All: Lane Change Assist

Displaying 25 result(s).

Three Scenarios in Traffic Jam Assist System Simulation Recommend Adjusting Lane Change Onset Threshold Values from 0.02 to 0.03g for Better Accuracy.
Date Posted: 09/28/2021 | Source Date:
Simulation Models Suggest that Cooperative Lane Change Maneuvers Among Connected Autonomous Vehicles Can Decrease Vehicle Stops by 89 Percent, Improve Travel Time by 22 Percent, and Reduce Fuel Consumption by Seven Percent.
Date Posted: 06/21/2021 | Source Date:
An NHTSA modeling study indicated that lane change/merge crash avoidance systems would be 37 percent effective and road-departure countermeasure systems would be 24 percent effective.
Source Date:
Simulated Highway Lane Change Warning System (HLCWS) showed a potential of significantly reducing collisions caused by lane changes.
Source Date:
A NHTSA modeling study indicated that forward collision warning systems, lane change/merge crash avoidance systems, and road-departure countermeasure systems would yield and annual economic benefit of $25.6 billion (1994).
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Study suggests that drivers using advanced driving assistance systems (ADAS) may need more training on these systems.
Date Posted: 06/12/2020 | Source Date:
Refine proper antenna placement on connected vehicles (particularly commercial vehicles) to reduce DSRC ‘shadow’ areas where DSRC signal is degraded.
Date Posted: 06/07/2019 | Source Date:
During system testing, CV Pilot sites discover the importance of having expertise in detecting and mitigating interferences with radio frequency and GPS signals
Date Posted: 03/21/2019 | Source Date:
Connected vehicle deployers are encouraged to utilize multi-vendor outsourcing and to source suppliers early to create a collaborative environment that enables as much parallel work as possible.
Date Posted: 03/21/2019 | Source Date:
Refine institutional arrangements when deploying connected vehicle technology to outline the expectations of partners in terms of service, outcomes and reporting.
Date Posted: 03/21/2019 | Source Date:
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