Crash prediction method for freeway facilities with high occupancy vehicle (HOV) and high occupancy toll (HOT) lanes.
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2015-07-01
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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
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Main Document Checksum:urn:sha256:6fdad4245b7e0dbfbba02594cf5fb68d4de47ddded757547a1e0a3fa9483ca50