Supporting road maintenance with in-vehicle data: Results from a field trial on road surface condition monitoring

2016 ◽  
Author(s):  
Richard Brunauer ◽  
Karl Rehrl
Keyword(s):  
Condition Monitoring ◽  
Field Trial ◽  
Surface Condition ◽  
Road Surface ◽  
Road Maintenance ◽  
Vehicle Data

A geostatistical approach to winter road surface condition estimation using mobile RWIS data

2019 ◽  
Vol 46 (6) ◽  
pp. 511-521
Author(s):  
Lian Gu ◽  
Tae J. Kwon ◽  
Tony Z. Qiu
Keyword(s):  
Robust Regression ◽  
Surface Condition ◽  
Road Surface ◽  
Road Maintenance ◽  
Surface Conditions ◽  
Modelling Framework ◽  
Geostatistical Approach ◽  
Winter Road ◽  
Systematic Framework

In winter, it is critical for cold regions to have a full understanding of the spatial variation of road surface conditions such that hot spots (e.g., black ice) can be identified for an effective mobilization of winter road maintenance operations. Acknowledging the limitations in present study, this paper proposes a systematic framework to estimate road surface temperature (RST) via the geographic information system (GIS). The proposed method uses a robust regression kriging method to take account for various geographical factors that may affect the variation of RST. A case study of highway segments in Alberta, Canada is used to demonstrate the feasibility and applicability of the method proposed herein. The findings of this study suggest that the geostatistical modelling framework proposed in this paper can accurately estimate RST with help of various covariates included in the model and further promote the possibility of continuous monitoring and visualization of road surface conditions.

Distributed Road Surface Condition Monitoring Using Mobile Phones

2011 ◽  
pp. 64-78 ◽  
Author(s):  
Mikko Perttunen ◽  
Oleksiy Mazhelis ◽  
Fengyu Cong ◽  
Mikko Kauppila ◽  
Teemu Leppänen ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Mobile Phones ◽  
Surface Condition ◽  
Road Surface

RoadMonitor: An Intelligent Road Surface Condition Monitoring System

2015 ◽  
pp. 377-387 ◽  
Author(s):  
Adham Mohamed ◽  
Mohamed Mostafa M. Fouad ◽  
Esraa Elhariri ◽  
Nashwa El-Bendary ◽  
Hossam M. Zawbaa ◽  
...  
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Surface Condition ◽  
Road Surface ◽  
Condition Monitoring System

scholarly journals Road Surface Monitoring Using Smartphone Sensors: A Review

2021 ◽  
Author(s):  
Shahram Sattar ◽  
Songnian Li ◽  
Michael A. Chapman
Keyword(s):  
Anomaly Detection ◽  
Surface Condition ◽  
Low Frequency ◽  
Road Surface ◽  
Detection Accuracy ◽  
Road Maintenance ◽  
Key Factor ◽  
Smartphone Sensors ◽  
Road Surface Monitoring ◽  
Surface Monitoring

Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detection is a widely studied problem. Recently, smartphone-based sensing has become increasingly popular with the increased amount of available embedded smartphone sensors. Using smartphones to detect road surface anomalies could change the way government agencies monitor and plan for road maintenance. However, current smartphone sensors operate at a low frequency, and undersampled sensor signals cause low detection accuracy. In this study, current approaches for using smartphones for road surface anomaly detection are reviewed and compared. In addition, further opportunities for research using smartphones in road surface anomaly detection are highlighted.

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