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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

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

Consider Third-party Accessibility Testing to Enhance Digital Accessibility and Ensure Compliance with Web Content Accessibility Guidelines and Screen Readers.

Consider third-party accessibility testing to enhance digital accessibility and ensure compliance with Web Content Accessibility Guidelines (WCAG) and screen readers. Valley Metro employed a third-…
Content type
Lesson
Date Posted
06/30/2023
Taxonomy (ARC-IT) Shared Use Mobility and Dynamic Ridesharing (TI06)
Geolocation links
Chicago, Illinois, United States   |   Dallas, Texas, United States   |   Los Angeles, California, United States   |   Puget Sound, Washington, United States   |   San Francisco, California, United States   |   Tacoma, Washington, United States   |   Tucson, Arizona, United States   |   Portland, Oregon, United States   |   Phoenix, Arizona, United States   |   Vermont, United States   |   Pinellas County, Florida, United States

Avoid Deploying Automated Truck-Mounted Attenuators (ATMA) on roundabouts or unconventional intersection designs Until further research and testing is done to successfully navigate through difficult pathways.

Recognize that operator training is essential and critical. The operation of ATMA relies on a two-vehicle setup involving a human-driven lead vehicle. The decisions made by the lead vehicle's driver…
Content type
Lesson
Date Posted
06/30/2023
Taxonomy (ARC-IT) Work Zone Management (MC06)
Geolocation links
Gainesville, Florida, United States

Consider Incorporating the Use of Unmanned Aircraft Systems (UAS) and UAS-Based Platforms To Support Traffic Incident Management Instead of Acquiring UAS Alone.

Consider incorporating the use of UAS and UAS-based platforms to support traffic incident management instead of acquiring UAS alone. While the initial acquisition of UASs without the assistance…
Content type
Lesson
Date Posted
04/30/2023
Taxonomy (ARC-IT) Traffic Incident Management System (TM08)
Geolocation links
Texas, 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

Demonstrate the Value Proposition of Integrated Corridor Management by Monetizing its Benefits, Such as Improved Travel Time Reliability and Predictability.

Below are the lessons learned from this study:Clearly demonstrate the benefits of ICM by focusing on its impacts on travel time reliability and travel time predictability. Since costs pile up…
Content type
Lesson
Date Posted
03/28/2023
Taxonomy (ARC-IT) Integrated Decision Support and Demand Management (TM09)
Geolocation links
Nationwide, United States

Include a Mix of Metrics to Measure the Performance of an On-Demand Ride-Share to Transit Program, including New Riders, Customer Experience and Metrics Related to Mobility, Safety, Equity and Cost-Efficiency.

Include a Mix of Metrics to Measure the Performance of the Rideshare to Transit Program. The experience from the LA deployment in this study revealed that ridership is a critical indicator but not…
Content type
Lesson
Date Posted
03/28/2023
Taxonomy (ARC-IT) Multi-modal Coordination (PT14)
Geolocation links
Los Angeles, California, United States   |   Puget Sound, Washington, United States

Local Validation and Evaluation of Pedestrian Detection Using Thermal Imaging Technology is Needed, Especially in Areas with Complex Traffic Conditions and Road User Activities.

Several lessons learned were captured during the evaluation of FLIR pedestrian detection, particularly from the detection accuracy of the FLIR sensors under different conditions. Perform the…
Content type
Lesson
Date Posted
11/28/2022
Taxonomy (ARC-IT) Autonomous Vehicle Safety Systems (VS01), Vulnerable Road User Safety (VS12)
Geolocation links
New York City, New York, United States
ITS Deployment Evaluation

INTELLIGENT TRANSPORTATION SYSTEMS JOINT PROGRAM OFFICE

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its.dot.gov

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