An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream

Yusupbekov, N. R.; Marakhimov, Avazjon; Igamberdiev, H. Z.; Umarov, Sh.X.

doi:10.1155/2016/6719459

Cited by 27 publications

(10 citation statements)

References 9 publications

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“…They developed algorithms to deal with information uncertainty in dense traffic flows. Adaptive fuzzy logic management was established for traffic control systems, the proposed method allowed it to more effectively control the intersection than the fixed time traffic signals [8]. With proposed WeightSpreadsheetPad technology, the system with fuzzy logic controller and PIC controller for intelligent traffic light improved overall performance compared to traditional traffic control [9].…”

Section: Related Workmentioning

confidence: 99%

A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator

Mahmood¹,

Ali²,

Durdu³

2019

IJTSRD

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In this paper, a two-stage fuzzy logic system has been proposed to control an isolated intersection adaptively. The aim of this work is to minimize the average waiting time for a different traffic flow rates in real time means. In the first stage, the system consists of two modules named next phase selection module and the green phase extension module. In the second stage the system consists of the decision named module. The study was performed using SUMO traffic simulator. A comparison is made between a fuzzy logic controller and a conventional fixedtime controller. As a result, fuzzy logic controller has shown better performance.

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Section: Related Workmentioning

confidence: 99%

A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator

Mahmood¹,

Ali²,

Durdu³

2019

IJTSRD

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“…In 2016, Uddin et al [13] proposed the use of HOG and SIFT as a combined future in detecting of an individual object in the crowded area. In addition, Yusupbekov et al [14] discussed an adaptive fuzzylogic traffic control systems (AFLTCS) in their paper. The system is capable of dealing with uncertain and unclear information in the scenario of heavy traffic streams.…”

Section: Related Workmentioning

confidence: 99%

Vehicle Accident Report Application for Solving Traffic Problems and Reduce the Ratio of Pollution using Case Study: Kuwait City

Alkandari¹,

Moein²

2018

IJEECS

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<span lang="EN-US">Minor traffic accidents have become a major problem facing the road users in the recent years, according to the statistics from the Ministry of Interior (MOI) in Kuwait there were recorded 80,388 accidents by the year 2014. Accidents not only affect the mobility but also contribute to air pollution and slow down economic growth. These effects are the result of the seriously extended trips travel time due to accumulated vehicles queue. In some accidents cases, the lost time waiting for the arrival of the traffic officers and filling up the accident report could take up to 45 minutes. The new idea of Vehicle Accident Report application (I-VAR) concept developed by the research team would reduce the waiting time up to 3 minutes (93% savings), which would increase the level of service of the segment of a roadway. In addition, the study will be discussed four major situations on some of the busiest roads in Kuwait. Specifically, gas emissions and cost estimation. Improve the pollution obviously, by using the (I-VAR) application for the minor accidents there is an amount of 360,776,460 K.D would be saved yearly from the Kuwait government funds. It is a consequence of the huge savings in alleviating traffic congestion and generally produces more saver and efficient travel conditions.</span>

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“…In 2016, Uddin, et al [14] proposed the use of HOG and SIFT as a combined future in detecting of individual object in crowded area. In addition, Yusupbekov, et al [15] discussed an adaptive fuzzy-logic traffic control systems (AFLTCS) in their paper. The system is capable to deal with uncertain and unclear information in the scenario of heavy traffic streams.…”

Section: Related Workmentioning

confidence: 99%

Implementation of Dynamic Fuzzy Logic Control of Traffic Light with Accident Detection and Action System using iTraffic Simulation

Alkandari¹,

Alshaikhli²

2018

IJEECS

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Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system that is further branched into two separate systems: An Accident Detection system and an Action system that is intended to solve the congestion related to the vehicular traffic. The primary target of this paper is to discuss the Action system, which depends on the Accident Detection system. This paper explained the two parts of the Action system. It showed the improvement of the Action system with %9.32 in total car crossed. It also presented different scenarios using iTraffic simulation and description of each scenario is displayed with details about the road variables and the simulation results with and without the action system.

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An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream

Cited by 27 publications

References 9 publications

A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator

A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator

Vehicle Accident Report Application for Solving Traffic Problems and Reduce the Ratio of Pollution using Case Study: Kuwait City

Implementation of Dynamic Fuzzy Logic Control of Traffic Light with Accident Detection and Action System using iTraffic Simulation

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