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Travel Time Performance Measures

This ITE and Consortium for Innovative Transportation Education Blended Learning Course begins Thursday, October 5, 2023. Registration closes at 12 pm ET, Monday, October 2, or once we reach course capacity.

Course Schedule:
October 5 - November 12, 2023 -- Register Here for this Course

View the detailed course syllabus at the bottom of this page. 


Course Description:
The Travel Time Performance Measures course reflects the evolution of transportation system management and planning over the past 10 to 15 years, which was spurred by the growing availability of rich sources of transportation data to state and local DOTs. Previously, the performance of roads and highways, with respect to slowdowns and congestion, was presented as a level of service (LOS) grading scheme (A, B, C ….), based largely on infrequent observations and professional judgement. Today performance metrics are based on constantly flowing sources of travel time information gained directly from travelers and vehicles.

Through online lessons, workshops, and live, interactive webinars, this course provides an overview of how travel time measures have usurped LOS, the difference between recurring and non-recurring congestion, as well travel time and travel time reliability which is key to understanding our system. The course also gives an overview of the many sources of travel time data that are available to roadway authorities from which to make informed operations and planning decisions.

Course Objectives:
By the end of the course, you will have a firm grasp on how travel time measures are used in various contexts to plan and manage our roadway systems, an understanding of the various applications that use travel time data, standard performance monitoring metrics associated with travel time, and where to obtain such data from modern sources.
Upon completion of the course, participants will be able to:

  • How modern roadway management defines, describes, and quantifies Travel Time and Travel Time Reliability using Delay, Travel Time Index, Buffer Time, and Planning Time
  • How to calculate basic Travel Time and Travel Time Reliability measures based on available Travel Time Data
  • The differences between indirect and direct measurement of travel time, and the various technologies and techniques available to the practitioner
  • About the fidelity, cost, and spatial coverage of various travel time devices, industry sources, and techniques, with respect to available travel time data
  • About the use of Travel Time for transportation activities such as incident management, traffic signal monitoring, performance management, and trend monitoring
CEU's: 0.6

Fees:
ITE Member: $200.00
Non-Member: $250.00

Instructor:

Stanley Young, Advanced Transportation & Urban Scientist | NREL's Center for Integrated Mobility Sciences
Stanley Young, an advanced transportation and urban scientist, joined NREL’s Center for Integrated Mobility Sciences in 2015. Today he manages the Mobility Innovations and Equity team, which explores the impacts of new mobility systems, particularly in urban areas. He has also served as the U.S. Department of Energy (DOE) “technologist in city” for the Columbus Smart City program and led the Urban Science pillar in DOE’s Systems and Modeling for Accelerated Research in Transportation (a.k.a. SMART) Mobility research initiative. As pillar lead, he initiated the development of the Automated Mobility District toolkit to assess the mobility and energy impacts of automated electric shuttles and other district-scale automated mobility systems. He also provided guidance and vision for the development of the Mobility Energy Productivity tool.

From 2006 to 2015, while on staff at the University of Maryland’s Center for Advanced Transportation Technology, he architected a multi-state traffic monitoring system based on vehicles self-reporting their position and speed. The system, known as the I-95 Vehicle Probe Project, is the largest multi-state traffic monitoring system in the country. He also co-developed and patented a Bluetooth re-identification traffic sensor to directly sample vehicle travel times and co-founded Traffax Inc. to accelerate the commercialization of the technology.

He also serves as the Chief Data Officer for The Eastern Transportation Coalition.

Click on the Course Syllabus document below to read the learning opportunities offered during this course.

Please allow 7 business days following purchase to receive course information. ITE will provide the Consortium for Innovative Transportation Education a roster of new registrants on a weekly basis. All content including web conferences, workshops, and the exam will be delivered on the Consortium for Innovation Transportation Education's Learning Management System. This offering is not eligible for free registration for ITE student members.