Alternatives Analysis and Travel Demand Modeling

Evaluating Design Alternatives using Crash Prediction Methods from the Highway Safety Manual
Presented by Andrew Ooms

Andrew's presentation will discuss the key aspects of the Highway Safety Manual (HSM) pertaining to quantitative alternatives analysis and how these methods can be applied in Alaska. Topics include: - Introduction to crash prediction and quantitative safety evaluation - Barriers to crash prediction in Alaska - Development of local calibration factors - Example studies from around the country

About the Speaker:

Andrew Ooms Engineer Associate, Kittelson & Associates

Andrew Ooms is experienced in a wide range of transportation engineering and planning fields. He is well-versed in the latest safety practices, methods, and research from around the country. Andrew was involved in NCHRP 17-36: Production of the First Edition of the Highway Safety Manual (HSM). He has designed and executed a city-wide safety management program, including network screening and treatment identification. Andrew has applied HSM principles to a range of corridor studies and alternative analyses in Alaska and elsewhere. His Master's thesis research included the creation of safety performance functions and crash cost analysis. He holds a M.S. in Civil Engineering from the University of Wisconsin-Madison and a B.S. in Industrial Engineering from Northwestern University.

Travel Demand Modeling: Where we have been and where we are heading
Presented by David Reinke

David's presentation will help answer the following questions about travel demand modeling and how the information from the modeling efforts are used to help shape the way we will travel in the future: - What is a travel demand model? - What does it do for us? - How do we build a model? - How do we use the results? - What's new in travel demand modeling?

About the Speaker :

David Reinke Associate Planner, Kittelson & Associates

David Reinke has over 30 years of experience in transportation economics, travel demand modeling, surveys, database management, transit systems, and software engineering. He has worked on a number of leading-edge projects in travel demand and economics, including development of activity-based travel demand models, development of discrete-choice travel demand models, development of microsimulation-based models for analysis of congestion pricing alternatives, and applications of economic methods to regional policy analysis. His current areas of practice include use of advanced statistical techniques in transportation analysis and applications of database technology to transportation data management. He currently serves on the following Transportation Research Board Committees: 1) Traveler Behavior and Values (ADB10), 2) Artificial Intelligence and Advanced Computing Applications (ABJ70), 3) Statistical Methodology and Statistical Computer Software in Transportation Research (ABJ80). He holds a M.S. in Transportation Engineering from the University of California, Berkeley; a Master of Regional Planning degree from Cornell University, and a B.S. in electrical engineering from the Massachusetts Institute of Technology.

There is no cost to attend this workshop.

Event Materials