Focus:<\/strong>\u00a0Integration of CAV fleet data with NCDOT data infrastructures to create a publicly beneficial travel time visualization and information system<\/p>\n Co-PIs:<\/strong>\u00a0Dr. Hyoshin (John) Park<\/a>, NC A&T University, and Dr. Venktesh Pandey<\/a>, NC A&T University<\/p>\n Project Description:<\/strong>\u00a0This project will develop data-driven vehicle routing algorithm with a particular class of problem dealing with 1) time-dependent transportation network, 2) spatial-temporal map dependencies, and 3) a priori time-varying least travel time.<\/p>\n The primary objective of this project is to reduce the travel time of the in-vehicle navigation system for the North Carolina highway in a simulation environment. This research will be used to inform more accurate travel information for travelers and a better navigation option with less uncertainty, to help NCDOT Traffic Management Unit and Traffic Systems Operations staff\u2019s ability to understand the data adaptability in North Carolina, and to provide a tool for use in handling existing and new sensor data. NCDOT will be capable of handling an unprecedented amount of data significantly enhancing reliability of travel time information.<\/p>\n The results of this research will be visualization system to estimate and predict short-term and long-term travel time by links and paths levels in North Carolina, through spatiotemporal correlation map.<\/p>\n Research Impact:<\/strong>\u00a0The results of this project will provide benefits at multiple levels. At the local level, the CAV data will provide up-to-date information on the travel time that can be used by traffic operator and travelers. At the state level, CAV data-driven navigation algorithm directly and instantly benefits traveling citizens by reducing their travel time. A particular measurement of interest will be a travel time reduction by quantifying link and path travel time uncertainty in transportation network.<\/p>\n","protected":false},"excerpt":{"rendered":" Intelligent Data Exploration & Analysis for New & Existing Transportation Technology (IDEANETT) Focus:\u00a0Integration of CAV fleet data with NCDOT data infrastructures to create a publicly beneficial travel time visualization and information system Co-PIs:\u00a0Dr. Hyoshin (John) Park, NC A&T University, and Dr. Venktesh Pandey, NC A&T University Project Description:\u00a0This project will develop data-driven vehicle routing algorithm […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":337,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-95","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages\/95","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\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/comments?post=95"}],"version-history":[{"count":7,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages\/95\/revisions"}],"predecessor-version":[{"id":684,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages\/95\/revisions\/684"}],"up":[{"embeddable":true,"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/pages\/337"}],"wp:attachment":[{"href":"https:\/\/www.tsap.unc.edu\/index.php\/wp-json\/wp\/v2\/media?parent=95"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}