Content that references this location
Field Test of Automated Vehicles in Adverse Weather Found Radar and Camera Systems Were Still Susceptible to Rain and Ice, But Not as Consistently as the Vision-only System.
Rain and water on the pavement do not disrupt vehicles’ abilities to sense lane lines in most cases. In the vast majority of test runs, vehicles were able to detect the lane line and steer back into…
Content type
Date Posted
09/27/2022
Taxonomy (ARC-IT)
Autonomous Vehicle Safety Systems (VS01),
Weather Information Processing and Distribution (WX02)
Geolocation links
Three Scenarios in Traffic Jam Assist System Simulation Recommend Adjusting Lane Change Onset Threshold Values from 0.02 to 0.03g for Better Accuracy.
The study summarizes the following recommendations for further refinement for the NHTSA April 2018 TJA draft research test procedure:
Reduce the 0.6g deceleration to 0.5g to improve test execution,…
Content type
Date Posted
09/28/2021
Taxonomy (ARC-IT)
V2V Basic Safety (VS02)
Geolocation links
Most professional truck drivers interviewed in Ohio and California expressed favorable views of on-board connected vehicle safety applications installed on Class 8 commercial vehicles.
METHODOLOGY
In the summer of 2012 driver acceptance clinics were conducted in California and Ohio to introduce the system to 112 professional truck drivers who were previously unfamiliar with the…
Content type
Date Posted
11/04/2016
Taxonomy (ARC-IT)
In-Vehicle Signage (TI07),
Autonomous Vehicle Safety Systems (VS01),
V2V Basic Safety (VS02),
Stop Sign Gap Assist (VS06),
Oversize Vehicle Warning (VS11)
Geolocation links
INTELLIGENT TRANSPORTATION SYSTEMS JOINT PROGRAM OFFICE
1200 New Jersey Avenue, SE
Washington, DC 20590
