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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 ...
This pa-per proposes a Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (HIT2FKRS) based on Particle Swarm Optimization for Travel Route Assignment. ...
arXiv:1812.01893v1
fatcat:3ao7h4trcbdkzkkfkqzx73e5im
Integration of Multi-Criteria Decision Support with Infrastructure of Smart Services for Sustainable Multi-Modal Transportation of Freights
2021
Sustainability
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We present the steps of extension of the structure of the knowledge-based system with a multi-criteria decision support method, and the possibilities to work under the conditions of wireless networks and ...
The objectives are forwarded to construct the multi-criteria decision-making components and integrate them into the multi-layered, computer-based information management of intelligent systems. ...
How such type of BDI agent architecture is applicable for the multi-modal transportation domain is represented in Figure 2 . ...
doi:10.3390/su13094675
doaj:26ece80683df47aea0ba0c248583b4fe
fatcat:p4oi2wfjuzfotceax4d5pob5i4
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. ...
The proposed system is implemented and simulated under a multiagent platform in order to discuss the improvement of the global road traffic quality in terms of time, fluidity and adaptivity. ...
level of certainty -No results for real networks -Minimize the perceived travel delays Balaji and Srinivasan (2011) Urban traffic management -Multi-agent system based on type-2 fuzzy decision module - ...
doi:10.1016/j.trc.2014.03.003
fatcat:sahnsazdlvevvoplvgofad4hvy
Multi-agent based vehicular congestion management
2011
2011 IEEE Intelligent Vehicles Symposium (IV)
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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. ...
The autonomous and distributed nature of multi-agent systems is well-suited to the transportation domain which is dynamic and geographically distributed. ...
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
Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis
2021
IEEE Access
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[121] highlight a local and supervisory agent concept in a hierarchical-based multi-agent system. ...
A local agent has the capability to perform the best control based on the decision made within limited knowledge exploration, while a supervisory agent has a long-term learning experience to provide the ...
doi:10.1109/access.2021.3069770
fatcat:2p52c7psrzhofgy4l2jy5fxw4u
Design of an Optimal ANFIS Traffic Signal Controller by Using Cuckoo Search for an Isolated Intersection
2015
2015 IEEE International Conference on Systems, Man, and Cybernetics
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fuzzy controller with a predefined rule base, then enhancing to type-1 ANFIS and type-2 ANFIS controller. ...
Applying type-2 fuzzy logic systems and the recently introduced cuckoo search optimization method led to the development of an efficient traffic signal timing controller, which is extended for a network ...
In their research they developed a multiagent distributed architecture signal control system based on type-2 FLS. All agents were homogeneous and had equal decision making capabilities. ...
doi:10.1109/smc.2015.363
dblp:conf/smc/AraghiKC15
fatcat:uwxsjl42hfh4ld4vc5z2czeeli
Edge-based V2X communications with Big Data Intelligence
2020
IEEE Access
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First, the Hierarchical edge-based preemptive route creation is introduced to create hierarchical edges and conduct efficient packet forwarding as well as route aggregation. ...
In this article, we propose a scheme that enhances V2V communications through integration of vehicle edge-based forwarding and learning-based edge selection policy optimization. ...
in that the simple mapping approach is insufficient for representing the complex decision making. ...
doi:10.1109/access.2020.2964707
fatcat:mohrdx36xretpfuh4kagxbha4m
Performance evaluation of cost-based vs. fuzzy-logic-based prediction approaches in PRIDE
2008
Unmanned Systems Technology X
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PRIDE (PRediction In Dynamic Environments) is a hierarchical multi-resolutional framework for moving object prediction. ...
The second is a fuzzy-logic-based approach that deals with the pervasive presence of uncertainty in the environment to negotiate complex traffic situations. ...
Vehicle C has to consider vehicles A and B and thus makes a decision based on the paths that these vehicles plan to take. ...
doi:10.1117/12.779601
fatcat:cibzi5zrtze3blnicdrdktbrxy
A hierarchical, multi-resolutional moving object prediction approach for autonomous on-road driving
2004
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
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In this paper 1 , we present a hierarchical multiresolutional approach for moving object prediction via estimation-theoretic and situation-based probabilistic techniques. ...
The results of the prediction are made available to a planner to allow it to make accurate plans in the presence of a dynamic environment. ...
CONCLUSIONS AND FUTURE WORK In this paper, we described a hierarchical, multi-resolutional approach for moving object prediction during autonomous on-road driving. ...
doi:10.1109/robot.2004.1308110
dblp:conf/icra/SchlenoffMB04
fatcat:uv4tq4esg5cchleqm6pn2r74y4
Prioritization of Exigency Services in Multi-Agent Transportation Systems
2023
VFAST Transactions on Software Engineering
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Multi-agent system helps in achieving a single global goal by working on different tasks in a distributed environment. ...
We operate the signal based on their priorities for exigency vehicles with different priorities. ...
Multi-agent System works on the principle of combining and coordinating the knowledge of every single agent to find the optimal solution for the problem [2] . ...
doi:10.21015/vtse.v11i1.1353
fatcat:qqagxwwgkvbzzcbhmlgzxm7wh4
IEEE Access Special Section Editorial: Big Data Technology and Applications in Intelligent Transportation
2020
IEEE Access
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systems where sensors and mobile devices can gather information and cloud computing, allowing knowledge discovery, information sharing, and supported decision making. ...
control a multi-agent system (MAS) with multiple under-driven automated guided vehicles (AGVs) based on flexible sampling periods and changing communication topology. ...
doi:10.1109/access.2020.3035440
fatcat:r3i3wkhttndbjnyciux3xuny3a
Scanning the Issue
2022
IEEE transactions on intelligent transportation systems (Print)
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The authors take into account the integration of blockchain and federated learning in vehicular networks as a direction for future research. ...
state-of-the-art communication technologies, standards, and protocols in vehicular networks (either inter-vehicle networking or in-vehicle networking) along with several practical applications, including traffic ...
PSO-Based Adaptive Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (PSO-AHIT2FKRS) for Travel Route Guidance M. Zouari, N. Baklouti, J. Sanchez-Medina, H. M. Kammoun, M. B. ...
doi:10.1109/tits.2022.3141513
fatcat:gvywr655cvgolg7rfjrqmt33b4
Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs
2012
2012 IEEE Congress on Evolutionary Computation
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This paper presents a cellular genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The evolution process is inspired by a basic genetic algorithm. ...
The population evolves on a bidimensional grid and is implicitly organized in geographical clusters that present a form of structural similarity between individuals. ...
Karnik-Mendel Algorithm Computation for the Centroid of an Interval Type-2 Fuzzy Set 149, Syibrah Naim and Hani Hagras, A Hybrid Approach for Multi-Criteria Group Decision Making Based on Interval Type ...
doi:10.1109/cec.2012.6256590
dblp:conf/cec/RotaruB12
fatcat:4ly3nrktw5habc6lf5err7d5py
Self-Organization in Traffic Lights: Evolution of Signal Control with Advances in Sensors and Communications
[article]
2017
arXiv
pre-print
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Our research results indicate that, while many sophisticated techniques have attempted to improve the scheduling of traffic signal control, either real-time sensing of traffic patterns or a priori knowledge ...
Given the trend towards interconnectivity, it is only a matter of time before vehicles communicate with one another and with infrastructure. ...
In their formulation the road network is hierarchically organized with multi-level decision analysis.Tatomir and Rothkrantz [164] propose a dynamic traffic routing algorithm based on Ant Colony Optimization ...
arXiv:1708.07188v1
fatcat:nojqrol46ndull6hoaoq7blu2m
Semantic agent-based controls for Service Oriented Architecture (SOA) enabled Intelligent Transportation Systems (ITS)
2011
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)
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(Balbo & Pinson, 2005) This is a multi-agent based Distributed Decision Support System for urban public transportation system management. ...
Agent-based modelling and simulation Agent-based modelling (ABM) and simulation uses multi-agent systems for the representation of social, economic, ecological and other similar systems in a software environment ...
Technologies Review
Multi-Agent communication using Agent Communication Language (ACL) ACL is based on KQML. ...
doi:10.1109/itsc.2011.6083112
dblp:conf/itsc/KamranH11
fatcat:5mulhguh3jcbhjlxucwderdfou
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