Delivering resources to save time, lives, and money
In This Case Study You Will Learn North Carolina utilized statewide probe-based travel time data to inform signal retiming process. The guiding principle for the revised prioritization framework and... Learn More
In this Case Study You Will Learn: A needs based budget (NBB) system has been applied internally to all of Arizona DOT Visual performance measures allow ADOT to make data-driven decisions based on... Learn More
IN THIS CASE STUDY YOU WILL LEARN: How the PTC developed their TSMO program in the areas of training, performance measures, and improved technology to improve safety and efficiently How PA Turnpike... Learn More
IN THIS CASE STUDY YOU WILL LEARN: How PennDOT evaluated and built upon already established permanent ITS devices logic and functionality through its Advanced Traffic Management System (ATMS) for... Learn More
TSMO Funding and Program Integration at PennDOT The Pennsylvania Department of Transportation participated in the 2019 NOCoE Summit on TSMO Funding and Capital Improvement Process Integration ( see... Learn More
IN THIS CASE STUDY YOU WILL LEARN: 1. How a multi-modal agency with some of the busiest transportation facilities in the world approaches Communication and TSMO. 2. How PANYNJ developed its... Learn More
IN THIS CASE STUDY YOU WILL LEARN: How Maryland Department of Transportation State Highway Administration (MDOT SHA) used a roadshow to advance the understanding of TSMO and benefits of TSMO... Learn More
On August 21, 2017, a total solar eclipse moved west to east across the United States, covering fourteen states. This was a special event that required extensive planning by transportation agencies... Learn More
IN THIS CASE STUDY YOU WILL LEARN: Why Diversity, Equity and Inclusion policies should be part of TSMO thinking How an Equity Tree process can be applied to TSMO Strategy How Oregon Metro used an... Learn More
Active Transportation and Demand Management (ATDM) [1] is the ability to dynamically manage recurrent and non-recurrent congestion based on prevailing traffic conditions in order to maximize the... Learn More