Related references
Note: Only part of the references are listed.Mapping dynamic road emissions for a megacity by using open-access traffic congestion index data
Yifan Wen et al.
APPLIED ENERGY (2020)
Applications of Artificial Intelligence and Machine learning in smart cities
Zaib Ullah et al.
COMPUTER COMMUNICATIONS (2020)
UAVs assessment in software-defined IoT networks: An overview
Fadi Al-Turjman et al.
COMPUTER COMMUNICATIONS (2020)
A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data
Toon Bogaerts et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Kriging method application and traffic behavior profiles from local radar network database: A proposal to support traffic solutions and air pollution control strategies
Janaina Antonino Pinto et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
LSTM variants meet graph neural networks for road speed prediction
Zhilong Lu et al.
NEUROCOMPUTING (2020)
The potential impacts of different traffic management strategies on air pollution and public health for a more sustainable city: A modelling case study from Dublin, Ireland
Jiayi Tang et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
An LSTM-Based Method with Attention Mechanism for Travel Time Prediction
Xiangdong Ran et al.
SENSORS (2019)
Daily long-term traffic flow forecasting based on a deep neural network
Licheng Qu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Daily urban air quality index forecasting based on variational mode decomposition, sample entropy and LSTM neural network
Qunli Wu et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
Parallel computing method of deep belief networks and its application to traffic flow prediction
Lu Zhao et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Traffic flow prediction using LSTM with feature enhancement
Bailin Yang et al.
NEUROCOMPUTING (2019)
Road traffic density estimation and congestion detection with a hybrid observer-based strategy
Abdelhafid Zeroual et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
Implementing A Deep Learning Framework for Short Term Traffic Flow Prediction
Hongsuk Yi et al.
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, MINING AND SEMANTICS (WIMS 2019) (2019)
A Review of Machine Learning and IoT in Smart Transportation
Fotios Zantalis et al.
FUTURE INTERNET (2019)
The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability
Simon Elias Bibri
SUSTAINABLE CITIES AND SOCIETY (2018)
Short-Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials
Qingchao Liu et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
LSTM-based traffic flow prediction with missing data
Yan Tian et al.
NEUROCOMPUTING (2018)
Deep Learning for Vehicle Speed Prediction
Mei Yan et al.
CLEANER ENERGY FOR CLEANER CITIES (2018)
Traffic Congestion Detection: Learning from CCTV Monitoring Images using Convolutional Neural Network
Jason Kurniawan et al.
INNS CONFERENCE ON BIG DATA AND DEEP LEARNING (2018)
Urban emissions hotspots: Quantifying vehicle congestion and air pollution using mobile phone GPS data
Conor K. Gately et al.
ENVIRONMENTAL POLLUTION (2017)
LSTM network: a deep learning approach for short-term traffic forecast
Zheng Zhao et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2017)
Monitoring road traffic congestion using a macroscopic traffic model and a statistical monitoring scheme
Abdelhafid Zerouala et al.
SUSTAINABLE CITIES AND SOCIETY (2017)
Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks
Mohammadreza Saeedmanesh et al.
PAPERS SELECTED FOR THE 22ND INTERNATIONAL SYMPOSIUM ON TRANSPORTATION AND TRAFFIC THEORY (2017)
Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data
Hoang Nguyen et al.
IEEE TRANSACTIONS ON BIG DATA (2017)
Short-Term Speed Prediction Using Remote Microwave Sensor Data: Machine Learning versus Statistical Model
Han Jiang et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2016)
A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine
Qiang Shang et al.
PLOS ONE (2016)
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)
Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
Xiaolei Ma et al.
PLOS ONE (2015)
Federated broker system for pervasive context provisioning
Saad Liaquat Kiani et al.
JOURNAL OF SYSTEMS AND SOFTWARE (2013)
Air pollution and health risks due to vehicle traffic
Kai Zhang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2013)
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions
Manoel Castro-Neto et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow
Loukas Dimitriou et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2008)
Uncertainty in traffic forecasts: literature review and new results for The Netherlands
Gerard de Jong et al.
TRANSPORTATION (2007)
Bulk scheduling with the DIANA scheduler
Ashiq Anjum et al.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE (2006)
Bulk scheduling with the DIANA scheduler
Ashiq Anjum et al.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE (2006)
Univariate versus multivariate time series forecasting: an application to international tourism demand
J du Preez et al.
INTERNATIONAL JOURNAL OF FORECASTING (2003)
Share Paper
