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Improvement of the road traffic management by an ant-hierarchical fuzzy system
2011
2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Proceedings
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This method allows adjusting intelligently and promptly the road traffic according to the real-time changes in the road network states by the integration of an adaptive vehicle guidance system. ...
In view of dynamicity on road networks and the sharp increase of traffic jam states, the road traffic management becomes more complex. ...
ACKNOWLEDGMENT The authors would like to acknowledge the financial support of this work by grants from General Direction of Scientific Research (DGRST), Tunisia, under the ARUB program. ...
doi:10.1109/civts.2011.5949535
dblp:conf/civts/KammounKAC11
fatcat:2h7ro2vuufewljaeohtwvwu4ra
Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model
2014
Transportation Research Part C: Emerging Technologies
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This paper proposes an adaptive multiagent system based on the ant colony behavior and the hierarchical fuzzy model. ...
This system allows adjusting efficiently the road traffic according to the realtime changes in road networks by the integration of an adaptive vehicle route guidance system. ...
Acknowledgments This work was supported, in part, by the General Direction of Scientific Research (DGRST) in Tunisia (ARUB program) and by the Spanish Ministry of Science and Innovation (grant no. ...
doi:10.1016/j.trc.2014.03.003
fatcat:sahnsazdlvevvoplvgofad4hvy
Fuzzy-Ant Colony based Routing on Road Networks
2016
APTIKOM Journal on Computer Science and Information Technologies
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The important rates of parameters such as path length and traffic are adjustable by the user. The purposes of the new hierarchical routing algorithm significantly reduce the search space. ...
It introduces a multi parameter route selection system which employs Fuzzy Logic (FL) and ant's behavior in nature is applied to the dynamic routing. ...
Fuzzy Logic-Ant Colony System-Hierarchical-Based Model The steps involved in the Fuzzy Logic -Ant Colony System is explained as below. ...
doi:10.34306/csit.v1i1.42
fatcat:g73ijlgqqza3fbhz3twopfsuvy
Fuzzy-Ant Colony based Routing on Road Networks
2016
APTIKOM Journal on Computer Science and Information Technologies
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The important rates of parameters such as path length and traffic are adjustable by the user. The purposes of the new hierarchical routing algorithm significantly reduce the search space. ...
It introduces a multi parameter route selection system which employs Fuzzy Logic (FL) and ant's behavior in nature is applied to the dynamic routing. ...
Fuzzy Logic-Ant Colony System-Hierarchical-Based Model The steps involved in the Fuzzy Logic -Ant Colony System is explained as below. ...
doi:10.11591/aptikom.j.csit.102
fatcat:rhpyxuft6vegzne4dw3s5f5uvu
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. ...
Urban Traffic Networks are characterized by high dynamics of traffic flow and increased travel time, including waiting times. This leads to more complex road traffic management. ...
ACKNOWLEDGMENT The research leading to these results has received funding from the Ministry of Higher Education and Scientific Research of Tunisia under the grant agreement number LR11ES48. ...
arXiv:1812.01893v1
fatcat:3ao7h4trcbdkzkkfkqzx73e5im
Present and Future Perspective on Optimization of Road Network Management
English
2015
International Journal of Computer Trends and Technology
English
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In observation of dynamicity on road networks and the sharp increase of traffic congestion, accidents, states, the road traffic management becomes more challenging research area. ...
It is need to develop efficient and optimized road network management to prevent the traffic congestion and accidents in the present development. ...
[4] [5] proposed an adaptive multiagent system based on the ant colony behaviour and the hierarchical fuzzy model. ...
doi:10.14445/22312803/ijctt-v22p112
fatcat:qxmwc3dffza2dbxvvfsro7vwci
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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Indeed, this system allows an intelligent and prompt adjustment of the road traffic network in a dynamic way and improves the entire road network quality, particularly in case of congestions or jams, considering ...
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. ...
Type-2 Fuzzy Logic-Based Road Traffic Management Type-2 Fuzzy set [33] represents an extension of the concept of Type-1-Fuzzy set. ...
doi:10.1109/tits.2020.3016054
fatcat:pheeyefndrc2rmy6gda2wqfjom
Multi-agent based vehicular congestion management
2011
2011 IEEE Intelligent Vehicles Symposium (IV)
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Existing congestion management techniques in Intelligent Transportation Systems (ITS) have not been very effective due to lack of autonomous and collaborative behavior of the constituent traffic control ...
The paper classifies the multi-agent techniques based on the locus of decision control intelligence and focuses on their suitability of application in congestion management. ...
System (RoSFuzMAS) approach in [36] consists of a City Agent, Road-side Agent (RSA) and Intelligent Vehicle Agent (IVA) and uses a hierarchical fuzzy inference engine for optimal route computation. ...
doi:10.1109/ivs.2011.5940493
dblp:conf/ivs/DesaiLDS11
fatcat:hl6wvy6n2rdnhn67j4dtzztchy
Improvement of Multi-agent Routing Guidance with an Intelligent Traffic Light Scheduling and the Ability to Select Intermediate Destinations
2021
International Journal of Engineering
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The second algorithm considers the density of traffic flow and the presence of emergency vehicles. This algorithm evaluates the status of the traffic flow by the fuzzy logic. ...
The evaluation is conducted by considering traffic flow speed and density. The output of fuzzy logic is used by the Gradational Search Algorithm (GSA). ...
The second algorithm considers the density of traffic flow and the presence of emergency vehicles. This algorithm evaluates the status of the traffic flow by the fuzzy logic. ...
doi:10.5829/ije.2021.34.04a.11
fatcat:m6xkaayahrgc7m6mtulpkup6rq
Index of Papers
2012
Procedia - Social and Behavioral Sciences
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A modular soft computing based method for vehicles repositioning in bike-sharing systems 219. E-mobility Fleet Management Using Ant Algorithms Stream C: Traffic Analysis and Management C1. ...
An optimisation algorithm to establish the location of stations of a mixed fleet biking system: an application to the city of Lisbon 110. ...
doi:10.1016/j.sbspro.2012.09.719
fatcat:r4q7zfcqlbhzjmr2z4zapvnbcu
An adaptive vehicle guidance system instigated from ant colony behavior
2010
2010 IEEE International Conference on Systems, Man and Cybernetics
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Series of simulations, under a multiagent platform, allow us to discuss the improvement of the global road traffic quality in terms of time, fluidity, and adaptativity. ...
We propose in this paper an adaptive vehicle guidance system instigated from the ants behavior, well known for its good adaptativity; this system allows adjusting intelligently and promptly the route choice ...
ACKNOW LEDGMENT The authors acknowledge the financial support of this work by grants from General Direction of Scientific Research (DGRST), Tunisia, under the ARUB program. ...
doi:10.1109/icsmc.2010.5642001
dblp:conf/smc/KammounKAC10
fatcat:qwbtofe6qvdk7c5svpc7wmoi54
IEEE Access Special Section Editorial: Big Data Technology and Applications in Intelligent Transportation
2020
IEEE Access
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In the article ''Prediction of vessel traffic volume in ports based on improved fuzzy neural network,'' by Su et al., the authors proposed an improved fuzzy neural network (FNN) model with a quantum genetic ...
The classic ACO was improved into the rank-based ant system. ...
doi:10.1109/access.2020.3035440
fatcat:r3i3wkhttndbjnyciux3xuny3a
A Study to Enhance the Route Optimization Algorithm for the Internet of Vehicle
2022
Wireless Communications and Mobile Computing
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In the Internet of Things (IoT), the advancement of the new modern era of Internet-off driving, known as the Internet of Vehicles (IoV), is aimed at the Intelligent Transportation System (ITS) to improve ...
road safety and traffic. ...
An evolutionary system deals with the collective behavior of groups of worms, birds, ants, and bees. ...
doi:10.1155/2022/1453187
fatcat:nh64wfmdlfdvfbyd3kjzsodwmy
Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System
2010
Applied Computational Intelligence and Soft Computing
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This paper introduces a multiparameter route selection system which employs fuzzy logic (FL) for local pheromone updating of an ant colony system (ACS) in detection of optimum multiparameter direction ...
The importance rates of parameters such as path length and traffic are adjustable by the user. ...
The authors would also like to appreciate customer service advisor of the London Traffic Control Center, United Kingdom, for providing traffic data of this project. ...
doi:10.1155/2010/428270
fatcat:quf4lk3o4zdevic4hxeis4ykqe
2019 Index IEEE Transactions on Intelligent Transportation Systems Vol. 20
2019
IEEE transactions on intelligent transportation systems (Print)
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., +, An AWID and AWIS X-By-Wire UGV: Design and Hierarchical Chassis Dynamics Control. ...
., +, TITS April 2019 1329-1340
Fuzzy logic
Adaptive and Non-Adaptive Strategies for Optimal Energy Management and
Sizing of a Dual Storage System in a Hybrid Electric Bus. ...
doi:10.1109/tits.2020.2966388
fatcat:xkvww7uabzhlzgfz3yiecyb75y
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