FIRE-NRD: A Fully-Distributed and Vanets-Based Traffic Management System for Next Road Decision
Traffic congestion in large cities became more intense considering the last years. Basically, this growth is attributed to the wide use of a single mode of transport due to the lack of alternatives capable of efficiently supplying urban traffic demand. In this sense, in economic terms, it is estimat...
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Published in | 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS) pp. 554 - 561 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2019
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Subjects | |
Online Access | Get full text |
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Summary: | Traffic congestion in large cities became more intense considering the last years. Basically, this growth is attributed to the wide use of a single mode of transport due to the lack of alternatives capable of efficiently supplying urban traffic demand. In this sense, in economic terms, it is estimated that billions of dollars are wasted every year due to the extra expenses with fuels and maintenance caused by traffic. In order to minimize the economic and environmental damages caused by congestion, this work presents FIRE-NRD: A fully-distributed Traffic Management System for Next Road Decision. In the proposed solution, vehicles, while moving, are able to analyze and share a study of the traffic flow and thus provide sufficient knowledge in order to resolve "the next road decision", i.e., the next road choice to decrease its travel time. FIRE-NRD is based only on local data about traffic information and totally collaborative, where neighbor vehicles share their knowledge. FIRE-NRD is compared to literature solutions and present better results considering network and traffic metrics, such as number of messages and average travel time. |
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ISSN: | 2325-2944 |
DOI: | 10.1109/DCOSS.2019.00104 |