Prof. Wu Jianqing
Shandong university, China
Speech title：Emerging methods about traffic safety-critical technologies
Road traffic injuries have become the eighth leading cause of death for people of all ages, which remains a serious problem globally. Multi-vehicle (MV) crashes and Vehicle-pedestrian (VP) crashes have been a major concern for traffic safety. Random parameters logit model with heterogeneities in the means and variances was developed to identify the critical contributing factors of MV crashes. The emerging roadside light detection and ranging (LiDAR) has been deployed for VP near-crashes detection. A comprehensive database was built based on the data collected in different countries. Detailed data processing algorithms and safety analysis will be introduced. The innovate methods were evaluated using the data collected in different sites.
Jianqing Wu is a professor at Shandong University. He is the Qilu Young Scholar, the American Society of Civil Engineers and the Institute of Electrical and Electronics Engineers. His major research field is intelligent transportation systems, traffic safety and natural driving data analysis. Prof. Wu has published more than 30 SCI/SSCI papers in well-known journals, such as AAP, IEEE ITSM and TRR. Besides that, he was rewarded with the ITE Science and Technology Progress Award, TRB Outstanding Paper and Science and Technology Award of the Federal Highway Administration. Prof. Wu has hosted 10 projects with the funding of more than ten million.