TIME & LOCATION
Sep 19, 2025 15:00-17:00
Room 331, School of Transportation
INTRODUCTION
China’s leap forward in intelligent vehicles is being held back by a single bottleneck: the testing and evaluation system for autonomous driving. Limited scenario coverage, overly complex tools, and low assessment efficiency all undermine the scientific rigor and credibility of test results.This talk will outline the scientific and engineering challenges that the OnSite public service platform was built to solve, along with the technical solutions and practical lessons learned along the way. Drawing on three successive algorithm challenges, the talk will analyze how the platform has spurred research innovation, tightened industry–academia collaboration, and advanced the development of industry standards. Finally, the platform’s potential role—and its next evolutionary steps—in the end-to-end autonomous-driving era.
ABOUT THE LECTURER
Tian Ye is a tenured professor and doctoral supervisor at Tongji University. His research focuses on autonomous-driving simulation testing and large-scale traffic-network simulation. He previously studied and worked at the College of Civil Engineering and Chu Kochen Honors College of Zhejiang University, the University of Arizona, and Metropia Inc. in the United States. Prof. Tian has led three projects funded by the National Natural Science Foundation of China and one major project task under the Ministry of Science and Technology, as well as multiple industry-university-research collaborations with leading companies such as Tencent and SAIC. He has published more than 50 SCI/SSCI journal articles and received the First-Class Science and Technology Award of the China Communications and Transportation Association (ranked first) and the First-Class Technical Invention Award of Shanghai (ranked second). He developed the dynamic traffic simulation software DynusT and the autonomous-driving public-service platform OnSite (onsite.com.cn), which was featured on the official website of the National Natural Science Foundation of China.