ALGORITHMS FOR TRAFFIC MANAGEMENT IN THE INTELLIGENT TRANSPORT SYSTEMS

Traffic jams interfere with the drivers and cost billions of dollars per year and lead to a substantial increase in fuel consumption. In order to avoid such problems the paper describes the algorithms for traffic management in intelligent transportation system, which collects traffic information in...

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Bibliographic Details
Published inInternational journal of advanced studies Vol. 7; no. 1; pp. 52 - 64
Main Authors Nikolaev, Andrey Borisovich, Aung, Myo Thiwn, Myo, Lin Aung, Myo, Min Khaing, Aung, Nyi Nyi Zaw
Format Journal Article
LanguageEnglish
Published Science and Innovation Center Publishing House 21.09.2017
Subjects
algorithm
automated control system
control
detection and control of congested roads
intelligent transport systems
simulation
traffic jams
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Summary:Traffic jams interfere with the drivers and cost billions of dollars per year and lead to a substantial increase in fuel consumption. In order to avoid such problems the paper describes the algorithms for traffic management in intelligent transportation system, which collects traffic information in real time and is able to detect and manage congestion on the basis of this information. The results show that the proposed algorithms reduce the average travel time, emissions and fuel consumption. In particular, travel time has decreased by about 23%, the average fuel consumption of 9%, and the average emission of 10%.
ISSN:2328-1391
2227-930X
DOI:10.12731/2227-930X-2017-1-52-64