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Microscopic Fuzzy Urban Traffic Simulation with Variable Demand
2012
Journal of Civil Engineering and Architecture
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Finally, it is helpful for evaluation of transport policy that the fuzzy logic based microscopic traffic simulation with modal choice model has been constructed. ...
In the study, the fuzzy logic based mode choice model is proposed. The proposed mode choice model and the existing microscopic traffic simulation model are combined. ...
Acknowledgment The research is granted by Japanese ministry of education as a part of Grants-in-Aid for Scientific Research, No. (C)22560533. ...
doi:10.17265/1934-7359/2012.05.003
fatcat:gelhc7ur3fbaphb24sqmqdpjae
PSO-Based Adaptive Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (PSO-AHIT2FKRS) for Travel Route Guidance
2020
IEEE transactions on intelligent transportation systems (Print)
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The present research work suggests an innovative advanced vehicle guidance system based on Hierarchical Interval Type-2 Fuzzy Logic model optimized by the Particle Swarm Optimization (PSO) method. ...
The simulation results proved the effectiveness of learning the Hierarchical Interval Type-2 Fuzzy Logic model using PSO real time technique to accomplish multi-objective optimality regarding two criteria ...
Type-2 Fuzzy Knowledge Representation System (PSO based AHIT2FKRS) for travel route guidance. ...
doi:10.1109/tits.2020.3016054
fatcat:pheeyefndrc2rmy6gda2wqfjom
Review of Traffic Signal Control based on Fuzzy Logic
2016
International Journal of Computer Applications
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Due to such type of parameters fuzzy logic method is best suitable approach for traffic signal control. ...
The performance of fuzzy logic based controller is better for two one way street based on extension of green light time. ...
They presented a multi agent system which was using the type-2 fuzzy decision module for traffic signal control in a complex urban road network. ...
doi:10.5120/ijca2016910869
fatcat:3se6zcrxxrdqjduvg75t2icfrq
An Evolutionary Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (EHIT2FKRS) for Travel Route Assignment
[article]
2018
arXiv
pre-print
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The present research paper suggests an innovative advanced traffic management system based on Hierarchical Interval Type-2 Fuzzy Logic model optimized by the Particle Swarm Optimization (PSO) method. ...
The experimental results proved the effectiveness of learning the Hierarchical Interval type-2 Fuzzy logic using real time particle swarm optimization technique PSO to accomplish multiobjective optimality ...
Section 2 overflies the use of fuzzy logic, Interval Type-2 Fuzzy Logic and PSO for the route choice problem. ...
arXiv:1812.01893v1
fatcat:3ao7h4trcbdkzkkfkqzx73e5im
Adaptive neuro-fuzzy interface system for gap acceptance behavior of right-turning vehicles at partially controlled T-intersections
2014
Journal of Modern Transportation
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This paper describes the application of adaptive neuro-fuzzy interface system (ANFIS) to the modeling of gap acceptance behavior of right-turning vehicles at limited priority T-intersections (in India, ...
Correct prediction by ANFIS models ranges from 75.17 % to 82.16 % for major road right turning and 87.20 % to 88.62 % for minor road right turning. ...
gap/lag for major and minor road vehicle model Adaptive neuro-fuzzy interface system for gap acceptance 239
Fig. 6 6 Structure of ANFIS
Fig. 8 Fig. 9 89 ROC curve and PR curve for minor road right-turning ...
doi:10.1007/s40534-014-0057-8
fatcat:kwuu7toy6fbtnbjeacici27f3a
Using learning automata for tuning fuzzy membership functions in learning driver preferences
2007
2007 International Conference on Intelligent and Advanced Systems
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One such application is the appearance of methods for learning a driver's preferences in making a choice between several routes. ...
This paper proposes a new method which combines a fuzzy expert system approach with learning automata. I. ...
The new system also shows flexibility as it can build a new and individualized rule base for each user, in contrast with more rigid and fixed rule bases that are usually used. ...
doi:10.1109/icias.2007.4658353
fatcat:5o25pvqpqvfmfeo3lsqqrbvwi4
Multi-route choice modelling in a metropolitan context: A comparative analysis using Multinomial Logit and Fuzzy Logic based approaches
2020
European Transport / Trasporti Europei
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The estimated Fuzzy Rule-Based Route Choice Model outperformed the conventional MNL model, accounting for the uncertain behaviour of travellers. ...
This study thus attempts to model travellers' route choice behaviour, using a fuzzy logic approach that is based on simple and logical 'if-then' linguistic rules. ...
Fuzzy Rule Based Route Choice Model operations. ...
doi:10.48295/et.2020.79.4
fatcat:p4xsdcerybe45atsruqo3ulr34
Fuzzy Inference System Framework to Prioritize the Deployment of Resources in Low Visibility Traffic Conditions
2019
IEEE Access
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INDEX TERMS Fog, fuzzy inference system, fuzzy logic, low visibility conditions. ...
make these types of decisions. ...
Fog occurrence and type of road involve one fuzzy set, while road risk conditions and current accident conditions involve two fuzzy sets (1 × 2 × 2 × 1 = 4).
A. ...
doi:10.1109/access.2019.2956918
fatcat:q5htifda2zdfzamdmtxezxncra
Developing adaptive driving route guidance systems based on fuzzy neural network
2009
2009 IEEE International Conference on Systems, Man and Cybernetics
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Keywords-route guidance system, route choice criteria, intelligent adaptive system, fuzzy inference system, TSK inference system, ANFIS I. ...
This paper proposes a route guidance system which can be moldable by drivers based on using fuzzy neural network. ...
Lotan and Koutsopoulos [8] have also proposed a rule-based fuzzy model based on the driver's route choice behavior. ...
doi:10.1109/icsmc.2009.5346804
dblp:conf/smc/LinCH09
fatcat:khskcfese5ej7ls262tjbkksfu
Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control
2014
The Scientific World Journal
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A fuzzy logic controller is incorporated into the semi-active suspension system. It is able to handle nonlinearities through the use of heuristic rules. ...
In all the simulation studies it is found that the optimized fuzzy logic controller surpasses the other types of control. ...
Sahar Noor for their ...
doi:10.1155/2014/174102
pmid:24574868
pmcid:PMC3915550
fatcat:3x7w4reez5bsvpu5zibt5uyqae
Site Selection for Industrial Wood Processing
[chapter]
2022
DAAAM Proceedings
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The parameters that limit the optimal choice of location are the length of raw material transportation, human resources, road infrastructure and energy infrastructure. ...
The paper will use the fuzzy logic methodology and MATLAB as a tool for evaluating location selection. It is necessary to create a model that provides the most desirable location for investment. ...
The paper is organized as follows: In Section 2, the basics of fuzzy logic are given. Fuzzy logic methodology for decision making and construction fuzzy rules are given in Section 3. ...
doi:10.2507/33rd.daaam.proceedings.002
fatcat:an5tkxserfdxvo7m3i5j2iue3u
Performance evaluation of cost-based vs. fuzzy-logic-based prediction approaches in PRIDE
2008
Unmanned Systems Technology X
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Using the high-fidelity physics-based framework for the Unified System for Automation and Robot Simulation (USARSim), we compare the performance of the two approaches in different driving situations at ...
The second is a fuzzy-logic-based approach that deals with the pervasive presence of uncertainty in the environment to negotiate complex traffic situations. ...
Rule Base Once the membership functions are defined for the fuzzy sets, we need to build a rule base for the system. ...
doi:10.1117/12.779601
fatcat:cibzi5zrtze3blnicdrdktbrxy
Fuzzy logic systems for transportation engineering: the state of the art
1999
Transportation Research Part A: Policy and Practice
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The basic premises of fuzzy logic systems are presented as well as a detailed analysis of fuzzy logic systems developed to solve various trac and transportation engineering problems. ...
Emphasis is put on the importance of fuzzy logic systems as universal approximators in solving trac and transportation problems. ...
Again, Wang and Mendel (1992a) procedure for generation of the fuzzy rule base was applied, and the obtained fuzzy system was tested. ...
doi:10.1016/s0965-8564(98)00024-x
fatcat:f5lorw2nczhepokzbi5kkymif4
A fuzzy decision-support system in road safety planning
2017
Proceedings of the Institution of Civil Engineers : Transport
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In the next step, a fuzzy decision-making system is constructed to convert the information obtained from the DEA into a rule-based system that can be used by policy makers to evaluate the expected outcomes ...
The objective of this research was to develop a decision-support system to help road safety policy makers make the right choices in road safety planning based on the efficiency of previously implemented ...
of new targets for a region based on its current road safety situation and what-if analyses carried out on the rule-based system. ...
doi:10.1680/jtran.15.00062
fatcat:ol5t3e76ijcdrhxxzjyaphnpg4
The Decision Support System Education Career Choice Using Fuzzy Model
2021
International Conference on Computational Linguistics and Intelligent Systems
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A knowledge base for each model has been developed, consisting of production rules, which are presented in the form of fuzzy linguistic statements. ...
It is based on a two-level mathematical model, which includes, at the first level, an expert system, and at the second level, a fuzzy inference model to describe the selection process, which are complex ...
A rule-based system is used to compare factors and common occupations based on sixteen personality types. In the article [10] , the authors present a career decision support system. ...
dblp:conf/colins/ProninaP21
fatcat:nu3klx474jb33ishiu6hbusn7u
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