\nAndrew's presentation will discuss the key aspects of the High way Safety Manual (HSM) pertaining to quantitative alternatives analysis a nd how these methods can be applied in Alaska. Topics include: \n- Introd uction to crash prediction and quantitative safety evaluation \n- Barrier s to crash prediction in Alaska \n- Development of local calibration fact ors \n- Example studies from around the country \n
\n\n About the Speaker: \n
\n\n Andrew Ooms \nEngineer Associat e\, Kittelson &\; Associates \n
\n\n Andrew Ooms is experienced in a wide rang e of transportation engineering and planning fields. He is well-versed in the latest safety practices\, methods\, and research from around the count ry. 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 ide ntification. Andrew has applied HSM principles to a range of corridor stud ies and alternative analyses in Alaska and elsewhere. His Master's thesis research included the creation of safety performance functions and crash c ost analysis. He holds a M.S. in Civil Engineering from the University of Wisconsin-Madison and a B.S. in Industrial Engineering from Northwestern U niversity.
\n
\n
\nTravel Demand Modeling: Where we have b
een and where we are heading
\nPresented by David Reinke
\n
\n David's presentation will help answer the following questions about travel demand modeling and how the information from the modeling ef forts are used to help shape the way we will travel in the future: \n \n - What is a travel demand model? \n- What does it do for us? \n- How do we build a model? \n- How do we use the results? \n- What's new in trave l demand modeling? \n \n
\n\n About the Speaker \ n : \n
\n\n David Reinke \n Associate Planner\, Kittelson &\; Associates \n
\n\n David Reinke has over 30 years of experience in transportatio n economics\, travel demand modeling\, surveys\, database management\, tra nsit systems\, and software engineering. He has worked on a number of lead ing-edge projects in travel demand and economics\, including development o f activity-based travel demand models\, development of discrete-choice tra vel demand models\, development of microsimulation-based models for analys is of congestion pricing alternatives\, and applications of economic metho ds to regional policy analysis. His current areas of practice include use of advanced statistical techniques in transportation analysis and applicat ions of database technology to transportation data management. He currentl y serves on the following Transportation Research Board Committees: 1) Tra veler Behavior and Values (ADB10)\, 2) Artificial Intelligence and Advance d Computing Applications (ABJ70)\, 3) Statistical Methodology and Statisti cal 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 Technolog y.
\n \n \nThere is no cost to attend this workshop. \n LAST-MODIFIED:20260609T094016 LOCATION:Alaska Department of Transportation and Public Facilities SEQUENCE:0 SUMMARY:Alternatives Analysis and Travel Demand Modeling TRANSP:OPAQUE URL;VALUE=URI:https://events.kittelson.com/ates/3102-alternatives-analysis- and-travel-demand-modeling X-ALT-DESC;FMTTYPE=TEXT/HTML:Evaluating Design Alternatives using Cra
sh Prediction Methods from the Highway Safety Manual
Presented
by Andrew Ooms
Andrew's presentation will discuss the key asp ects of the Highway Safety Manual (HSM) pertaining to quantitative alterna tives analysis and how these methods can be applied in Alaska. Topics incl ude: - Introduction to crash prediction and quantitative safety evaluation - Barriers to crash prediction in Alaska - Development of local calibrati on factors - Example studies from around the country
Ab out 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 pr actices\, methods\, and research from around the country. Andrew was invol ved 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 p rogram\, 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 th e creation of safety performance functions and crash cost analysis. He hol ds a M.S. in Civil Engineering from the University of Wisconsin-Madison an d 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
Davi
d's presentation will help answer the following questions about travel dem
and modeling and how the information from the modeling efforts are used to
help shape the way we will travel in the future:
<\;em>\;About the Speaker<\;/em>\; : <\;a href="http://www.kittelson.com/employees/125-david-re
inke">\;David Reinke<\;/a>\; <\;em>\;Associate Planner\, <\;/
em>\;<\;a href="http://www.kittelson.com/">\;Kittelson &\;amp\; A
ssociates<\;/a>\; David Rei
nke has over 30 years of experience in transportation economics\, travel d
emand modeling\, surveys\, database management\, transit systems\, and sof
tware engineering. He has worked on a number of leading-edge projects in t
ravel demand and economics\, including development of activity-based trave
l demand models\, development of discrete-choice travel demand models\, de
velopment of microsimulation-based models for analysis of congestion prici
ng alternatives\, and applications of economic methods to regional policy
analysis. His current areas of practice include use of advanced statistica
l techniques in transportation analysis and applications of database techn
ology to transportation data management. He currently serves on the follow
ing Transportation Research Board Committees: 1) Traveler Behavior and Val
ues (ADB10)\, 2) Artificial Intelligence and Advanced Computing Applicatio
ns (ABJ70)\, 3) Statistical Methodology and Statistical Computer Software
in Transportation Research (ABJ80). He holds a M.S. in Transportation Engi
neering from the University of California\, Berkeley\; a Master of Regiona
l Planning degree from Cornell University\, and a B.S. in electrical engin
eering from the Massachusetts Institute of Technology.<\;/p>\;
There is no cost to attend this workshop.
END:VEVENT END:VCALENDAR