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Reliable Short-Term Traffic Flow Forecasting for Urban Roads

Transportation Research Record: Journal of the Transportation Research Board, 2013
Short-term traffic flow forecasting has an essential role in advanced traveler information systems, route guidance systems, and proactive traffic signal control systems. Numerous univariate and multivariate models have been presented on both traffic flow level forecasting and traffic flow variance forecasting. However, few studies have incorporated the
Jingxin Xia   +3 more
openaire   +1 more source

Short-term forecasting model of traffic flow based on GRNN

2013 25th Chinese Control and Decision Conference (CCDC), 2013
Urban traffic flow has the characteristics of nonlinearity and time-variation, and how to accurately forecast short-term traffic flow has been an essential part in traffic field. Taking advantage of the Generalized Regression Neural Network (GRNN), the paper establishes the short-term forecasting model of traffic flow based on GRNN.
Ziwen Leng   +4 more
openaire   +1 more source

Applying Artificial Intelligence to Short-Term Traffic Flow Forecasting

Advanced Materials Research, 2012
Short-term traffic flow forecasting has a high requirement for the responding time and accuracy of the forecasting method because the result is directly used for instant traffic inducing. Based on the introduction of the fuzzy neural network model for short-term traffic flow forecasting together with its detailed procedures, this paper adopt the ...
openaire   +1 more source

Short-term air traffic flow forecasting based on model fusion

Proceedings of the 4th International Conference on Advanced Information Science and System, 2022
Jiawei Chen   +4 more
openaire   +1 more source

Short-Term Traffic Flow Forecasting Method With M-B-LSTM Hybrid Network

IEEE Transactions on Intelligent Transportation Systems, 2022
Zhihui Li, Zhaowei Qu
exaly  

SHORT-TERM TRAFFIC FLOW FORECASTING BASED ON MATHEMATICAL MODELS

Materials of the International Youth Scientific and Practical Conference «DEVELOPMENT PROSPECTS, INNOVATIONS AND INFORMATION TECHNOLOGIES IN TRANSPORT»
In urban traffic flow prediction, the lack of analysis of the spatial correlation characteristics of traffic flow leads to a large deviation between the prediction results and the real traffic flow data. Therefore, the study takes into account the spatial correlation characteristics of traffic flow and introduces the graph convolution algorithm into ...
openaire   +1 more source

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

IEEE Transactions on Intelligent Transportation Systems, 2012
Professor Elizabeth Chang   +2 more
exaly  

Special issue on short-term traffic flow forecasting

Transportation Research Part C: Emerging Technologies, 2014
openaire   +1 more source

A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model

Transportation Research Part C: Emerging Technologies, 2014
Ali Haghani, Yanru Zhang
exaly  

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

IEEE Transactions on Intelligent Transportation Systems, 2013
Marco Lippi, Paolo Frasconi
exaly  

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