A review of machine learning and IoT in smart transportation

F Zantalis, G Koulouras, S Karabetsos, D Kandris - Future Internet, 2019 - mdpi.com
With the rise of the Internet of Things (IoT), applications have become smarter and
connected devices give rise to their exploitation in all aspects of a modern city. As the …

A literature study on machine learning fusion with IOT

K Sharma, R Nandal - … on Trends in Electronics and Informatics …, 2019 - ieeexplore.ieee.org
In the present era of rapidly growing mature technologies and their inter-connection with
hardware devices and software applications plays a vital role for the emergence of different …

[HTML][HTML] YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery

M Ren, X Zhang, X Chen, B Zhou, Z Feng - International Journal of Applied …, 2023 - Elsevier
Road pavement damage affects driving comfort markedly, threatens driving safety, and may
even cause traffic accidents. The traffic management department conventionally captures …

Specific Soft Computing Strategies for the Digitalization of Infrastructure and its Sustainability: A Comprehensive Analysis

P Negi, R Singh, A Gehlot, S Kathuria… - … Methods in Engineering, 2023 - Springer
The need for advancement in monitoring is reorganized on increasing awareness about the
social and economic impact of infrastructures in the development of the nation. Infrastructure …

Crowdsourcing from the True crowd: Device, vehicle, road-surface and driving independent road profiling from smartphone sensors

MY Alam, A Nandi, A Kumar, S Saha, M Saha… - Pervasive and Mobile …, 2020 - Elsevier
Existing smartphone-based systems for detection of road surface events such as speed-
breakers, potholes, broken road patches, etc. have been developed primarily for the use in …

A survey on state-of-the-art road surface monitoring techniques for intelligent transportation systems

R Chhabra, CR Krishna… - International Journal of …, 2021 - inderscienceonline.com
Intelligent transportation systems (ITS) aims at maximizing convenience, safety, and
efficiency of transportation system with help of advanced technologies while reducing …

Data collection tools for post-disaster damage assessment of building and lifeline infrastructure systems

JM Lozano, I Tien - International journal of disaster risk reduction, 2023 - Elsevier
After a disaster event such as an earthquake or a hurricane, performing comprehensive and
detailed damage assessment of lifeline infrastructure is critical to effective disaster response …

Study of types of road abnormalities and techniques used for their detection

L Bhamare, N Mitra, G Varade… - 2021 7th international …, 2021 - ieeexplore.ieee.org
Road conditions unknowingly have a significant role in our life. Improper road conditions
may damage vehicle parts and cause road accidents if not addressed timely. Internet of …

Hyperbox-based machine learning algorithms: a comprehensive survey

TT Khuat, D Ruta, B Gabrys - Soft Computing, 2021 - Springer
With the rapid development of digital information, the data volume generated by humans
and machines is growing exponentially. Along with this trend, machine learning algorithms …

Lightweight trust model with machine learning scheme for secure privacy in VANET

MH Junejo, AAH Ab Rahman, RA Shaikh… - Procedia Computer …, 2021 - Elsevier
A vehicular ad hoc network (VANETs) is transforming public transport into a safer wireless
network, increasing its safety and efficiency. The VANET consists of several nodes which …