Artiklar med krav på offentlig åtkomst - Yinhai WangLäs mer
Inte tillgängliga någonstans: 81
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
Krav: National Natural Science Foundation of China
Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning
W Zhang, Y Yu, Y Qi, F Shu, Y Wang
Transportmetrica A: Transport Science 15 (2), 1688-1711, 2019
Krav: National Natural Science Foundation of China
Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies
Z Zhang, M Li, X Lin, Y Wang, F He
Transportation research part C: emerging technologies 105, 297-322, 2019
Krav: National Natural Science Foundation of China
Daily long-term traffic flow forecasting based on a deep neural network
L Qu, W Li, W Li, D Ma, Y Wang
Expert Systems with applications 121, 304-312, 2019
Krav: National Natural Science Foundation of China
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
Krav: National Natural Science Foundation of China
Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network
J Tang, J Liang, F Liu, J Hao, Y Wang
Transportation Research Part C: Emerging Technologies 124, 102951, 2021
Krav: National Natural Science Foundation of China
Revealing intra-urban travel patterns and service ranges from taxi trajectories
S Zhang, J Tang, H Wang, Y Wang, S An
Journal of Transport Geography 61, 72-86, 2017
Krav: National Natural Science Foundation of China
Exploring dynamic property of traffic flow time series in multi-states based on complex networks: Phase space reconstruction versus visibility graph
J Tang, F Liu, W Zhang, S Zhang, Y Wang
Physica A: Statistical Mechanics and its Applications 450, 635-648, 2016
Krav: National Natural Science Foundation of China
Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data
Z Zhang, M Li, X Lin, Y Wang
Transportation Research Part C: Emerging Technologies 121, 102870, 2020
Krav: National Natural Science Foundation of China
A systematic approach for collision risk analysis based on AIS data
W Zhang, C Kopca, J Tang, D Ma, Y Wang
The Journal of Navigation 70 (5), 1117-1132, 2017
Krav: National Natural Science Foundation of China
Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network
Y Li, D Ma, M Zhu, Z Zeng, Y Wang
Accident Analysis & Prevention 111, 354-363, 2018
Krav: National Natural Science Foundation of China
Exploring the influential factors in incident clearance time: disentangling causation from self-selection bias
C Ding, X Ma, Y Wang, Y Wang
Accident Analysis & Prevention 85, 58-65, 2015
Krav: National Natural Science Foundation of China
A customized deep learning approach to integrate network-scale online traffic data imputation and prediction
Z Zhang, X Lin, M Li, Y Wang
Transportation Research Part C: Emerging Technologies 132, 103372, 2021
Krav: National Natural Science Foundation of China
Driver distraction detection based on vehicle dynamics using naturalistic driving data
X Wang, R Xu, S Zhang, Y Zhuang, Y Wang
Transportation research part C: emerging technologies 136, 103561, 2022
Krav: National Natural Science Foundation of China
Network-level multiband signal coordination scheme based on vehicle trajectory data
H Yan, F He, X Lin, J Yu, M Li, Y Wang
Transportation Research Part C: Emerging Technologies 107, 266-286, 2019
Krav: National Natural Science Foundation of China
A spatiotemporal approach for traffic data imputation with complicated missing patterns
H Li, M Li, X Lin, F He, Y Wang
Transportation research part C: emerging technologies 119, 102730, 2020
Krav: National Natural Science Foundation of China
Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change
Z Pu, Z Li, J Ash, W Zhu, Y Wang
Transportation Research Part C: Emerging Technologies 77, 67-79, 2017
Krav: US Department of Transportation
Customized bus route design with pickup and delivery and time windows: Model, case study and comparative analysis
X Chen, Y Wang, Y Wang, X Qu, X Ma
Expert Systems with Applications 168, 114242, 2021
Krav: National Natural Science Foundation of China
Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory
J Tang, X Zhang, W Yin, Y Zou, Y Wang
Journal of Intelligent Transportation Systems 25 (5), 439-454, 2021
Krav: National Natural Science Foundation of China
Integrated optimization for commuting customized bus stop planning, routing design, and timetable development with passenger spatial-temporal accessibility
X Chen, Y Wang, X Ma
IEEE Transactions on Intelligent Transportation Systems 22 (4), 2060-2075, 2021
Krav: National Natural Science Foundation of China
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