Fuzzy logic based traffic light controller

Kulkarni, G. H.; Waingankar, P.G.

doi:10.1109/iciinfs.2007.4579157

Cited by 59 publications

(26 citation statements)

References 5 publications

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“…In [14,15,16,17], proposed a fuzzy traffic control system using fuzzy logic rules and image processing approach to determine the amount of vehicle waiting during the RED light ON/waiting phase and the frequency of arrival during the GREEN phase. The inputs logic rule depend on the amount of automobiles on each lane to the point of intersection using cameras, and the number of the detected vehicle is transmitted to the controller for immediate action.…”

Section: Related Workmentioning

confidence: 99%

An Embedded Fuzzy Logic Based Application for Density Traffic Control System

Adewale

Jumoke

Adegboye

et al. 2018

Int. J. Art. Intell. Research

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The control of density traffic at cross junction road usually manned by human efforts or implementation of automatic traffic light system. This system seem and proves to be inefficient with some challenges. The major constraints of this traffic control are as a result of the inability of most traffic control systems to assign appropriate waiting time for vehicles based on the lane density. Also with little or no consideration for pedestrians, emergency and security agents priorities. In view of this, an intelligent density traffic control system using (fuzzy logic) which is capable of providing priority to the road users based on the density and emergency situations was developed and presented in this paper. This system will obtain the approximate amount of vehicle and presence of pedestrians respectfully on each lane with help of Infrared Sensors (IR) and siren detection system for emergency and security road users. The working principle of this system depending on the logic inputs rules given into the processing unit by the (sensors, S1 and S2) which helps the system to generates a timing sequence that best suit the number of vehicles and pedestrians available on the lane at point in time.

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Section: Related Workmentioning

confidence: 99%

An Embedded Fuzzy Logic Based Application for Density Traffic Control System

Adewale

Jumoke

Adegboye

et al. 2018

Int. J. Art. Intell. Research

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show abstract

“…Another vital advantages of fuzzy system is it is easy to implement. Fuzzy logic control is widely use in power system control, converter designing, aerospace controlling etc [9][10][11][12][13][14][15]. That's why, some researchers is also trying to improve the traffic system using neural network, fuzzy logic etc.…”

Section: Introductionmentioning

confidence: 99%

A Microcontroller Based Intelligent Traffic Control System

Arifin¹,

Razi²,

Haque³

et al. 2019

AJESA

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A new microcontroller based intelligent traffic control system is proposed in this paper. Instead of changing traffic lights automatically for a given interval, this system allows passing the vehicles considering the number of vehicles on the roads. An Atmega 32 microcontroller and infrared sensors (IR sensors) are used to implement the traffic system. An algorithm is also developed for this purpose. The system is simulated and implemented also by constructing a test rig. The results from the simulation and experimental test rig confirm its appropriateness of using in the roads of different cities. No further processing scheme is required for this intelligent traffic control system.

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“…By everyday development of computer technologies, dramatic progress took place in the case of artificial intelligence. These methods include: fuzzy logic (see [4,6,12,13,19,22,26] and [1,8,10,14,15,17,18,23]), neural network (see [25]), evolutionary algorithms (see [3]), and reinforcement learning (see [2]) which used engineering sciences are. It seems that by changing the viewpoint on artificial intelligence, new ways could be taken for controlling the traffic [16].…”

Section: Introductionmentioning

confidence: 99%

“…From this motivation, the main focus for the research has been on application for fuzzy control method for intersection control particularly aimed at an isolated intersection. However, the reviewed research either involved only through movement or with no turning movements [4,6,12,13,19,26].…”

Section: Introductionmentioning

confidence: 99%

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Controlling multi variable traffic light timing in an isolated intersection using a novel fuzzy algorithm

Talab

Mohammadkhani

Haddadnia

2013

Journal of Intelligent &Amp; Fuzzy Systems

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Every day growth of the vehicles has become one of the biggest problems of urbanism especially in major cities. This can waste people's time, increase the fuel consumption, air pollution, and increase the density of cars and vehicles. To improve this problem, we first designed a comprehensive model of urban traffic network in this article, using state space equations and SIMULINK Program MATLAB and then by using a novel algorithm, two fuzzy controllers for controlling traffic light in a two phase isolated intersection in the multi Variable Control System.In this system, types of sensors is video detection, they are placed strategically at incoming and outgoing legs (lanes) and the controller utilize the information received from these sensors to make optimal decisions to minimize the goal function. The simulation results show that TASFC (Traffic Actuated Signal Fuzzy Control) had a great improvement in 6 different traffic conditions such as certain, uncertain, using random data, and in 3 different traffic conditions using the real case study of EBADI-KASHANI intersection in Mashhad, Iran, in comparison with the fixed time controller, real operation of Australian SCATS system and FSCS (Fuzzy Signal Control System) system in previous work for estimation of the goal function which is minimizing the queue length and the delay time of the vehicles.

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Fuzzy logic based traffic light controller

Cited by 59 publications

References 5 publications

An Embedded Fuzzy Logic Based Application for Density Traffic Control System

An Embedded Fuzzy Logic Based Application for Density Traffic Control System

A Microcontroller Based Intelligent Traffic Control System

Controlling multi variable traffic light timing in an isolated intersection using a novel fuzzy algorithm

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