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Guoyuan Wu 0001
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- affiliation: University of California at Riverside, Center for Environmental Research and Technology, Riverside, CA, USA
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2020 – today
- 2024
- [j33]Zhengwei Bai
, Guoyuan Wu
, Matthew J. Barth
, Hang Qiu, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
:
Pillar Attention Encoder for Adaptive Cooperative Perception. IEEE Internet Things J. 11(14): 24998-25009 (2024) - [j32]Shan Fang
, Lan Yang
, Xiangmo Zhao, Wei Wang
, Zhigang Xu
, Guoyuan Wu
, Yang Liu
, Xiaobo Qu:
A Dynamic Transformation Car-Following Model for the Prediction of the Traffic Flow Oscillation. IEEE Intell. Transp. Syst. Mag. 16(1): 174-198 (2024) - [j31]Haoxuan Dong
, Weichao Zhuang
, Guoyuan Wu
, Zhaojian Li
, Guodong Yin
, Ziyou Song:
Overtaking-Enabled Eco-Approach Control at Signalized Intersections for Connected and Automated Vehicles. IEEE Trans. Intell. Transp. Syst. 25(5): 4527-4539 (2024) - [j30]Xiaonian Shan
, Changxin Wan, Peng Hao
, Guoyuan Wu
, Matthew J. Barth
:
Developing A Novel Dynamic Bus Lane Control Strategy With Eco-Driving Under Partially Connected Vehicle Environment. IEEE Trans. Intell. Transp. Syst. 25(6): 5919-5934 (2024) - [j29]Ahmed Abdo, Hanlin Chen
, Xuanpeng Zhao
, Guoyuan Wu
, Yiheng Feng
:
Cybersecurity on Connected and Automated Transportation Systems: A Survey. IEEE Trans. Intell. Veh. 9(1): 1382-1401 (2024) - [c61]Ahmed Abdo
, Guoyuan Wu
, Nael B. Abu-Ghazaleh
:
VEhicular Secure Network Open Simulator (VESNOS): A Cyber-security oriented co-simulation platform for connected and automated driving. SIGSIM-PADS 2024: 108-118 - [i31]Qingnan Liang, Ruili Yao, Ruixuan Zhang, Zhibin Chen, Guoyuan Wu:
Agent-based Simulation Evaluation of CBD Tolling: A Case Study from New York City. CoRR abs/2402.10834 (2024) - [i30]Chuheng Wei, Guoyuan Wu, Matthew J. Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han:
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections. CoRR abs/2404.11181 (2024) - [i29]Chuheng Wei, Guoyuan Wu, Matthew J. Barth:
Feature Corrective Transfer Learning: End-to-End Solutions to Object Detection in Non-Ideal Visual Conditions. CoRR abs/2404.11214 (2024) - [i28]Ziye Qin, Siyan Li, Guoyuan Wu, Matthew J. Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han:
Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions. CoRR abs/2405.03873 (2024) - 2023
- [j28]Xishun Liao
, Xuanpeng Zhao
, Ziran Wang
, Zhouqiao Zhao
, Kyungtae Han
, Rohit Gupta, Matthew J. Barth
, Guoyuan Wu
:
Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior. IEEE Internet Things J. 10(15): 13235-13246 (2023) - [j27]Zhengwei Bai
, Guoyuan Wu
, Xuewei Qi
, Yongkang Liu, Kentaro Oguchi
, Matthew J. Barth
:
Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform. IEEE Intell. Transp. Syst. Mag. 15(2): 251-265 (2023) - [j26]Zhengwei Bai
, Saswat Priyadarshi Nayak
, Xuanpeng Zhao
, Guoyuan Wu
, Matthew J. Barth
, Xuewei Qi
, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
:
Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR. IEEE Trans. Intell. Transp. Syst. 24(9): 9476-9489 (2023) - [j25]Lan Yang
, Jiahao Zhan, Wen-Long Shang
, Shan Fang, Guoyuan Wu
, Xiangmo Zhao
, Muhammet Deveci
:
Multi-Lane Coordinated Control Strategy of Connected and Automated Vehicles for On-Ramp Merging Area Based on Cooperative Game. IEEE Trans. Intell. Transp. Syst. 24(11): 13448-13461 (2023) - [c60]Siyan Li, Chuheng Wei, Guoyuan Wu, Matthew J. Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han:
Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios. IRC 2023: 1-4 - [c59]Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Dynamic Feature Sharing for Cooperative Perception from Point Clouds. ITSC 2023: 3970-3976 - [c58]Xuanpeng Zhao, Xishun Liao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth:
Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach. ITSC 2023: 4297-4302 - [c57]Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control. ITSC 2023: 4428-4435 - [c56]Chuheng Wei, Guoyuan Wu, Matthew J. Barth, Pak Hung Chan, Valentina Donzella, Anthony Huggett:
Enhanced Object Detection by Integrating Camera Parameters into Raw Image-Based Faster R-CNN. ITSC 2023: 4473-4478 - [c55]Xishun Liao, Guoyuan Wu, Matthew J. Barth, Rohit Gupta, Kyungtae Han:
Exploring Vehicular Interaction from Trajectories Based on Granger Causality. IV 2023: 1-7 - [c54]Saswat Priyadarshi Nayak, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Evaluation of Infrastructure-Assisted Cooperative Tracking of Vehicles Using Various Motion Models. PLANS 2023: 243-253 - [c53]Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. SMC 2023: 4675-4682 - [i27]Zhengwei Bai
, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation. CoRR abs/2302.03128 (2023) - [i26]Haoxuan Dong, Weichao Zhuang, Guoyuan Wu, Zhaojian Li, Guodong Yin, Ziyou Song:
Overtaking-enabled Eco-approach Control at Signalized Intersections for Connected and Automated Vehicles. CoRR abs/2306.09736 (2023) - [i25]Xuanpeng Zhao, Guoyuan Wu, Akula Venkatram, Ji Luo, Peng Hao, Kanok Boriboonsomsin, Shaohua Hu:
Integrated Simulation Platform for Quantifying the Traffic-Induced Environmental and Health Impacts. CoRR abs/2306.15753 (2023) - [i24]Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. CoRR abs/2309.05115 (2023) - [i23]Ziye Qin, Ang Ji, Zhanbo Sun, Guoyuan Wu, Peng Hao, Xishun Liao:
Game Theoretic Application to Intersection Management: A Literature Review. CoRR abs/2311.12341 (2023) - 2022
- [j24]Xuanpeng Zhao
, Ahmed Abdo, Xishun Liao
, Matthew J. Barth
, Guoyuan Wu
:
Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments. IEEE Intell. Transp. Syst. Mag. 14(6): 52-65 (2022) - [j23]Chao Wang
, Peng Hao
, Guoyuan Wu
, Xuewei Qi
, Matthew J. Barth
:
Intersection and Stop Bar Position Extraction From Vehicle Positioning Data. IEEE Trans. Intell. Transp. Syst. 23(4): 3670-3681 (2022) - [j22]Xishun Liao
, Ziran Wang
, Xuanpeng Zhao
, Kyungtae Han
, Prashant Tiwari, Matthew J. Barth
, Guoyuan Wu
:
Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication. IEEE Trans. Intell. Transp. Syst. 23(5): 4490-4500 (2022) - [j21]Nigel Williams
, Guoyuan Wu
, Matthew J. Barth
:
Position Uncertainty-Tolerant Cooperative Merging Application for Mixed Multilane Traffic. IEEE Trans. Intell. Veh. 7(1): 143-153 (2022) - [j20]Xishun Liao
, Xuanpeng Zhao
, Ziran Wang
, Kyungtae Han
, Prashant Tiwari, Matthew J. Barth
, Guoyuan Wu
:
Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5746-5757 (2022) - [c52]Xishun Liao, Ziran Wang, Xuanpeng Zhao, Zhouqiao Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu:
Online Prediction of Lane Change with a Hierarchical Learning-Based Approach. ICRA 2022: 948-954 - [c51]Zhouqiao Zhao, Ziran Wang, Kyungtae Han, Rohit Gupta, Prashant Tiwari, Guoyuan Wu, Matthew J. Barth:
Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning. ICRA 2022: 2891-2897 - [c50]Zhengwei Bai
, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
PillarGrid: Deep Learning-Based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR. ITSC 2022: 1743-1749 - [c49]Jiahe Cao, Zhouqiao Zhao, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Real-time Adaptive Background Subtraction for Traffic Scenarios at Signalized Intersections Based on Roadside Fish-eye Cameras. ITSC 2022: 4189-4195 - [c48]Ahmed Abdo, Guoyuan Wu, Qi Zhu, Nael B. Abu-Ghazaleh:
CVGuard: Mitigating Application Attacks on Connected Vehicles. IV 2022: 623-630 - [c47]Zhengwei Bai
, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth:
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey. IV 2022: 1366-1373 - [c46]Zhensong Wei, Xuewei Qi, Zhengwei Bai
, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi:
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. IV 2022: 1381-1386 - [i22]Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Kentaro Oguchi, Matthew J. Barth:
Cyber Mobility Mirror for Enabling Cooperative Driving Automation: A Co-Simulation Platform. CoRR abs/2201.09463 (2022) - [i21]Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth:
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey. CoRR abs/2201.11871 (2022) - [i20]Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Kentaro Oguchi:
Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR. CoRR abs/2202.13505 (2022) - [i19]Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi:
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. CoRR abs/2203.00138 (2022) - [i18]Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR. CoRR abs/2203.06319 (2022) - [i17]Wang Hu, David Oswald, Guoyuan Wu, Jay A. Farrell:
Assessment of U.S. Department of Transportation Lane-Level Map for Connected Vehicle Applications. CoRR abs/2206.13774 (2022) - [i16]Zhengwei Bai
, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Zhitong Huang:
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation. CoRR abs/2208.10590 (2022) - [i15]Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior. CoRR abs/2211.01294 (2022) - [i14]Zhengwei Bai
, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection. CoRR abs/2212.07060 (2022) - 2021
- [j19]Danyang Tian, Chao Wang, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Samer Rajab, Sue Bai:
An Innovative Framework to Evaluate the Performance of Connected Vehicle Applications: From the Perspective of Speed Variation-Based Entropy (SVE). IEEE Intell. Transp. Syst. Mag. 13(4): 45-63 (2021) - [c45]Zhouqiao Zhao, Guoyuan Wu, Matthew J. Barth, Hossein Nourkhiz Mahjoub, Yasir Khudhair Al-Nadawi, Laith Daman, Shigenobu Saigusa:
Connected Vehicle-Based Advanced Detection of "Slow-Down" Events on Freeways. ITSC 2021: 320-326 - [c44]Pingbo Ruan, Guoyuan Wu, Zhensong Wei, Matthew J. Barth:
A Modularized Electric Vehicle Model-in-the-Loop Simulation for Transportation Electrification Modeling and Analysis. ITSC 2021: 1685-1690 - [c43]Shangrui Liu, Yiheng Feng, Guoyuan Wu:
Reservation-based Network Traffic Management Strategy for Connected and Automated Vehicles: A Multiagent System Approach. ITSC 2021: 2150-2155 - [c42]Ahmed Abdo, Guoyuan Wu, Nael B. Abu-Ghazaleh:
Secure Ramp Merging using Blockchain. IV 2021: 401-408 - [i13]Xishun Liao, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Ziran Wang, Kyungtae Han, Prashant Tiwari:
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform. CoRR abs/2101.11237 (2021) - [i12]Xuanpeng Zhao, Ahmed Abdo, Xishun Liao, Matthew J. Barth, Guoyuan Wu:
Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments. CoRR abs/2111.09521 (2021) - 2020
- [j18]Ziran Wang
, Yougang Bian
, Steven E. Shladover, Guoyuan Wu
, Shengbo Eben Li
, Matthew J. Barth:
A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles. IEEE Intell. Transp. Syst. Mag. 12(1): 4-24 (2020) - [j17]Ziran Wang
, Guoyuan Wu
, Matthew J. Barth
:
Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment. IEEE Trans. Intell. Transp. Syst. 21(5): 2029-2038 (2020) - [j16]Ziran Wang
, Guoyuan Wu
, Matthew J. Barth
:
Errata for "Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment". IEEE Trans. Intell. Transp. Syst. 21(11): 4919 (2020) - [j15]Ziran Wang
, Xishun Liao
, Chao Wang, David Oswald, Guoyuan Wu
, Kanok Boriboonsomsin
, Matthew J. Barth, Kyungtae Han, BaekGyu Kim
, Prashant Tiwari:
Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach. IEEE Trans. Intell. Veh. 5(4): 738-749 (2020) - [c41]Zhouqiao Zhao, Zhensong Wei, Guoyuan Wu, Matthew J. Barth:
Developing a Data-driven Modularized Model of a Plug-in Hybrid Electric Bus (PHEB) for Connected and Automated Vehicle Applications. ITSC 2020: 1-6 - [c40]Zhouqiao Zhao, Guoyuan Wu, Ziran Wang, Matthew J. Barth:
Optimal Control-Based Eco-Ramp Merging System for Connected and Automated Vehicles. IV 2020: 540-546 - [c39]Ziran Wang, Xishun Liao, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu:
A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems. VTC Spring 2020: 1-6 - [i11]Zhensong Wei, Yu Jiang, Xishun Liao, Xuewei Qi, Ziran Wang, Guoyuan Wu, Peng Hao, Matthew J. Barth:
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning. CoRR abs/2001.09181 (2020) - [i10]Yuche Chen, Guoyuan Wu, Ruixiao Sun, Abhishek Dubey, Aron Laszka, Philip Pugliese
:
A Review and Outlook of Energy Consumption Estimation Models for Electric Vehicles. CoRR abs/2003.12873 (2020) - [i9]Ziran Wang, Guoyuan Wu, George Scora:
MOVESTAR: An Open-Source Vehicle Fuel and Emission Model based on USEPA MOVES. CoRR abs/2008.04986 (2020) - [i8]Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth:
Eco-Routing Navigation System for Electric Vehicles. CoRR abs/2008.09674 (2020)
2010 – 2019
- 2019
- [j14]Peng Hao
, Guoyuan Wu
, Kanok Boriboonsomsin
, Matthew J. Barth
:
Eco-Approach and Departure (EAD) Application for Actuated Signals in Real-World Traffic. IEEE Trans. Intell. Transp. Syst. 20(1): 30-40 (2019) - [j13]Xiaonian Shan
, Peng Hao
, Xiao-hong Chen, Kanok Boriboonsomsin
, Guoyuan Wu
, Matthew J. Barth
:
Vehicle Energy/Emissions Estimation Based on Vehicle Trajectory Reconstruction Using Sparse Mobile Sensor Data. IEEE Trans. Intell. Transp. Syst. 20(2): 716-726 (2019) - [j12]Fei Ye
, Peng Hao
, Xuewei Qi
, Guoyuan Wu
, Kanok Boriboonsomsin
, Matthew J. Barth
:
Prediction-Based Eco-Approach and Departure at Signalized Intersections With Speed Forecasting on Preceding Vehicles. IEEE Trans. Intell. Transp. Syst. 20(4): 1378-1389 (2019) - [j11]Danyang Tian
, Guoyuan Wu
, Peng Hao
, Kanok Boriboonsomsin
, Matthew J. Barth
:
Connected Vehicle-Based Lane Selection Assistance Application. IEEE Trans. Intell. Transp. Syst. 20(7): 2630-2643 (2019) - [c38]Ziran Wang, Kyungtae Han, BaekGyu Kim
, Guoyuan Wu, Matthew J. Barth:
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles. ACC 2019: 5298-5303 - [c37]Zhouqiao Zhao, Ziran Wang, Guoyuan Wu, Fei Ye, Matthew J. Barth:
The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions. ITSC 2019: 1741-1748 - [c36]Ziran Wang, Pascal Amar, Eddie Garmon, Sandeep Tanugula, Yuan-Pu Hsu, Alexander Vu, Francisco Caballero, Peng Hao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Aravind Kailas:
Early Findings from Field Trials of Heavy-Duty Truck Connected Eco-Driving System. ITSC 2019: 3037-3042 - [c35]Fei Ye, Peng Hao, Guoyuan Wu, Danial Esaid, Kanok Boriboonsomsin, Matthew J. Barth
:
An Advanced Simulation Framework of an Integrated Vehicle-Powertrain Eco-Operation System for Electric Buses. IV 2019: 2080-2085 - [i7]Ziran Wang, Kyungtae Han, BaekGyu Kim, Guoyuan Wu, Matthew J. Barth:
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles. CoRR abs/1902.07747 (2019) - [i6]Ziran Wang, Yuan-Pu Hsu, Alexander Vu, Francisco Caballero, Peng Hao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Aravind Kailas, Pascal Amar, Eddie Garmon, Sandeep Tanugula:
Early Findings from Field Trials of Heavy-Duty Truck Connected Eco-Driving System. CoRR abs/1908.00541 (2019) - [i5]Zhouqiao Zhao, Ziran Wang, Guoyuan Wu, Fei Ye, Matthew J. Barth:
The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions. CoRR abs/1908.00573 (2019) - [i4]Zhouqiao Zhao, Guoyuan Wu, Ziran Wang, Matthew J. Barth:
Optimal Control-Based Ramp Merging System for Connected and Automated Electric Vehicles. CoRR abs/1910.07620 (2019) - 2018
- [j10]Danyang Tian
, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Performance Measurement Evaluation Framework and Co-Benefit/Tradeoff Analysis for Connected and Automated Vehicles (CAV) Applications: A Survey. IEEE Intell. Transp. Syst. Mag. 10(3): 110-122 (2018) - [j9]Qichi Yang, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
A novel arterial travel time distribution estimation model and its application to energy/emissions estimation. J. Intell. Transp. Syst. 22(4): 325-337 (2018) - [j8]Xuewei Qi
, Peng Wang
, Guoyuan Wu
, Kanok Boriboonsomsin
, Matthew J. Barth
:
Connected Cooperative Ecodriving System Considering Human Driver Error. IEEE Trans. Intell. Transp. Syst. 19(8): 2721-2733 (2018) - [j7]Ziran Wang
, Guoyuan Wu
, Peng Hao
, Matthew J. Barth:
Cluster-Wise Cooperative Eco-Approach and Departure Application for Connected and Automated Vehicles Along Signalized Arterials. IEEE Trans. Intell. Veh. 3(4): 404-413 (2018) - [c34]Nigel Williams, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
, Samer Rajab, Sue Bai:
Anticipatory Lane Change Warning using Vehicle-to-Vehicle Communications. ITSC 2018: 117-122 - [c33]Weixia Li
, Guoyuan Wu, Danya Yao, Yi Zhang, Matthew J. Barth
:
Dynamic En-Route Eco-Navigation: Strategy Design, Implementation and Evaluation. ITSC 2018: 1888-1893 - [c32]Fei Ye, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
, Samer Rajab, Sue Bai:
Development and Evaluation of Lane Hazard Prediction Application for Connected and Automated Vehicles (CAVs). ITSC 2018: 2872-2877 - [c31]Ziran Wang, Guoyuan Wu, Matthew J. Barth
:
A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications. ITSC 2018: 2884-2891 - [c30]Nigel Williams, Guoyuan Wu, Pau Closas:
Impact of positioning uncertainty on eco-approach and departure of connected and automated vehicles. PLANS 2018: 1081-1087 - [i3]Ziran Wang, Guoyuan Wu, Peng Hao, Matthew J. Barth:
Cluster-Wise Cooperative Eco-Approach and Departure Application for Connected and Automated Vehicles along Signalized Arterials. CoRR abs/1808.09473 (2018) - [i2]Ziran Wang, Guoyuan Wu, Matthew J. Barth:
A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications. CoRR abs/1809.02867 (2018) - [i1]Ziran Wang, BaekGyu Kim, Hiromitsu Kobayashi, Guoyuan Wu, Matthew J. Barth:
Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study. CoRR abs/1810.09952 (2018) - 2017
- [j6]Peng Hao, Kanok Boriboonsomsin, Guoyuan Wu, Matthew J. Barth
:
Modal Activity-Based Stochastic Model for Estimating Vehicle Trajectories from Sparse Mobile Sensor Data. IEEE Trans. Intell. Transp. Syst. 18(3): 701-711 (2017) - [j5]Xuewei Qi
, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Development and Evaluation of an Evolutionary Algorithm-Based OnLine Energy Management System for Plug-In Hybrid Electric Vehicles. IEEE Trans. Intell. Transp. Syst. 18(8): 2181-2191 (2017) - [j4]Xuewei Qi
, Guoyuan Wu
, Peng Hao, Kanok Boriboonsomsin, Matthew J. Barth:
Integrated-Connected Eco-Driving System for PHEVs With Co-Optimization of Vehicle Dynamics and Powertrain Operations. IEEE Trans. Intell. Veh. 2(1): 2-13 (2017) - [j3]Osman D. Altan, Guoyuan Wu
, Matthew J. Barth
, Kanok Boriboonsomsin
, John A. Stark
:
GlidePath: Eco-Friendly Automated Approach and Departure at Signalized Intersections. IEEE Trans. Intell. Veh. 2(4): 266-277 (2017) - [c29]Peng Hao, Ziran Wang
, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Intra-platoon vehicle sequence optimization for eco-cooperative adaptive cruise control. ITSC 2017: 1-6 - [c28]Xuewei Qi, Peng Wang, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Energy and mobility benefits from connected ecodriving for electric vehicles. ITSC 2017: 1-6 - [c27]Ziran Wang
, Guoyuan Wu, Peng Hao, Matthew J. Barth
:
Cluster-wise cooperative eco-approach and departure application along signalized arterials. ITSC 2017: 145-150 - [c26]Danyang Tian, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
A co-benefit and tradeoff evaluation framework for connected and automated vehicle applications. Intelligent Vehicles Symposium 2017: 953-958 - [c25]Xuewei Qi, Yadan Luo
, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Deep reinforcement learning-based vehicle energy efficiency autonomous learning system. Intelligent Vehicles Symposium 2017: 1228-1233 - [c24]Ziran Wang
, Guoyuan Wu, Peng Hao, Kanok Boriboonsomsin, Matthew J. Barth
:
Developing a platoon-wide Eco-Cooperative Adaptive Cruise Control (CACC) system. Intelligent Vehicles Symposium 2017: 1256-1261 - 2016
- [j2]Qiu Jin, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Power-Based Optimal Longitudinal Control for a Connected Eco-Driving System. IEEE Trans. Intell. Transp. Syst. 17(10): 2900-2910 (2016) - [c23]Xuewei Qi, Matthew J. Barth
, Guoyuan Wu, Kanok Boriboonsomsin:
Intelligent On-Line Energy Management System for Plug-in Hybrid Electric Vehicles based on Evolutionary Algorithm. GECCO (Companion) 2016: 167-168 - [c22]Xiaonian Shan, Peng Hao, Xiaohong Chen, Kanok Boriboonsomsin, Guoyuan Wu, Matthew J. Barth
:
Probabilistic model for vehicle trajectories reconstruction using sparse mobile sensor data on freeways. ITSC 2016: 689-694 - [c21]Fei Ye, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
A hybrid approach to estimating electric vehicle energy consumption for ecodriving applications. ITSC 2016: 719-724 - [c20]Danyang Tian, Weixia Li
, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
, Samer Rajab, Sue Bai:
Evaluating the effectiveness of V2V-based Lane Speed Monitoring application: A simulation study. ITSC 2016: 1592-1597 - [c19]Weixia Li
, Guoyuan Wu, Matthew J. Barth
, Yi Zhang:
Safety, mobility and environmental sustainability of Eco-Approach and Departure application at signalized intersections: A simulation study. Intelligent Vehicles Symposium 2016: 1109-1114 - 2015
- [c18]Peng Hao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Preliminary evaluation of field testing on Eco-Approach and Departure (EAD) application for actuated signals. ICCVE 2015: 279-284 - [c17]Guoyuan Wu, David Kari, Xuewei Qi, Kanok Boriboonsomsin, Matthew J. Barth
:
Developing and evaluating an eco-speed harmonization strategy for connected vehicles. ICCVE 2015: 373-378 - [c16]Xuewei Qi, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
A Novel Blended Real-Time Energy Management Strategy for Plug-in Hybrid Electric Vehicle Commute Trips. ITSC 2015: 1002-1007 - [c15]Xuewei Qi, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Evolutionary algorithm based on-line PHEV energy management system with self-adaptive SOC control. Intelligent Vehicles Symposium 2015: 425-430 - [c14]Peng Hao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Developing a framework of Eco-Approach and Departure application for actuated signal control. Intelligent Vehicles Symposium 2015: 796-801 - 2014
- [j1]Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Development and Evaluation of an Intelligent Energy-Management Strategy for Plug-in Hybrid Electric Vehicles. IEEE Trans. Intell. Transp. Syst. 15(3): 1091-1100 (2014) - [c13]Peng Hao, Kanok Boriboonsomsin, Guoyuan Wu, Matthew J. Barth
:
Probabilistic model for estimating vehicle trajectories using sparse mobile sensor data. ITSC 2014: 1363-1368 - [c12]David Kari, Guoyuan Wu, Matthew J. Barth
:
Development of an agent-based online adaptive signal control strategy using connected vehicle technology. ITSC 2014: 1802-1807 - [c11]Xuewei Qi, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
An on-line energy management strategy for plug-in hybrid electric vehicles using an Estimation Distribution Algorithm. ITSC 2014: 2480-2485 - [c10]Qiu Jin, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Improving traffic operations using real-time optimal lane selection with connected vehicle technology. Intelligent Vehicles Symposium 2014: 70-75 - [c9]David Kari, Guoyuan Wu, Matthew J. Barth
:
Eco-Friendly Freight Signal Priority using connected vehicle technology: A multi-agent systems approach. Intelligent Vehicles Symposium 2014: 1187-1192 - 2013
- [c8]Matthew J. Barth
, Kanok Boriboonsomsin, Guoyuan Wu:
The potential role of vehicle automation in reducing traffic-related energy and emissions. ICCVE 2013: 604-605 - [c7]Haitao Xia, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Development and evaluation of an enhanced eco-approach traffic signal application for Connected Vehicles. ITSC 2013: 296-301 - [c6]Qichi Yang, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Arterial roadway travel time distribution estimation and vehicle movement classification using a modified Gaussian Mixture Model. ITSC 2013: 681-685 - [c5]Qiu Jin, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Platoon-based multi-agent intersection management for connected vehicle. ITSC 2013: 1462-1467 - 2012
- [c4]Qiu Jin, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Multi-Agent Intersection Management for Connected Vehicles Using an Optimal Scheduling Approach. ICCVE 2012: 185-190 - [c3]Guoyuan Wu, Kanok Boriboonsomsin, Liping Zhang, Matthew J. Barth
:
Simulation-based benefit evaluation of dynamic lane grouping strategies at isolated intersections. ITSC 2012: 1038-1043 - [c2]Qiu Jin, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
:
Advanced intersection management for connected vehicles using a multi-agent systems approach. Intelligent Vehicles Symposium 2012: 932-937
2000 – 2009
- 2006
- [c1]Toshiharu Robelin, Dengfeng Sun, Guoyuan Wu, Alexandre M. Bayen:
MILP control of aggregate Eulerian network airspace models. ACC 2006: 1-6
Coauthor Index
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