Systematic Identification of High Crash Locations
Meeting - 2/9/00 - 1:45 PM
Right after the PAC meeting, Reg, Keith, Zach, Raj, Bill Schuman, and Ali met
to outline strategies for developing databases for the selected study topics.
Followings are the proposed strategies.
1. Identify accidents on horizontal curves
- Use GISALAS to identify crashes on curves
- Use base records to highlight speed controlled curves
- Use string line coordinates points (in Oracle or exported ASCII files)
to establish criteria to distinguish between lines and curves
- Using the criteria to automate the process in determination of curves on
the cartography maps
- ACTION (per meeting with Zach on 2/10/00)
- Select couple of curvy and straight roadways in the Polk county
- Determine deflection angles of each of those line segments through the
procedure which Zach has developed in the Excel spreadsheet
- Establish criteria for distinguishing curves
- Redraw the maps with the implemented criteria
- Compare the new maps with aerial photos
2. Identify fixed-object accidents
- Use GISALAS to determine fixed-object crashes
- Use remote sensing and/or aerial photos to determine proximity of fixed
objects on the roadways
- Determine relationships between locations of objects and crashes
- Note: going to a ditch is considered a fixed object accident
3. Identify accidents at intersections along
rural 4-lane expressways
- Use ALAS (with enhanced GIS coverage of accident locations) to determine
accidents occurred at intersection
- …
4. Identify head-on collisions due to crossing
centerline
- Use ALAS to identify head-on collisions
- Determine spatial data such as
- horizontal curve characteristics,
- lane width
- median type and width
- shoulder type and width
- Traffic mixture and ADT