Fuzzy Rule Based Traffic Signal Control System for Oversaturated Intersections

Sheraz, Syed Muhammad; Abbas, Syed Ali; Noor, Humera

doi:10.1109/cinc.2009.245

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…Engineering Technology Open Access Journal on historical data to compare between the proposed and existing systems. Many researchers work on control of an isolated intersection with fuzzy control method [1][2][3][4][5]. Few of them work in a simple isolated intersection [6,7].…”

Section: Fuzzy Logic Traffic Control Systemmentioning

confidence: 99%

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Administering Saturated Signalized Networks Through Fuzzy Technique

Alothman

2018

ETOAJ

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An adaptive control system is developed using a fuzzy method to improve the traffic control system performance and to reduce the overall delay for four phases simple intersections within a grid of network. The main functions of the developed control system are to accelerate the cycle time and to reduce the loss time by determining the green time for each phase based on traffic flow. The fuzzy rules are employed using visual basic and computer-based program (Excel) to run the validation process. The developed control system is tested on five intersections in a simulated network in the State of Kuwait during four different peak periods. The results indicated that the number of vehicles passing through intersection phases has increased in most phases by an average of 12.9%, 23.3%, 10.4% and by 21.2%. The green time is increased by an average of 9.1%, 5.8%, 9.9% and 6.3%. Number of intersections' cycles remain constant at most of the time which means that the developed control system distributes the green phases' times based on the traffic situation. The developed control system can be applied on simple intersections with four perpendicular phases that consist of collector, major arterial or minor arterial roads.

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Section: Fuzzy Logic Traffic Control Systemmentioning

confidence: 99%

“…At the same time, the control system reads the traffic flow exiting from the intersection to the surrounding four directions by step-line detectors that are placed at the stop-line. The system at step 11 calculates the vehicle residual using Eqn (2).…”

Section: Stage 4: Execution Of the Developed Control Systemmentioning

confidence: 99%

Administering Saturated Signalized Networks Through Fuzzy Technique

Alothman

2018

ETOAJ

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“…Since fuzzy control theory was applied to a single intersection control by the Greek scholars Pappis and the Mamdani (1977) [4], there has been a lot of research which applied fuzzy control in traffic control from at home and abroad. Most of them focus on the implementation and optimization of fuzzy control [5][6][7][8][9][10]. In the work of [11], it takes traffic conditions of the green phase and red phase into consideration, but the phase of intersection is four-phase which ignores the conflicts among the traffic flow that turns right, non-motor vehicle flow and the pedestrian.…”

Section: Introductionmentioning

confidence: 99%

Study on Traffic Signal Control for Single Intersection via Fuzzy Logic

Chen

Jiang

2012

AMM

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Considering the status of the modern road transport system, traffic signal control for isolated intersection is studied in this paper. A traffic signal control method for six-phase intersection is proposed in this paper, aiming at reducing the average waiting time of vehicles. A two-stage fuzzy controller for this method is designed in the paper. This method takes into account not only the traffic condition of the current prevailing phase and the next phase, but also the traffic demand of the vehicle flow that turn right, non-motorized traffic flow and pedestrian. Taking the average waiting time of vehicles as the evaluation index, we make simulations on the control method proposed above. The result for the simulation shows that the performance of this method is superior to that of the timing signal control method.

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“…In [10] a similar method to that of [9] was presented, to avoid pedestrians coming in contact with heavy traffic rather than just sensing the presence of traffic near junctions. The work of [11] designed a system that utilizes and efficiently manages traffic light controllers. The work described an adaptive traffic control system based on an improved traffic infrastructure using Wireless Sensor Network (WSN).…”

Section: Related Workmentioning

confidence: 99%

Mobile Road Traffic Management System Using Weighted Sensor

Akinboro

Adeyiga

Omotosho

et al. 2017

Int. J. Interact. Mob. Technol.

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Abstract-Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion has become a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model was simulated and the performance was assessed using response time, delay and throughput. Results showed that, mobile devices are capable of assisting road users' in faster decision making by providing real-time traffic information and recommending alternative routes.

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Fuzzy Rule Based Traffic Signal Control System for Oversaturated Intersections

Cited by 5 publications

References 4 publications

Administering Saturated Signalized Networks Through Fuzzy Technique

Administering Saturated Signalized Networks Through Fuzzy Technique

Study on Traffic Signal Control for Single Intersection via Fuzzy Logic

Mobile Road Traffic Management System Using Weighted Sensor

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