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Linchao Li
Linchao Li
Shenzhen University
Подтвержден адрес электронной почты в домене szu.edu.cn
Название
Процитировано
Процитировано
Год
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
1872019
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
1772018
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
1042020
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
1032019
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
882016
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
852020
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
642018
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
582022
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
582019
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
572019
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
552014
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
542021
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
512021
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
502018
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
452020
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
452020
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
422019
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
282020
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
272020
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, 1-13, 2022
252022
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