基于车辆导航数据的交通流参数估计

IF 0.6 4区工程技术 Q4 ENGINEERING, CIVIL

Baltic Journal of Road and Bridge Engineering Pub Date : 2020-09-28 DOI:10.7250/BJRBE.2020-15.492

M. Burinskienė, D. Kapski, V. Kasyanik, A. Pashkevich, A. Volynets, O. Kaptsevich

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引用次数: 0

摘要

本文介绍了基于被动处理车辆运动导航数据的系统参数估计方法，提出了利用双流体Herman-Prigogine数学模型估计运输流量参数的方法。所建议的估计道路交通流量参数的算法和数学模型以及整个系统的效率，在白俄罗斯主要公路上的一组轨道上进行了测试，得到了证实。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles

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.

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来源期刊

Baltic Journal of Road and Bridge Engineering 工程技术-工程：土木

CiteScore

2.10

自引率

9.10%

发文量

审稿时长

>12 weeks

期刊介绍： THE JOURNAL IS DESIGNED FOR PUBLISHING PAPERS CONCERNING THE FOLLOWING AREAS OF RESEARCH: road and bridge research and design, road construction materials and technologies, bridge construction materials and technologies, road and bridge repair, road and bridge maintenance, traffic safety, road and bridge information technologies, environmental issues, road climatology, low-volume roads, normative documentation, quality management and assurance, road infrastructure and its assessment, asset management, road and bridge construction financing, specialist pre-service and in-service training;