Research of intelligent traffic flow prediction algorithm
نویسندگان
چکیده
منابع مشابه
Improved Optical Flow Algorithm for an Intelligent Traffic Tracking System
It is known that to get the contours and segmentations of moving cars is the essential step of image processing in intelligent traffic tracking systems. As an effective way, the optical flow algorithm is widely used for this kind of applications. But in traditional gradient-based approaches, in order to make the data responding to the edges of moving objects expand to the area, which gray level...
متن کاملTraffic Flow Prediction Using Mi Algorithm and Considering Noisy and Data Loss Conditions: an Application to Minnesota Traffic Flow Prediction
Traffic flow forecasting is useful for controlling traffic flow, traffic lights, and travel times. This study uses a multilayer perceptron neural network and the mutual information (MI) technique to forecast traffic flow and compares the prediction results with conventional traffic flow forecasting methods. The MI method is used to calculate the interdependency of historical traffic data and fu...
متن کاملAdaptive Online Traffic Flow Prediction Using Aggregated Neuro Fuzzy Approach
Short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. Although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . These results made the hybrid tools and approaches a more common method for ...
متن کاملIntelligent IP Traffic / Flow Classification System
In QoS-aware networks, such as DiffServ-enabled IP networks, UMTS, or IEEE 802.11e, the QoS-aware applications that run over them can identify service classes to their flows. The flows are then treated by the networks differently with respect to their classes. In contrast, legacy applications are not aware of the concept of QoS and do not specify any classes to their flows. Thus they cannot ben...
متن کاملImproved Intelligent Method for Traffic Flow Prediction Based on Artificial Neural Networks and Ant Colony Optimization
Real time traffic flow is often difficult to predict precisely because of the complexity, nonlinearity and uncertainty characteristics of the traffic flow data. Intelligent prediction methods such as artificial neural network (ANN), support vector machine (SVM), etc. have been proven effective to discover the nonlinear information hidden in the traffic flow data. Nevertheless, a single predicti...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2019
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1423/1/012038