Pinlong Cai | 蔡品隆

Junior Specialist, Shanghai Artificial Intelligence Laboratory.
701 Yunjin Road in Xuhui District, Shanghai, China
caipinlong@pjlab.org.cn
Google scholar | ORCID | ResearchGate

I received my Ph.D. degree in Traffic Information Engineering and Control from Beihang University, Beijing, China, supervised by Prof. Yunpeng Wang and Prof. Guangquan Lu. From 2016 to 2017, I was a Research & Development Engineer with the Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, led by Prof. Hao Chen. From 2020 to 2021, I was a Standard & Strategy Engineer at ZTE Corporation. Currently, I am a Junior Specialist at Shanghai Artificial Intelligence Laboratory.

I have already published more than 20 academic papers in peer-reviewed journals and conferences (including 1 ESI Top 1% highly cited paper), obtained more than 10 patents, and 1 software copyright. I am also the reviewer of more than 10 journals and conferences. I participate in writing books of Urban Transport System Operation Reliability Analysis Method and Intelligent Road Transport Systems: An Introduction to Key Technologies. I also participated in the preparation of the Data Compliance Guidelines for Intelligent Connected Vehicles, which was released at the 2022 World Artificial Intelligence Conference (WAIC). I am the winner of the Yangfan Special Project of the Shanghai Qimingxing Program.

My research interests include data modelling, decision intelligence, autonomous vehicles, and cooperative vehicle infrastructure system.

news

Sep 27, 2024	LimSimLight (new version of LimSim to parsing OpenDrive map files and simulate by the new self-developed engine) has been released (Code)
Sep 26, 2024	One paper titled “Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving” was accepted by NeurIPS 2024
Aug 1, 2024	One paper titled “Drivearena: A closed-loop generative simulation platform for autonomous driving” has been summited to the arXiv.org e-Print archive (Project Page)
Apr 29, 2024	InternVL 1.5 (an open-source multimodal large language model) has been released (Code, Paper, Model and Dataset)
Mar 31, 2024	LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving was accepted by IEEE IV 2024 (Code and Paper)
Jan 19, 2024	One paper titled “DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models” has been accepted for publication at the Twelfth International Conference on Learning Representations (ICLR 2024)
Dec 24, 2023	One paper titled “How drivers perform under different scenarios: Ability-related driving style extraction for large-scale dataset” has been accepted for publication in the Accident Analysis & Prevention
Dec 12, 2023	One paper titled “Towards Knowledge-driven Autonomous Driving” has been summited to the arXiv.org e-Print archive
Dec 10, 2023	One paper titled “Human-like Decision-making at Unsignalized Intersection using Social Value Orientation” has been accepted for publication in the IEEE Intelligent Transportation Systems Magazine
Dec 6, 2023	One paper titled “Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future” has been summited to the arXiv.org e-Print archive
Nov 28, 2023	One paper titled “On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving” has been summited to the arXiv.org e-Print archive
Oct 24, 2023	One paper titled “Spatiotemporal-restricted A* algorithm as a support for lane-free traffic at intersections with mixed flows” has been accepted for publication in the Green Energy and Intelligent Transportation
Oct 13, 2023	Our team won the Second Prize in the “Model Algorithm Simulation Competition” at Internet of Vehicle Competition of the 2023 China International Internet of Vehicle Technology Conference (organized by the China Institute of Communications)
Jul 27, 2023	One paper titled “A computationally efficient and refined signal control method for isolated intersections in a connected vehicle environment” has been accepted for publication in the Expert Systems With Applications
Jul 15, 2023	A Long-term Interactive Multi-scenario traffic Simulator (LimSim) is released (Code and Paper)
Jul 15, 2023	One paper titled “Trajectory Guidance for Connected Human-driving Vehicles through the Interactions between Drivers and Roadside Units” has been accepted for publication in the Journal of Transportation Engineering, Part A: Systems
Jul 13, 2023	Two papers titled “LimSim: A Long-term Interactive Multi-scenario Traffic Simulator” and “RoW-based Parallel Control for Mix Traffic Scenario: A case study on Lane-Changing” have been accepted for publication at the 26th International Conference on Intelligent Transportation Systems (ITSC 2023)
May 22, 2023	One paper titled “Incremental path planning: reservation system in V2X environment” has been accepted for publication in the Physica A: Statistical Mechanics and its Applications
May 10, 2023	One paper titled “Hybrid cooperative intersection management for connected automated vehicles and pedestrians” has been accepted for publication in the Journal of Intelligent and Connected Vehicles
Jan 3, 2023	One paper titled “Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework” has been accepted for publication as an extended abstract and for poster presentation at the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)

selected publications

WACV

Drive like a human: Rethinking autonomous driving with large language models

Daocheng Fu, Xin Li, Licheng Wen, and 4 more authors

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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ICLR

On the Road with GPT-4V (ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent

Licheng Wen, Xuemeng Yang, Daocheng Fu, and 8 more authors

In ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024

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AAP

How drivers perform under different scenarios: ability-related driving style extraction for large-scale dataset

Yingbang Zang, Licheng Wen, Pinlong Cai, and 5 more authors

Accident Analysis & Prevention, 2024

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JTEA

Trajectory guidance for connected human-driving vehicles through the interactions between drivers and roadside units

Pinlong Cai, and Guangquan Lu

Journal of transportation engineering, Part A: Systems, 2023

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ITSM

Human-Like Decision Making at Unsignalized Intersections Using Social Value Orientation

Yan Tong, Licheng Wen, Pinlong Cai, and 4 more authors

IEEE Intelligent Transportation Systems Magazine, 2024

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ITSC

LimSim: A long-term interactive multi-scenario traffic simulator

Licheng Wenl, Daocheng Fu, Song Mao, and 4 more authors

In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023

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TITS

Tunable and transferable RBF model for short-term traffic forecasting

Pinlong Cai, Yunpeng Wang, and Guangquan Lu

IEEE Transactions on Intelligent Transportation Systems, 2018

Bib HTML

@article{cai2018tunable,
  title = {Tunable and transferable {RBF} model for short-term traffic forecasting},
  author = {Cai, Pinlong and Wang, Yunpeng and Lu, Guangquan},
  journal = {IEEE Transactions on Intelligent Transportation Systems},
  volume = {20},
  number = {11},
  pages = {4134--4144},
  year = {2018},
  publisher = {IEEE},
}

TRC

A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting

Pinlong Cai, Yunpeng Wang, Guangquan Lu, and 3 more authors

Transportation Research Part C: Emerging Technologies, 2016

Bib HTML

@article{cai2016spatiotemporal,
  title = {A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting},
  author = {Cai, Pinlong and Wang, Yunpeng and Lu, Guangquan and Chen, Peng and Ding, Chuan and Sun, Jianping},
  journal = {Transportation Research Part C: Emerging Technologies},
  volume = {62},
  pages = {21--34},
  year = {2016},
  publisher = {Elsevier},
}

JICV

Hybrid cooperative intersection management for connected automated vehicles and pedestrians

Pinlong Cai, Jia He, and Yikang Li

Journal of Intelligent and Connected Vehicles, 2023

Bib HTML

@article{cai2023hybrid,
  title = {Hybrid cooperative intersection management for connected automated vehicles and pedestrians},
  author = {Cai, Pinlong and He, Jia and Li, Yikang},
  journal = {Journal of Intelligent and Connected Vehicles},
  year = {2023},
  publisher = {TUP},
}

Physica A

Incremental path planning: Reservation system in V2X environment

Daocheng Fu, Pinlong Cai, Yilun Lin, and 3 more authors

Physica A: Statistical Mechanics and its Applications, 2023

Bib HTML

@article{fu2023incremental,
  title = {Incremental path planning: Reservation system in V2X environment},
  author = {Fu, Daocheng and Cai, Pinlong and Lin, Yilun and Mao, Song and Wen, Licheng and Li, Yikang},
  journal = {Physica A: Statistical Mechanics and its Applications},
  pages = {128914},
  year = {2023},
  publisher = {Elsevier},
}

ITSC

General driving behavior model based on the desired safety margin for vehicle flow simulation

Pinlong Cai, Junjie Zhang, Xuan Zhao, and 1 more author

In International Conference on Intelligent Transportation Systems, 2022

Bib HTML

@inproceedings{cai2022general,
  title = {General driving behavior model based on the desired safety margin for vehicle flow simulation},
  author = {Cai, Pinlong and Zhang, Junjie and Zhao, Xuan and Li, Yikang},
  booktitle = {International Conference on Intelligent Transportation Systems},
  pages = {743--748},
  year = {2022},
  organization = {IEEE},
}

TRC

Cooperative autonomous traffic organization method for connected automated vehicles in multi-intersection road networks

Yunpeng Wang, Pinlong Cai, and Guangquan Lu

Transportation Research Part C: Emerging Technologies, 2020

Bib HTML

@article{wang2020cooperative,
  title = {Cooperative autonomous traffic organization method for connected automated vehicles in multi-intersection road networks},
  author = {Wang, Yunpeng and Cai, Pinlong and Lu, Guangquan},
  journal = {Transportation Research Part C: Emerging Technologies},
  volume = {111},
  pages = {458--476},
  year = {2020},
  publisher = {Elsevier},
}