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Dynamic Traffic Prediction Based on Traffic Flow Mining
2006 6th World Congress on Intelligent Control and Automation, 2006ITS technology collects a large of historical traffic flow data that may provide information for the support and improvement of traffic control. Data mining technique is appropriate to analysis the large amount of ITS data to acquire useful traffic pattern. We present a dynamic traffic prediction model, the model deals with traffic flow data to convert
null Yaqin Wang +3 more
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Traffic-flow-prediction systems based on upstream traffic
Proceedings of VNIS'94 - 1994 Vehicle Navigation and Information Systems Conference, 2002Network-based model were developed to predict short term future traffic volume based on current traffic, historical average, and upstream traffic. It is presumed that upstream traffic volume can be used to predict the downstream traffic in a specific time period.
A.G. Hobeika, null Chang Kyun Kim
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Online Calibration of Traffic Prediction Models
Transportation Research Record: Journal of the Transportation Research Board, 2005A methodology for the online calibration of the speed–density relationship is formulated as a flexible state–space model. Applicable solution approaches are discussed and three of them–-the extended Kalman filter (EKF), the iterated EKF, and the unscented Kalman filter (UKF)–-are selected and presented in detail. An application of the methodology with
C. Antoniou +2 more
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Long Term Prediction of Traffic Flow
IFAC Proceedings Volumes, 1987Abstract Prediction of traffic flow is now becoming a basic problem in designing variable information boards or route guidance (route telling) systems in road networks. Although, time series analysis is widely applied to this problem, it is known that the error of prediction increases rapidly as the prediction lead time increases and it is difficult ...
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Modeling Traffic Prediction Uncertainty for Traffic Management Decision Support
AIAA Guidance, Navigation, and Control Conference and Exhibit, 2004TFM personnel are known as Traffic Management Coordinators (TMCs) or Traffic Management Specialists (TMSs), depending on the facility in which they work. The general term for these personnel is traffic managers. One of their primary responsibilities is to ensure that traffic at national airspace system (NAS) resources (e.g., airspace sectors, airports)
Craig Wanke +3 more
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Utilizing Automatic Traffic Counters to Predict Traffic Flow Speed
2019 12th International Conference on Developments in eSystems Engineering (DeSE), 2019In the era of the Fourth Industrial Revolution, one of the key drivers of change is a sharing economy or so called “uberization”. Uberization is especially rapidly developing in the service sector, in particular – when organizing individual passenger transportation by taxi services.
Ahmed Adnan Makki +4 more
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Predicting Traffic lights to Improve Urban Traffic Fuel Consumption
2006 6th International Conference on ITS Telecommunications, 2006Modern traffic control systems include smart feedback into the traffic light control system. New ways of improving our transit systems fuel efficiency are now more than welcome due to global warming and oil high price. This paper presents a new approach on how drivers and traffic lights can interact to save fuel.
Miguel Sanchez +2 more
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2019
The target in the PRYSTINE project is to realize Fail-operational Urban Surround perceptION (FUSION), which is based on sensor fusion, and control functions in order to enable safe automated driving in urban and rural environments. Estimating the (near) future traffic conditions ahead provides the automated driving controller with enhanced information ...
Palm, Henri +2 more
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The target in the PRYSTINE project is to realize Fail-operational Urban Surround perceptION (FUSION), which is based on sensor fusion, and control functions in order to enable safe automated driving in urban and rural environments. Estimating the (near) future traffic conditions ahead provides the automated driving controller with enhanced information ...
Palm, Henri +2 more
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Traffic prediction accuracy is pivotal for fruitful urban transportation management. Existing methodologies often struggle to record complex spatio-temporal features of traffic patterns, which results in sub-optimal congestion management. This approach integrates Bayesian inference with a graph attention network (GAN) and a SARIMA model to ...
S. Jothishwar +3 more
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S. Jothishwar +3 more
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Adequate Traffic Prediction on Highway Corridors With Turbulent Traffic
SAE Technical Paper Series, 2003<div class="htmlview paragraph">The permanent growing traffic volume within the last years leads to novel characteristics of the occuring traffic conditions. However, stochastic prognosis systems on highway corridors still mainly rely on Markovian and ARMA processes [<span class="xref">2</span>], possessing the disadvantage of ...
R. Kriesten, U. Kiencke
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