| Convolutional neural networks with refined loss functions for the real-time crash risk analysis R Yu, Y Wang, Z Zou, L Wang Transportation research part C: emerging technologies 119, 102740, 2020 | 91 | 2020 |
| A marginalized random effects hurdle negative binomial model for analyzing refined-scale crash frequency data R Yu, Y Wang, M Quddus, J Li Analytic methods in accident research 22, 100092, 2019 | 38 | 2019 |
| Safety performance boundary identification of highly automated vehicles: A surrogate model-based gradient descent searching approach Y Wang, R Yu, S Qiu, J Sun, H Farah IEEE Transactions on Intelligent Transportation Systems 23 (12), 23809-23820, 2022 | 29 | 2022 |
| Characterizing behavioral differences of autonomous vehicles and human-driven vehicles at signalized intersections based on Waymo Open Dataset Y Wang, H Farah, R Yu, S Qiu, B van Arem Transportation research record 2677 (11), 324-337, 2023 | 15 | 2023 |
| Investigating vehicle roadway usage patterns on the Shanghai urban expressway system and their impacts on traffic safety R Yu, Y Wang, M Quddus, J Li, X Wang, Y Tian International journal of sustainable transportation 15 (3), 217-228, 2021 | 8 | 2021 |
| Utilizing Structure Equation Model to Analyze Multi-Crash Contributing Factors for Shanghai Urban Expressway System R Yu, Y Wang, Y Zheng 2019 5th International Conference on Transportation Information and Safety …, 2019 | | 2019 |