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) constitute a field as critical as little investigated according to its relevance and urgent idiosyncrasy within smart cities realm. In this paper, a newfangled approach by using the Natural Computing paradigm and Collective Computation is shown, more concretely taking advantage of an Ant Colony Optimization algorithm variation 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.
