An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring

AH Alavi, WG Buttlar - Future Generation Computer Systems, 2019 - Elsevier
Modern smartphones are equipped with various sensors along with on-board storage,
computing and communication capabilities. Owing to these features, they can become an …

Insurance telematics: Opportunities and challenges with the smartphone solution

P Handel, I Skog, J Wahlstrom… - IEEE Intelligent …, 2014 - ieeexplore.ieee.org
Smartphone-based insurance telematics or usage based insurance is a disruptive
technology which relies on insurance premiums that reflect the risk profile of the driver; …

[HTML][HTML] Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques

M Saleem, S Abbas, TM Ghazal, MA Khan… - Egyptian Informatics …, 2022 - Elsevier
Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

Internet of vehicles in big data era

W Xu, H Zhou, N Cheng, F Lyu, W Shi… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …

Driver behavior profiling: An investigation with different smartphone sensors and machine learning

J Ferreira, E Carvalho, BV Ferreira, C de Souza… - PLoS one, 2017 - journals.plos.org
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver
behavior profiling tries to understand and positively impact driver behavior. Usually driver …

Smartphone-based vehicle telematics: A ten-year anniversary

J Wahlström, I Skog, P Händel - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Just as it has irrevocably reshaped social life, the fast growth of smartphone ownership is
now beginning to revolutionize the driving experience and change how we think about …

[HTML][HTML] Extracting road traffic volume in the city before and during COVID-19 through video remote sensing

E Macioszek, A Kurek - Remote Sensing, 2021 - mdpi.com
Continuous, automatic measurements of road traffic volume allow the obtaining of
information on daily, weekly or seasonal fluctuations in road traffic volume. They are the …

IoT-based emergency vehicle services in intelligent transportation system

A Chowdhury, S Kaisar, ME Khoda, R Naha… - Sensors, 2023 - mdpi.com
Emergency Management System (EMS) is an important component of Intelligent
transportation systems, and its primary objective is to send Emergency Vehicles (EVs) to the …

[HTML][HTML] Evaluating the accuracy of vehicle tracking data obtained from Unmanned Aerial Vehicles

G Guido, V Gallelli, D Rogano, A Vitale - International journal of …, 2016 - Elsevier
This paper presents a methodology for tracking moving vehicles that integrates Unmanned
Aerial Vehicles with video processing techniques. The authors investigated the usefulness …

The use of context-sensitive insurance telematics data in auto insurance rate making

YL Ma, X Zhu, X Hu, YC Chiu - Transportation Research Part A: Policy and …, 2018 - Elsevier
Historically, auto insurers use various socio-demographic underwriting factors to
differentiate driver risks. With the invention of GPS devices, information such as mileage …