
doi: 10.48321/d1a9b14294
The Autonomous TMA (ATMA) for Work Zones project features a multi-state application, led by the Colorado Department of Transportation (CDOT), Minnesota Department of Transportation (MnDOT), Oklahoma Department of Transportation, Wisconsin Department of Transportation (WisDOT), and academia partners: Pennsylvania State University (PennState), University of California-Davis (UCD), University of Oklahoma, and University of Wisconsin. This project aims to build internal buy-in and partnerships at a national level, evaluate and integrate the technology under a diverse set of operational design domains and environments, and carry out the needed planning to identify and address current barriers that have prevented State DOTs from deploying the innovative technology at scale. These planning efforts are essential to support the Stage 2 implementation that will feature a variety of deployment of ATMA at each state, to significantly expand deployment of autonomous maintenance technology to operational design domains, environments, and scenarios that are critical for safety in work zones and also demonstrate proof of a DOT capability to integrate the innovation in their operations.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
