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Renran Tian, Ph.D.: Improve Safety, Mobility, and Efficiency of Automated Driving Systems (ADS) through Computational Behavioral Analysis

Friday, August 24 at 12 p.m. in IT 252


Research on self-driving vehicle has gained a lot of attention in the past decade, which not only has great potentials to improve road safety, but also may revolutionarily change daily lives. Although significant progress was made towards fully autonomous driving, the current state-of the-art automated driving systems (ADS) still have many limitations preventing them from moving safely and efficiently in all road conditions. When trying to improve sensing capabilities, build more accurate road maps, or create better artificial intelligence algorithms, it is important to understand the role of human in ADS and address human behavior issues affecting driving safety and traffic efficiency. Computational behavioral analysis is a data-driven approach, which focuses on using modern methods from computer science and engineering to quantitatively model human behavior and measure human performance. This presentation will introduce some of my work in applying computational behavioral analysis to support the development and testing of ADS features, including three main parts: (1) driver-vehicle interaction with intelligent vehicle infotainment interface, (2) in-cabin human behavior monitoring, and (3) vehicle-VRU (vulnerable road users) interaction. The completed work has made prominent contributions in intelligent transportation systems research area, with continued research efforts to expand current knowledge towards ADS with higher automation levels.

About Renran Tian

Dr. Renran Tian is an assistant professor in the Department of Computer Information & Graphics Technology at Indiana University-Purdue University Indianapolis (IUPUI). He is also the co-director of HMI lab in Transportation Active Safety Institute at Purdue School of Engineering and Technology. He received his Ph.D. degree from the School of Industrial Engineering at Purdue University –West Lafayette in 2013. His research interests include autonomous driving, cyber-human system, computational behavior modeling, cognitive psychology, data mining and machine learning. He is member of IEEE, SAE, and TRB, and full member of HFES (Human Factors and Ergonomics Society). Dr. Tian has more than 10 years of research experiences in user experience study, cognitive modeling, computational behavior analysis, intelligent transportation system, autonomous driving, and vehicle testing. He has published over 30 technical papers in premier journals and international conferences. He serves as the co-chair of the Technical Activities Committee on Human Factors in IEEE Intelligent Transportation Systems Society, board member of International Conference on Human-Computer Interaction, and associate editor and session organizer for a list of other international conferences.