| Prioritizing influential factors for freeway incident clearance time prediction using the gradient boosting decision trees method X Ma, C Ding, S Luan, Y Wang, Y Wang IEEE Transactions on Intelligent Transportation Systems 18 (9), 2303-2310, 2017 | 228 | 2017 |
| Traffic congestion propagation inference using dynamic Bayesian graph convolution network S Luan, R Ke, Z Huang, X Ma Transportation research part C: emerging technologies 135, 103526, 2022 | 43 | 2022 |
| Spatial copula model for imputing traffic flow data from remote microwave sensors X Ma, S Luan, B Du, B Yu Sensors 17 (10), 2160, 2017 | 27 | 2017 |
| Spatial interpolation of missing annual average daily traffic data using copula-based model X Ma, S Luan, C Ding, H Liu, Y Wang IEEE Intelligent Transportation Systems Magazine 11 (3), 158-170, 2019 | 24 | 2019 |
| Effects of built environment on bicycle wrong Way riding behavior: A data-driven approach S Luan, M Li, X Li, X Ma Accident Analysis & Prevention 144, 105613, 2020 | 21 | 2020 |
| Modeling travel time volatility using copula-based Monte Carlo simulation method for probabilistic traffic prediction S Luan, X Chen, Y Su, Z Dong, X Ma Transportmetrica A: transport science 18 (1), 54-77, 2022 | 10 | 2022 |
| Detecting and interpreting non‐recurrent congestion from traffic and social media data S Luan, X Ma, M Li, Y Su, Z Dong IET Intelligent Transport Systems 15 (12), 1461-1477, 2021 | 7 | 2021 |
| A traffic dynamic operation risk assessment method using driving behaviors and traffic flow Data: An empirical analysis H Yang, X Zhao, S Luan, S Chai Expert Systems with Applications 249, 123619, 2024 | 3 | 2024 |
| Evaluating road network resilience under recurring and non-recurring incidents E Tan, B Liu, S Luan, X Ma, Z Zhang CICTP 2023, 659-669, 2023 | 2 | 2023 |
| Regional Truck Travel Characteristics Analysis and Freight Volume Estimation: Support for the Sustainable Development of Freight S Sun, M Gu, J Ou, Z Li, S Luan Sustainability 16 (15), 6317, 2024 | | 2024 |
