Using Collected Data to Improve Dynamic Traffic Assignment Modeling
项目名称: Using Collected Data to Improve Dynamic Traffic Assignment Modeling
摘要: Traffic assignment models depend on collected data for calibration and validation. The City of Austin is currently deploying an array of sensors and other equipment to collect new sources of data for the City�s transportation system. In addition, other area agencies are collecting large quantities of data and are contributing to the trend of deploying new equipment in the field. Collecting and ultimately using this data to inform transportation network models will result in improved accuracy and can enhance the capabilities of the Center for Transportation�s dynamic traffic assignment tools. In addition, the data collection and analysis will spur new research opportunities.
状态: Completed
资金: 0
资助组织: Office of the Assistant Secretary for Research and Technology
项目负责人: Bhat, Chandra R
执行机构: Data-Supported Transportation Operations and Planning Center
主要研究人员: Duthie, Jennifer
开始时间: 20160401
预计完成日期: 20180831
实际结束时间: 0
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