| Real-time crash risk prediction on arterials based on LSTM-CNN P Li, M Abdel-Aty, J Yuan Accident Analysis & Prevention 135, 105371, 2020 | 297 | 2020 |
| Prediction of pedestrian crossing intentions at intersections based on long short-term memory recurrent neural network S Zhang, M Abdel-Aty, J Yuan, P Li Transportation research record 2674 (4), 57-65, 2020 | 71 | 2020 |
| Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network S Zhang, M Abdel-Aty, Q Cai, P Li, J Ugan Accident Analysis & Prevention 148, 105799, 2020 | 46 | 2020 |
| Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data P Li, M Abdel-Aty, J Yuan Accident Analysis & Prevention 150, 105924, 2021 | 43 | 2021 |
| A deep learning approach to detect real-time vehicle maneuvers based on smartphone sensors P Li, M Abdel-Aty, Q Cai, Z Islam IEEE Transactions on Intelligent Transportation Systems 23 (4), 3148-3157, 2020 | 38 | 2020 |
| The application of novel connected vehicles emulated data on real-time crash potential prediction for arterials P Li, M Abdel-Aty, Q Cai, C Yuan Accident Analysis & Prevention 144, 2020 | 34* | 2020 |
| Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles A Kusari, P Li, H Yang, N Punshi, M Rasulis, S Bogard, DJ LeBlanc 2022 ieee intelligent vehicles symposium (IV), 829-835, 2022 | 33 | 2022 |
| A hybrid machine learning model for predicting real-time secondary crash likelihood P Li, M Abdel-Aty Accident Analysis & Prevention 165, 106504, 2022 | 23 | 2022 |
| Real-time crash likelihood prediction using temporal attention–based deep learning and trajectory fusion P Li, M Abdel-Aty Journal of transportation engineering, Part A: Systems 148 (7), 04022043, 2022 | 16 | 2022 |
| Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems J Dong, S Chen, M Miralinaghi, T Chen, P Li, S Labi Transportation research part C: emerging technologies 156, 104358, 2023 | 15 | 2023 |
| Real-time big data analytics and proactive traffic safety management visualization system M Abdel-Aty, O Zheng, Y Wu, A Abdelraouf, H Rim, P Li Journal of transportation engineering, Part A: Systems 149 (8), 04023064, 2023 | 9 | 2023 |
| A novel traffic simulation framework for testing autonomous vehicles using sumo and carla P Li, A Kusari, DJ LeBlanc arXiv preprint arXiv:2110.07111, 2021 | 8 | 2021 |
| Driving maneuvers detection using semi-supervised long short-term memory and smartphone sensors P Li, M Abdel-Aty, Z Islam Transportation research record 2675 (9), 1386-1397, 2021 | 7 | 2021 |
| Using Smartphone as On-board unit (OBU) Emulator Implementation Study MA Abdel-Aty, Q Cai, S Agarwal, Z Islam, P Li, S Zhang, D Hasan, ... University of Central Florida, 2020 | 7 | 2020 |
| Calculation of external costs of road and railway freight transportation and internalization R Zhang, P Li Transportation Research Board 95th Annual Meeting 16, 2507-2522, 2016 | 7 | 2016 |
| Improving spatiotemporal transferability of real-time crash likelihood prediction models using transfer-learning approaches P Li, M Abdel-Aty, S Zhang Transportation research record 2676 (11), 621-631, 2022 | 5 | 2022 |
| How does c-v2x perform in urban environments? results from real-world experiments on urban arterials P Li, K Wu, Y Cheng, ST Parker, DA Noyce IEEE Transactions on Intelligent Vehicles, 2023 | 3 | 2023 |
| A deep learning approach for real-time crash risk prediction at urban arterials P Li | 3 | 2020 |
| A probabilistic framework for estimating the risk of pedestrian-vehicle conflicts at intersections P Li, H Guo, S Bao, A Kusari IEEE Transactions on Intelligent Transportation Systems, 2023 | 2 | 2023 |
| Demystifying deep reinforcement learning-based autonomous vehicle decision-making H Wan, P Li, A Kusari arXiv preprint arXiv:2403.11432, 2024 | 1 | 2024 |
M Abdel-AtyUniversity of Central Florida在 ucf.edu 的电子邮件经过验证
