Main Experience |
2022.9 to present: LogisticsSchool, BWU 2017.9-2022.9 Doctor of Control Science and Engineering, School of Transportation, Beijing Jiaotong University 2019.9 to 2021.7, jointly trained by the National Public School of Econometrics and Applied Statistics, School of Economics, University of Barcelona |
Research Direction |
Driving risk and Internet of Vehicles insurance, data mining and analysis, regression analysis and modeling prediction, transportation big data and machine learning, applied econometrics, etc |
Academic Achievements |
[1]Sun Shuai, Jun Bi, Montserrat Guillen, and Ana M. Pérez-Marín. "Driving risk assessment using near-miss events based on panel Poisson regression and panel negative binomial regression." Entropy 23.7 (2021): 829. (SCI) [2]Sun, Shuai, Jun Bi, Montserrat Guillen, and Ana M. Pérez-Marín. "Assessing driving risk using internet of vehicles data: an analysis based on generalized linear models." Sensors 20, no. 9 (2020): 2712. (SCI) [3]Sun Shuai, Jun Zhang, Jun Bi, and Yongxing Wang. "A machine learning method for predicting driving range of battery electric vehicles." Journal of Advanced Transportation 2019 (2019). (SCI) [4]Sun Shuai, Jun Bi, Montserrat Guillen, and Ana Maria Pérez-Marín. "Regression scores to identify risky drivers from braking pulses." (2020): 59-67. (CPCI) [5]Sun Shuai, et al. "Gender and emotion influence on the head-on time-to-collision estimation." CICTP 2017: Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation. Reston, VA: American Society of Civil Engineers, 2018. 4360-4368. (EI_CA) [6] Sun Shuai, Yu Rende "Research on the application of blind walking paradigm in the perception experiment of automobile drivers." Science, Technology and Engineering, 2017, 17 (6): 6 |
Research Achievements |
[1] Preside over the basic scientific research projects of central colleges and universities, research on driving risk prediction and Internet of Vehicles insurance based on driving behavior [2] Participated in the National Natural Science Foundation of China, modeling and optimization of travel charging guidance for multi dimension preferences of electric vehicle users [3] Participated in the national key research and development projects, and integrated and demonstrated the whole process real-time monitoring and intelligent control technology of construction waste |