TSI Lab
Traffic Safety and Intelligence Laboratory (TSI Lab) centers its work on people. The lab studies traffic safety and intelligent transportation through virtual reality, human factors, human–machine interaction, travel behavior, maritime safety, and AI-driven transport modeling.
Latest lab news
Patent authorized! Congratulations on the successful authorisation of our invention patent ‘A method for predicting the severity of traffic accidents based on multi-dimensional audit screening’!
Paper accepted by Transportation Research Part F: Traffic Psychology and Behaviour! Congratulations on the acceptance of our paper entitled “Wait or cross? Understanding the influence of behavioral tendencies, trust, and risk perception on pedestrian gap-acceptance of automated truck platoons” by Transportation Research Part F: Traffic Psychology and Behaviour for publication!
Paper accepted by Reliability Engineering & System Safety! Congratulations on the acceptance of our paper entitled “Bayesian spatio-temporal modeling of Arctic maritime incidents with integrated nested Laplace approximation” by Reliability Engineering & System Safety for publication!
Paper accepted by Transportation Research Interdisciplinary Perspectives! Congratulations to Yuan Che on the acceptance of paper entitled “Enhancing safety in automated ports: A virtual reality study of pedestrian–autonomous vehicle interactions under time pressure, visual constraints, and varying vehicle size” by Transportation Research Interdisciplinary Perspectives for publication!
Paper accepted by Transpormetrica A: Transport Science! Congratulations on the acceptance of our paper entitled “Risk-aware pedestrian-vehicle interaction: A multi-objective Bayesian-optimized social force model” by Transportmetrica A: Transport Science for publication!
Patent authorized! Congratulations on the successful authorisation of our invention patent ‘A Method and System for Analyzing Influencing Factors of Economic Losses Due to Accidents’!
Paper accepted by Reliability Engineering & System Safety! Congratulations on the acceptance of our paper entitled “Varying effects of risk factors on economic losses from fishing vessel accidents: A Bayesian random-parameter quantile regression with heterogeneity in means” by Reliability Engineering & System Safety for publication!
Welcome Bin Fang, Meijiao Guo, and Tianci Guo join our lab!