Results 281 to 290 of about 11,119,065 (317)

Implementing A Deep Learning Framework for Short Term Traffic Flow Prediction

Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, 2019
Traffic congestion in highway systems has become more serious. Recently, with the development of advanced technologies for intelligent transportation system, many studies focus on proposing new models and algorithms for time series analysis to predict short-term traffic flow.
Hongsuk Yi, Khac-Hoai Nam Bui, HeeJin Jung   +2 more
openaire   +2 more sources

A computational intelligence‐based approach for short‐term traffic flow prediction

Expert Systems, 2010
AbstractThis paper proposes alternative approaches for the prediction of short‐term traffic flow using three branches of computational intelligence techniques, namely linear genetic programming (LGP), multilayer perceptron (MLP) and fuzzy logic (FL). Different LGP, MLP and FL models are developed for estimating the 5‐ and 30‐min traffic flow rates. New
Shahriar Afandizadeh Zargari, Salar Zabihi Siabil, Amir Hossein Alavi, Amir Hossein Gandomi   +3 more
openaire   +1 more source

A Unified STARIMA based Model for Short-term Traffic Flow Prediction

2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018
This paper proposes a unified spatio-temporal model on the basis of STARIMA (Space-Time AutoRegressive Integrated Moving Average) for short-term road traffic prediction. The contributions of this paper are as follows. First, we develop a physically intuitive approach to traffic prediction that captures the time-varying spatio-temporal correlation ...
Peibo Duan, Guoqiang Mao, Wenwei Yue, Shangbo Wang   +3 more
openaire   +1 more source

Short-term traffic flow prediction via weight optimization of composite models

Transportation letters
Accurate prediction of peak-hour traffic flow is crucial for congestion management. Neural network models have varying performance in different domains, limiting their effectiveness in traffic data.
Xinyi He, Yao Hu, Wang-Yong Chen, Yutao Qin, Chu-Liang Wu, Wanlian Lu   +5 more
semanticscholar   +1 more source

Ensemble Learning Approach for Freeway Short-Term Traffic Flow Prediction

2007 IEEE International Conference on System of Systems Engineering, 2007
As traffic situations deteriorate in metropolitan areas around the world, intelligent transportation systems (ITS) emerge as a promising technology. One key issue in the ITS is the problem of short-term traffic flow forecasting which targets at forecasting traffic flow value in the near future (short-term) based on the real time data and historic data ...
Long Chen 0001, C. L. Philip Chen
openaire   +1 more source

Short-term traffic flow prediction based on vehicle trip chain features

Transportation letters
Short-term traffic flow prediction can improve the efficiency of transportation operations. Historical data-driven prediction methods have been proved to perform well.
Xiaoqing Wang, Feng Sun, Xiaolong Ma, Fangtong Jiao, Benxing Liu, Pengsheng Zhao   +5 more
semanticscholar   +1 more source

Short-term traffic flow prediction with LSTM recurrent neural network

2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017
Accurate and timely short-term traffic flow prediction plays an important role in intelligent transportation management and control. Traffic flow prediction has a long history and is still a difficult problem due to intrinsically highly nonlinear and stochastic characteristics of complex transportation systems.
Danqing Kang, Yisheng Lv, Yuanyuan Chen
openaire   +2 more sources

A Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction

IEEE Transactions on Intelligent Transportation Systems, 2019
This paper proposes a unified spatio-temporal model for short-term road traffic prediction. The contributions of this paper are as follows. First, we develop a physically intuitive approach to traffic prediction that captures the time-varying spatio-temporal correlation between traffic at different measurement points. The spatio-temporal correlation is
Peibo Duan, Guoqiang Mao, Weifa Liang, Degan Zhang 0001   +3 more
openaire   +2 more sources

Robust ensemble method for short-term traffic flow prediction

Future Generation Computer Systems, 2022
He Yan, Liyong Fu, Yong Qi, Dong-Jun Yu, Qiaolin Ye   +4 more
openaire   +2 more sources

Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM

Physica A: Statistical Mechanics and its Applications, 2023
Bharti, Poonam Redhu, Kranti Kumar
semanticscholar   +1 more source