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Books and Theses
- 2018
[b1]Shangbo Wang:
Spatio-temporal traffic flow estimation and optimum control in sensor-equipped road networks. University of Technology Sydney, Australia, 2018
Journal Articles
- 2024
- [j8]Hankang Gu, Shangbo Wang
, Xiaoguang Ma, Dongyao Jia, Guoqiang Mao, Eng Gee Lim, Cheuk Pong Ryan Wong:
Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 25(7): 7619-7632 (2024) - 2023
- [j7]Wenwei Yue, Di Zhou, Shangbo Wang, Peibo Duan:
Engineering Traffic Prediction With Online Data Imputation: A Graph-Theoretic Perspective. IEEE Syst. J. 17(3): 4485-4496 (2023) - [j6]Wenwei Yue, Changle Li, Shangbo Wang, Nan Xue, Jiaming Wu:
Cooperative Incident Management in Mixed Traffic of CAVs and Human-Driven Vehicles. IEEE Trans. Intell. Transp. Syst. 24(11): 12462-12476 (2023) - 2022
- [j5]Wenwei Yue, Changle Li, Shangbo Wang, Zhigang Xu, Guoqiang Mao:
Towards Enhanced Recovery and System Stability: Analytical Solutions for Dynamic Incident Effects in Road Networks. IEEE Trans. Intell. Transp. Syst. 23(1): 483-498 (2022) - 2020
- [j4]Shangbo Wang, Guoqiang Mao:
Fundamental Limits of Missing Traffic Data Estimation in Urban Networks. IEEE Trans. Intell. Transp. Syst. 21(3): 1191-1203 (2020) - [j3]Shangbo Wang, Changle Li, Wenwei Yue, Guoqiang Mao:
Network Capacity Maximization Using Route Choice and Signal Control With Multiple OD Pairs. IEEE Trans. Intell. Transp. Syst. 21(4): 1595-1611 (2020) - 2019
- [j2]Shangbo Wang, Guoqiang Mao:
Missing Data Estimation for Traffic Volume by Searching an Optimum Closed Cut in Urban Networks. IEEE Trans. Intell. Transp. Syst. 20(1): 75-86 (2019) - [j1]Shangbo Wang, Guoqiang Mao, J. Andrew Zhang:
Joint Time-of-Arrival Estimation for Coherent UWB Ranging in Multipath Environment With Multi-User Interference. IEEE Trans. Signal Process. 67(14): 3743-3755 (2019)
Conference and Workshop Papers
- 2023
- [c11]Pan Han, Dongyao Jia, Jie Sun, Shangbo Wang:
A Novel Hybrid Car-Following Model Combining Kinetic Dynamics and Deep Learning Networks. ICITE 2023: 445-450 - [c10]Yuli Zhang, Shangbo Wang, Xiaoguang Ma, Wenwei Yue, Ruiyuan Jiang:
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach. ITSC 2023: 4584-4591 - [c9]Ruiyuan Jiang, Shangbo Wang, Yuli Zhang, Valerio Selis:
A Joint Traffic Flow Estimation and Prediction Approach for Urban Networks. PerCom Workshops 2023: 9-14 - [c8]Shijie Wang, Shangbo Wang:
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control. PerCom Workshops 2023: 15-20 - [c7]Yang Jin, Dongyao Jia, Yechao She, Meng Xu, Shangbo Wang, Jianping Wang:
A Coupling Approach to Demand Prediction and Repositioning in SAV Systems. VTC Fall 2023: 1-6 - 2019
- [c6]Yimeng Feng, Guoqiang Mao, Bo Cheng, Baoqi Huang, Shangbo Wang, Junliang Chen:
MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor. ITSC 2019: 4281-4286 - 2018
- [c5]Peibo Duan, Guoqiang Mao, Wenwei Yue, Shangbo Wang:
A Unified STARIMA based Model for Short-term Traffic Flow Prediction. ITSC 2018: 1652-1657 - 2016
- [c4]Peibo Duan, Guoqiang Mao, Changsheng Zhang, Shangbo Wang:
STARIMA-based traffic prediction with time-varying lags. ITSC 2016: 1610-1615 - 2010
- [c3]Shangbo Wang, Andreas Waadt, Admir Burnic, Dong Xu, Christian Kocks, Guido Horst Bruck, Peter Jung:
System implementation study on RSSI based positioning in UWB networks. ISWCS 2010: 36-40 - [c2]Andreas Waadt, Shangbo Wang, Christian Kocks, Admir Burnic, Dong Xu, Guido Horst Bruck, Peter Jung:
Positioning in multiband OFDM UWB utilizing received signal strength. WPNC 2010: 308-312 - 2008
- [c1]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:
Cognitive Radio Prototyping. CrownCom 2008: 1-6
Informal and Other Publications
- 2023
- [i5]Yuli Zhang, Shangbo Wang, Ruiyuan Jiang:
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach. CoRR abs/2301.00637 (2023) - [i4]Ruiyuan Jiang, Shangbo Wang, Yuli Zhang:
A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction. CoRR abs/2302.10428 (2023) - [i3]Hankang Gu, Shangbo Wang:
Large-Scale Regional Traffic Signal Control Using Dynamic Deep Reinforcement Learning. CoRR abs/2303.11899 (2023) - [i2]Shijie Wang, Shangbo Wang:
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control. CoRR abs/2306.02684 (2023) - 2017
- [i1]Peibo Duan, Guoqiang Mao, Shangbo Wang, Changsheng Zhang, Bin Zhang:
STARIMA-based Traffic Prediction with Time-varying Lags. CoRR abs/1701.00977 (2017)
Coauthor Index
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