Dynamic entropy model of transport flows

Author:

Yekimov Sergey,Kluger Vit,Sobirov Bobur,Ahrorov Farhod

Abstract

In the process of planning transport systems, it is envisaged to determine the movement of vehicles between conditional areas of the city . In the process, a correspondence matrix is compiled. The dynamic entropy transport model makes it possible to determine the flows of movement between individual districts of the city, taking into account temporary changes in consumer preferences of individuals. The dynamic entropy transport model can be used to solve problems of transport planning in an urban environment and allows taking into account many independent as well as random factors taking into account changes in time. The traditional entropy transport model is based on the hypothesis that individuals in the equilibrium state of the system behave independently, however, in our opinion, this hypothesis somewhat simplifies the problem to a certain extent. And although it can be assumed that different individuals behave in the equilibrium state of the system to a certain extent, independently, at the same time individuals are influenced by external factors, and therefore the behavior of these individuals will depend on the influence of these external factors. The dynamic entropy transport model proposed in this paper makes it possible to take into account temporary changes in consumer preferences among buyers of transport services. The entropic dynamic transport model can be applied in forecasting the traffic of urban agglomerations.

Publisher

EDP Sciences

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3