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Xiaolei Ma
Xiaolei Ma
Professor, Beihang University
Overená e-mailová adresa na: buaa.edu.cn - Domovská stránka
Názov
Citované v
Citované v
Rok
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
X Ma, Z Tao, Y Wang, H Yu, Y Wang
Transportation Research Part C: Emerging Technologies 54, 187-197, 2015
23122015
Learning traffic as images: A deep convolutional neural network for large-scale transportation network speed prediction
X Ma, Z Dai, Z He, J Ma, Y Wang, Y Wang
sensors 17 (4), 818, 2017
15452017
Mining Smart Card Data for Transit Riders' Travel Patterns
X Ma, YJ Wu, Y Wang, F Chen, J Liu
Transportation Research Part C: Emerging Technologies 36, 1-12, 2013
7922013
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
H Yu, Z Wu, S Wang, Y Wang, X Ma
Sensors 17 (7), 1501, 2017
6882017
Large-scale transportation network congestion evolution prediction using deep learning theory
X Ma, H Yu, Y Wang, Y Wang
PloS one 10 (3), e0119044, 2015
6132015
Understanding commuting patterns using transit smart card data
X Ma, C Liu, H Wen, Y Wang, YJ Wu
Journal of Transport Geography 58, 135-145, 2017
3962017
A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership
X Ma, J Zhang, C Ding, Y Wang
Computers, Environment and Urban Systems 70, 113-124, 2018
2742018
Forecasting short-term subway passenger flow under special events scenarios using multiscale radial basis function networks
Y Li, X Wang, S Sun, X Ma, G Lu
Transportation Research Part C: Emerging Technologies 77, 306-328, 2017
2592017
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
2512017
Predicting short-term subway ridership and prioritizing its influential factors using gradient boosting decision trees
C Ding, D Wang, X Ma, H Li
Sustainability 8 (11), 1100, 2016
2022016
Parallel architecture of convolutional bi-directional LSTM neural networks for network-wide metro ridership prediction
X Ma, J Zhang, B Du, C Ding, L Sun
IEEE Transactions on Intelligent Transportation Systems 20 (6), 2278-2288, 2018
1942018
Profit distribution in collaborative multiple centers vehicle routing problem
Y Wang, X Ma, Z Li, Y Liu, M Xu, Y Wang
Journal of cleaner production 144, 203-219, 2017
1882017
Learning dynamic and hierarchical traffic spatiotemporal features with transformer
H Yan, X Ma, Z Pu
IEEE Transactions on Intelligent Transportation Systems 23 (11), 22386-22399, 2021
1752021
Two-echelon location-routing optimization with time windows based on customer clustering
Y Wang, K Assogba, Y Liu, X Ma, M Xu, Y Wang
Expert Systems with Applications 104, 244-260, 2018
1582018
Forecasting transportation network speed using deep capsule networks with nested LSTM models
X Ma, H Zhong, Y Li, J Ma, Z Cui, Y Wang
IEEE Transactions on Intelligent Transportation Systems 22 (8), 4813-4824, 2020
1462020
A fuzzy-based customer clustering approach with hierarchical structure for logistics network optimization
Y Wang, X Ma, Y Lao, Y Wang
Expert systems with applications 41 (2), 521-534, 2014
1402014
Impacts of free-floating bikesharing system on public transit ridership
X Ma, X Zhang, X Li, X Wang, X Zhao
Transportation research part D: transport and environment 76, 100-110, 2019
1372019
Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development
X Ma, X Chen, X Li, C Ding, Y Wang
Journal of Cleaner Production 170, 1052-1063, 2018
1302018
Cooperation and profit allocation in two-echelon logistics joint distribution network optimization
Y Wang, X Ma, M Liu, K Gong, Y Liu, M Xu, Y Wang
Applied Soft Computing 56, 143-157, 2017
1232017
Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction
Z Cui, R Ke, Z Pu, X Ma, Y Wang
Transportation Research Part C: Emerging Technologies 115, 102620, 2020
1222020
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20