Effects of Sensor and Environmental Factors on Smartphone-Based Bicycle Road Monitoring

Collecting data on road conditions can allow effective resource allocation for road maintenance. This paper presents a prototype for a smartphone-based system for collecting vibration data during cycling. The system was tested on various sections of road with different conditions, with two types of bicycles, sensor sampling frequencies and smartphone orientations. The selected parameters can have a significant effect on the data collected. With suitable parameters, the collected data can be used to evaluate current road quality and improve the allocation of road maintenance resources. The system was successful in identifying individual irregularities in the road surface, the presence of road grit and general road quality, providing valuable information on road condition.

Authors

Institutions

Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/compsystech65493.2025.11137163
Primary Topic
Internet of Things and Social Network Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Sensor and Environmental Factors on Smartphone-Based Bicycle Road Monitoring

Jouni Ikonen, Saku Tarkiainen
Internet of Things and Social Network Interactions
article

Effects of Sensor and Environmental Factors on Smartphone-Based Bicycle Road Monitoring

Jouni Ikonen, Saku Tarkiainen
article en

Abstract

Collecting data on road conditions can allow effective resource allocation for road maintenance. This paper presents a prototype for a smartphone-based system for collecting vibration data during cycling. The system was tested on various sections of road with different conditions, with two types of bicycles, sensor sampling frequencies and smartphone orientations. The selected parameters can have a significant effect on the data collected. With suitable parameters, the collected data can be used to evaluate current road quality and improve the allocation of road maintenance resources. The system was successful in identifying individual irregularities in the road surface, the presence of road grit and general road quality, providing valuable information on road condition.

Lappeenranta-Lahti University of Technology (FI)
Openalex Percentile: Top 74%
Internet of Things and Social Network Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.