相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Hybrid Grey Wolf: Bald Eagle search optimized support vector regression for traffic flow forecasting
S. A. Angayarkanni et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)
A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction
Ke Wang et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2021)
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction
Liang Zhang et al.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2021)
Crowding prediction on mass rapid transit systems using a weighted bidirectional recurrent neural network
Rong Hu et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
Bidirectional Spatial-Temporal Network for Traffic Prediction with Multisource Data
Tuo Sun et al.
TRANSPORTATION RESEARCH RECORD (2020)
Deep Learning Framework for Freeway Speed Prediction in Adverse Weather
Abdullah Shabarek et al.
TRANSPORTATION RESEARCH RECORD (2020)
Period Division-Based Markov Models for Short-Term Traffic Flow Prediction
Ronghan Yao et al.
IEEE ACCESS (2020)
Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm
Linchao Li et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Adaptive long-term traffic state estimation with evolving spiking neural networks
Ibai Lana et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
MF-CNN: Traffic Flow Prediction Using Convolutional Neural Network and Multi-Features Fusion
Di Yang et al.
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (2019)
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending
Xingyuan Dai et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies
Zhengchao Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Short-term prediction of lane-level traffic speeds: A fusion deep learning model
Yuanli Gu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics
Zibin Zheng et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Combining weather condition data to predict traffic flow: a GRU-based deep learning approach
Da Zhang et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2018)
A hybrid deep learning based traffic flow prediction method and its understanding
Yuankai Wu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Scaling the Kalman Filter for Large-Scale Traffic Estimation
Ye Sun et al.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS (2018)
Short-Term Traffic Flow Forecasting by Selecting Appropriate Predictions Based on Pattern Matching
Dongfang Ma et al.
IEEE ACCESS (2018)
Rainfall-integrated traffic speed prediction using deep learning method
Yuhan Jia et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2017)
LSTM network: a deep learning approach for short-term traffic forecast
Zheng Zhao et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2017)
Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method
Yuhan Jia et al.
JOURNAL OF ADVANCED TRANSPORTATION (2017)
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma et al.
SENSORS (2017)
A novel passenger flow prediction model using deep learning methods
Lijuan Liu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Deep learning for short-term traffic flow prediction
Nicholas G. Polson et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Urban traffic flow prediction: a spatio-temporal variable selection-based approach
Yanyan Xu et al.
JOURNAL OF ADVANCED TRANSPORTATION (2016)
A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD-ARIMA framework
Haizhong Wang et al.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2016)
Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach
Arief Koesdwiady et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2016)
Short-term traffic flow prediction with linear conditional Gaussian Bayesian network
Zheng Zhu et al.
JOURNAL OF ADVANCED TRANSPORTATION (2016)
Freeway path travel time prediction based on heterogeneous traffic data through nonparametric model
Wenxin Qiao et al.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2016)
Intersection traffic flow forecasting based on v-GSVR with a new hybrid evolutionary algorithm
Min-Liang Huang
NEUROCOMPUTING (2015)
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
Xiaolei Ma et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Prediction of Deceleration Amount of Vehicle Speed in Snowy Urban Roads using Weather Information and Traffic Data
Ryosuke Tanimura et al.
2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
Wenhao Huang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2014)
Short-term traffic forecasting: Where we are and where we're going
Eleni I. Vlahogianni et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Weather Adaptive Traffic Prediction Using Neurowavelet Models
Stephen Dunne et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)
Short-Term Travel Time Prediction Considering the Effects of Weather
Wenxin Qiao et al.
TRANSPORTATION RESEARCH RECORD (2012)
Climate change and human health: present and future risks
AJ McMichael et al.
LANCET (2006)
Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
EI Vlahogianni et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2005)