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ThinkMind // SMART 2015, The Fourth International Conference on Smart Systems, Devices and Technologies // View article smart_2015_2_30_40061


Towards Smart Traffic Lights Using Big Data to Improve Urban Traffic

Authors:
Janduí Jorge
Leonardo Lima
Bárbara França
Victor Souto

Keywords: traffic lights; big dat; social network; urban mobility; smart cities; social mobility; urban traffic

Abstract:
The rise of urban population brings the need of effective ways to move around the city and strategies to improve the traffic flow. This study, aims to take a look at the present context of the traffic lights, one of the solutions to traffic control most used in our time. This will also take a look at some solutions already implemented by the cities of Los Angeles and Recife using sensors and cameras at intersections, in order to optimize traffic control in real time. And then, it proposes a system of intelligent traffic lights based on big data from navigation and traffic applications, which adapt the traffic lights depending on traffic flow, contributing to the improvement of systemically traffic control instruments, generating immediate gains in quality of life in cities.

Pages: 31 to 33

Copyright: Copyright (c) IARIA, 2015

Publication date: June 21, 2015

Published in: conference

ISSN: 2308-3727

ISBN: 978-1-61208-414-5

Location: Brussels, Belgium

Dates: from June 21, 2015 to June 26, 2015

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