Results 1 to 10 of about 25,050,926 (180)

Traffic Noise Assessment Using Intelligent Acoustic Sensors (Traffic Ear) and Vehicle Telematics Data [PDF]

Sensors, 2023
Here, we introduce Traffic Ear, an acoustic sensor pack that determines the engine noise of each passing vehicle without interrupting traffic flow. The device consists of an array of microphones combined with a computer vision camera. The class and speed
Omid Ghaffarpasand, Anwar Almojarkesh, Sophie Morris, Elizabeth Stephens, Alaa Chalabi, Usamah Almojarkesh, Zenah Almojarkesh, Francis D. Pope   +7 more
doaj   +3 more sources

Measuring racial and ethnic disparities in traffic enforcement with large-scale telematics data. [PDF]

PNAS Nexus, 2022
Past studies have found that racial and ethnic minorities are more likely than White drivers to be pulled over by the police for alleged traffic infractions, including a combination of speeding and equipment violations.
Cai W, Gaebler J, Kaashoek J, Pinals L, Madden S, Goel S.   +5 more
europepmc   +2 more sources

Pricing weekly motor insurance drivers' with behavioral and contextual telematics data. [PDF]

Heliyon
Telematics boxes integrated into vehicles are instrumental in capturing driving data encompassing behavioral and contextual information, including speed, distance travelled by road type, and time of day.
Guillen M, Pérez-Marín AM, Nielsen JP.
europepmc   +2 more sources

Analysis of Telematics Data of Combine Harvesters and Evaluation of Potential to Reduce Environmental Pollution

Atmosphere, 2021
The combine harvester (CH) is one of the most important machines with the most powerful engine used in the agricultural sector. It consumes significant amounts of diesel fuel and harms ambient air by releasing emissions.
Dainius Savickas, Dainius Steponavičius, Rolandas Domeika   +2 more
doaj   +2 more sources

Synthetic Dataset Generation of Driver Telematics

Risks, 2021
This article describes the techniques employed in the production of a synthetic dataset of driver telematics emulated from a similar real insurance dataset.
Emiliano A Valdez, Jean-Philippe Boucher, Banghee So   +2 more
exaly   +3 more sources

Determining Driving Risk Factors from Near-Miss Events in Telematics Data Using Histogram-Based Gradient Boosting Regressors

Journal of Theoretical and Applied Electronic Commerce Research
This study introduces a novel method for driving risk assessment based on the analysis of near-miss events captured in telematics data. Near-miss events, which are highly correlated with accidents, are employed as proxies for accident prediction.
Shuai Sun, Montserrat Guillen, Ana M. Pérez-Marín, Linglin Ni   +3 more
doaj   +2 more sources

Predicting Motor Insurance Claims Using Telematics Data—XGBoost versus Logistic Regression

Risks, 2019
XGBoost is recognized as an algorithm with exceptional predictive capacity. Models for a binary response indicating the existence of accident claims versus no claims can be used to identify the determinants of traffic accidents.
Jessica Pesantez-Narvaez, Montserrat Guillen, Manuela Alcañiz   +2 more
doaj   +2 more sources

Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios

Sensors, 2022
Indoor localization and human activity recognition are two important sources of information to provide context-based assistance. This information is relevant in ambient assisted living (AAL) scenarios, where older adults usually need supervision and ...
Jesus D. Ceron, Diego M. López, Felix Kluge, Bjoern M. Eskofier   +3 more
doaj   +1 more source

Exploring the Potential of AI-Generated Synthetic Datasets: A Case Study on Telematics Data with ChatGPT [PDF]

arXiv.org, 2023
This research delves into the construction and utilization of synthetic datasets, specifically within the telematics sphere, leveraging OpenAI's powerful language model, ChatGPT.
R. Lingo
semanticscholar   +1 more source

Telematic Support in Improving Safety of Maritime Transport [PDF]

TransNav, 2018
Security mechanisms of a telematics system are exceedingly intersecting as they could pretend the ordinary influence of the vehicle and perhaps terminate in accidents.
Tomasz Neumann
doaj   +1 more source