详情

Leveraging Probe-Based Data to Enhance Long-Term Planning Models

项目名称：	Leveraging Probe-Based Data to Enhance Long-Term Planning Models
摘要：	Long-range transportation planning (LRTP) and travel demand models (TDMs) play an important role in the planning process, which assists transportation agencies with prioritizing future transportation investments. Improved LRTP and TDMs can bring direct benefits to transportation planning in the state. Effective transportation planning and investment decision making depends on timely, comprehensive, and accurate data. However, traditional data collection methods only provide a “snapshot” of the travel information, which limits the performance of conventional LRTP and TDMs. In this regard, while these sources are still used, transportation planners at the state, metropolitan, and local levels are beginning to incorporate third-party traffic data into their planning processes. Planners also start to look at the opportunities afforded through third-party data and provide guidance on how to take advantage of that data to expand and improve planning practices. This project aims to utilize probe-based data to improve the LRTP process and TDMs used by Texas Department of Transportation (TxDOT), metropolitan planning organizations (MPOs) and other planning agencies in the state. The research teams will study how probe-based and location-based data may be leveraged to facilitate the validation and calibration of existing planning models, enhance existing modeling tools, and incorporate advanced modeling techniques.
状态：	Active
资金：	346904
资助组织：	Texas Department of Transportation
管理组织：	Texas Department of Transportation
项目负责人：	Steele, Joanne
执行机构：	Texas A&M Transportation Institute<==>University of Texas at San Antonio
主要研究人员：	Wu, Jason Dayong
开始时间：	20220906
预计完成日期：	20240831
主题领域：	Data and Information Technology；Highways；Planning and Forecasting