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Adopt Different Machine Learning (ML) Models to Predict Congestion Measures for Rural and Urban Areas Based on Modeling Performance Differences and Utilize Explainable ML for Enhanced Interpretation.

Adopt different ML models to predict congestion measures for rural and urban areas based on the performance differences. This study found better performance of rural freeway models as compared to…
Content type
Lesson
Date Posted
03/22/2024
Taxonomy (ARC-IT) Data Management, Performance Monitoring (DM02), Regional Traffic Management (TM07)
Geolocation links
Texas, United States

Conduct Durability Tests to Ensure Antenna Mounting Supports Proper Connected Vehicle Communications for Large Vehicles.

Conduct interoperability test to identify potential issues that would require resolution prior to the sites advancing to an operational phase. The three-day testing event was a major victory for the…
Content type
Lesson
Date Posted
02/29/2024
Taxonomy (ARC-IT) Connected Vehicle System Monitoring and Management (SU01), ITS Communications (SU07), Connected Vehicle Traffic Signal System (TM04)
Geolocation links
Wyoming, United States   |   New York City, New York, United States   |   Tampa, Florida, United States

Incorporate Typical Driver Reactions and Countermeasures into Algorithms Developed for Collision Avoidance Warning Systems and Automated Emergency Braking to Reduce Unnecessary In-vehicle Warnings.

The lessons learned from this project include Return on Investment (ROI) for CAWS/AEB, testing procedures, the importance of bus original equipment manufacturer (OEM) involvement, transit research…
Content type
Lesson
Date Posted
09/29/2023
Taxonomy (ARC-IT) Vulnerable Road User Safety (VS12), Intersection Safety Warning and Collision Avoidance (VS13)
Geolocation links
Washington, United States

Leverage Supplementary Communication Protocols To Disseminate Traveler Information Messages (TIMs) Beyond the Deployment Region To Maximize Impacts of Connected Vehicle Technologies.

Leverage supplementary communication protocols to disseminate traveler information messages (TIMs) beyond the deployment region to maximize CV impacts. When there were a limited number of roadside…
Content type
Lesson
Date Posted
04/28/2023
Taxonomy (ARC-IT) Connected Vehicle System Monitoring and Management (SU01)
Geolocation links
Tampa, Florida, United States

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
Lesson
Date Posted
09/27/2022
Taxonomy (ARC-IT) Autonomous Vehicle Safety Systems (VS01), Weather Information Processing and Distribution (WX02)
Geolocation links
East Liberty, Ohio, United States

Engage Technology Vendors or Manufacturers To Provide Hands-On Demonstration and Training for Equipment Deployment To Validate and Verify Technology Capabilities and Readiness.

Initial findings and insights from grantees revealed the following institutional, project management, and technical challenges and lessons learned: Engage technology vendors or manufacturers to…
Content type
Lesson
Date Posted
07/26/2022
Taxonomy (ARC-IT) Infrastructure Monitoring (MC09), Traffic Signal Control (TM03), Integrated Decision Support and Demand Management (TM09), Road Use Charging (TM11), Broadcast Traveler Information (TI01), Autonomous Vehicle Safety Systems (VS01), Automated Vehicle Operations (VS16)
Geolocation links
Nationwide, United States

To Reduce Excessive Nuisance Alerts Generated by Transit Vehicle Collision Avoidance Warning Systems, Use Location Based Sensitivity Adjustments for Routes That Traverse Both Pedestrian Heavy Areas and Areas with Less Pedestrian Activity.

 Remember that CAWS can be overly sensitive. Based on the survey results, 75 percent of bus operators reported that the CAWS set off many false alarms about pedestrians and bicyclists when…
Content type
Lesson
Date Posted
07/26/2022
Taxonomy (ARC-IT) Autonomous Vehicle Safety Systems (VS01), Intersection Safety Warning and Collision Avoidance (VS13)
Geolocation links
Virginia, United States

When Implementing a First-Mile/Last-Mile (FMLM) Transit Service Develop a Standard Operation Procedure (SOP) To Replace Mission Critical Mobile Devices That Fail in the Field During Revenue Service.

Check the voltage of the driver devices. These devices must be charged during revenue service hours. For the DART project, a Standard Operation Procedure (SOP) was developed to replace devices that…
Content type
Lesson
Date Posted
06/30/2022
Taxonomy (ARC-IT) Dynamic Transit Operations (PT03)
Geolocation links
Plano, Texas, United States

Conduct a Pre-deployment Site Assessment to Identify Low Signal Strength Areas and Consider Additional Infrastructure for Indoor Parking Garages to Boost the Cellular Signal Required for Connected and Automated Parking.

Consider optimal parking design for an efficient AVP deployment. It is better to deploy AVP in lots with straight parking spots. Angled parking may not be ideal for maximizing the benefits of this…
Content type
Lesson
Date Posted
03/29/2022
Taxonomy (ARC-IT) Parking Space Management (PM01)
Geolocation links
Maryland, United States

Operate Test Vehicles at Varying Speeds to Ensure Proper Configuration of Wrong-Way Driving Prevention Systems.

Check the camera angle of the detection component and test different vehicle speeds for detection of Wrong-Way Drivers.  A few missed detections were found during test speeds of 30 and 40 mph.…
Content type
Lesson
Date Posted
11/29/2021
Taxonomy (ARC-IT) Autonomous Vehicle Safety Systems (VS01), Infrastructure-Based Traffic Surveillance (TM01)
Geolocation links
Nashville, Tennessee, United States
ITS Deployment Evaluation

INTELLIGENT TRANSPORTATION SYSTEMS JOINT PROGRAM OFFICE

1200 New Jersey Avenue, SE
Washington, DC 20590

its.dot.gov

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U.S. Department of Transportation Office of the Assistant Secretary for Research and Technology (OST-R)
 
 
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