原文传递
Developing a Method for Estimating AADT on all Louisiana Roads, TechSummary.
| 题名： | Developing a Method for Estimating AADT on all Louisiana Roads, TechSummary. |
| 作者： | Sun, X. |
| 关键词： | Traffic volume, Rural local roadways, Machine learning, Pattern recognition, Support vector machine, Support vector regression |
| 摘要： | The goal of this project is to develop a methodology for estimating AADT on all Louisiana roadways with an emphasis on non-state rural roadways. Exploring different AADT estimating procedures established previously and new data collection technologies will do this. Specifically, the objectives of the proposed project are to: (1) Review existing (permanent and mobile) traffic counts and identify roadways currently without traffic counts on the entire Louisiana roadway network: (2) Identify variables influential to AADT estimation such as population, demographic characteristics, distance to permanent counts, and number of jobs; (3) Select the representative parishes to develop models; (4) Develop the AADT estimation models for non-statement roadways in rural areas; (5) Explore AADT estimation methods for non-state roadways in small urban areas. |
| 总页数： | Sun, X. |
| 报告类型： | 科技报告 |
相关文献
- Developing a Method for Estimating AADT on all Louisiana Roads.
- Evaluating Cell Phone Data for AADT Estimation, TechSummary.
- Estimation of Annual Average Daily Traffic for Off-System Roads in Florida; Final rept
- Developing Inexpensive Crash Countermeasures for Louisiana Local Roads.
- ESTIMATION OF ANNUAL AVERAGE DAILY TRAFFIC FOR NONSTATE ROADS IN A FLORIDA COUNTY.
- ESTIMATION OF ANNUAL AVERAGE DAILY TRAFFIC ON LOW-VOLUME ROADS: FACTOR APPROACH VERSUS NEURAL NETWORKS.
检索历史
应用推荐
