| Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm L Li, L Qin, X Qu, J Zhang, Y Wang, B Ran Knowledge-Based Systems 172, 1-14, 2019 | 192 | 2019 |
| Missing value imputation for traffic-related time series data based on a multi-view learning method L Li, J Zhang, Y Wang, B Ran IEEE Transactions on Intelligent Transportation Systems 20 (8), 2933-2943, 2018 | 182 | 2018 |
| The relation between working conditions, aberrant driving behaviour and crash propensity among taxi drivers in China Y Wang, L Li, CG Prato Accident Analysis & Prevention 126, 17-24, 2019 | 111 | 2019 |
| Automated traffic incident detection with a smaller dataset based on generative adversarial networks Y Lin, L Li, H Jing, B Ran, D Sun Accident Analysis & Prevention 144, 105628, 2020 | 109 | 2020 |
| Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model L Li, B Du, Y Wang, L Qin, H Tan Knowledge-Based Systems 194, 105592, 2020 | 88 | 2020 |
| Short‐term highway traffic flow prediction based on a hybrid strategy considering temporal–spatial information L Li, S He, J Zhang, B Ran Journal of Advanced Transportation 50 (8), 2029-2040, 2016 | 87 | 2016 |
| Short-to-medium term passenger flow forecasting for metro stations using a hybrid model L Li, Y Wang, G Zhong, J Zhang, B Ran KSCE Journal of Civil Engineering 22, 1937-1945, 2018 | 64 | 2018 |
| Real-time traffic incident detection based on a hybrid deep learning model L Li, Y Lin, B Du, F Yang, B Ran Transportmetrica A: transport science 18 (1), 78-98, 2022 | 63 | 2022 |
| A new solution for freeway congestion: Cooperative speed limit control using distributed reinforcement learning C Wang, J Zhang, L Xu, L Li, B Ran IEEE Access 7, 41947-41957, 2019 | 62 | 2019 |
| A data-driven inertial navigation/Bluetooth fusion algorithm for indoor localization J Chen, B Zhou, S Bao, X Liu, Z Gu, L Li, Y Zhao, J Zhu, Q Li IEEE Sensors Journal 22 (6), 5288-5301, 2021 | 60 | 2021 |
| Traffic speed prediction for intelligent transportation system based on a deep feature fusion model L Li, X Qu, J Zhang, Y Wang, B Ran Journal of Intelligent Transportation Systems 23 (6), 605-616, 2019 | 58 | 2019 |
| Professional drivers’ views on risky driving behaviors and accident liability: a questionnaire survey in Xining, China Y Wang, L Li, L Feng, H Peng Transportation letters 6 (3), 126-135, 2014 | 58 | 2014 |
| A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems L Li, H Zhou, H Liu, C Zhang, J Liu Structural Health Monitoring 20 (4), 1778-1793, 2021 | 54 | 2021 |
| Travel time prediction for highway network based on the ensemble empirical mode decomposition and random vector functional link network L Li, X Qu, J Zhang, H Li, B Ran Applied Soft Computing 73, 921-932, 2018 | 52 | 2018 |
| A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction L Li, X Sheng, B Du, Y Wang, B Ran Engineering Applications of Artificial Intelligence 93, 103686, 2020 | 48 | 2020 |
| Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data L Li, J Zhu, H Zhang, H Tan, B Du, B Ran Transportation Research Part A: Policy and Practice 136, 282-292, 2020 | 48 | 2020 |
| Revealing the varying impact of urban built environment on online car-hailing travel in spatio-temporal dimension: An exploratory analysis in Chengdu, China T Li, P Jing, L Li, D Sun, W Yan Sustainability 11 (5), 1336, 2019 | 44 | 2019 |
| Missing data estimation method for time series data in structure health monitoring systems by probability principal component analysis L Li, H Liu, H Zhou, C Zhang Advances in Engineering Software 149, 102901, 2020 | 31 | 2020 |
| Passenger flow prediction using smart card data from connected bus system based on interpretable xgboost L Zou, S Shu, X Lin, K Lin, J Zhu, L Li Wireless Communications and Mobile Computing 2022 (1), 5872225, 2022 | 30 | 2022 |
| Ranking contributors to traffic crashes on mountainous freeways from an incomplete dataset: A sequential approach of multivariate imputation by chained equations and random … L Li, CG Prato, Y Wang Accident Analysis & Prevention 146, 105744, 2020 | 28 | 2020 |
Bin RanUniversity of Wisconsin at Madison在 wisc.edu 的电子邮件经过验证
