A Review of Traffic Congestion Prediction Using Artificial Intelligence

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

(2020) Toon Bogaerts et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact

(2020) Ruimin Ke et al.   TRANSPORTATION RESEARCH RECORD

A hybrid temporal association rules mining method for traffic congestion prediction

(2019) Feng Wen et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Application of Data Science Technologies in Intelligent Prediction of Traffic Congestion

(2019) Xu Yang et al.   JOURNAL OF ADVANCED TRANSPORTATION

Dynamic identification of urban traffic congestion warning communities in heterogeneous networks

(2019) Yajuan Guo et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks

(2019) Sen Zhang et al.   SENSORS

DeepPF: A deep learning based architecture for metro passenger flow prediction

(2019) Yang Liu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Large-Scale Traffic Congestion Prediction Based on the Symmetric Extreme Learning Machine Cluster Fast Learning Method

(2019) Xing et al.   Symmetry-Basel

Traffic congestion prediction based on GPS trajectory data

(2019) Shuming Sun et al.   International Journal of Distributed Sensor Networks

A Peak Traffic Congestion Prediction Method Based on Bus Driving Time

(2019) Zhao Huang et al.   Entropy

Traffic parameters estimation for signalized intersections based on combined shockwave analysis and Bayesian Network

(2019) Shuling Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

(2019) Weibin Zhang et al.   Transportmetrica A-Transport Science

Network-wide identification of turn-level intersection congestion using only low-frequency probe vehicle data

(2019) Zhengbing He et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Traffic congestion prediction based on Hidden Markov Models and contrast measure

(2019) John F. Zaki et al.   Ain Shams Engineering Journal

A 3-stage fuzzy-decision tree model for traffic signal optimization in urban city via a SDN based VANET architecture

(2019) Musa Balta et al.   Future Generation Computer Systems-The International Journal of eScience

An emotional artificial neural network for prediction of vehicular traffic noise

(2019) Vahid Nourani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction

(2018) Meng Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Evaluation system for the sustainable development of urban transportation and ecological environment based on SVM

(2018) Shengrong Lu et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

User-centric interdependent urban systems: Using time-of-day electricity usage data to predict morning roadway congestion

(2018) Pinchao Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Real-time predication and navigation on traffic congestion model with equilibrium Markov chain

(2018) Yan Zheng et al.   International Journal of Distributed Sensor Networks

Research on road traffic congestion index based on comprehensive parameters: Taking Dalian city as an example

(2018) Wan-Xiang Wang et al.   Advances in Mechanical Engineering

Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction

(2018) Xinxin Feng et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Machine Learning Approach to Short-Term Traffic Congestion Prediction in a Connected Environment

(2018) Amr Elfar et al.   TRANSPORTATION RESEARCH RECORD

Intersection Traffic Prediction Using Decision Tree Models

(2018) Walaa Alajali et al.   Symmetry-Basel

Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision

(2018) Vesal Ahsani et al.   Journal of Intelligent Transportation Systems

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

(2017) Xiaolei Ma et al.   SENSORS

Urban Traffic Congestion Evaluation Based on Kernel the Semi-Supervised Extreme Learning Machine

(2017) et al.   Symmetry-Basel

Urban traffic congestion estimation and prediction based on floating car trajectory data

(2016) Xiangjie Kong et al.   Future Generation Computer Systems-The International Journal of eScience

A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy

(2016) Pedro Lopez-Garcia et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Short-term traffic flow prediction with linear conditional Gaussian Bayesian network

(2016) Zheng Zhu et al.   JOURNAL OF ADVANCED TRANSPORTATION

Real-time congestion prediction for urban arterials using adaptive data-driven methods

(2016) Fuliang Li et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A traffic flow state transition model for urban road network based on Hidden Markov Model

(2016) Guangyu Zhu et al.   NEUROCOMPUTING

A novel methodology to predict urban traffic congestion with ensemble learning

(2016) G. Asencio-Cortés et al.   SOFT COMPUTING

Diagnosis and Prediction of Traffic Congestion on Urban Road Networks Using Bayesian Networks

(2016) Jiwon Kim et al.   TRANSPORTATION RESEARCH RECORD

A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers

(2015) Mario Collotta et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD–ARIMA framework

(2015) Haizhong Wang et al.   Transportmetrica B-Transport Dynamics

Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

(2015) Xiaolei Ma et al.   PLoS One

Predictability of Road Traffic and Congestion in Urban Areas

(2015) Jingyuan Wang et al.   PLoS One

Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction

(2014) Xiao Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Vehicular traffic noise modeling using artificial neural network approach

(2014) Paras Kumar et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Hidden Markov Model for short term prediction of traffic conditions on freeways

(2014) Yan Qi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Freeway Travel Time Prediction Using Takagi-Sugeno-Kang Fuzzy Neural Network

(2013) Yunlong Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision

(2013) Sheng Jin et al.   International Journal of Computational Intelligence Systems

SHORT TERM TRAFFIC FLOW PREDICTION IN HETEROGENEOUS CONDITION USING ARTIFICIAL NEURAL NETWORK

(2013) Kranti Kumar et al.   Transport

Genetic optimization of a vehicle fuzzy decision system for intersections

(2012) E. Onieva et al.   EXPERT SYSTEMS WITH APPLICATIONS

On feature selection for traffic congestion prediction

(2012) Su Yang   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Understanding the variability of speed distributions under mixed traffic conditions caused by holiday traffic

(2010) Jungwook Jun   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Gaussian Processes for Short-Term Traffic Volume Forecasting

(2010) Yuanchang Xie et al.   TRANSPORTATION RESEARCH RECORD

Short-Term Traffic Flow Forecasting Using Fuzzy Logic System Methods

(2008) Yunlong Zhang et al.   Journal of Intelligent Transportation Systems