Dr. Junhua Wang is currently the professor in College of Transportation Engineering, Tongji University. His research interest includes Road Safety, Connected Vehicle Operation, Highway Geometric Design and Incident Management and etc.. He took charge of 2 National Science fund project and 3 National Plan for Science & Technology Support Project. He published more than 100 papers andobtained 12 national invention patents. In addition, he got 1 National Science and Technology Award and more than 8 Province Science and Technology Awards. He was namedOutstanding Academic Leader in Shanghai, and Shanghai Pujiang Talent. The current Secretary General of the Engineering Research Center of the Ministry of Road Traffic Safety and Environment Education, as well as the Vice Chairman of the Safety and Environment Branch of the Shanghai Highway Society and the Editorial Board member of the《International Journal of Transportation Science and Technology》
Education
1997.9—2001.7 Department of Road and Traffic Engineering, Tongji University, Bachelor
2002.4—2003.8 Department of Engineering, University of Newcastle, Master of Engineering Management
2005.1—2008.5 School of Transportation Engineering, Tongji University, PhD
Experience
2022.2-2023.2 Visiting Scholar, Department of Civil & Environmental Engineering, University of Waterloo, Ca
2018.01-present Professor, School of Transportation Engineering, Tongji University
2014.9-2015.9 Visiting Scholar, Traffic Safety Research and Education Center, University of California, Berkeley, USA
2013.1-2017.12 Associate Professor, Department of Road and Airport Engineering, Tongji University
2008.5-2013.1 Tongji University, Department of Road and Airport Engineering, lecturer
2001.7-2002.4 Department of Road and Traffic Engineering, Tongji University, Research Assistant
Research interestsRoad Safety, Connected Vehicle Operation, Highway Geometric Design and Incident Management
Honors & Awards
2017 National Science and Technology Second Prize
2018 Shanghai Science and Technology Progress First Prize
2022 Ministry of Public Security Science and Technology Progress First Prize
2023 and 2018 China Highway Society First Prize
2017 Ministry of Education Excellent Achievement Second Prize
2012Ministry of Public Security Science and Technology Progress Second Prize
2011Hebei Province Science and Technology Progress Second Prize,
2014 Jiangsu Province Science and Technology Progress Second Prize
Recent Publications
1.Wang Junhua, Li Chengmin, Xiao Bin, Xiang Jinxing, Wang Ge "Fine Governance Example of Right Turn Vehicles and Non Motor Vehicles at Intersections of Trunk Highways" Automotive and Safety 2021 (03): 90-95
2.Shangguan, Q., Wang, J., Fu, T.*, & Fang, S. E. "Quantification of cut-in risk and analysis of its influencing factors: a study using random parameters ordered probit model" Journal Transportation Safety & Security 2022，14(12)：2029-2054
3.Shangguan, Q., Fu, T., Wang, J.*, & Luo, T. An integrated methodology for real-time driving risk status prediction using naturalistic driving data Accident Analysis & Prevention 156, 106122
4.Shangguan, Q., Fu, T.*, Wang, J., Jiang, R., & Fang, S. E. Quantification of rear-end crash risk and analysis of its influencing factors based on a new surrogate safety measure Journal of advanced transportation , 2021: 5551273.
5.Wang, J., Song, H., Fu, T.*, Behan, M., Jie, L., He, Y., & Shangguan, Q. Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model International Journal of Transportation Science and Technology 2022, 11(3): 484-495
6.Wang, J., Xu, W., Fu, T., Gong, H., Shangguan, Q., & Sobhani, A. Modeling aggressive driving behavior based on graph construction Transportation Research Part C: Emerging Technologies
138, 103654
7.Xu, W., Wang, J., Fu, T., Gong, H., & Sobhani, A. Aggressive driving behavior prediction considering driver’s intention based on multivariate-temporal feature data Accident Analysis & Prevention 164, 106477
8.Wang, J., Fu, T., Xue, J., Li, C., Song, H., Xu, W., & Shangguan, Q. Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset International Journal of Transportation Science and Technology 2023, 12(1): 273-290
9.Xu, W., Wang, J., Fu, T., Sobhani, A., & Nabavi Niaki, M. Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model Journal of Advanced Transportation 2022: 1783392
10.Shangguan, Q., Fu, T., Wang, J., Fang, S. & Fu, L. A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns Accident Analysis & Prevention 164, 106500
11.Wang, J., Xu, W., Fu, T., & Jiang, R. Recognition of Trip-Based Aggressive Driving: A System Integrated With Gaussian Mixture Model Structured of Factor-Analysis, and Hierarchical Clustering IEEE Transactions on Intelligent Transportation Systems 2022, 23(11): 20442-20451
12.Xu Wenxiang, Wang Junhua, Fu Ting, "A Prediction Method for Dangerous Driving Behavior Based on Attention Mechanism and Hierarchical Network" Journal of Tongji University (Natural Science Edition) 2022, 50 (05): 722-730
13.Zhang Fangfang, Wang Changjun, Wang Junhua. "Vehicle Interaction Behavior Model in Urban Expressway Ramp Confluence Area." Chinese Journal of Highways 2022, 35 (9): 66-79
14.Tianyang Luo, Junhua Wang, Ting Fu, et al. Risk Prediction for Cut-ins using Multi-driver Simulation Data and Machine Learning Algorithms International Journal of Transportation Science and Technology DOI: 10.1016/j.ijtst.2022.12.001
15.Wang Junhua, Song Hao, Jing Qiang, Liu Kun, "A Global Vehicle Trajectory Detection Technology Method Based on Millimeter Wave Radar Group", Chinese Journal of Highways 2022, Vol. 35, Issue 12: 181-192
16.Wang J, Li C, Fu T, et al. Automated Lane-Level Road Geometry Estimation Using Microscopic Trajectory Data Journal of Advanced Transportation 2023 Dec 11;2023
17.Shangguan Q, Wang J, Fu T, et al. An empirical investigation of driver car-following risk evolution using naturistic driving data and random parameters multinomial logit model with heterogeneity in means and variances Analytic methods in accident research 2023, 38: 100265
18.Wang J, Fu T, Shangguan Q. Wide-area vehicle trajectory data based on advanced tracking and trajectory splicing technologies: Potentials in transportation research Accident Analysis & Prevention 2023, 186: 107044