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Hao Song

Hao Song

International visiting graduate student
Department of Civil & Environmental Engineering
Faculty of Engineering
University of Waterloo
Office: E2 2219
E-mail: h5song@uwaterloo.ca

Past Research Activities

Hao Song is a PhD candidate in transportation engineering at Tongji University, supervised by Prof. Junhua Wang from 2018. He is currently a visiting PhD student at University of Waterloo under the supervision of Prof. Bruce Hellinga.

Research Interests

  • Highway Engineering
  • Road Safety
  • Traffic Management

Links

https://www.researchgate.net/profile/Hao-Song-27

Publications:

Junhua W, Hao S, Ting F, et al. Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model[J]. International Journal of Transportation Science and Technology, 2021.

Junhua Wang, Ting Fu, Jiangtian Xue, Chengmin Li, Hao Song, Wenxiang Xu, Qiangqiang Shangguan. Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset[J]. International Journal of Transportation Science and Technology,2022.

Junhua W, Hao S, Ting F, et al. Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model[C]. Annual Meeting of the Transportation Research Board, Washington, D.C., 2021.

Song H, Yang M, Wang X, et al. Invulnerability Reliability Evaluation Method of Urban Road Network in Emergent Evacuation System in Unexpected Disasters[C]. 19th COTA International Conference of Transportation Professionals. 2019.

Song H, Wang J. Combination Strategy of Dynamic Variable Speed Limit Method Based on Real-Time Crash Prediction Model for Highway[C]. 2019 5th International Conference on Transportation Information and Safety (ICTIS). 2019.