Smart City Gnosys

Smart city article details

Title	Natural Computing Applied To The Underground System: A Synergistic Approach For Smart Cities
ID_Doc	38827
Authors	Lucas, CM; López, LFD; Blas, NG
Year	2018
Published	SENSORS, 18, 12
DOI	http://dx.doi.org/10.3390/s18124094
Abstract	The management and proper use of the Urban Public Transport Systems (UPTS) constitutes a critical field that has not been investigated in accordance to its relevance and urgent idiosyncrasy within the Smart Cities realm. Swarm Intelligence is a very promising paradigm to deal with such complex and dynamic systems. It presents robust, scalable, and self-organized behavior to deal with dynamic and fast changing systems. The intelligence of cities can be modelled as a swarm of digital telecommunication networks (the nerves), ubiquitously embedded intelligence, sensors and tags, and software. In this paper, a new approach based on the use of the Natural Computing paradigm and Collective Computation is shown, more concretely taking advantage of an Ant Colony Optimization algorithm variation and Fireworks algorithms to build a system that makes the complete control of the UPTS a tangible reality.
Author Keywords	urban public transport system; smart city; natural computing; collective computation

Similar Articles

Id	Similarity	Authors	Title	Published
54131	0.925	Zedadra O.; Guerrieri A.; Jouandeau N.; Spezzano G.; Seridi H.; Fortino G.	Swarm Intelligence And Iot-Based Smart Cities: A Review	Internet of Things (2019)
38847	0.871	Qureshi K.N.; Ahmad A.; Piccialli F.; Casolla G.; Jeon G.	Nature-Inspired Algorithm-Based Secure Data Dissemination Framework For Smart City Networks	Neural Computing and Applications, 33, 17 (2021)
40908	0.864	Deng J.	Optimizing The Mathematical Model Of Iot Data Processing In Smart Cities Using Artificial Intelligence Algorithms	2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2024 (2024)
50218	0.862	Liu Y.	Smart City Emergency Rescue Path Planning Using Data Science And Ant Colony Algorithm	Proceedings - 2024 International Conference on Electronics and Devices, Computational Science, ICEDCS 2024 (2024)
5124	0.861	Nezamoddini N.; Gholami A.	A Survey Of Adaptive Multi-Agent Networks And Their Applications In Smart Cities	Smart Cities, 5, 1 (2022)
49290	0.86	Kirwan C.; Zhiyong F.	Smart Cities And Artificial Intelligence: Convergent Systems For Planning, Design, And Operations	Smart Cities and Artificial Intelligence: Convergent Systems for Planning, Design, and Operations (2020)
54191	0.858	Attanasio B.; La Corte A.; Scata M.	Syncing A Smart City Within An Evolutionary Dynamical Cooperative Environment	2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2020 (2020)
25045	0.856	Chen Z.-G.; Zhan Z.-H.; Kwong S.; Zhang J.	Evolutionary Computation For Intelligent Transportation In Smart Cities: A Survey	IEEE Computational Intelligence Magazine, 17, 2 (2022)
5265	0.855	Chandra B.R.; Swamy K.C.T.; Tirupal T.; Chandra I.S.	A Survey On Implementation Of Swarm Evolutionary Algorithms To Vehicular Communication	7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 - Proceedings (2023)
6490	0.855	Francis Siu M.-F.; Patrick Fong S.-W.; Fan H.; Seo J.; Kamat V.	Advanced Computing Methods And Related Technologies For Constructing Smart Cities	Advanced Engineering Informatics, 51 (2022)