| Title |
Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study |
| ID_Doc |
41526 |
| Authors |
Stolfi, D; Armas, R; Alba, E; Aguirre, H; Tanaka, K |
| Title |
Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study |
| Year |
2016 |
| Published |
|
| DOI |
10.1145/2908812.2908868 |
| Abstract |
In this article we work towards the desired future smart city in which IT and knowledge will hopefully provide a highly livable environment for citizens. To this end, we test a new concept based on intelligent LED panels (the Yellow Swarm) to guide drivers when moving through urban streets so as to finally get rid of traffic jams and protect the environment. This is a minimally invasive, low cost idea for the city that needs advanced simulations with real data coupled with new algorithms which perform well. Our proposal is to use evolutionary computation in the Yellow Swarm, which will finally help alleviate the traffic congestion, improve travel times, and decrease gas emissions, all at the same time and for a real case like the city of Quito (Ecuador). |
| Author Keywords |
Application; evolutionary algorithm; road traffic; smart city; real world; smart mobility; LED Panels |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000382659200128 |
| WoS Category |
Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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