Trajectory Data Mining for Performance Measurement of Public Transportation Systems
| 项目名称： | Trajectory Data Mining for Performance Measurement of Public Transportation Systems |
| 摘要： | The main objective of this proposal is to develop a system that can process massive amounts of global positioning system (GPS) trajectories from public transportation vehicles and implement statistical algorithms to analyze variety of public transportation system performance metrics such as travel-time reliability, on-time performance, bus bunching and travel-time estimation. To this end, the project will conduct fundamental research in mining and correlation of real-time and historical bus GPS trajectory datasets in Los Angeles (LA) County, which the project have collected and archived in the projects database over the past four years. Furthermore, to demonstrate the benefits of this research, the project will develop a novel proof-of-concept web-based application to enable access and visualization of the performance metrics of public transportation vehicles. This research will exploit the real-world Los Angeles traffic sensor and bus GPS datasets collected from Regional Integration of Intelligent Transportation Systems (RIITS) under Archived Traffic Data Management System (ADMS) project. |
| 状态： | Completed |
| 资金： | $100,000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Brinkerhoff, Cort |
| 执行机构： | National Center for Metropolitan Transportation Research |
| 主要研究人员： | Demiryurek, Ugur |
| 开始时间： | 20170101 |
| 预计完成日期： | 20171231 |
| 实际结束时间： | 0 |
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