wang, Jiujun Cheng, Keshuang Tang, Xin Li

Proceedings of the Intelligence Science I, 2017

Using Convolutional Neural Network with Asymmetrical Kernels to Predict Speed of Elevated Highway.

Di Zang, Jiawei Ling, Jiujun Cheng, Keshuang Tang, Xin Li

Proceedings of the Intelligence Science I, 2017

A Hybrid Learning Algorithm for the Optimization of Convolutional Neural Network.

Di Zang, Jianping Ding, Jiujun Cheng, Dongdong Zhang, Keshuang Tang

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

2016

Modeling Drivers' Dynamic Decision-Making Behavior During the Phase Transition Period: An Analytical Approach Based on Hidden Markov Model Theory.

Keshuang Tang, Shengfa Zhu, Yanqing Xu, Fen Wang

IEEE Trans. Intell. Transp. Syst., 2016

Traffic sign detection based on cascaded convolutional neural networks.

Di Zang, Junqi Zhang, Dongdong Zhang, Maomao Bao, Jiujun Cheng, Keshuang Tang

Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

2011

Investigating Operational Benefits of Group-based Signal Control in Japan Through a Stochastic Approach.

Keshuang Tang, Hideki Nakamura

Int. J. Intell. Transp. Syst. Res., 2011