{"id":607,"date":"2021-09-13T14:58:27","date_gmt":"2021-09-13T14:58:27","guid":{"rendered":"https:\/\/tsap.unc.edu\/?page_id=607"},"modified":"2021-09-20T19:59:55","modified_gmt":"2021-09-20T19:59:55","slug":"tsap-project-5-spotlight","status":"publish","type":"page","link":"https:\/\/www.tsap.unc.edu\/index.php\/news-updates\/tsap-project-5-spotlight\/","title":{"rendered":"TSAP Project 5 Spotlight"},"content":{"rendered":"

Planning for Advanced Technology Data Readiness<\/span><\/h3>\n

State DOTs\u00a0use\u00a0large amounts of\u00a0data for a variety of reasons, including tracking crashes, recording roadway and driver characteristics, cataloguing vehicles, and making data-driven decisions\u00a0about mobility and safety. These activities are performed using a variety of\u00a0existing\u00a0tools that collect, store, and analyze\u00a0data from a variety of sources. The arrival of connected and automated vehicles (CAV) will undoubtedly\u00a0disrupt\u00a0these systems; so, it is\u00a0important to prepare for the changes in data requirements that will occur as a result of CAV deployment in\u00a0North Carolina\u00a0by understanding how our data will be affected and to prioritize\u00a0our\u00a0responses.<\/span>\u00a0<\/span><\/p>\n

The term \u201cdata\u201d can mean different things to different stakeholders. As a result, the project team has developed a framework for cataloguing an inventory of connected and automated vehicle data elements. A few of the elements identified are depicted in Figure 1, below. <\/span>\u00a0<\/span><\/p>\n

\"\"<\/span><\/p>\n

The elements, which were identified through a comprehensive review of current state and federal reports on CAV data activities, as well as interviews with stakeholders in other states, were organized into seven categories:<\/span>\u00a0<\/span><\/p>\n

Vehicle<\/span><\/i>.\u00a0Vehicle data includes\u00a0the\u00a0vast amount of real-time operational data produced by\u00a0automated\u00a0vehicle\u00a0systems.<\/span>\u00a0<\/span><\/p>\n

Infrastructure<\/span><\/i>.\u00a0This data category describes the Physical Infrastructure that is needed to support the CAV operations. Data elements under Physical Infrastructure can be further subdivided into two main sub-categories, i.e., Roadside Safety Equipment and Communication.<\/span>\u00a0<\/span><\/p>\n

Traffic<\/span><\/i>.\u00a0Traffic data describes\u00a0real-time performance of vehicles in a specific area, such as average throughput, closures and restrictions, and travel advisories.<\/span>\u00a0<\/span><\/p>\n

Operational\u00a0Domain<\/em>.\u00a0The operational domain defines the functional ranges for automated driving systems, which determines where\u00a0and\u00a0when\u00a0and under what conditions\u00a0CAVs are able and permitted to operate.\u00a0<\/span>\u00a0<\/span><\/p>\n

Fleet<\/span><\/i>.\u00a0Fleet data describes related groups of CAVs and includes permits that allow testing or deployment in a particular area.<\/span>\u00a0<\/span><\/p>\n

Person<\/span><\/i>.\u00a0This data category describes characteristics of individual people. Examples include permit data that certify the qualifications of test drivers, the dynamic output from driver monitoring systems (DMS) collected when operating an AV, and the broad range of survey data collected to understand community opinions about AVs.<\/span>\u00a0<\/span><\/p>\n

Crash<\/span><\/i>.\u00a0While CAVs have enormous safety potential, they will inevitably get into collisions. When that happens, there will need to be a way to collect and record the crash data.<\/span>\u00a0<\/span><\/p>\n

In the first phase of Project 5, the team is\u00a0creating a detailed inventory of CAV data elements for each of the seven categories. In the next phase, we will work with the NC DOT to identify which ones will affect NC DOT transportation systems.\u00a0<\/span>\u00a0<\/span><\/p>\n

Learn more about Project\u00a05\u00a0here.<\/span>\u00a0<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Planning for Advanced Technology Data Readiness State DOTs\u00a0use\u00a0large amounts of\u00a0data for a variety of reasons, including tracking crashes, recording roadway and driver characteristics, cataloguing vehicles, and making data-driven decisions\u00a0about mobility and safety. These activities are performed using a variety of\u00a0existing\u00a0tools that collect, store, and analyze\u00a0data from a variety of sources. The arrival of connected and […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":105,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-607","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages\/607","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/comments?post=607"}],"version-history":[{"count":7,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages\/607\/revisions"}],"predecessor-version":[{"id":613,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages\/607\/revisions\/613"}],"up":[{"embeddable":true,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages\/105"}],"wp:attachment":[{"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/media?parent=607"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}