详情

Unmanned Aerial Systems for Transportation Decision Support

项目名称：	Unmanned Aerial Systems for Transportation Decision Support
摘要：	Commercial remotely sensed datasets have tremendous value for a broad range of transportation-related activities, but their full potential is often constrained by inadequate temporal resolution, poor spatial resolution, and high acquisition costs. Unmanned Aerial Systems (UAS) have the potential to overcome these limitations, radically changing the way remote sensing data are used for transportation planning, operations, maintenance, and program development. Contemporary off the shelf UAS are inexpensive to purchase, easy to operate with proper training, rapidly deployable, and provide data with spatial resolutions that cannot be matched by traditional airborne and spaceborne platforms. This supplemental funding will be used to expand the operational capacity of the UAS portion of this project, addressing the needs of state transportation agencies. This project will apply proven UAS acquisition and analytical capabilities in four categorical areas that have been determined to be of high interest by stakeholders: 1) geomorphic assessment, 2) construction management and phasing, 3) resource allocation during disaster response, and 4) cost decision support. The project team will marry this with a robust outreach and training program that will improve the abilities of state and local transportation planners to integrate UAS data and products into their decision-making and management operations. The activities in all four areas will develop operational solutions with quantifiable results that improve decision making, reduce costs, increase life safety, and provide a measurable impact on existing decision processes, models and resource tasking.
状态：	Active
资金：	468126
资助组织：	Office of the Assistant Secretary for Research and Technology
项目负责人：	Singh, Caesar
执行机构：	University of Vermont, Burlington
开始时间：	20140929
预计完成日期：	20160729
主题领域：	Administration and Management；Construction；Data and Information Technology；Finance；Planning and Forecasting；Research；Transportation (General)；Vehicles and Equipment