A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities

A Capponi, C Fiandrino, B Kantarci… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

[HTML][HTML] Review on smartphone sensing technology for structural health monitoring

H Sarmadi, A Entezami, KV Yuen, B Behkamal - Measurement, 2023 - Elsevier
Sensing is a critical and inevitable sector of structural health monitoring (SHM). Recently,
smartphone sensing technology has become an emerging, affordable, and effective system …

Deep learning-based road damage detection and classification for multiple countries

D Arya, H Maeda, SK Ghosh, D Toshniwal… - Automation in …, 2021 - Elsevier
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …

An automated machine-learning approach for road pothole detection using smartphone sensor data

C Wu, Z Wang, S Hu, J Lepine, X Na, D Ainalis… - Sensors, 2020 - mdpi.com
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …

[HTML][HTML] Machine learning algorithms for monitoring pavement performance

S Cano-Ortiz, P Pascual-Muñoz… - Automation in …, 2022 - Elsevier
This work introduces the need to develop competitive, low-cost and applicable technologies
to real roads to detect the asphalt condition by means of Machine Learning (ML) algorithms …

Challenges in benchmarking stream learning algorithms with real-world data

VMA Souza, DM dos Reis, AG Maletzke… - Data Mining and …, 2020 - Springer
Streaming data are increasingly present in real-world applications such as sensor
measurements, satellite data feed, stock market, and financial data. The main characteristics …

Pavement roughness index estimation and anomaly detection using smartphones

Q Yu, Y Fang, R Wix - Automation in construction, 2022 - Elsevier
The prevalence of smartphones among vehicle drivers presents exciting opportunities in
assessing pavement roughness in a more efficient and cost-effective manner, compared …

[HTML][HTML] Road pavement condition diagnostics using smartphone-based data crowdsourcing in smart cities

M Staniek - Journal of traffic and transportation engineering …, 2021 - Elsevier
The purpose of the paper is to analyse the effectiveness of a solution known as road
condition tool (RCT) based on data crowdsourcing from smartphones users in the transport …

Data sensing and compaction condition modeling for asphalt pavements

S Yu, S Shen, M Lu - Automation in Construction, 2023 - Elsevier
Asphalt pavement compaction is a process of rearranging asphalt particles to reduce voids
and increase density. Current empirical methods can sometimes cause compaction …

Smartphone-based road manhole cover detection and classification

B Zhou, W Zhao, W Guo, L Li, D Zhang, Q Mao… - Automation in …, 2022 - Elsevier
Road surface condition detection is an important application for many intelligent
transportation systems (ITSs). A manhole cover depression is one of the common factors …