Preprint Concept Paper Version 1 This version is not peer-reviewed

Natural Computing Applied to the Underground System: A Synergistic Approach for Smart Cities

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)

A peer-reviewed article of this Preprint also exists.

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. Sensors 2018, 18, 4094.

Journal reference: Sensors 2018, 18, 4094
DOI: 10.3390/s18124094

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.

Subject Areas

urban public transport system; smart city; natural computing; collective computation; ant colony optimization

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