1. Crash Injury Severity of Older Drivers in Iowa (an unfunded study by Khattak, Pawlovich and Souleyrette)
Objectives
Exploratory study focused on older drivers
Identify factors contributing to severity of injury
Driver
Environment
Weather
Policy actions
Develop Ordered Probit Model
Determine future research direction
y* = 'x + 

2. Problem conceptualization
Single-Veh Crash Injury Severity
Driver Characteristics
Age, Gender
Alcohol/drug use
Use of safety restraint equip
Driving behavior
Vehicle Characteristics
Vehicle type
Environmental & Temporal Factors
Weather
Light condition
Urban or rural location
Year, month, day of week
Crash Characteristics
Crash type
Degree of vehicle damage
Roadway Characteristics
Geometry
Pavement type & condition
Speed limit
Policy Factors
Speed limit changes
Enforcement

3. Conclusions: Contributory factors
Age, gender
Farm vehicles
Curves in level terrain
Fixed objects hit; overturned
Rural environment
No evidence of increased injury due to NMSL

4. An Application of LiDAR Technology to Highway Safety (An MTC funded study by Khattak, Hallmark and Souleyrette)
Objective
Utilize LiDAR data to obtain information that can lead to geometric safety improvements at highway intersections for older drivers

5. Research Methodology Accident Data LiDAR Data Orthophotos Geocode
Data Integration in GIS
Conduct in-office analysis
Field validation of results

6. Conclusions
Correctly identified obstructions at intersection with the most accidents involving older drivers
LiDAR data can be effectively used for detection of obstructions at intersections
Chances of detecting obstructions that do not exist & missing obstructions that do exist are reasonably low
Both first-return and last-return data should be utilized
Intersections where obstructions are detected may then be field inspected