Large-scale implementation of floating car data monitoring road friction

被引:0
|
作者
Sollen, S. [1 ]
Casselgren, J. [1 ]
机构
[1] Lulea Univ Technol, Dept Engn Sci & Math, SE-97187 Lulea, Sweden
关键词
36;
D O I
10.1049/itr2.12039
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In Sweden today, friction measurements are performed manually, often using methods generating spot-wise measurements. Because the low numbers of measurements provided by these methods are insufficient to follow up on the friction requirements set by the Swedish Transport Administration, the Administration has initiated the Digital Winter project. In Digital Winter, floating car data (FCD) are utilised for road friction estimation. The focus in this investigation is on coverage, and on whether the FCD detects harsh weather conditions with decreasing road friction. Two different methods-one continuous and one slip-based-are implemented in this investigation. Furthermore, different approaches on how to build the vehicle fleet to collect the FCD have been applied using different combinations of commercial and private vehicles. The results showed that both methods detect low-friction events, and for roads with high annual average daily traffic (AADT), the data collection using slip-based methods and larger fleets gives more data points than for smaller fleets using continuous methods, and the reverse is true for lower AADT. The results showed differences between the two fleets in terms of coverage for the weekly and daily distributions, but overall, the method of using FCD for road friction estimation seems promising for the follow-up of winter road maintenance.
引用
收藏
页码:727 / 739
页数:13
相关论文
共 50 条
  • [31] IMPLEMENTATION OF A LARGE-SCALE WATER-QUALITY DATA MANAGEMENT SYSTEM
    HASEMAN, WD
    HOLSAPPLE, C
    WHINSTON, AB
    SOCIO-ECONOMIC PLANNING SCIENCES, 1976, 10 (01) : 31 - 36
  • [32] DIAGNOSTICS OF OBJECT STATE AND MONITORING OF RISKS DURING IMPLEMENTATION OF LARGE-SCALE PROJECTS
    Makhutov, N. A.
    10TH EUROPEAN CONFERENCE ON NON-DESTRUCTIVE TESTING 2010 (ECNDT), VOLS 1-5, 2010, : 3 - 3
  • [33] Large-scale Implementation of a COVID-19 Remote Patient Monitoring Program
    Wang, Lulu
    Arky, Marisa
    Ierardo, Alyssa
    Scanlin, Anna
    Templeton, Melissa
    Booker, Ethan
    WESTERN JOURNAL OF EMERGENCY MEDICINE, 2023, 24 (06) : 1085 - 1093
  • [34] Large-scale automated proactive road safety analysis using video data
    St-Aubin, Paul
    Saunier, Nicolas
    Miranda-Moreno, Luis
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2015, 58 : 363 - 379
  • [35] Transforming GIS Data into Functional Road Models for Large-Scale Traffic Simulation
    Wilkie, David
    Sewall, Jason
    Lin, Ming C.
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2012, 18 (06) : 890 - 901
  • [36] Use of small satellites and connected vehicles for large-scale traffic monitoring in road network
    Seo, Toru
    Kusakabe, Takahiko
    2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 2805 - 2810
  • [37] Road Condition Estimation Based on Heterogeneous Extended Floating Car Data
    Laubis, Kevin
    Simko, Viliam
    Schuller, Alexander
    Weinhardt, Christof
    PROCEEDINGS OF THE 50TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 2017, : 1582 - 1591
  • [38] A novel method for road network mining from floating car data
    Guo, Yuan
    Li, Bijun
    Lu, Zhi
    Zhou, Jian
    GEO-SPATIAL INFORMATION SCIENCE, 2022, 25 (02) : 197 - 211
  • [39] MOIR/MT: Monitoring Large-Scale Road Network Traffic in Real-Time
    Liu, Kuien
    Deng, Ke
    Ding, Zhiming
    Li, Mingshu
    Zhou, Xiaofang
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2009, 2 (02): : 1538 - 1541
  • [40] A NEW METHOD OF ROAD NETWORK UPDATING BASED ON FLOATING CAR DATA
    Zhao, Yue
    Liu, Jian
    Chen, Runqiang
    Li, Jun
    Xie, Chao
    Niu, Wenjiang
    Geng, Danyang
    Qin, Qiming
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 1878 - 1881