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Institutional, Organizational, and Process
Tactical Elements
Publications

Traffic Signal Systems, Arterial Management, and TSMO Peer Exchange Report

The National Operations Center of Excellence (NOCoE) hosted the Traffic Signal Systems, Arterial Management and TSMO Virtual Peer Exchange with the participation of transportation agency professionals experienced in developing and implementing in plans, programs, policies, and projects in arteria

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Case Studies & Lessons Learned

eTraffic - Traffic Signals and Control Strategies Inventory

The eTraffic system by Florida DOT (FDOT) improves traffic signal management, saving lives, time, and money. It enhances safety with real-time updates, wrong-way driving countermeasures, and faster emergency response. The platform streamlines operations with automated reporting, centralized data

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Case Studies & Lessons Learned

Innovating Winter Driving Safety with Signal Heat Tape

Utah Department of Transportation’s (UDOT) heat tape solution for LED traffic signals enhances safety by ensuring visibility during snowfall, reducing the risk of crashes and protecting maintenance workers. The heat tape saves time by allowing remote activation to clear snow, preventing traffic d

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Case Studies & Lessons Learned

Ohio Corridor Ranking Assessment Tool Development

The Ohio Department of Transportation (ODOT) is optimizing traffic signal timing using the Ohio Corridor Ranking Application (OCRA) tool to enhance safety, efficiency, and cost-effectiveness. ODOT plans to improve safety by retiming dangerous corridors with the use of Travel Time Reliability, Del

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Case Studies & Lessons Learned

Shortcut in Central Florida

The FDOT District Five’s Shortcut platform enhances traffic flow and safety by automating signal control across multiple jurisdictions. It helps save lives by reducing crashes on congested ramps through quick signal adjustments. Time is saved as motorists bypass traffic incidents faster, thanks t

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Case Studies & Lessons Learned

Applying Emerging Technologies for Smarter Traffic Signal Optimization Processes

Background

This project was unique because it used several new technologies and practices for traffic signal timing. First, it used Automated Traffic Signal Performance Measures (ATSPMs) for a complete corridor signal optimization without traditional traffic counts and models. Second, it used

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Case Studies & Lessons Learned

Adaptive Signal Control Technologies in Traverse City

To help overcome the operational obstacles posed by a growing tourism industry, the North Region of the Michigan Department of Transportation (MDOT) designed and deployed adaptive signal control technologies (ASCT), CCTV cameras, and WiFi/Bluetooth readers aimed not only at reducing congestion, i

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Case Studies & Lessons Learned

Traffic Signal Modernization Program

IN THIS CASE STUDY YOU WILL LEARN: How Tennessee DOT worked with local government agencies to modernize traffic signal systems in both small and large agencies to reduce crashes, improve traffic operations, system reliability How TDOT partnered with the American Council of Engineering Compan
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Case Studies & Lessons Learned

Regional Intelligent Transportation Information System (RITIS) Data Driven Screening and Project Selection

IN THIS CASE STUDY YOU WILL LEARN: How GDOT conducted an extensive review of available data sources for prioritization rankings of bottlenecks and determined using RITIS speed data was the best available option to complete the analysis. How RITIS and the Probe Data Analytics (PDA) suite was
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Presentation

The Benefits of Regional Collaboration: Workforce Development, Construction Management, and RTSMO

This webinar discusses the lessons learned, in promoting collaboration and coordination and ultimately the development of a process that links goals, context, objectives, strategies and tactics that is currently being incorporated into the guiding principles of traffic signal program management,

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Features recorded webinars and presentations by TSMO practitioners and subject matter experts sharing their knowledge, experiences, and lessons learned as well as other self-scheduled resources.

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