题名: |
Crash Prediction Method for Freeway Facilities with High Occupancy Vehicle (HOV) and High Occupancy Toll (HOT) Lanes. Summary. |
作者: |
Srinivasan, S.; Haas, P.; Alluri, P.; Gan, A.; Bonneson, J. |
关键词: |
Crash predictor model, Motor vehicle accidents, Managed lanes facilities, Separation type, Vehicle crashes, Safety impacts, Lane usage, Freeways, High occupancy vehicle (HOV), High occupancy toll (HOT) |
摘要: |
University of Florida researchers sought to develop methods to estimate expected crash frequency on facilities that include HOT or HOV lanes.As traffic volumes increase in Florida, managed lanes are being increasingly used. Managed lanes include those for which multiple passengers (high occupancy vehicle, or HOV, lanes) are required or access is permitted based on high occupancy and/or paying a toll (high occupancy/toll or HOT lanes). To date, systematic methods to analyze safety on HOV/HOT lanes in terms of expected crash frequency have not been developed. Crash frequency provides an objective view of the safety of an existing roadway, and it can also be used to predict the crash incidence and severity based on roadway geometry. This information is useful in planning and design. |
总页数: |
Srinivasan, S.; Haas, P.; Alluri, P.; Gan, A.; Bonneson, J. |
报告类型: |
科技报告 |