T3 Webinar Overview
To Choose or Not to Choose: Travel Time Reliability Helps Travelers Make Smart Travel Choices
Date: Wednesday, January 18, 2017
Time: 1:00 PM – 2:30 PM ET
Cost: All T3 webinars are free of charge
PDH: 1.5 View PDH Policy
T3 Webinars and T3e Webinars are brought to you by the Intelligent Transportation Systems (ITS) Professional Capacity Building (PCB) Program of the U.S. Department of Transportation's (U.S. DOT) ITS Joint Program Office (JPO). References in this webinar to any specific commercial products, processes, or services, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the U.S. DOT.
Travel time variability is the characteristic of the transportation system that means a traveler’s trip will vary from what is normally expected and will potentially take longer than planned. By helping travelers make travel choices that take into account travel time variability, agencies have the potential to improve roadway congestion. One measure of travel time variability is travel time reliability (TTR). TTR information includes static data about traffic speeds or trip times that capture historic variations daily and enable individuals to understand the level of variability in traffic. A key component to addressing the reliability issue related to urban mobility is conveying TTR information to system users. This allows users to make informed decisions about their travel. The challenge for transportation professionals lies in selecting the best means of conveying TTR information as a usable and effective means for travelers and other stakeholders.
This webinar will present the results from the “Effectiveness of Disseminating Traveler Information on Travel Time Reliability” report. A field study was conducted to test a lexicon of phrases developed under the second Strategic Highway Research Program (SHRP2) L14 project to convey TTR information to road users for making optimal travel choices from their point of view. We will discuss the study results that compared two lexicon assemblies and three dissemination platforms tested in three metropolitan areas.
Attendees of the webinar will expect to learn about:
- Real-world opinions from travelers about the potential benefits of utilizing TTR information;
- The usefulness and effectiveness of disseminating TTR information to the general public; and
- How State agencies could use TTR as a tool for informing travelers about travel times and route choices.
The intended audiences for this webinar are the following:
- ITS and Transportation Management Center (TMC) Program Managers, consultants, vendors, academia, and government officials, including local, State, Federal, DOTs, and any other individuals or entities involved in traveler operations.
- Those wanting to learn more about usage of travel time reliability information.
Jimmy Chu, Transportation Specialist, U.S. Department of Transportation, Federal Highway Administration (FHWA)
Jimmy Chu is a Transportation Specialist on the Traveler Information Management Team at FHWA in Washington, D.C. In this position, Mr. Chu oversees the Travel Time on Dynamic Message Signs program. He also manages the Transportation Management Center Pooled-Fund Study. He provides technical support to State agencies relating to traveler information programs. Prior to joining FHWA, Mr. Chu worked at the Virginia Department of Transportation for 25 years and was the manager of the TMC in Northern Virginia. He holds a Bachelor of Science in Civil Engineering from the University of Maryland.
Alan Pate, Senior Research Scientist, Battelle
Alan Pate has more than 26 years of experience managing information collection activities, designing database management and data acquisition systems, and performing statistical analyses in multi-disciplinary areas ranging from transportation and environment field studies to pharmaceutical clinical trials. He also has more than a decade of program and project management experience. Mr. Pate is an experienced report author and has written numerous quality assurance plans and guidance materials for ensuring the quality of collected data. In addition to the Effectiveness of Disseminating Traveler Information on Travel Time Reliability project, he recently managed a field study involving the use of a custom-written smartphone application to collect travel data from participants in four livable communities. He also has managed information gathering efforts (e.g., best management practices) for multiple U.S. DOT programs, as well as database activities associated with systems evaluations of various intelligent transportation systems.
Beverly Kuhn, System Reliability Division, Texas A&M Transportation Institute
Beverly Kuhn has over 28 years of diverse and extensive experience in the conduct of operations related research. She serves as head of the System Reliability Division of the Texas Transportation Institute. Her areas of research expertise include active transportation and demand management, active traffic management, capability maturity, managed lanes, traffic operations, ITS, human factors and safety, travel time reliability understanding, traffic control devices, and sign visibility. She is considered a leader in the area of active transportation and demand management (ATDM) and is currently involved in numerous projects for FHWA and the National Cooperative Highway Research Program (NCHRP) on topics related to ATDM.
Bob Krile, Statistician, Battelle
Bob Krile is a statistician with more than 20 years of experience consulting with primarily government clients. For U.S. DOT, he has provided statistical design and analysis support for a number of different evaluations or demonstrations such as the ITS MAYDAY/9-1-1 Field Operational Test Evaluation, the Congestion Reduction Demonstration, the Integrated Corridor Management Initiative, and the Effectiveness of Disseminating Traveler Information on Travel Time Reliability, all for FHWA, as well as the Bus Operating Practices project for Volpe. In supporting these tasks, he has developed methods to determine appropriate sample sizes for survey-related applications with challenging populations and sampling frames. He has written and executed test plans to perform statistical analysis to include opinion and preference response modeling with appropriate survey weighting and adjustments for covariates. He is an expert in general linear modeling techniques and acceptance sampling. Other transportation work he has led includes evaluation of the underlying data and subsequent statistical estimates for important transportation measures such as annual average daily traffic volumes and the National Highway Construction Cost Index.