Adaptive route selection for dynamic route guidance system based on fuzzy-neural approaches

Pang, G.K.H.; Takabashi, K.; Yokota, Takashi; Takenaga, Hiroshi

doi:10.1109/25.806795

Cited by 92 publications

(19 citation statements)

References 6 publications

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“…Analytical Hierarchy Process (AHP) is a suitable method for discrete decision making [14][15][16]. In this method after identifying of criteria and alternatives, pair wise comparison matrix for criteria and alternatives regarding to each criterion is obtained via weighting process from formula or knowledge of expert persons.…”

Section: Route Optimization Using Ahp Methodmentioning

confidence: 99%

“…so, for designing a system with attack probability optimized route selection to achieve maximum ability against EMI must be provided for a cavity with transmission conductors, appropriate route selection can be done via Analytical Hierarchy Process (AHP), Fussy AHP, Artificial Neural Network (ANN), etc. the AHP approach is a flexible but Well-Structured methodology to analyze and solve complex decision problems by structuring them into a hierarchical framework [14][15][16]. An important parameter of AHP criteria for route selection in proposed problem is EMI.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Presentation of an Algorithm for Secure Data Transmission based on Optimal Route Selection during Electromagnetic Interference Occurrence

Mohammadi

Amirani

Faghihi

2018

IJECE

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This paper proposes a comprehensive algorithm for secure data transmission via communication conductors considering route optimization, shielding and data authentication. Using of appropriate coding method causes more efficiency for suggested algorithm during electromagnetic field attack occurrence. In this paper, MOM simulation via FIKO software is done for field distribution. Due to critical situation of malfunctioning of data transferring, appropriate shield is designed and examined by shielding effectiveness (SE) criterion resulted of MOM simulation; finally to achieve reliability of data security, MAC hash function is used for space with field attack probability, turbo code is employed.

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Section: Route Optimization Using Ahp Methodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Presentation of an Algorithm for Secure Data Transmission based on Optimal Route Selection during Electromagnetic Interference Occurrence

Mohammadi

Amirani

Faghihi

2018

IJECE

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“…Now-a-days, for the establishment of an ARSSS, FNN have considered one of the most eligible technique for implementing an intelligent route selection support system [1] [26]. In 2011, a bioinspired integrated with FNN introduced a dynamic route selection system [27].…”

Section: Related Workmentioning

confidence: 99%

FNN based Adaptive Route Selection Support System

Rahman¹,

Kaiser²,

Ahmmed³

2016

ijacsa

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Abstract-This paper presents Fuzzy Neural Network (FNN) based Adaptive Route Selection Support System (ARSSS) for assisting drivers of vehicles. The aim of the proposed ARSSS system is to select path based on shortest possible time. The proposed system intakes traffic information, such as volume to capacity ratio, traffic flow, vehicle queue length and green cycle length, passenger car unit etc using different types of sensor nodes, remote servers, CCTVs and the road information such as path length, signalized junctions, intersection points between source-destination pair are captured using GPS service. A FNN has been employed to select an optimal path having shortest time. The input parameters of FNN are distance, signal point delay, road type and traffic flow whereas the output parameter is path selection probability which paves the way to identify the best suitable path. The simulation result revels that FNN based ARSSS outperforms more accurate than that of other route selection support system (webster delay model) and artificial neural network (ANN) in estimating path delay.

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“…An important work was contributed by Pang et al [10] in their Fuzzy-Neural approach to solving this problem. Their system initially asked the user to indicate the importance of different parameters.…”

Section: A Literature Reviewmentioning

confidence: 99%

Using learning automata for tuning fuzzy membership functions in learning driver preferences

Afshordi

Meybodi

2007

2007 International Conference on Intelligent and Advanced Systems

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Abstract-With the growth of car navigation systems technology come a variety of enhancements aiming to increase user comfort and satisfaction. One such application is the appearance of methods for learning a driver's preferences in making a choice between several routes. A driver may know his/her basic and most important factors in making such a decision, but may have these factors weighing in differently. Hence, machine learning methods can be applied to model the driver's preferences, thus predicting the result of the decision process. This paper proposes a new method which combines a fuzzy expert system approach with learning automata.

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Adaptive route selection for dynamic route guidance system based on fuzzy-neural approaches

Cited by 92 publications

References 6 publications

Presentation of an Algorithm for Secure Data Transmission based on Optimal Route Selection during Electromagnetic Interference Occurrence

Presentation of an Algorithm for Secure Data Transmission based on Optimal Route Selection during Electromagnetic Interference Occurrence

FNN based Adaptive Route Selection Support System

Using learning automata for tuning fuzzy membership functions in learning driver preferences

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