United States Department of Transportation
i
Crash prediction method for freeway facilities with high occupancy vehicle (HOV) and high occupancy toll (HOT) lanes.
-
2015-07-01
-
[PDF-2.68 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Corporate Publisher:
-
Abstract:This study developed methods for estimating the expected crash frequency of urban freeway segments
with HOV or HOT lanes. The safety impacts of the type of separation between the managed lanes and
general purpose lanes were examined. Separate models were estimated for fatal and injury (FI) crashes
and all crashes. The models for facilities with HOV lanes were estimated using five years’ of data from
California, Washington, and Florida. All these facilities have one HOV in each direction (included in
the count of total number of lanes). The effect of separation type on crash rates is found to be statistically
significant only in the models for ten-lane facilities. The models for freeways with HOT lanes were
estimated using four years’ of data from 27 miles (48 segments) of freeways from the states of
California, Texas, and Florida. All these facilities have two HOT lanes in each direction. Facilities with
a 1-foot separation are estimated to have more crashes than those that have a 3-foot separation which in
turn have more crashes than facilities with a 20-foot separation. All the estimated models have been
implemented in a spreadsheet program which will enable analysts to apply these equations for crash
prediction. Overall, thisstudy provides procedures that will help FDOT consider safety in decisions about
planning and designing freeways with HOV or HOT lanes
-
Format:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
