M-GREEN: An active queue management mechanism for multi-QoS classes

Hwang, Lain-Chyr

doi:10.1016/j.csi.2013.07.007

Cited by 4 publications

(3 citation statements)

References 25 publications

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“…According to the Deming Cycle (PDCA), proper evaluation can cause the improvement of performance and the modification of probable mistakes. Besides, based on the study of [6], considering the comments of customers about the products results in quality improvement. In addition, [7] examined the speed control and intelligent transportation systems by concentrating on the views of drivers.…”

Section: Introductionmentioning

confidence: 99%

Providing Performance Evaluation Indicators for Intelligent Transportation Systems (The Case Study of Tehran-Karaj Freeway Located in Iran)

Taimouri¹,

Emamisaleh²

2020

JTTs

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Intelligent Transportation Systems (ITS) play a fundamental role in reducing traffic congestion and increasing safety during daily transportation. These systems can also be useful in improving social welfare leading to general satisfaction. Proper performance evaluation can be efficient in improving the performance of these systems, and providing a scientific assessment index system can assist decision-makers in smart communities to plan for the development of ITS. However, the evaluation of these systems requires identifying appropriate indicators of performance evaluation that are consistent with the views of the beneficiaries of these systems. In this paper, performance evaluation indicators of ITS have been identified, and three indicators entitled "environmental and safety", "assistance in reducing traffic congestion" and "attractive public transport" are presented to evaluate the performance of these systems. Moreover, the intelligent transport systems of the Tehran-Karaj Freeway in Iran are studied, and inferential statistical methods are employed to test the research hypotheses. It is worth noticing that in this study, a one-sample T-test method is used for hypotheses assessment and the SPSS software was used to analyze the findings. Also, the results demonstrated that the performance of ITS in the Tehran-Karaj Freeway regarding the indicators, such as "Declaration of route blocking information due to maintenance or reconstruction" and "Declaration of path geometry conditions" has not been acceptable.

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Section: Introductionmentioning

confidence: 99%

Providing Performance Evaluation Indicators for Intelligent Transportation Systems (The Case Study of Tehran-Karaj Freeway Located in Iran)

Taimouri¹,

Emamisaleh²

2020

JTTs

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“…Consequently, numerous methods have been projected to develop the projected method, including Stability RED, Fuzzy RED [4], Adaptive RED [5], PD-RED (Proportional-Integral) methods. Notably, some have also tried to offer newer methods for active queue control, including BLUE [6], Multi-GREEN [7]. The nonlinear RED model has also been applied through the TRED method to develop the RED method [8].…”

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confidence: 99%

Bandwidth Management with Congestion Control Approach and Fuzzy Logic

Azami

Narm

2021

IJE

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“…Active Queue Management (AQM) [7,8] is a proactive congestion control mechanism, AQM is different from drop-tail and it drops packets before the queue is full and effectively solves the global synchronization problem.…”

Section: Related Workmentioning

confidence: 99%