Publications | Fluidic City Lab

Mixed Traffic Control and Coordination

Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections

Dawei Wang, Weizi Li, Lei Zhu, and Jia Pan

International Journal of Robotics Research (IJRR), 2024

@article{Wang2024Intersection,
  author = {Wang, Dawei and Li, Weizi and Zhu, Lei and Pan, Jia},
  title = {Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections},
  journal = {International Journal of Robotics Research (IJRR)},
  year = {2024},
}

EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning

Bibek Poudel, Weizi Li, and Kevin Heaslip

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

PDF Code Presentation Bib

@article{Poudel2024EnduRL,
  author = {Poudel, Bibek and Li, Weizi and Heaslip, Kevin},
  title = {EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning},
  journal = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
}

CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control

Bibek Poudel, Weizi Li, and Shuai Li

International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2024

PDF Code Bib

@article{Poudel2024Carl,
  title = {CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control},
  author = {Poudel, Bibek and Li, Weizi and Li, Shuai},
  journal = {International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)},
  year = {2024},
}

Large-scale Mixed Traffic Control Using Dynamic Vehicle Routing and Privacy-Preserving Crowdsourcing

Dawei Wang, Weizi Li, and Jia Pan

IEEE Internet of Things Journal (IoT-J), 2024

PDF Bib

@article{Wang2024Privacy,
  author = {Wang, Dawei and Li, Weizi and Pan, Jia},
  title = {Large-scale Mixed Traffic Control Using Dynamic Vehicle Routing and Privacy-Preserving Crowdsourcing},
  journal = {IEEE Internet of Things Journal (IoT-J)},
  year = {2024},
  volume = {11},
  number = {2},
  pages = {1981--1989},
  doi = {10.1109/JIOT.2023.3335292},
}

Analyzing Emissions and Energy Efficiency in Mixed Traffic Control at Unsignalized Intersections

Michael Villarreal, Dawei Wang, Jia Pan, and Weizi Li

IEEE Forum for Innovative Sustainable Transportation Systems (FISTS), 2024

PDF Code Bib

@inproceedings{Villarreal2024Eco,
  author = {Villarreal, Michael and Wang, Dawei and Pan, Jia and Li, Weizi},
  title = {Analyzing Emissions and Energy Efficiency in Mixed Traffic Control at Unsignalized Intersections},
  booktitle = {IEEE Forum for Innovative Sustainable Transportation Systems (FISTS)},
  year = {2024},
}

Mixed Traffic Control and Coordination from Pixels

Michael Villarreal, Bibek Poudel, Jia Pan, and Weizi Li

IEEE International Conference on Robotics and Automation (ICRA), 2024

PDF Code Presentation Bib

@inproceedings{Villarreal2023Pixel,
  author = {Villarreal, Michael and Poudel, Bibek and Pan, Jia and Li, Weizi},
  title = {Mixed Traffic Control and Coordination from Pixels},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2024},
}

Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning

Michael Villarreal, Bibek Poudel, and Weizi Li

IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023

PDF Code Bib

@inproceedings{Villarreal2023Chat,
  author = {Villarreal, Michael and Poudel, Bibek and Li, Weizi},
  title = {Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning},
  booktitle = {IEEE International Conference on Intelligent Transportation Systems (ITSC)},
  year = {2023},
}

Traffic Simulation and Reconstruction

LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation

Ke Guo, Zhenwei Miao, Wei Jing, Weiwei Liu, Weizi Li, Dayang Hao, and Jia Pan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

PDF Code DEMO Bib

@inproceedings{Guo2024Simulation,
  author = {Guo, Ke and Miao, Zhenwei and Jing, Wei and Liu, Weiwei and Li, Weizi and Hao, Dayang and Pan, Jia},
  title = {LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
}

A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving

Qianwen Chao, Huikun Bi, Weizi Li, Tianlu Mao, Zhaoqi Wang, Ming C. Lin, and Zhigang Deng

Computer Graphics Forum, 2020

PDF Bib

@article{Chao2020Survey,
  author = {Chao, Qianwen and Bi, Huikun and Li, Weizi and Mao, Tianlu and Wang, Zhaoqi and Lin, Ming C. and Deng, Zhigang},
  title = {A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving},
  journal = {Computer Graphics Forum},
  year = {2020},
  volume = {39},
  number = {1},
  pages = {287--308},
  doi = {10.1111/cgf.13803},
}

City-Scale Traffic Animation Using Statistical Learning and Metamodel-Based Optimization

Weizi Li, David Wolinski, and Ming C. Lin

SIGGRAPH Asia, 2017

PDF PROJECT Bib

@article{Li2017CityFlowRecon,
  author = {Li, Weizi and Wolinski, David and Lin, Ming C.},
  title = {City-Scale Traffic Animation Using Statistical Learning and Metamodel-Based Optimization},
  journal = {SIGGRAPH Asia},
  year = {2017},
  volume = {36},
  number = {6},
  pages = {200:1--200:12},
  articleno = {200},
  issue_date = {November 2017},
  numpages = {12},
  doi = {10.1145/3130800.3130847},
}

Virtualized Traffic at Metropolitan Scales

David Wilkie, Jason Sewall, Weizi Li, and Ming C. Lin

Frontiers in Robotics and AI, 2015

PDF Bib

@article{Wilkie2015Virtual,
  author = {Wilkie, David and Sewall, Jason and Li, Weizi and Lin, Ming C.},
  title = {Virtualized Traffic at Metropolitan Scales},
  journal = {Frontiers in Robotics and AI},
  year = {2015},
  volume = {2},
  pages = {11},
  issn = {2296--9144},
  doi = {10.3389/frobt.2015.00011},
}

Traffic Prediction, Estimation, and Analysis

Data-driven Graph Filter based Graph Convolutional Neural Network Approach for Network-Level Multi-Step Traffic Prediction

Lei Lin, Weizi Li, and Lei Zhu

Sustainability, 2022

PDF Bib

@article{Lin2022GCGRNN,
  author = {Lin, Lei and Li, Weizi and Zhu, Lei},
  title = {Data-driven Graph Filter based Graph Convolutional Neural Network Approach for Network-Level Multi-Step Traffic Prediction},
  journal = {Sustainability},
  year = {2022},
  volume = {14},
  number = {24},
  pages = {16701},
  doi = {10.3390/su142416701},
}

Assessing Inequality, Irregularity, and Severity Regarding Road Traffic Safety During COVID-19

Lei Lin, Feng Shi, and Weizi Li

Nature Scientific Reports, 2021

PDF Bib

@article{Lin2021Safety,
  author = {Lin, Lei and Shi, Feng and Li, Weizi},
  title = {Assessing Inequality, Irregularity, and Severity Regarding Road Traffic Safety During COVID-19},
  journal = {Nature Scientific Reports},
  year = {2021},
  volume = {11},
  number = {13147},
  pages = {1--7},
  doi = {10.1038/s41598-021-91392-z},
}

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models

Bibek Poudel and Weizi Li

IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021

PDF Code Presentation Bib

@inproceedings{Poudel2021Attack,
  title = {Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models},
  author = {Poudel, Bibek and Li, Weizi},
  booktitle = {IEEE International Conference on Intelligent Transportation Systems (ITSC)},
  pages = {3652--3658},
  year = {2021},
}

Efficient Data Collection and Accurate Travel Time Estimation in A Connected Vehicle Environment via Real-Time Compressive Sensing

Lei Lin, Weizi Li, and Srinivas Peeta

Journal of Big Data Analytics in Transportation, 2019

PDF Bib

@article{Lin2019Compress,
  author = {Lin, Lei and Li, Weizi and Peeta, Srinivas},
  title = {Efficient Data Collection and Accurate Travel Time Estimation in A Connected Vehicle Environment via Real-Time Compressive Sensing},
  journal = {Journal of Big Data Analytics in Transportation},
  year = {2019},
  volume = {1},
  number = {2},
  pages = {95--107},
  doi = {10.1007/s42421-019-00009-5},
}

Estimating Urban Traffic States Using Iterative Refinement and Wardrop Equilibria

Weizi Li, Meilei Jiang, Yaoyu Chen, and Ming C. Lin

IET Intelligent Transport Systems, 2018

PDF Bib

@article{Li2018CityEst,
  author = {Li, Weizi and Jiang, Meilei and Chen, Yaoyu and Lin, Ming C.},
  title = {Estimating Urban Traffic States Using Iterative Refinement and Wardrop Equilibria},
  journal = {IET Intelligent Transport Systems},
  year = {2018},
  volume = {12},
  number = {8},
  pages = {875--883},
  doi = {10.1049/iet-its.2018.0007},
}

Citywide Estimation of Traffic Dynamics Via Sparse GPS Traces

Weizi Li, Dong Nie, David Wilkie, and Ming C. Lin

IEEE Intelligent Transportation Systems Magazine, 2017

PDF Bib

@article{Li2017CitySparse,
  author = {Li, Weizi and Nie, Dong and Wilkie, David and Lin, Ming C.},
  title = {Citywide Estimation of Traffic Dynamics Via Sparse GPS Traces},
  journal = {IEEE Intelligent Transportation Systems Magazine},
  year = {2017},
  volume = {9},
  number = {3},
  pages = {100--113},
  issn = {1939-1390},
  doi = {10.1109/mits.2017.2709804},
}

Autonomous Driving, Planning, and Control

AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning

Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, and Weizi Li

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

PDF Bib

@inproceedings{Villarreal2022AutoJoin,
  author = {Villarreal, Michael and Poudel, Bibek and Wickman, Ryan and Shen, Yu and Li, Weizi},
  title = {AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
}

Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms

Lei Lin, Weizi Li, Huikun Bi, and Lingqiao Qin

IEEE Intelligent Transportation Systems Magazine, 2022

PDF Bib

@article{Lin2022Attention,
  author = {Lin, Lei and Li, Weizi and Bi, Huikun and Qin, Lingqiao},
  title = {Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms},
  journal = {IEEE Intelligent Transportation Systems Magazine},
  year = {2022},
  volume = {14},
  number = {2},
  pages = {197–-208},
  doi = {10.1109/MITS.2021.3049404},
}

Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning

Bibek Poudel, Thomas Watson, and Weizi Li

IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022

PDF Code Presentation Bib

@inproceedings{Poudel2022Micro,
  author = {Poudel, Bibek and Watson, Thomas and Li, Weizi},
  title = {Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning},
  booktitle = {IEEE International Conference on Intelligent Transportation Systems (ITSC)},
  year = {2022},
}

Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering

Yu Shen, Weizi Li, and Ming C. Lin

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

PDF PROJECT Bib

@inproceedings{Shen2022IRL,
  author = {Shen, Yu and Li, Weizi and Lin, Ming C.},
  title = {Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2022},
  pages = {7421--7428},
  issn = {2153-0866},
  doi = {10.1109/IROS47612.2022.9981103},
}

Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering

Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, and Ming C. Lin

Advances in Neural Information Processing Systems (NeurIPS), 2021

PDF PROJECT Bib

@inproceedings{Shen2021Corruption,
  author = {Shen, Yu and Zheng, Laura and Shu, Manli and Li, Weizi and Goldstein, Tom and Lin, Ming C.},
  title = {Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  pages = {26250--26263},
}

ADAPS: Autonomous Driving Via Principled Simulations

Weizi Li, David Wolinski, and Ming C. Lin

IEEE International Conference on Robotics and Automation (ICRA), 2019

PDF Bib

@inproceedings{Li2019ADAPS,
  author = {Li, Weizi and Wolinski, David and Lin, Ming C.},
  title = {ADAPS: Autonomous Driving Via Principled Simulations},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2019},
  pages = {7625--7631},
  issn = {2577-087X},
  doi = {10.1109/icra.2019.8794239},
}

Reinforcement Learning Applications

Efficient Quality-Diversity Optimization Through Diverse Quality Species

Ryan Wickman, Bibek Poudel, Michael Villarreal, Xiaofei Zhang, and Weizi Li

Genetic and Evolutionary Computation Conference (GECCO), 2023

PDF Code Bib

@inproceedings{Wickman2023Species,
  author = {Wickman, Ryan and Poudel, Bibek and Villarreal, Michael and Zhang, Xiaofei and Li, Weizi},
  title = {Efficient Quality-Diversity Optimization Through Diverse Quality Species},
  booktitle = {Genetic and Evolutionary Computation Conference (GECCO)},
  year = {2023},
  pages = {699--702},
  doi = {10.1145/3583133.3590581},
}

A Generic Graph Sparsification Framework using Deep Reinforcement Learning

Ryan Wickman, Xiaofei Zhang, and Weizi Li

IEEE International Conference on Data Mining (ICDM), 2022

PDF Code Bib

@inproceedings{Wickman2022SparRL,
  author = {Wickman, Ryan and Zhang, Xiaofei and Li, Weizi},
  title = {A Generic Graph Sparsification Framework using Deep Reinforcement Learning},
  booktitle = {IEEE International Conference on Data Mining (ICDM)},
  year = {2022},
  pages = {1221--1226},
  doi = {10.1109/ICDM54844.2022.00158},
}