Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles

Author:

Burinskienė Marija1ORCID,Kapski Denis2ORCID,Kasyanik Valery3ORCID,Pashkevich Anton4ORCID,Volynets Aleksandra5ORCID,Kaptsevich Oleg6

Affiliation:

1. Vilnius Gediminas Technical University

2. Belarusian National Technical University

3. Brest State Technical University

4. Tallinn University of Technology

5. State Enterprise “Belarusian Road Scientific Research Institute”

6. Managing Company “Geographic Information Management System”

Abstract

The article describes the method for estimating transport flow parameters using the two-fluid Herman-Prigogine mathematical model developed considering the proposed method of estimating parameters for the system based on the passive processing of navigation data on the movement of vehicles. The efficiency of the suggested algorithms and mathematical models for estimating road traffic flow parameters and the system as a whole was confirmed performing tests using a set of tracks on the main highways of Belarus.

Publisher

Riga Technical University

Subject

Building and Construction,Civil and Structural Engineering

Reference15 articles.

1. Blinkin, M. Ya., & Tkachenko, B. A. (2009). Sistemnaya otsenka usloviy dvizheniya na baze modeli Khermana-Prigozhina. Sotsial'no-ekonomicheskie problemy razvitiya transportnykh sistem gorodov i zon ikh vliyaniya. In Materialy XV Mezhdunarodnoy nauch.-prakt. konf. ( pp. 1 35–143). Yekaterinburg, 16–17 Jun. 2009. Yekaterinburg: Izd-vo ABM. (in Russian).

2. Daganzo, C. F. (1997). Fundamentals of transportation and traffic operations (Vol. 30). Oxford: Pergamon.

3. Dryu, D. (1972). Teoriya transportnykh potokov i upravlenie imi. Moscow: Transport. 424 p. (in Russian).

4. Gartner, N. H., Messer, C. J., & Rathi, A. (2002). Traffic flow theory – a state-of-the-art report: revised monograph on traffic flow theory.

5. Herman, R., & Prigogine, I. (1979). A two-fluid approach to town traffic. Science, 204(4389), 148–151. https://doi.org/10.1126/science.204.4389.148

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