Results 251 to 260 of about 1,128,066 (300)
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Traffic Hyperparameters for Long-Term Traffic Forecasting
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021Traffic forecasting researches promise lower error rates for longer periods. However, most studies in the literature are generally focused on short term traffic speed estimation. In this study, the parameters that affect the long-term traffic prediction are examined. Three different methods including well-known short-term predictor ARIMA, proposed Mean
Güvensan, Mehmet Amaç, Keskin, Ceren
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Traffic Flow Forecast for Traffic with Forecastable Sporadic Events
2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media), 2019The prosperity of the social economy, tourism, and entertainment industry are important factors to cause traffic congestion. In addition to commuting hours and holidays, if a large-scale event, such as a concert, a sporting event or an exhibition is held, it is easy to make traffic congestion even worse.
Yu-Hsiang Chang, Hung-Chin Jang
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RETRACTED: Inaccuracy in Traffic Forecasts
Transport Reviews, 2006This paper presents results from the first statistically significant study of traffic forecasts in transportation infrastructure projects. The sample used is the largest of its kind, covering 210 projects in 14 nations worth US$58 billion. The study shows with very high statistical significance that forecasters generally do a poor job of estimating the
Flyvbjerg, Bent +2 more
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auto, 2001
A review of methods for dynamic traffic forecasting which have recently been developed by DaimlerChrysler AG is presented. In particular, some new models for tracing and forecasting of congested spatial-temporal patterns on highways will be considered.
B. S. Kerner, R. G. Herrtwich
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A review of methods for dynamic traffic forecasting which have recently been developed by DaimlerChrysler AG is presented. In particular, some new models for tracing and forecasting of congested spatial-temporal patterns on highways will be considered.
B. S. Kerner, R. G. Herrtwich
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Operational Research Quarterly (1970-1977), 1973
A subsidiary of Air Canada will be operating an experimental STOL (Short Take-Off and Landing) service between Montreal and Ottawa from downtown airports. A model was developed to forecast traffic and evaluate marketing strategies for the proposed service. Traditional forecasting methods relying on historical data are of little use as STOL will offer a
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A subsidiary of Air Canada will be operating an experimental STOL (Short Take-Off and Landing) service between Montreal and Ottawa from downtown airports. A model was developed to forecast traffic and evaluate marketing strategies for the proposed service. Traditional forecasting methods relying on historical data are of little use as STOL will offer a
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Combined short-term traffic flow forecast model for Beijing Traffic Forecast System
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011A short-term traffic flow forecasting model is studied for Beijing Traffic Forecast System. From a practical view, a combined forecast model is considered, including Discrete Fourier Transform model, Autoregressive model and Neighborhood Regression model. In order to update weight real-timely, the Bayesian approach is utilized to adjust weights of each
Shen Dong +3 more
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A Traffic Flow Forecasting Method Regarding Traffic Network as a Digraph
International Journal of Pattern Recognition and Artificial Intelligence, 2021Traffic congestion has become a major problem restricting the development of major cities. ITS (Intelligent Transportation System) can record the state of traffic and predict the future traffic state, then reasonably optimize the travel scheme, so as to achieve the purpose of alleviating traffic congestion.
Zefei Chen +4 more
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GSM Traffic Forecast by Combining Forecasting Technique
2005 5th International Conference on Information Communications & Signal Processing, 2006This paper proposes a traffic forecasting by combining two forecasting techniques, which are the least square method and linear regression method, to perform the better forecasting, close to the existing real world. The result of this forecasting will be used in optimization of the GSM mobile telephone system.
P. Moungnoul +3 more
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Journal of the Aero-Space Transport Division, 1964
New terminal facilities should be designed to meet the "average peak demand" at their physical half-life. The forecast of air traffic is made by a Market Analysis Method which is found to be an improvement over extrapolations of past traffic and other systems of prediction.
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New terminal facilities should be designed to meet the "average peak demand" at their physical half-life. The forecast of air traffic is made by a Market Analysis Method which is found to be an improvement over extrapolations of past traffic and other systems of prediction.
openaire +1 more source