{"id":2194,"date":"2019-08-15T18:52:43","date_gmt":"2019-08-15T22:52:43","guid":{"rendered":"http:\/\/johnpark.club\/?p=2194"},"modified":"2019-08-15T18:52:43","modified_gmt":"2019-08-15T22:52:43","slug":"predictive-traffic-management","status":"publish","type":"post","link":"https:\/\/fs.wp.odu.edu\/h1park\/2019\/08\/15\/predictive-traffic-management\/","title":{"rendered":"COOPERATIVE TRAFFIC MONITORING"},"content":{"rendered":"\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"497\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/transportation_logo-3.png?w=500\" alt=\"\" class=\"wp-image-2631 size-full\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/transportation_logo-3.png 500w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/transportation_logo-3-300x298.png 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/transportation_logo-3-150x150.png 150w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-small-font-size\">Travelers\u2019 rationality in anticipatory online emergency response<em>.<\/em>Sole PI Park (NCA&amp;T) Sponsor: USDOT <em>Tier 1\u00a0<\/em>CATM 2\/2018 \u2013 8\/2019  <strong><a href=\"https:\/\/www.ncat.edu\/cobe\/transportation-institute\/catm1\/files\/7-TravelersRationalityAbstract.pdf\">Abstract<\/a> <\/strong> <strong><a href=\"https:\/\/www.ncat.edu\/cobe\/transportation-institute\/catm1\/files\/7-TravelersRationality-ExhibitF.pdf\">Exhibit F<\/a> <\/strong>  <\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"1200\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_.png?w=1024\" alt=\"\" class=\"wp-image-2625 size-full\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_.png 1200w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-300x300.png 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-1024x1024.png 1024w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-150x150.png 150w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-768x768.png 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-600x600.png 600w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-945x945.png 945w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-small-font-size\">Deep Learning Software for Traffic State Prediction. PI, Co-PI Park (NCA&amp;T) Sponsor: NC Transportation Center of Excellence in Advanced Technology Mobility and Congestion. 8\/2020 \u2013 7\/2022.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"562\" height=\"338\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/pngjoy_gamecube-logo-nasa-jpl-logo-png-transparent-png_944977-3.png?w=562\" alt=\"\" class=\"wp-image-2640 size-full\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/pngjoy_gamecube-logo-nasa-jpl-logo-png-transparent-png_944977-3.png 562w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/pngjoy_gamecube-logo-nasa-jpl-logo-png-transparent-png_944977-3-300x180.png 300w\" sizes=\"(max-width: 562px) 100vw, 562px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-medium-font-size\">Information-theoretic Route Planning for Aerial and Ground Vehicles<em>. <\/em>2019 Visiting Professor Park (NCA&amp;T) Sponsor: NASA JPL Collaboration with Robotics Group PI Ono 5\/2019 \u2013 8\/2019 <strong><a href=\"https:\/\/johnpark.club\/information-theoretic-planning\/\">Abstract<\/a><\/strong><em>.<\/em><\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"116\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/vdot-logo-2018-400x116-2.png?w=400\" alt=\"\" class=\"wp-image-2639 size-full\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/vdot-logo-2018-400x116-2.png 400w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/vdot-logo-2018-400x116-2-300x87.png 300w\" sizes=\"(max-width: 400px) 100vw, 400px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-medium-font-size\">Roadside Truck Placard Readers for Advanced Notice and Response at Safety- Critical Facilities. Co-PI Park (NCA&amp;T) PI: Alden (VTTI) VTRC 114591, Sponsor: VDOT 11\/2018 \u2013 9\/2019\u00a0 <strong><a href=\"https:\/\/trid.trb.org\/view\/1567112\">Abstract<\/a><\/strong> <strong><a href=\"http:\/\/vtrc.virginiadot.org\/ProjDetails.aspx?Id=669\">VTRC WEBSITE<\/a><\/strong>. <\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"1200\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_.png?w=1024\" alt=\"\" class=\"wp-image-2625 size-full\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_.png 1200w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-300x300.png 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-1024x1024.png 1024w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-150x150.png 150w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-768x768.png 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-600x600.png 600w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2020\/07\/1200px-seal_of_the_north_carolina_department_of_transportation.svg_-945x945.png 945w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-medium-font-size\">Advanced Traffic Analysis of Aerial Video Data<em>.<\/em> PI Park (NCA&amp;T), Co-PI: Yi (NCA&amp;T) Sponsor: NCDOT, 3\/2019 \u2013 8\/2019<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Research Output<\/h4>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Simulation-Based Optimization of Emergency Response Considering Rationality of Travelers<\/strong>, D. Waddell, N. Pugh, K. Shirzad,&nbsp;H. Park, Proceedings of the The 98th Annual Meeting of TRB2019, #19-05975, 2019.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1666\" height=\"2078\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28.png?w=821\" alt=\"\" class=\"wp-image-2355\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28.png 1666w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28-241x300.png 241w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28-821x1024.png 821w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28-768x958.png 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28-1231x1536.png 1231w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28-1642x2048.png 1642w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28-600x748.png 600w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/screenshot-2019-10-13-17.36.28-945x1179.png 945w\" sizes=\"(max-width: 1666px) 100vw, 1666px\" \/><\/figure>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Online Optimization with Look-Ahead for Freeway Emergency Vehicle Dispatching considering Availability<\/strong>, H. Park, D., Waddel, A. Haghani, Transportation Research Part C: Emerging Technologies, in Production.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"605\" height=\"600\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2016\/09\/capt7.jpeg?w=605\" alt=\"\" class=\"wp-image-932\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2016\/09\/capt7.jpeg 605w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2016\/09\/capt7-300x298.jpeg 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2016\/09\/capt7-150x150.jpeg 150w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2016\/09\/capt7-600x595.jpeg 600w\" sizes=\"(max-width: 605px) 100vw, 605px\" \/><\/figure>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Real-time crash prediction and avoidance under unexpected traffic congestion<\/strong>, H. Park, A. Haghani, M.A. Knodler, S. Samuel, Accident Analysis &amp; Prevention 112, 39-49, 2018<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"862\" height=\"816\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-2.png?w=862\" alt=\"\" class=\"wp-image-2357\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-2.png 862w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-2-300x284.png 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-2-768x727.png 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-2-600x568.png 600w\" sizes=\"(max-width: 862px) 100vw, 862px\" \/><\/figure>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Visualization-based Dynamic Dispatching of First Responders.D. Waddell<\/strong>, N. Pugh, H. Park. Proceedings of theThe 98th Annual Meeting of TRB2019, #19-05569, 2019.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1211\" height=\"743\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure4h.jpg?w=1024\" alt=\"\" class=\"wp-image-2361\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure4h.jpg 1211w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure4h-300x184.jpg 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure4h-1024x628.jpg 1024w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure4h-768x471.jpg 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure4h-600x368.jpg 600w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure4h-945x580.jpg 945w\" sizes=\"(max-width: 1211px) 100vw, 1211px\" \/><\/figure>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Prediction of Secondary Crash Likelihood considering Incident Duration using High Order Markov Model<\/strong>. N. Pugh, H. Park.&nbsp;Proceedings of the IEEE SoutheastCon 2019, Huntsville, AL, April 2019.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1472\" height=\"1177\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-3.png?w=1024\" alt=\"\" class=\"wp-image-2363\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-3.png 1472w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-3-300x240.png 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-3-1024x819.png 1024w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-3-768x614.png 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-3-600x480.png 600w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/picture1-3-945x756.png 945w\" sizes=\"(max-width: 1472px) 100vw, 1472px\" \/><\/figure>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Stochastic emergency response location model considering secondary incidents on freeways<\/strong>. H. Park.&nbsp;Ali Shafahi, Ali Haghani, IEEE Transactions on Intelligent Transportation Systems,&nbsp;17 (9), 2528-2540, 2016.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1678\" height=\"896\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/11.jpg?w=1024\" alt=\"\" class=\"wp-image-2366\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/11.jpg 1678w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/11-300x160.jpg 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/11-1024x547.jpg 1024w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/11-768x410.jpg 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/11-1536x820.jpg 1536w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/11-600x320.jpg 600w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/11-945x505.jpg 945w\" sizes=\"(max-width: 1678px) 100vw, 1678px\" \/><\/figure>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Real-time prediction of secondary incident occurrences using vehicle probe data<\/strong>. H. Park.&nbsp;Ali Haghani, Transportation Research Part C: Emerging Technologies, 70, 69\u201385, 2016.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1791\" height=\"1052\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure209.jpg?w=1024\" alt=\"\" class=\"wp-image-2367\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure209.jpg 1791w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure209-300x176.jpg 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure209-1024x601.jpg 1024w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure209-768x451.jpg 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure209-1536x902.jpg 1536w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure209-600x352.jpg 600w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure209-945x555.jpg 945w\" sizes=\"(max-width: 1791px) 100vw, 1791px\" \/><\/figure>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Stochastic Capacity Adjustment Considering Secondary Incidents<\/strong>. H. Park.&nbsp;Ali Haghani, IEEE Transactions on Intelligent Transportation Systems,&nbsp;17 (10), 2843 \u2013 2853,&nbsp;2016.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"743\" height=\"419\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure408.jpg?w=743\" alt=\"\" class=\"wp-image-2369\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure408.jpg 743w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure408-300x169.jpg 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure408-600x338.jpg 600w\" sizes=\"(max-width: 743px) 100vw, 743px\" \/><\/figure>\n\n\n\n<ul class=\"has-small-font-size\"><li><strong>Interpretation of Bayesian neural networks for predicting the duration of detected incidentsl<\/strong>. H. Park,&nbsp;Ali Haghani,&nbsp;Xin Zhang, Journal of Intelligent Transportation Systems, 20&nbsp;(4), 385-400, 2016.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1106\" height=\"1079\" src=\"http:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure312.jpg?w=1024\" alt=\"\" class=\"wp-image-2370\" srcset=\"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure312.jpg 1106w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure312-300x293.jpg 300w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure312-1024x999.jpg 1024w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure312-768x749.jpg 768w, https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2019\/10\/figure312-600x585.jpg 600w, 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PI, Co-PI Park (NCA&amp;T) Sponsor: NC Transportation Center of Excellence in Advanced Technology Mobility and Congestion. 8\/2020 \u2013 7\/2022. Information-theoretic Route Planning for Aerial and Ground Vehicles. 2019&hellip;<\/p>\n","protected":false},"author":26990,"featured_media":932,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wds_primary_category":0},"categories":[10,11,17,18],"tags":[],"jetpack_sharing_enabled":false,"jetpack_featured_media_url":"https:\/\/fs.wp.odu.edu\/h1park\/wp-content\/uploads\/sites\/33686\/2016\/09\/capt7.jpeg","_links":{"self":[{"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/posts\/2194"}],"collection":[{"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/users\/26990"}],"replies":[{"embeddable":true,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/comments?post=2194"}],"version-history":[{"count":0,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/posts\/2194\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/media\/932"}],"wp:attachment":[{"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/media?parent=2194"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/categories?post=2194"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/tags?post=2194"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}