Results 261 to 270 of about 1,128,066 (300)

Comparing forecasting approaches for Internet traffic

Expert Systems with Applications, 2015
Internet traffic is modeled using time series and neural network approaches.FARIMA and ANNs are combined in two different ways for better predictions.A framework for comparison of the different approaches is introduced.Forecasting with a model selected based on non-linearity test is a successful strategy.Alternatively, hybridization between MLP and ...
Christos Katris, Sophia Daskalaki
openaire   +2 more sources

On the ICAO system of air traffic forecasting

Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control, 2012
This paper presents a brief introduction of the ICAO system of air traffic forecasting, including the data, the framework, and major models. It involves with ICAO's practice in the last decade on the analysis of air traffic. Due to the position of ICAO in the field, ICAO's forecasting has long been a reliable reference for its member states.
Jiang Chunshui, Yu Haiyang, Yu Haiyang, Anwar Zubair   +3 more
openaire   +1 more source

Forecasting Air Traffic

Journal of the Aero-Space Transport Division, 1965
Two methods of forecasting passenger traffic between selected city-pairs in the United States air transport network are presented. Background and underlying assumptions are evaluated for each model. One method is a gravity model of spatial interactions involving total projected traffic at each city and air distances between them.
openaire   +1 more source

Forecasting of Traffic Congestion

2000
Results of investigations of a recent method for the automatic tracing of moving traffic jams and of the prediction of time-dependent vehicle trip times are presented using different levels of data inputs. The method is based on the previous findings that moving jams possess some characteristic parameters, i e., the parameters are unique, coherent ...
B. S. Kerner, H. Rehborn, M. Aleksic
openaire   +1 more source

A combined forecasting method for traffic volume

2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2016
In this paper, a combined forecasting method is proposed and applied to traffic volume prediction of 24 hours in advance, called long-term prediction. The combined forecasting model includes two important modules, Kalman filtering module and Markov chains prediction module.
Kaibing Xie, Runmei Li
openaire   +1 more source

Quantile forecasts for traffic predictive control

2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017
We present a quantile regression method for predicting future traffic flow at a signalized intersection by combining both historical and real-time data. The algorithm exploits nonlinear correlations in historical measurements, and efficiently solves a quantile loss optimization problem using the Alternating Direction Method of Multipliers (ADMM).
Maxence Dutreix, Samuel Coogan 0001
openaire   +2 more sources

Forecasting traffic flow

IEEE Spectrum, 2001
Predicting what traffic would be like along a particular route an hour into the future is the ambition motivating the design of intelligent transportation systems (ITS). ITS is an infrastructure being developed-along highways and city streets, and in cars and trucks-that can use information about traffic to speed up travel and make it safer.
openaire   +1 more source

An Algorithm of Mobile Traffic Distribution Forecasting

2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, 2007
In order to forecast mobile traffic distribution accurately, the cluster analysis characters of traffic distribution are extracted, which are based on digital map and traffic statistical data. After cluster analysis of base station, the simulated annealing is taken into account to solve the over-determined set of base stations to get traffic density ...
Juan-juan Sun, Zong-pan Huang, Zhen Huang   +2 more
openaire   +2 more sources

What Kinds of Traffic Forecasts are Possible?

Journal of Critical Realism, 2012
Based on metatheoretical considerations, this paper discusses which kinds of traffic forecasts are possible and which kinds are impossible to make with any reasonable degree of accuracy. It will be argued on ontological and epistemological grounds that it is inherently impossible to make exact predictions about the magnitude of the ‘general’ traffic ...
Næss, Petter, Strand, Arvid
openaire   +2 more sources

Mining traffic incidents to forecast impact

Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012
Using sensor data from fixed highway traffic detectors, as well as data from highway patrol logs and local weather stations, we aim to answer the domain problem: "A traffic incident just occurred. How severe will its impact be?" In this paper we show a practical system for predicting the cost and impact of highway incidents using classification models ...
Mahalia Miller, Chetan Gupta 0001
openaire   +2 more sources