Distributed Road Surface Condition Monitoring Using Mobile Phones

Abstract

Abstract. The objective of this research is to improve traffic safety through collecting and distributing up-to-date road surface condition information using mobile phones. Road surface condition information is seen useful for both travellers and for the road network maintenance. The problem we consider is to detect road surface anomalies that, when left unreported, can cause wear of vehicles, lesser driving comfort and vehicle controllability, or an accident. In this work we developed a pattern recognition system for detecting road condition from accelerometer and GPS readings. We present experimental results from real urban driving data that demonstrate the usefulness of the system. Our contributions are: 1) Performing a throughout spectral analysis of tri-axis acceleration signals in order to get reliable road surface anomaly labels. 2) Comprehensive preprocessing of GPS and acceleration signals. 3) Proposing a speed dependence removal approach for feature extraction and demonstrating its positive effect in multiple feature sets for the road surface anomaly detection task. 4) A framework for visually analyzing the classifier predictions over the validation data and labels.

Road Condition Estimation Based on Heterogeneous Extended Floating Car Data

“…Several studies addressed the potential of sensing the road's condition with smart devices or single accelerometer sensors attached to vehicles by applying machine learning approaches [7,8,9,10,11,12].…”

The Geometry and Usage of the Supplementary Fisheye Lenses in Smartphones

“…Analysing from the research activities, it is certain that this area will gain more importance in recent future. The objective of the research is to improve traffic safety through collecting and distributing up-to-date road surface condition information using mobile phones [5]. Perttunen et al [5] present experimental results from real urban driving data that demonstrate the usefulness of the system.…”

“…The objective of the research is to improve traffic safety through collecting and distributing up-to-date road surface condition information using mobile phones [5]. Perttunen et al [5] present experimental results from real urban driving data that demonstrate the usefulness of the system. To monitor road and traffic conditions in such a setting, Mohan et al [6] present Nericell, a system that performs rich sensing by piggybacking on smartphones that users carry with them in normal course.…”

Rolling vibes : continuous transport infrastructure monitoring

“…Perttunen et al [36] use a Nokia N95 mounted on the wind-shield of a car. The accelerometer data was sampling at 38Hz and the GPS of the phone was used to collect the location data.…”

“…In addition to the solutions based on vehicle sensors, several research groups have contributed to the topic of road anomaly detection using inertial sensors using external smart devices [34][35][36][37][38] [41]. All these studies, however, were conducted making the assumption that, the driver will pass through all the anomalies.…”