Integration of smart pavement data with decision support systems: A systematic review

M Amândio, M Parente, J Neves, P Fonseca - Buildings, 2021 - mdpi.com
Nowadays, pavement management systems (PMS) are mainly based on monitoring
processes that have been established for a long time, and strongly depend on acquired …

RCNet: road classification convolutional neural networks for intelligent vehicle system

DK Dewangan, SP Sahu - Intelligent Service Robotics, 2021 - Springer
Vision-based techniques for intelligent vehicles in heterogeneous road environments are
gaining significant attention from researchers and industrialists. Unfortunately, the …

PotSpot: Participatory sensing based monitoring system for pothole detection using deep learning

S Patra, AI Middya, S Roy - Multimedia Tools and Applications, 2021 - Springer
Proper maintenance of roads is an extremely complex task and also an important issue all
over the world. One of the most critical road monitoring and maintenance activities is the …

Detection of road-surface anomalies using a smartphone camera and accelerometer

T Lee, C Chun, SK Ryu - Sensors, 2021 - mdpi.com
Road surfaces should be maintained in excellent condition to ensure the safety of motorists.
To this end, there exist various road-surface monitoring systems, each of which is known to …

How to get best predictions for road monitoring using machine learning techniques

I Ferjani, SA Alsaif - PeerJ Computer Science, 2022 - peerj.com
Road condition monitoring is essential for improving traffic safety and reducing accidents.
Machine learning methods have recently gained prominence in the practically important task …

Fuel consumption prediction for construction trucks: A noninvasive approach using dedicated sensors and machine learning

G Pereira, M Parente, J Moutinho, M Sampaio - Infrastructures, 2021 - mdpi.com
Decision support and optimization tools to be used in construction often require an accurate
estimation of the cost variables to maximize their benefit. Heavy machinery is traditionally …

Machine learning approach for automated detection of irregular walking surfaces for walkability assessment with wearable sensor

HR Ng, I Sossa, Y Nam, JH Youn - Sensors, 2022 - mdpi.com
The walkability of a neighborhood impacts public health and leads to economic and
environmental benefits. The condition of sidewalks is a significant indicator of a walkable …

Truthful double auction based incentive mechanism for participatory sensing systems

AI Middya, S Roy - Peer-to-Peer Networking and Applications, 2024 - Springer
The sensors available in the smartphones are useful to explore a diverse range of city
dynamics (eg noise pollution, road condition, traffic condition, etc.). The potential of the …

[HTML][HTML] Accuracy enhancement of anomaly localization with participatory sensing vehicles

R Bridgelall, D Tolliver - Sensors, 2020 - mdpi.com
Transportation agencies cannot afford to scale existing methods of roadway and railway
condition monitoring to more frequently detect, localize, and fix anomalies throughout …

[HTML][HTML] Bump Feature Detection Based on Spectrum Modeling of Discrete-Sampled, Non-Homogeneous Multi-Sensor Stream Data

H Lyu, Q Zhong, D Jiao, J Hua - Applied Sciences, 2024 - mdpi.com
Roads are the most heavily affected aspect of urban infrastructure given the ever-increasing
number of vehicles needed to provide mobility to residents, supply them with goods, and …