algorithms for traffic management in the intelligent transport systems

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2017
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Abstract
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%.
Referenzschlüssel
nikolaev2017internationalalgorithms Verwenden Sie diesen Schlüssel zum automatischen Zitieren im Manuskript bei Verwendung von SciMatic Manuscript Manager oder Thesis Manager
Autoren ;Andrey Borisovich Nikolaev;Myo Thiwn Aung;Lin Aung Myo;Min Khaing Myo;Nyi Nyi Zaw Aung
Zeitschrift international journal of telemedicine and applications
Jahr 2017
DOI
10.12731/2227-930X-2017-1-52-64
URL
http://journal-s.org/index.php/ijas/article/view/10116
Schlüsselwörter
Simulation intelligent transport systems control

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