Version 1
: Received: 18 October 2018 / Approved: 18 October 2018 / Online: 18 October 2018 (11:04:28 CEST)
Version 2
: Received: 5 November 2018 / Approved: 6 November 2018 / Online: 6 November 2018 (09:19:35 CET)
Version 3
: Received: 15 November 2018 / Approved: 16 November 2018 / Online: 16 November 2018 (11:34:47 CET)
Morales Lucas, C.; de Mingo López, L.F.; Gómez Blas, N. Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities. Sensors2018, 18, 4094.
Morales Lucas, C.; de Mingo López, L.F.; Gómez Blas, N. Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities. Sensors 2018, 18, 4094.
Morales Lucas, C.; de Mingo López, L.F.; Gómez Blas, N. Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities. Sensors2018, 18, 4094.
Morales Lucas, C.; de Mingo López, L.F.; Gómez Blas, N. Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities. Sensors 2018, 18, 4094.
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 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 behaviour 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 in order to build a system that makes the complete control of the UPTS a tangible reality.
Keywords
urban public transport system; smart city; natural computing; collective computation; ant colony optimization
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
