One type of control device is intelligent traffic lights, which use traffic data collected at the local intersection, as well as future traffic information provided by RSUs, to create a dynamic time schedule to maximize the flow of traffic through an intersection. Another control system is ...
The Modular Quality of Service (QoS) command-line interface (MQC) is used to define the traffic flows that must be classified, where each traffic flow is called a class of service, or class. Later, a traffic policy is created and applied to a class. Al...
Analyzing flow data also allows for detecting malicious network traffic. But even gathering flow data has a high computational cost, so routers usually apply a sampling rate to generate flows. This sampling reduces the computational load on routers, but much information is lost. This work aims to...
The intervals during which traffic statistics are sampled play an important factor in determining how accurate the final traffic engineering analysis is. Therefore, we recommend that operators using TMS pay particular attention to the intervals specified. In particular, we recommend experimentation with in...
In order to response the time-varying speed, six traffic modes are classified by level of service (LOS) which is updated in 5 minute interval. In the end, with the real traffic data in Beijing for experiments, the model achieves a very good accuracy on the 5 minute interval forecasting, ...
However, their method requires sampling data packets, meaning that most of a flow needs to be observed before performing classification, which is not suitable for online applications. Secondly, and also the most recent work35, active learning (AL) as a subfield of ML, is a promising method ...
Deep-packet classification is classification performed at a finer level of granularity. For instance, if a packet is already classified as HTTP traffic, it may be further classified by HTTP traffic with a specific URL. Note Access control lists (ACLs) can also be used for classifying...
Before one attempts to model the funda- Models of traffic flow may be classified mental traffic characteristics of flow, speed, and either according to the theoretical approach concentration, it is important to have unam- :,. .. 4 INTRODUCTION biguous definitions of these characteristics in ful ...
which are ann-bit binary string length extracted from the network flows to classify network traffic. The solution represents raw network traffic as network flows, and then-bit signature is generated for each flow by monitoring the first few packets. Afterward, then-bit is fed to a state ...
Being bulky in nature, scalability is an imminent issue and maintenance is not cost effective. Additionally these devices require the positions of vehicles to be predefined which can be highly probable in real traffic flow. With the advance in wireless technology especially wireless sensor networks, ...