About the Lab

TR Meta Lab, established by Professor [Chen Wang]，is affiliated with the Intelligent Transportation Systems Research Center and the School of Transportation at Southeast University. The discipline it belongs to, Transportation Engineering, consistently ranks first nationwide in the Ministry of Education’s discipline assessment.

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1. Personnel Composition

TR Meta Lab consists of a team comprising a professor (fully) [Chen Wang], a professor (Associate) [Wenbo Zhang], a lecturer [Yueru Xu], 6 PhD students and over 20 Master’s students. The detailed information of all members can be found [here]

2. Research Directions

The main research directions of TR Meta Lab include but are not limited to:

  • Intelligent transportation systems, especially AI-based vehicle-road cooperative perception technology. The team focuses closely on perception tasks such as detecting traffic participants, road accidents/anomalies, and recognizing/predicting pedestrian crossing intentions/trajectories. By integrating advanced technologies such as deep CNN/transformer networks, few-shot learning, domain adaptation, and multimodal large models, the team has achieved efficient and precise perception at the road and vehicle levels. This lays a solid foundation for the intelligent and automated development of intelligent transportation systems.

  • Active traffic safety： with a commitment to explore every available avenue for reducing fatalities and serious injuries on roadways. The team’s focus lies in analyzing crash factors, uncovering the coupling relationship related to driving behavior, road alignment/environment, etc., and utilizing safety indicators to measure the spatial and/or temporal proximity of safety-critical events. Moreover, the team is dedicated to providing active intervention and risk alerting for high-risk scenarios by integrating V2X and ADAS technology, thus providing invaluable insights for crash prevention and roadway design.

  • Intelligent/Autonomous driving： mainly involved in autonomous driving safety analysis and perception. The autonomous driving safety analysis focuses on crash risk measure as well as risky driving behavior & safety, while perception leans towards pedestrian crossing intention recognition, trajectory prediction, and accident prediction from the in-vehicle perspective.

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3. Research Output

Under the leadership of Wang, the lab has published over 70 journal articles in top-tier journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C/F, Accident Analysis and Prevention, and Automation in Construction , as well as presented more than 20 conference papers (such as Transportation Research Board Annual Meeting) and related reports at international conferences. Additionally, the team has been granted/published 30 Chinese invention patents and authored a Chinese textbook titled ‘Road Traffic Visual Perception Technology and Applications’.

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4. Research Projects

The TR Meta Lab has undertaken 15+ research projects, with a total funding exceeding 50 million RMB (approximately 7 million USD), including but not limited to:

  • National Key R&D Program Inter-Governmental Innovation Cooperation Project, Rapid Recovery and Control Technology for Urban Traffic in Accident Environments Based on Artificial Intelligence, 2023-10 to 2026-11, 2.5 million RMB, Principal Investigator

  • Jiangsu Province Distinguished Youth Fund Project, Intelligent Prevention and Control of Road Traffic Safety Risks, 2023-11 to 2026-11, 1.5 million RMB, Principal Investigator

  • Jiangsu Province Major Special Project for Achievements Transformation, Research and Development of Active Control System for Road Traffic Signal Based on Vehicle-Road Cooperation, 2023-1 to 2026-6, 40 million RMB, Principal Investigator

  • National Natural Science Foundation of China, General Project, Safety Risk Identification and Multi-Objective Cooperative Optimization of Planar Intersection Intelligent Connected Mixed Traffic Queue Stability, 2020-01-01 to 2023-12-31, 460,000 RMB, Principal Investigator

  • National Natural Science Foundation of China, Youth Project, Research on Traffic Conflict Chain Phenomenon Analysis for Road Traffic Safety Design, 2017-01-01 to 2019-12-31, 200,000 RMB, Principal Investigator

  • Shanghai Qianxi Information Technology Co., Ltd., Enterprise Commissioned Technology Research Project, Traffic Digital Twin System Development, 2021-04 to 2024-12, 3 million RMB, Principal Investigator

  • Purple Mountain Laboratory, Major Research Project, Smart Urban Traffic Management and Service Technology in Intelligent Connected Environment, 2021-01 to 2023-12, 30 million RMB, Lead of Project Three