Comparison of methods for winter road friction estimation using systems implemented for floating car data

被引：0

作者：

Sollén S. ^{[1
]}

Casselgren J. ^{[1
]}

机构：

[1] Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå

来源：

International Journal of Vehicle Systems Modelling and Testing | 2023年 / 17卷 / 02期

关键词：

big data; experimental validation; FCD; floating car data; friction estimation; optical sensor; road friction; vehicle data; vehicle testing; winter road maintenance;

D O I：

10.1504/IJVSMT.2023.132935

中图分类号：

学科分类号：

摘要：

Winter road maintenance is important for preventing accidents and enabling mobility. If the road friction gets low, there is a higher risk of road accidents. Therefore, it is vital to have information about road friction levels. Traditionally this is done by dedicated vehicles; however, using friction information from floating car data (FCD) would be more beneficial, as the coverage both in time and space increases. In this investigation, road friction data from three FCD suppliers, using only one test vehicle each, has been compared with a continuous method of road friction measurement. The test has been conducted on proving grounds covered with ice and snow, and on public roads covered with water, ice, snow, and slush; thereby both high friction and low friction surfaces have been evaluated. The investigation shows that the FCD provides a continuous method of friction measurement and is closer to the reality of road friction experienced by road users. Copyright © 2023 Inderscience Enterprises Ltd.

引用

页码：101 / 111

页数：10

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