Ziyuan Pu
Ziyuan Pu
Lecturer in Civil Engineering, Monash University
在 monash.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Deep bidirectional and unidirectional LSTM recurrent neural network for network-wide traffic speed prediction
Z Cui, R Ke, Z Pu, Y Wang
arXiv preprint arXiv:1801.02143, 2018
2582018
Characterization of ridesplitting based on observed data: A case study of Chengdu, China
W Li, Z Pu, Y Li, XJ Ban
Transportation Research Part C: Emerging Technologies 100, 330-353, 2019
572019
Comparing prediction performance for crash injury severity among various machine learning and statistical methods
J Zhang, Z Li, Z Pu, C Xu
IEEE Access 6, 60079-60087, 2018
382018
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
262017
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values
Z Cui, R Ke, Z Pu, Y Wang
Transportation Research Part C: Emerging Technologies 118, 102674, 2020
192020
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
M Zhu, Y Wang, Z Pu, J Hu, X Wang, R Ke
Transportation Research Part C: Emerging Technologies 117, 102662, 2020
192020
Time series association state analysis method for attacks on the smart internet of electric vehicle charging network
Q Li, Y Wang, Z Pu, S Wang, W Zhang
Transportation Research Record 2673 (4), 217-228, 2019
162019
A smart, efficient, and reliable parking surveillance system with edge artificial intelligence on IoT devices
R Ke, Y Zhuang, Z Pu, Y Wang
IEEE Transactions on Intelligent Transportation Systems, 2020
142020
Simulation of pedestrian behavior during the flashing green signal using a modified social force model
Z Zhou, Y Zhou, Z Pu, Y Xu
Transportmetrica A: transport science 15 (2), 1019-1040, 2019
132019
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
112020
New framework for automatic identification and quantification of freeway bottlenecks based on wavelet analysis
R Ke, Z Zeng, Z Pu, Y Wang
Journal of Transportation Engineering, Part A: Systems 144 (9), 04018044, 2018
112018
Roadway surveillance video camera calibration using standard shipping container
R Ke, Z Pan, Z Pu, Y Wang
2017 International Smart Cities Conference (ISC2), 1-6, 2017
92017
Graph Markov network for traffic forecasting with missing data
Z Cui, L Lin, Z Pu, Y Wang
Transportation Research Part C: Emerging Technologies 117, 102671, 2020
82020
Optimizing phase compression for transit signal priority at isolated intersections
X Hua, W Wang, Y Wang, Z Pu
Transport 32 (4), 386-397, 2017
72017
Evaluating the interference of bicycle traffic on vehicle operation on urban streets with bike lanes
Z Pu, Z Li, Y Wang, M Ye, WD Fan
Journal of advanced transportation 2017, 2017
62017
Evaluating the nonlinear correlation between vertical curve features and crash frequency on highways using random forests
Z Pu, Z Li, R Ke, X Hua, Y Wang
Journal of transportation engineering, Part A: Systems 146 (10), 04020115, 2020
52020
Evaluating Safety Effects of Variable Speed Limit System using Empirical Bayesian Before-After Analysis
Z Pu, Z Li, W Zhu, Z Cui, Y Wang
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
52017
Predicting Incident Duration based on Spatiotemporal Heterogeneous Pattern Recognition
W Zhu, Z Zeng, Y Wang, Z Pu
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
52017
Bicycle Safety Analysis: Crowdsourcing Bicycle Travel Data to Estimate Risk Exposure and Create Safety Performance Functions
H Wang, Y Wang, MB Lowry, C Chen, Z Pu
52016
Analyzing the impact of grade on fuel consumption for the national interstate highway system
W Zhu, B Wright, Z Li, Y Wang, Z Pu
Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016
52016
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