Shangbo Wang

According to our database, Shangbo Wang authored at least 24 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning.

Hankang Gu, Shangbo Wang, Xiaoguang Ma, Dongyao Jia, Guoqiang Mao, Eng Gee Lim, Cheuk Pong Ryan Wong

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

2023

Cooperative Incident Management in Mixed Traffic of CAVs and Human-Driven Vehicles.

Wenwei Yue, Changle Li, Shangbo Wang, Nan Xue, Jiaming Wu

IEEE Trans. Intell. Transp. Syst., November, 2023

Engineering Traffic Prediction With Online Data Imputation: A Graph-Theoretic Perspective.

Wenwei Yue, Di Zhou, Shangbo Wang, Peibo Duan

IEEE Syst. J., September, 2023

Large-Scale Regional Traffic Signal Control Using Dynamic Deep Reinforcement Learning.

Hankang Gu, Shangbo Wang

CoRR, 2023

A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction.

Ruiyuan Jiang, Shangbo Wang, Yuli Zhang

CoRR, 2023

Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach.

Yuli Zhang, Shangbo Wang, Ruiyuan Jiang

CoRR, 2023

A Coupling Approach to Demand Prediction and Repositioning in SAV Systems.

Yang Jin, Dongyao Jia, Yechao She, Meng Xu, Shangbo Wang, Jianping Wang

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

A Novel Multi-Agent Deep RL Approach for Traffic Signal Control.

Shijie Wang, Shangbo Wang

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

A Joint Traffic Flow Estimation and Prediction Approach for Urban Networks.

Ruiyuan Jiang, Shangbo Wang, Yuli Zhang, Valerio Selis

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach.

Yuli Zhang, Shangbo Wang, Xiaoguang Ma, Wenwei Yue, Ruiyuan Jiang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Novel Hybrid Car-Following Model Combining Kinetic Dynamics and Deep Learning Networks.

Pan Han, Dongyao Jia, Jie Sun, Shangbo Wang

Proceedings of the 8th IEEE International Conference on Intelligent Transportation Engineering, 2023

2022

Towards Enhanced Recovery and System Stability: Analytical Solutions for Dynamic Incident Effects in Road Networks.

Wenwei Yue, Changle Li, Shangbo Wang, Zhigang Xu, Guoqiang Mao

IEEE Trans. Intell. Transp. Syst., 2022

2020

Fundamental Limits of Missing Traffic Data Estimation in Urban Networks.

Shangbo Wang, Guoqiang Mao

IEEE Trans. Intell. Transp. Syst., 2020

Network Capacity Maximization Using Route Choice and Signal Control With Multiple OD Pairs.

Shangbo Wang, Changle Li, Wenwei Yue, Guoqiang Mao

IEEE Trans. Intell. Transp. Syst., 2020

2019

Joint Time-of-Arrival Estimation for Coherent UWB Ranging in Multipath Environment With Multi-User Interference.

Shangbo Wang, Guoqiang Mao, J. Andrew Zhang

IEEE Trans. Signal Process., 2019

Missing Data Estimation for Traffic Volume by Searching an Optimum Closed Cut in Urban Networks.

Shangbo Wang, Guoqiang Mao

IEEE Trans. Intell. Transp. Syst., 2019

MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor.

Yimeng Feng, Guoqiang Mao, Bo Cheng, Baoqi Huang, Shangbo Wang, Junliang Chen

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Spatio-temporal traffic flow estimation and optimum control in sensor-equipped road networks

Shangbo Wang

PhD thesis, 2018

A Unified STARIMA based Model for Short-term Traffic Flow Prediction.

Peibo Duan, Guoqiang Mao, Wenwei Yue, Shangbo Wang

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

STARIMA-based Traffic Prediction with Time-varying Lags.

Peibo Duan, Guoqiang Mao, Shangbo Wang, Changsheng Zhang, Bin Zhang

CoRR, 2017

2016

STARIMA-based traffic prediction with time-varying lags.

Peibo Duan, Guoqiang Mao, Changsheng Zhang, Shangbo Wang

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2010

Positioning in multiband OFDM UWB utilizing received signal strength.

Andreas Waadt, Shangbo Wang, Christian Kocks, Admir Burnic, Dong Xu, Guido Horst Bruck, Peter Jung

Proceedings of the 7th Workshop on Positioning Navigation and Communication, 2010

System implementation study on RSSI based positioning in UWB networks.

Shangbo Wang, Andreas Waadt, Admir Burnic, Dong Xu, Christian Kocks, Guido Horst Bruck, Peter Jung

Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

2008

Cognitive Radio Prototyping.

Peter Jung, Alexander Vießmann, Christoph Spiegel, Admir Burnic, Zijian Bai, Guido Horst Bruck, Konstantin Statnikov, Andreas Waadt, Shangbo Wang, Xavier Popon, Rafael Rodriguez Velilla, Harri Saarnisaari, Matthias Alles, Torben Brack, Frank Kienle, Friedbert Berens, Salvatore Rotolo, Fabio Mario Scalise, Norbert Wehn

Proceedings of the 3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2008