Forward Collision Warning Systems: Validating Driving Simulator Results with Field Data

12/17/2021
by   Snehanshu Banerjee, et al.
0

With the advent of Advanced Driver Assistance Systems (ADAS), there is an increasing need to evaluate driver behavior while using such technology. In this unique study, a forward collision warning (FCW) system using connected vehicle technology, was introduced in a driving simulator environment, to evaluate driver braking behavior and then the results are validated using data from field tests. A total of 93 participants were recruited for this study, for which a virtual network of South Baltimore was created. A one sample t-test was conducted, and it was found that the mean reduction in speed of 15.07 mph post FCW, is statistically significant. A random forest, machine learning algorithm was found to be the best fit for ranking the most important variables in the dataset by order of importance. Field data obtained from the University of Michigan Transportation Research Institute (UMTRI), substantiated the FCW findings from this driving simulator study.

READ FULL TEXT
12/14/2021

Influence of Pedestrian Collision Warning Systems on Driver Behavior: A Driving Simulator Study

With the advent of connected and automated vehicle (CAV) technology, the...
03/10/2019

Comprehensive Analysis of Dynamic Message Sign Impact on Driver Behavior: A Random Forest Approach

This study investigates the potential effects of different Dynamic Messa...
04/27/2022

Dataset for Robust and Accurate Leading Vehicle Velocity Recognition

Recognition of the surrounding environment using a camera is an importan...
12/22/2021

Driver Behavior Post Cannabis Consumption: A Driving Simulator Study in Collaboration with Montgomery County Maryland

Montgomery County Police Department in Maryland hosted a cannabis intoxi...
06/05/2021

Design of hazard based model and collision avoidance system

The primary goal of this paper is to examine the motorcyclists' activiti...
12/16/2020

Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems

Kalman Filter (KF) is widely used in various domains to perform sequenti...
02/01/2015

Driver distraction detection and recognition using RGB-D sensor

Driver inattention assessment has become a very active field in intellig...