Traffic Flow Measurement Considering Occlusion

Two Dimensional Mixed Traffic Flow Considering the Transit Traffic

Based on the two-dimension cellular automaton traffic flow model (BML model), a mixed traffic flow model of urban traffic that considering the transit traffic is established in this paper by using theDon't block the box rules. We have investigated the influences of the transit traffic ratio, and found that, in most cases, the urban traffic flow exhibited jam phase. Moreover, focusing on the tra...

INTEGRATING IP TRAFFIC FLOW MEASUREMENT Integrating IP TraÆ Flow Measurement

RTFM: New Attributes for Traffic Flow Measurement

Status of this Memo This memo defines an Experimental Protocol for the Internet community. It does not specify an Internet standard of any kind. Discussion and suggestions for improvement are requested. Distribution of this memo is unlimited. Abstract The RTFM Traffic Measurement Architecture provides a general framework for describing and measuring network traffic flows. Flows are defined in t...

Inferring Traffic Flow Characteristics from Aggregated-Flow Measurement

In the Internet, statistical perspective of global traffic flows has been considered as an important key to network management. Nonetheless, it is expensive or sometime difficult to measure statistics of each flow separately. Therefore it is of practical importance to infer unobservable statistical characteristics of flows from characteristics of the aggregated-flows which are easily measured a...

Traffic 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...