Methods and Tools for Monitoring Driver's Behavior

01/28/2023
by   Muhammad Tanveer Jan, et al.
0

In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars. In-vehicle sensing data are invaluable and important data sources for traffic management systems. In this paper we propose an innovative architecture of unobtrusive in-vehicle sensors and present methods and tools that are used to measure the behavior of drivers. The proposed architecture including methods and tools are used in our NIH project to monitor and identify older drivers with early dementia

READ FULL TEXT

page 2

page 3

research
07/20/2021

Self-Driving Cars and Driver Alertness

Recent years have seen growing interest in the development of self-drivi...
research
01/10/2019

Gender Differences in Injury Severity Risk of Single-Vehicle Crashes in Virginia: A Nested Logit Analysis of Heterogeneity

This paper explores gender differences in injury severity risk using a c...
research
02/18/2021

B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks

Urban areas are negatively impacted by Carbon Dioxide (CO2 ) and Nitroge...
research
12/23/2020

A Survey of Recent Developments in Collision Avoidance, Collision Warning and Inter-Vehicle Communication Systems

This paper presents the state-of-the-art on Collision Avoidance and Coll...
research
10/18/2017

Transforming Speed Sequences into Road Rays on the Map with Elastic Pathing

Advances in technology have provided ways to monitor and measure driving...
research
09/14/2020

Advanced Virus Monitoring and Analysis System

This research proposed an architecture and a system which able to monito...
research
02/10/2021

Driver2vec: Driver Identification from Automotive Data

With increasing focus on privacy protection, alternative methods to iden...

Please sign up or login with your details

Forgot password? Click here to reset