项目名称: |
Prediction of Hydroplaning Risk of Truck on Roadways |
摘要: |
Accident data records have shown that wet pavement surface is a significant factor causing car and truck accidents. The vehicle operation, roadway geometric design, and pavement surface and drainage condition are critical factors affecting skid resistance on wet surface and hydroplaning risk. The current models of predicting hydroplaning risk are mainly based on regression analysis of the limited experiment data. These empirical models are difficult to capture the physic-based principle and thus cannot be applied outside the range of data that were used to develop the models. In addition, the current models are focused more on passenger car tires and did not consider water flow characteristics on rough pavement surface. The hydroplaning potential of truck tires at different conditions has not been thoroughly investigated. The research aims to develop an integrated hydroplaning model for trucks that can be used by transportation agencies to design safer roadways. |
状态: |
Active |
资金: |
74924 |
资助组织: |
Office of the Assistant Secretary for Research and Technology |
管理组织: |
Center for Advanced Infrastructure and Transportation |
项目负责人: |
Gresavage, Susan |
执行机构: |
Rutgers University, Piscataway |
主要研究人员: |
Flintsch, Gerardo |
开始时间: |
20161001 |
预计完成日期: |
20181231 |
实际结束时间: |
0 |