Related references
Note: Only part of the references are listed.Evaluation and augmentation of traffic data including Bluetooth detection system on arterials
Yaobang Gong et al.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Design and exploration of load balancers for fog computing using fuzzy logic
Simar Preet Singh et al.
SIMULATION MODELLING PRACTICE AND THEORY (2020)
A 3-stage fuzzy-decision tree model for traffic signal optimization in urban city via a SDN based VANET architecture
Musa Balta et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
Distributed Joint Probabilistic Data Association Filter With Hybrid Fusion Strategy
Shaoming He et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning
Yuanli Gu 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)
A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks
Muhammad Muzammal et al.
INFORMATION FUSION (2020)
SNSJam: Road traffic analysis and prediction by fusing data from multiple social networks
Balsam Alkouz et al.
INFORMATION PROCESSING & MANAGEMENT (2020)
Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model
Linchao Li et al.
KNOWLEDGE-BASED SYSTEMS (2020)
A survey on machine learning for data fusion
Tong Meng et al.
INFORMATION FUSION (2020)
Trajectory data-based traffic flow studies: A revisit
Li Li et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction
Linchao Li et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
Hao Peng et al.
INFORMATION SCIENCES (2020)
Towards smart cities: crowdsensing-based monitoring of transportation infrastructure using in-traffic vehicles
Qipei Mei et al.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING (2020)
Cumulative belief peaks evidential K-nearest neighbor clustering
Chaoyu Gong et al.
KNOWLEDGE-BASED SYSTEMS (2020)
State estimation in urban traffic networks: A two-layer approach
Majid Rostami-Shahrbabaki et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
A k-nearest neighbors approach to the design of radar detectors
Angelo Coluccia et al.
SIGNAL PROCESSING (2020)
Machine Learning for Traffic Analysis: A Review
Nour Alqudah et al.
11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS (2020)
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Yunduan Lin et al.
ACCIDENT ANALYSIS AND PREVENTION (2020)
Reliable Estimation of Urban Link Travel Time Using Multi-Sensor Data Fusion
Yajuan Guo et al.
INFORMATION (2020)
A Systematic Review on Fusion Techniques and Approaches Used in Applications
Shaidah Jusoh et al.
IEEE ACCESS (2020)
Adaptive Rolling Smoothing With Heterogeneous Data for Traffic State Estimation and Prediction
Xiqun Chen et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Fuzzy integrated Bayesian Dempster-Shafer theory to defend cross-layer heterogeneity attacks in communication network of Smart Grid
Durgadevi Velusamy et al.
INFORMATION SCIENCES (2019)
Personalized detection of lane changing behavior using multisensor data fusion
Jun Gao et al.
COMPUTING (2019)
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Linchao Li et al.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2019)
A random forest partition model for predicting NO2 concentrations from traffic flow and meteorological conditions
Joanna A. Kaminska
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Hybrid dual Kalman filtering model for short-term traffic flow forecasting
Teng Zhou et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2019)
A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion
Wenxiu Ding et al.
INFORMATION FUSION (2019)
Optimizing multi-agent based urban traffic signal control system
Mingtao Xu et al.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Traffic Condition Monitoring with SCAAT Kalman Filter-based Data Fusion in Toronto, Canada
Young-Ji Byon et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2019)
A noise-immune Kalman filter for short-term traffic flow forecasting
Lingru Cai et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Road traffic density estimation and congestion detection with a hybrid observer-based strategy
Abdelhafid Zeroual et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
Kalman filter for turning rate estimation at signalized intersections, based on Floating Car Data
Eftychios Papapanagiotou et al.
URBAN MOBILITY - SHAPING THE FUTURE TOGETHER (2019)
Estimation of Turning Ratio at Intersections Based on Detector Data using Kalman Filter
Huimin Zhang et al.
URBAN MOBILITY - SHAPING THE FUTURE TOGETHER (2019)
Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning
Aniekan Essien et al.
2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP) (2019)
Study on Traffic Multi-Source Data Fusion
Suping Liu et al.
INTERNATIONAL JOURNAL OF COGNITIVE INFORMATICS AND NATURAL INTELLIGENCE (2019)
A Special Event-Based K-Nearest Neighbor Model for Short-Term Traffic State Prediction
Haiyang Yu et al.
IEEE ACCESS (2019)
A Novel Fuzzy-Based Convolutional Neural Network Method to Traffic Flow Prediction With Uncertain Traffic Accident Information
Jiyao An et al.
IEEE ACCESS (2019)
Brain Intelligence: Go beyond Artificial Intelligence
Huimin Lu et al.
MOBILE NETWORKS & APPLICATIONS (2018)
Modified Bayesian data fusion model for travel time estimation considering spurious data and traffic conditions
Soknath Mil et al.
APPLIED SOFT COMPUTING (2018)
A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial-temporal data features
Weihong Chen et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Urban link travel time estimation using traffic states-based data fusion
Lin Zhu et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2018)
Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach
Eiman Kanjo et al.
INFORMATION FUSION (2018)
Review on mining data from multiple data sources
Ruili Wang et al.
PATTERN RECOGNITION LETTERS (2018)
Sensor Technologies for Intelligent Transportation Systems
Juan Guerrero-Ibanez et al.
SENSORS (2018)
A data fusion approach for real-time traffic state estimation in urban signalized links
Majid Rostami Shahrbabaki et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
A Progressive Extended Kalman Filter Method for Freeway Traffic State Estimation Integrating Multisource Data
Yingshun Liu et al.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2018)
Real-Time Probabilistic Data Fusion for Large-Scale IoT Applications
Adnan Akbar et al.
IEEE ACCESS (2018)
A Methodology of Real-Time Data Fusion for Localized Big Data Analytics
Sohail Jabbar et al.
IEEE ACCESS (2018)
Method of speed data fusion based on Bayesian combination algorithm and high-order multi-variable Markov model
Weibin Zhang et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2018)
A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring
Marcin Bernas et al.
SENSORS (2018)
An Approach to Intelligent Traffic Management System Using a Multi-agent System
Hodjat Hamidi et al.
INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH (2018)
Traffic State Estimation Using Small Imaging Satellites and Connected Vehicles
Toru Seo et al.
INTERNATIONAL SYMPOSIUM OF TRANSPORT SIMULATION (ISTS'18) AND THE INTERNATIONAL WORKSHOP ON TRAFFIC DATA COLLECTION AND ITS STANDARDIZATION (IWTDCS'18) - EMERGING TRANSPORT TECHNOLOGIES FOR NEXT GENERATION MOBILITY (2018)
Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies
Eunsuk Chong et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding
Zuozhu Liu et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2017)
Real-Time Traffic State Estimation With Connected Vehicles
Sakib Mahmud Khan et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)
Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
Raffaele Gravina et al.
INFORMATION FUSION (2017)
A fault tolerant architecture for data fusion: A real application of Kalman filters for mobile robot localization
Kaci Bader et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2017)
Traffic state and emission estimation for urban expressways based on heterogeneous data
Zhoutong Jiang et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2017)
Modeling and Data Fusion of Dynamic Highway Traffic
Flavia Ottaviano et al.
TRANSPORTATION RESEARCH RECORD (2017)
Sensor Fusion Methodology for Vehicle Detection
Fernando Garcia et al.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2017)
Online Traffic Condition Evaluation Method for Connected Vehicles Based on Multisource Data Fusion
Pang-wei Wang et al.
JOURNAL OF SENSORS (2017)
A Cluster-Based Data Fusion Technique to Analyze Big Data in Wireless Multi-Sensor System
Sadia Din et al.
IEEE ACCESS (2017)
Data Fusion and IoT for Smart Ubiquitous Environments: A Survey
Furqan Alam et al.
IEEE ACCESS (2017)
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection
Xianzhi Du et al.
2017 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2017) (2017)
Real-Time Traffic Data Smoothing from GPS Sparse Measures Using Fuzzy Switching Linear Models
Zied Bouyahia et al.
14TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC 2017) / 12TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC 2017) / AFFILIATED WORKSHOPS (2017)
Traffic state estimation on highway: A comprehensive survey
Toru Seo et al.
ANNUAL REVIEWS IN CONTROL (2017)
Data Fusion Classification Method Based on Multi Agents System
Elhoucine Ben Boussada et al.
INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016) (2017)
Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies
Juan Antonio Guerrero-ibanez et al.
IEEE WIRELESS COMMUNICATIONS (2016)
Estimating Missing Traffic Volume Using Low Multilinear Rank Tensor Completion
Bin Ran et al.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2016)
Fusing Incomplete Multisensor Heterogeneous Data to Estimate Urban Traffic
Zhenyu Shan et al.
IEEE MULTIMEDIA (2016)
Highway Traffic State Estimation With Mixed Connected and Conventional Vehicles
Nikolaos Bekiaris-Liberis et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (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)
Social big data: Recent achievements and new challenges
Gema Bello-Orgaz et al.
INFORMATION FUSION (2016)
Short-term traffic flow prediction with linear conditional Gaussian Bayesian network
Zheng Zhu et al.
JOURNAL OF ADVANCED TRANSPORTATION (2016)
k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition
Bin Yu et al.
JOURNAL OF TRANSPORTATION ENGINEERING (2016)
Mean Absolute Percentage Error for regression models
Arnaud de Myttenaere et al.
NEUROCOMPUTING (2016)
Iterative Bayesian Estimation of Travel Times on Urban Arterials: Fusing Loop Detector and Probe Vehicle Data
Kai Liu et al.
PLOS ONE (2016)
Real-time traffic state estimation in urban corridors from heterogeneous data
Alfredo Nantes et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting
Pinlong Cai et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
Multimodal Data Fusion for Big Events
Alexandros E. Papacharalampous et al.
TRANSPORTATION RESEARCH RECORD (2016)
k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition
Bin Yu et al.
JOURNAL OF TRANSPORTATION ENGINEERING (2016)
Data Fusion for ITS: Techniques and Research Needs
Nour-Eddin El Faouzi et al.
INTERNATIONAL SYMPOSIUM ON ENHANCING HIGHWAY PERFORMANCE (ISEHP), (7TH INTERNATIONAL SYMPOSIUM ON HIGHWAY CAPACITY AND QUALITY OF SERVICE, 3RD INTERNATIONAL SYMPOSIUM ON FREEWAY AND TOLLWAY OPERATIONS) (2016)
Traffic incidents in motorways: An empirical proposal for incident detection using data from mobile phone operators
John Steenbruggen et al.
JOURNAL OF TRANSPORT GEOGRAPHY (2016)
A new metric of absolute percentage error for intermittent demand forecasts
Sungil Kim et al.
INTERNATIONAL JOURNAL OF FORECASTING (2016)
A framework for collaborative computing and multi-sensor data fusion in body sensor networks
Giancarlo Fortino et al.
INFORMATION FUSION (2015)
A joint data association, registration, and fusion approach for distributed tracking
Hao Zhu et al.
INFORMATION SCIENCES (2015)
Decision fusion for signalized intersection control
Sabeur Elkosantini et al.
KYBERNETES (2015)
Multimodal Data Fusion Using Source Separation: Application to Medical Imaging
Tuelay Adali et al.
PROCEEDINGS OF THE IEEE (2015)
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
Dana Lahat et al.
PROCEEDINGS OF THE IEEE (2015)
Estimation of flow and density using probe vehicles with spacing measurement equipment
Toru Seo et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Clustering Data of Mixed Categorical and Numerical Type With Unsupervised Feature Learning
Dao Lam et al.
IEEE ACCESS (2015)
Traffic State Estimation with the Advanced Probe Vehicles using Data Assimilation
Toru Seo et al.
2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)
A cooperative watchdog model based on Dempster-Shafer for detecting misbehaving vehicles
Omar Abdel Wahab et al.
COMPUTER COMMUNICATIONS (2014)
Traffic Speed Estimation through Data Fusion from Heterogeneous Sources for First Response Deployment
Tang-Hsien Chang et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2014)
Autonomous dynamic displacement estimation from data fusion of acceleration and intermittent displacement measurements
Junhee Kim et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2014)
Behavioural data mining of transit smart card data: A data fusion approach
Takahiko Kusakabe et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Urban traffic state estimation: Fusing point and zone based data
Ashish Bhaskar et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Random forest classification of urban landscape using Landsat archive and ancillary data: Combining seasonal maps with decision level fusion
Aniruddha Ghosh et al.
APPLIED GEOGRAPHY (2014)
Root mean square error (RMSE) or mean absolute error (MAE)? - Arguments against avoiding RMSE in the literature
T. Chai et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2014)
Multisensor data fusion: A review of the state-of-the-art
Bahador Khaleghi et al.
INFORMATION FUSION (2013)
A Review of Data Fusion Techniques
Federico Castanedo
SCIENTIFIC WORLD JOURNAL (2013)
Traffic state estimation and uncertainty quantification based on heterogeneous data sources: A three detector approach
Wen Deng et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2013)
A comparative assessment of multi-sensor data fusion techniques for freeway traffic speed estimation using microsimulation modeling
Chris Bachmann et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)
An optimizing BP neural network algorithm based on genetic algorithm
Shifei Ding et al.
ARTIFICIAL INTELLIGENCE REVIEW (2011)
An adaptive framework based on multi-model data fusion for one-day-ahead wind power forecasting
A. Vaccaro et al.
ELECTRIC POWER SYSTEMS RESEARCH (2011)
Two-stage structural damage detection using fuzzy neural networks and data fusion techniques
Shao-Fei Jiang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Data fusion in intelligent transportation systems: Progress and challenges - A survey
Nour-Eddin El Faouzi et al.
INFORMATION FUSION (2011)
Compressive Sensing Approach to Urban Traffic Sensing
Zhi Li et al.
31ST INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2011) (2011)
Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing
Bao Rong Chang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
A geostatistical data fusion technique for merging remote sensing and ground-based observations of aerosol optical thickness
Abhishek Chatterjee et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2010)
Multi-source remote sensing data fusion: status and trends
Jixian Zhang
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION (2010)
Share Paper
