Displaying 1 - 10 of 338

Content type

Lab-Test Results Showed that Vision-Based Red Light Violation Warning Application Combined with Assured Green Period Could Reduce Red-Light Running by 93 Percent.

METHODOLOGY The test plan for three applications considered two RSE configurations: one using FHWA's open source V2X Hub middleware, the other relying on built-in RSE features. Two data capture…
Content type
Date Posted
04/25/2024

Driving Simulator Study Found ITS and CAV-Enabled Commercial Motor Vehicles Improved Safe Distance to Roadside by 22 Percent Compared to Driver Response to Static Roadside Message Signs at Work Zones.

METHODOLOGY This study designed three simulated work zones to mimic real-life conditions on or near I-95 in Maryland: one with an arterial lane closure, one with a freeway lane closure, and one with…
Content type
Date Posted
04/23/2024
Taxonomy (ARC-IT) Work Zone Management (MC06)

A Variable Speed Limit (VSL) System Using an AI-Based Algorithm on I-24 in Nashville Reduced Traffic Speed Variations by 32.7 Percent to Improve Safety with Limited Impacts on Vehicle Hours of Delay (VHD).

METHODOLOGY Researchers obtained data from commonly available Radar Detection Systems (RDS) on highways to shape the state input of each VSL controller unit. Regarding the action space of the agents…
Content type
Date Posted
04/23/2024
Taxonomy (ARC-IT) Variable Speed Limits (TM20)

Automated Roadway Lighting Diagnosis Tool Provides Decision Support in Roadway Lighting Management in Florida, Helping to Decrease Nighttime Crash Frequency by 17 Percent.

METHODOLOGY The study used the matched case-control method (each case is paired with a control based on matching characteristics) to investigate the impacts of lighting patterns on nighttime…
Content type
Date Posted
03/31/2024

Microsimulation Study Revealed Road Automation with Level Five Automated Vehicles Can Lead to up to 27 Percent Travel Time Savings.

METHODOLOGY This study evaluated the impacts of 100 percent CAV penetration on travel times and vehicle delays, applying the German Highway Capacity Manual's delay-flow relations and updating them…
Content type
Date Posted
03/31/2024

Illinois Study Found Automated Truck Platooning Powered by an Artificial Intelligence Model Can Reduce Average Fuel Consumption by 10 Percent and Delivery Cost by 26.5 Percent.

METHODOLOGY The study used the pre-trained surrogate model to determine the optimal platooning configuration to minimize fuel consumption under different wind scenarios. The performances of four…
Content type
Date Posted
03/31/2024

A Research Study in China Revealed Drivers’ Acceptance Rate of Advanced Driving Assistance Systems (ADAS) in Commercial Vehicles, with 69.52 Percent for Forward Collision Warning and 38.76 Percent for Lane Departure Warning Systems.

METHODOLOGY In this study, the researchers applied a machine learning algorithm to evaluate the influence factors of commercial drivers’ acceptance. Naturalistic driving ADAS data of 24 commercial…
Content type
Date Posted
03/29/2024

A Study Evaluating Audio- and Image-Based In-Vehicle Warning Messages in Work Zones Found a 16.4 Percent Reduction in CO2 Emissions Using Mixed Messages Compared to a No Message Scenario.

METHODOLOGY This study tested three scenarios: (i) work zone with no audio or image warning system (NO MESSAGE), (ii) work zone with a voice warning system (VOICE MESSAGES), and (iii) work zone with…
Content type
Date Posted
02/29/2024