Vehicle-Utility Pole Accident Predictive Model and Pole Relocation PrioritizationProcedure

摘要

The aim of the project is to develop a vehicle-utility pole accident predictivemodel. The major parameters affecting the vehicle-utility pole accident rates were identified to be travel speed, pole density, pole offset and average daily traffic volume. The method of dimensional analysis was used to identify the structure of new model. The travel speed was found to be one of the most important factors affecting the vehicle-utility pole accidents. It was also found that the travel speed and pole density were inseparable and should jointly affect the utility pole accidents. A vehicle-utility pole accident predictive model, UFDOT model, was developed to forecast the rates of vehicle-utility pole accidents. This model incorporates major factors affecting the utility pole accidents. In addition, a utility pole relocation project ranking system was developed and demonstrated through a case study.