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A review on the hybridization of fuzzy systems and machine learning techniques
Fuzzy systems are used in modeling and implementation of many real-world applications
operating under an imprecise and uncertain environment. Such systems have effective …
operating under an imprecise and uncertain environment. Such systems have effective …
[PDF][PDF] Literature review on traffic control systems used worldwide
V Mahavar, J Juremalani - Journal of Emerging Technologies and …, 2018 - researchgate.net
Road infrastructure has seen consistent improvement in the last few years. Connectivity has
improved and road transportation has become a focus of rapid development. Roads are …
improved and road transportation has become a focus of rapid development. Roads are …
A hybrid fuzzy genetic algorithm for an adaptive traffic signal system
This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and
Genetic Algorithms (GAs) and its application on a traffic signal system. FLCs have been …
Genetic Algorithms (GAs) and its application on a traffic signal system. FLCs have been …
Hybrid algorithm: fuzzy logic-genetic algorithm on traffic light intelligent system
SM Odeh - 2015 IEEE international conference on fuzzy …, 2015 - ieeexplore.ieee.org
This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and
Genetic Algorithms (GA) and its application on a traffic light system. FLCs have been widely …
Genetic Algorithms (GA) and its application on a traffic light system. FLCs have been widely …
Enhanced vehicle detection mechanism for traffic management in smart cities
W Tahir, RA Wagan, B Naeem, A Ahmed… - Wireless Personal …, 2024 - Springer
Nowadays Road traffic is a major issue in develo** and under-develo** countries. With
the rampant increase in traffic, society faces major traffic threats including life threats and …
the rampant increase in traffic, society faces major traffic threats including life threats and …
[PDF][PDF] A review on the development of fuzzy classifiers with improved interpretability and accuracy parameters
F Azad, PK Shukla - Journal of Informatics Electrical and …, 2021 - pdfs.semanticscholar.org
This review paper of fuzzy classifiers with improved interpretability and accuracy parameter
discussed the most fundamental aspect of very effective and powerful tools in form of …
discussed the most fundamental aspect of very effective and powerful tools in form of …
Prediction of Route Choosing Behavior Based on Genetic Algorithm Approach
AI (Artificial Intelligence) became one of the most used concepts in last years. This concept
tries to be the foundation of standalone systems that can learn by themselves to adapt to …
tries to be the foundation of standalone systems that can learn by themselves to adapt to …
[PDF][PDF] Development of a Multi Agent Cognitive Network for Urban Traffic System (MACNUTS)
T Shailendra - 2016 - 103.85.141.226
The limited road infrastructure and exponentially increasing number of vehicles are major
reasons for traffic congestion in urban cities. With these unavoidable limitations, the Artificial …
reasons for traffic congestion in urban cities. With these unavoidable limitations, the Artificial …
[PDF][PDF] A Hybrid Method for Automatic Traffic Control Mechanism
S Vijayarani, M Janakiram, E Suganya - ijcoa.com
Traffic control method is an interconnection of sign devices positioned at road intersections,
pedestrian crossings and different locations to manage competing flows of traffic. This work …
pedestrian crossings and different locations to manage competing flows of traffic. This work …
[PDF][PDF] Research Article A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System
This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and
Genetic Algorithms (GAs) and its application on a traffic signal system. FLCs have been …
Genetic Algorithms (GAs) and its application on a traffic signal system. FLCs have been …