Digitizing Traffic Control Infrastructure for Autonomous Vehicles (AV)
| 项目名称： | Digitizing Traffic Control Infrastructure for Autonomous Vehicles (AV) |
| 摘要： | High precision road maps are a crucial component to facilitating autonomous driving techniques. Autonomous vehicles (AVs) are experiencing exponential growth. According to the latest forecast from IHS Markit, over 33 million AVs will be on the road globally by 2040, posing a higher requirement to ensure AVs’ driving safety. Although current AVs rely on vehicular sensing techniques (e.g., Camera, Lidar, Radar), studies have suggested that creating high-quality road maps with traffic control infrastructures (TCIs) (e.g., traffic signs, signals, intersections) precisely digitized is necessary to enhance safe-driving operations of AVs. Meanwhile, digitizing TCIs is also of great importance for road assets planning and management. However, a readily available database with precisely digitized TCIs is still missing in most areas. Traditionally, TCIs are manually digitized by conducting field studies, which is time-consuming and labor-intensive. With the advancement of data collection and processing techniques, numerous emerging data sources are becoming available, posing great potential to capture and digitize TCIs more efficiently. This project shall recommend an effective framework for the digitization, maintenance, and sharing of Receiving Agency roadway assets, especially for TCIs. The Performing Agency shall evaluate commercially available solutions and propose new approaches by leveraging emerging data sources and techniques. |
| 状态： | Active |
| 资金： | 359,394 |
| 资助组织： | Texas Department of Transportation |
| 项目负责人： | Steele PMP, CTCM, Joanne |
| 执行机构： | Texas A&M Transportation Institute<==>The University of Texas at Dallas |
| 开始时间： | 20210901 |
| 预计完成日期： | 20230831 |
| 主题领域： | Operations and Traffic Management |
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