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Highway Safety Analysis based on HSM/HSS

This ITE and McTrans Center Course has several open class dates to choose from. Each class is two days in length. See below for class dates.

Course Schedule:
May 24 and 25-- Register Here for May course
July 19 and 20 -- Register Here for July course

Registration closes at 12 pm ET, on the Friday before the course begins, or once we reach course capacity.

Course Description:
This course is designed for engineering, planning and road safety professionals who want to be familiarized with the Predictive Methods of the Highway Safety Manual and their applications, with a focus on the Highway Safety Software (HSS). It is also designed to provide a solid foundation for those studying for the PE exam.
Experienced instructor(s) will provide an overview of the methodology steps, highlighting key concepts, best practices, common limitations of the methods. Several example problems will be discussed in class, and students will have the opportunity to practice the use of the Highway Safety Software (HSS) to perform HSM predictive analyses.

Course Objectives:

Upon completion of the course, participants will be able to:
  • Understand the scope of Highway Safety Manual (HSM) Crash Prediction Models.
  • Understand analysis inputs and interpret results
  • Use the basics of Highway Safety Software to perform HSM analyses
  • Understand and interpret analyses results

Program Schedule Details: 
Highway Safety Analysis Webinar Series Schedule (All Times are Eastern Time)
Day 01
(1:00 – 2:00 pm)
HSM introduction and Overview
Two-Lane Highways
Day 01
(2:00 – 4:00 pm)
HSM Applications to Two-Lane Rural Highways, including HSM predictive methods and crash modification factors for two-lane rural segments and intersections
Multi-Lane Highways
Day 01
(4:00 – 5:00 pm)
HSM Applications to Multilane Highways, including HSM predictive methods and crash modification factors for multi-lane rural segments and intersections
Urban Arterials
Day 02
(1:00 – 3:00 pm)
HSM Applications to Urban and Suburban Arterials, including HSM predictive methods and crash modification factors for urban/suburban arterials segments and intersections
Day 02
(3:00 – 5:00 pm)
HSM Applications to Freeways, including HSM predictive methods and crash modification factors for Freeways segments, speed change lanes, ramp components and ramp terminals 

This course combines the best features of classroom instruction and online learning.

  • Live web conferences with an experienced instructor. Attendees must meet minimum technology requirements, such as having a computer with a steady internet connection and access to basic applications such as Zoom and a PDF reader.
PDHs: 8.0

Karla Rodrigues-Silva, Sc.D. | Highway Safety - Subject Matter Expert

Bio: Dr. Karla Rodrigues-Silva has over 15 years of professional experience focusing on quantitative safety analysis methodologies, traffic operations, and urban planning. Most of Dr. Karla's work has been based on the Highway Safety Manual methodology and other international practices. She has been recognized by her outstanding performance over the past few years, including the Honorable Mention award from the Brazilian state-level society of engineers for her safety engineering research; Best Brazilian dissertation on road safety awarded by international organization Abertis; selected as Finalist of ITE Vision Zero Sandbox Competition in the U.S as part of the University of Florida team. At McTrans Center, she has held several training sessions and workshops on the Highway Safety Analysis on the use of Highway Safety Software.

ITE Member: $280.00
Non-Member: $350.00

To register for this course, please choose from the dates above. 

Important -- Please allow 7 business days following purchase to receive course information. ITE will provide the McTrans Center a roster of new registrants on a weekly basis. All content including web conferences, workshops, and distribution of PDHs will be delivered on the McTrans System. This offering is not eligible for free registration for ITE student members.