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。Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)
Development and Evaluation of an Adaptive Traffic Signal Control Scheme Under a Mixed-Automated Traffic Scenario
Md Abdus Samad Kamal et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Urban big data fusion based on deep learning: An overview
Jia Liu et al.
INFORMATION FUSION (2020)
Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions
Kai-Fung Chu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends
Matthew Veres et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Urban flow prediction from spatiotemporal data using machine learning: A survey
Peng Xie et al.
INFORMATION FUSION (2020)
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
Ling Zhao et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting
Jiexia Ye et al.
2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (2020)
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network
Hongzhi Shi et al.
2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020) (2020)
Traffic Incident Detection: A Trajectory-based Approach
Xiaolin Han et al.
2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020) (2020)
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks
Jilin Hu et al.
2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020) (2020)
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Zhiyong Cui et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Methodology and Mobile Application for Driver Behavior Analysis and Accident Prevention
Alexey Kashevnik et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
TOP: Optimizing Vehicle Driving Speed with Vehicle Trajectories for Travel Time Minimization and Road Congestion Avoidance
Li Yan et al.
ACM TRANSACTIONS ON CYBER-PHYSICAL SYSTEMS (2020)
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning
Shengdong Du et al.
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS (2020)
Dynamic Spatio-Temporal Graph-Based CNNs for Traffic Flow Prediction
Ken Chen et al.
IEEE ACCESS (2020)
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework
Yilun Lin et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks
Hui Li et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach
Filipe Rodrigues et al.
INFORMATION FUSION (2019)
Robust Construction Safety System (RCSS) for Collision Accidents Prevention on Construction Sites
Byung-Wan Jo et al.
SENSORS (2019)
A graph deep learning method for short-term traffic forecasting on large road networks
Yang Zhang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (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)
Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder
Jamen Jian Qiao Yu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Enhancing transportation systems via deep learning: A survey
Yuan Wang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Socially-Aware Graph Convolutional Network for Human Trajectory Prediction
Yasheng Sun et al.
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) (2019)
Temporal Graph Convolutional Networks for Traffic Speed Prediction Considering External Factors
Liang Ge et al.
2019 20TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2019) (2019)
Diffusion Convolutional Recurrent Neural Network with Rank Influence Learning for Traffic Forecasting
Yujun Huang et al.
2019 18TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS/13TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (TRUSTCOM/BIGDATASE 2019) (2019)
Predicting Path Failure In Time-Evolving Graphs
Jia Li et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
A Survey on an Emerging Area: Deep Learning for Smart City Data
Qi Chen et al.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2019)
A Brief Review of Receptive Fields in Graph Convolutional Networks
Pei Quan et al.
2019 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE WORKSHOPS (WI 2019 COMPANION) (2019)
Stochastic Weight Completion for Road Networks using Graph Convolutional Networks
Jilin Hu et al.
2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019) (2019)
Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting
Chenhan Zhang et al.
IEEE ACCESS (2019)
Scale-Aware Fast R-CNN for Pedestrian Detection
Jianan Li et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2018)
Generative Adversarial Networks An overview
Antonia Creswell et al.
IEEE SIGNAL PROCESSING MAGAZINE (2018)
A Two-level Traffic Light Control Strategy for Preventing Incident-Based Urban Traffic Congestion
Liang Qi et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2018)
MobiT: Distributed and Congestion-Resilient Trajectory-Based Routing for Vehicular Delay Tolerant Networks
Li Yan et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2018)
A deep learning approach for detecting traffic accidents from social media data
Zhenhua Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network
Hilal Tayara et al.
IEEE ACCESS (2018)
Deep learning methods in transportation domain: a review
Hoang Nguyen et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2018)
Graph structured autoencoder
Angshul Majumdar
NEURAL NETWORKS (2018)
Predicting station-level hourly demand in a large-scale bike sharing network: A graph convolutional neural network approach
Lei Lin et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic-State Estimation
Yunyi Liang et al.
TRANSPORTATION RESEARCH RECORD (2018)
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
Martin Simonovsky et al.
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT I (2018)
Graph CNNs for Urban Traffic Passenger Flows Prediction
Jing Li et al.
2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) (2018)
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
Geometric Deep Learning Going beyond Euclidean data
Michael M. Bronstein et al.
IEEE SIGNAL PROCESSING MAGAZINE (2017)
A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion
Zhiguang Cao et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)
Discovering time-dependent shortest path on traffic graph for drivers towards green driving
Yunchuan Sun et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2017)
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma et al.
SENSORS (2017)
Severity Prediction of Traffic Accidents with Recurrent Neural Networks
Maher Ibrahim Sameen et al.
APPLIED SCIENCES-BASEL (2017)
Severity Prediction of Traffic Accident Using an Artificial Neural Network
Sharaf Alkheder et al.
JOURNAL OF FORECASTING (2017)
Generative Adversarial Networks: Introduction and Outlook
Kunfeng Wang et al.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2017)
A vehicle classification system based on hierarchical multi-SVMs in crowded traffic scenes
Huiyuan Fu et al.
NEUROCOMPUTING (2016)
Scalable Algorithms for Data and Network Analysis
Shang-Hua Teng
FOUNDATIONS AND TRENDS IN THEORETICAL COMPUTER SCIENCE (2016)
Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
Xiaolei Ma et al.
PLOS ONE (2015)
Spatial distribution complexities of traffic congestion and bottlenecks in different network topologies
Huijun Sun et al.
APPLIED MATHEMATICAL MODELLING (2014)
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
Xueyun Chen et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (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)
Bayesian networks for maritime traffic accident prevention: Benefits and challenges
Maria Hanninen
ACCIDENT ANALYSIS AND PREVENTION (2014)
The Emerging Field of Signal Processing on Graphs
David I. Shuman et al.
IEEE SIGNAL PROCESSING MAGAZINE (2013)
Wavelets on graphs via spectral graph theory
David K. Hammond et al.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2011)
Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
M. G. Karlaftis et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2011)
The Graph Neural Network Model
Franco Scarselli et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2009)
Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models
Srinivasa Ravi Chandra et al.
Journal of Intelligent Transportation Systems (2009)
Short-term traffic volume forecasting using Kalman filter with discrete wavelet decomposition
Yuanchang Xie et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2007)
Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: Theoretical basis and empirical results
BM Williams et al.
JOURNAL OF TRANSPORTATION ENGINEERING (2003)
分享论文
