首页    期刊浏览 2025年07月14日 星期一
登录注册

文章基本信息

  • 标题:ALGORITHMS FOR TRAFFIC MANAGEMENT IN THE INTELLIGENT TRANSPORT SYSTEMS
  • 本地全文:下载
  • 作者:Nikolaev Andrey Borisovich ; Aung Myo Thiwn ; Myo Lin Aung
  • 期刊名称:International Journal of Advanced Studies
  • 印刷版ISSN:2328-1391
  • 电子版ISSN:2227-930X
  • 出版年度:2017
  • 卷号:7
  • 期号:1
  • 页码:52-64
  • DOI:10.12731/2227-930X-2017-1-52-64
  • 语种:English
  • 出版社:Science and Innovation Center Publishing House
  • 摘要: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%.
  • 关键词:traffic jams;intelligent transport systems;detection and control of congested roads;automated control system;control;simulation;algorithm
国家哲学社会科学文献中心版权所有