Latest Lessons Learned Updates

Machine Learning Assessment of Traffic Signals Coupled With a Ranking Algorithm That Relies on Probe Vehicle Data Can Help Agencies Identify Intersections for Signal Retiming.
Date Posted: 01/31/2023 | Source Date:
Complement LiDAR Technology with Sound-Based Radar Technology to Mitigate Weather-Dependent Braking and Stopping Issues for Fully Automated Shuttle Operation.
Date Posted: 01/30/2023 | Source Date:
Implement Interoperability Between Transportation Agencies to Reduce Roadway Clearance Times.
Date Posted: 01/09/2023 | Source Date:
Manage Deployment Risks Related to Connected Vehicle Technology Maturity by Reducing Exposure to External Uncertainties and Adding Testing at an Earlier Stage.
Date Posted: 12/28/2022 | Source Date:
Invest in Agency Staff Data Analysis Capabilities and Data Infrastructure to Enable Benefits of Big Data for Transit Insights and Decision Making.
Date Posted: 12/27/2022 | Source Date:
Manage Public Expectations by Highlighting the Difference Between Connected Vehicles and Autonomous Vehicle Operations, as Found During the Tampa CV Pilot.
Date Posted: 12/20/2022 | Source Date:
Keep Sufficient Automated Shuttle Replacement Parts on Hand to Minimize Service Disruptions.
Date Posted: 12/20/2022 | Source Date:
Enable Real-Time Monitoring and Notifications for Mobile Pedestrian Application Data Stream Connections to Improve User Experience in Case of Data Transmission Failures.
Date Posted: 11/30/2022 | Source Date:
Use a Unified Technology Approach to Leverage Existing Resources and Products When Advancing Mobility Initiatives that Integrate Multiple Modes.
Date Posted: 11/30/2022 | Source Date:
Consider the Importance of Context-Sensitive Regulations When Examining Differences Across Regulations for E-Scooter Programs.
Date Posted: 11/30/2022 | Source Date:
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