| Title |
Government and governance in intelligent cities, smart transportation study case in Bogota Colombia |
| ID_Doc |
43605 |
| Authors |
Gonzalez, RA; Ferro, RE; Liberona, D |
| Title |
Government and governance in intelligent cities, smart transportation study case in Bogota Colombia |
| Year |
2020 |
| Published |
Ain Shams Engineering Journal, 11, 1 |
| DOI |
10.1016/j.asej.2019.05.002 |
| Abstract |
This article presents an analysis of some smart cities worldwide, similarly shows in detail the concepts of artificial intelligence, governance and governance with the continuous support of the population, through various methodologies that try to meet the needs of the community in various fields such as the economic, mobility and the environment where they live. The city of Bogota located in Colombia will be exposed as a specific case, where the respective technological achievements obtained in recent years will be shown to approach what should be an intelligent city, the faults that it has at the transportation level that is a great challenge for generated traffic jams and their possible solution through supervised neural networks, generating a simulation in the Road traffic simulator application for the data, likewise taking advantage of the approach that is being generated to make a transition in the traffic light of the city from incandescent bulbs to LED luminaire, which generates a lower consumption of electricity and a wide range of possibilities with respect to the internal control that can be given, to optimize traffic in the city and thus provide a solution to people who want a shorter time for your daily trips, the main motivation for the creation of this document is the proposal of a method with artificial intelligence that helps to improve the traffic flow of the city, since Bogota is one of the cities with the most traffic in the world, as a result a rigorous evaluation of different neuronal architectures will be shown to alleviate the congestion of some streets of the city. (C) 2019 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Author Keywords |
Governement; Governance; Artificial intelligence; Smart city; Transportation; Traffic |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000519625000003 |
| WoS Category |
Engineering, Multidisciplinary |
| Research Area |
Engineering |
| PDF |
https://doi.org/10.1016/j.asej.2019.05.002
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