Results 241 to 250 of about 154,459 (280)

Analysis of Spectrum and Prediction for Short-term Traffic Flow

2007 Chinese Control Conference, 2006
In this paper, based on analysing spectrum of short-term traffic flow by FFT transformation in limited length, we make use of neutral network to forecast the direct data and every scales data which was decomposed and reconstructed by wavelet analysis.
Weng Xiaoxiong, Jian Jun
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Short-Term Traffic Flow Prediction Methods and the Correlation Analysis of Vehicle Speed and Traffic Flow

2008 International Conference on Computational Intelligence and Security, 2008
A technique based adaptive neuro-fuzzy inference system (ANFIS) has been applied into short-term traffic flow prediction. Considering random factors, a new forecast model is presented based on the dynamic traffic flow data. Firstly the actual observations were operated in traffic flow and vehicle speed on Yanan east road tunnel, then the correlation ...
Changhong Liu, Xintian Liu, Hu Huang 0002, Lihui Zhao   +3 more
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Basis-Prediction Method for Short-Term Traffic Flow Prediction and Its Application

2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2019
Traffic flow forecasting is one of the key issues in smart traffic systems. The process of traffic flow changing involves a high degree of nonlinearity and randomness, environmental interference and measurement noise, which brings difficulties to accurate traffic flow prediction.
Zhiyang Gu, Sun Zhou 0001
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Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network

2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015
Intelligent Transportation System (ITS) is a significant part of smart city, and short-term traffic flow prediction plays an important role in intelligent transportation management and route guidance. A number of models and algorithms based on time series prediction and machine learning were applied to short-term traffic flow prediction and achieved ...
Yongxue Tian, Li Pan
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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
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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
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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
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Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms

Intelligent Transportation Systems Journal, 2002
This paper presents a new short-term traffic flow prediction system based on an advanced Time Delay Neural Network (TDNN) model, the structure of which is synthesized using a Genetic Algorithm (GA). The model predicts flow and occupancy values at a given freeway section based on contributions from their recent temporal profile (over a few minutes) as ...
Baher Abdulhai, Himanshu Porwal, Will Recker   +2 more
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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
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Application of Autoformer to Short-Term Traffic Flow Prediction

International Journal Of Scientific Advances
This paper investigates the application of Autoformer model in the field of short-term traffic flow prediction. Traffic flow prediction is crucial for urban planning and traffic management, and is important for relieving traffic congestion and improving traffic efficiency.
Shuncai Luo, Qingying Li
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