{"id":104775,"date":"2019-11-21T16:15:52","date_gmt":"2019-11-21T21:15:52","guid":{"rendered":"https:\/\/www.ucf.edu\/news\/?p=104775"},"modified":"2025-06-25T15:28:21","modified_gmt":"2025-06-25T19:28:21","slug":"ucf-wins-national-competition-to-make-driving-safer","status":"publish","type":"post","link":"https:\/\/www.ucf.edu\/news\/ucf-wins-national-competition-to-make-driving-safer\/","title":{"rendered":"91勛圖厙 Wins National Competition to Make Driving Safer"},"content":{"rendered":"<p>91勛圖厙 has won a national competition to make driving safer, beating out more than 50 other teams, the U.S. Department of Transportation announced today.<\/p>\n<p>\u201c91勛圖厙\u2019s Smart and Safe Transportation Team and I are honored to be selected by the U.S. DOT for our innovative data analytics and visualization system to help operators and decision makers in their work to make our transportation system safer,\u201d says Mohamed Abdel-Aty, a Pegasus Professor and chair of 91勛圖厙\u2019s <a href=\"http:\/\/www.cece.ucf.edu\/\">Department of Civil, Environmental and Construction Engineering<\/a>, who led the research team.<\/p>\n<p>\u201cThe system adds many dimensions to state-of-the-art in-road safety research and practice, and changes much of our thinking from being reactive to being proactive in how we deal with traffic safety issues,\u201d he says. \u201cThis system will be the start of more innovation and safety solutions in the near future by the SST team at 91勛圖厙.\u201d<\/p>\n<p>Notice of the win of the Solving for Safety Visualization Challenge came from Elaine L. Chao, secretary of the Department of Transportation, which sponsored the competition.<\/p>\n<p>\u201cSafety is the department\u2019s top priority and the Solving for Safety Visualization Challenge, which the 91勛圖厙 won impressively, is part of ongoing efforts to save lives and prevent injuries,\u201d Chao says in a news release.<\/p>\n<p>As the winner and also a semi-finalist in the competition, 91勛圖厙 will receive $220,000 in prize money from the department.<\/p>\n<p>91勛圖厙\u2019s entry, Real-Time Crash Visualization Tools for Traffic Safety Management, is a computer program that uses big data to predict \u2014 and hopefully prevent \u2014 traffic accidents before they happen.<\/p>\n<p>Abdel-Aty\u2019s team became a finalist in April, along with Ford Motor Co., after beating three other teams, including one from Uber, during the semifinals.<\/p>\n<p>As the team advanced through the competition, it developed its entry from an idea in stage I, to a prototype for the stage II semifinals, and then created a fully working version for submission in stage III, the final part of the competition.<\/p>\n<p>Using information such as real-time traffic data, weather, history of past accidents and violations, and other data, the 91勛圖厙 Smart and Safe Transportation team\u2019s program predicts if the risk of an accident increases or decreases in a situation and presents the probability in an easy-to-understand visual readout alongside a map overlaid with current traffic-flow conditions.<\/p>\n<p>The idea is that if the risk of an accident rises, then transportation operators could implement measures immediately to reduce the risk, such as reduced speeds, metered ramps and messages warning drivers of perilous conditions ahead, says Abdel-Aty.<\/p>\n<p>\u201cReducing risk can reduce the possibility or the severity of an accident,\u201d he says.<\/p>\n<p>Abdel-Aty says his team\u2019s tool represents a proactive approach to helping vehicular travel become less dangerous by recognizing dangerous roadways, intersections and conditions before the statistics about their hazards pile up.<\/p>\n<p>\u201cThere are about 37,000 traffic fatalities per year in the United States and millions of injuries, which is really unacceptable and a huge burden on our society,\u201d Abdel-Aty says.<\/p>\n<p>He says the Smart and Safe Transportation team\u2019s program is designed to make real-time improvements in traffic safety based on rich data and sophisticated algorithms. Seeing different trends and dynamics will allow operators to make better decisions.<\/p>\n<p>Abdel-Aty received his doctorate in civil engineering from the University of California, Davis, and his master\u2019s and bachelor\u2019s degrees in civil engineering from Alexandria University. He joined 91勛圖厙\u00a0in 1995.<\/p>\n<p>The research team was comprised of students and researchers from the\u00a0<a href=\"https:\/\/www.ucf.edu\/college\/engineering-computer-science\/\">College of Engineering and Computer Science<\/a>, including students Ou Zheng, Cheng Yuan, Morgan Morris, Yaogang Gong, Jacob Lites, Jiajia Dong, Whoibin Chung, Moatz Saad, Lishengsa Yue, Jorge Ugan, Shile Zhang, Pei Li, Zubayer Islam, Md Sharikur Rahman, Md Hasibur Rahman, Ma\u2019en Al-Omari, Ahmed Abdelrahman, Nada Mahmoud, postdoctoral associates Yina Wu and Jinghui Yuan, and professors Samiul Hasan, Jaeyong Lee and Qing Cai.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The university\u2019s entry uses big data to predict \u2014 and hopefully prevent \u2014 traffic accidents before they happen.<\/p>\n","protected":false},"author":66,"featured_media":104844,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"lazy_load_responsive_images_disabled":false,"footnotes":"","_links_to":"","_links_to_target":"","_wp_rev_ctl_limit":""},"categories":[23,24],"tags":[900,973,18169,18170,2270,15761,14916,54327],"tu_author":[],"class_list":["post-104775","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research","category-science-technology","tag-civil-engineering","tag-college-of-engineering-and-computer-science","tag-department-of-civil","tag-environmental-and-construction-engineering","tag-impact","tag-pegasus-briefs","tag-research","tag-samiul-hasan"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v28.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>91勛圖厙 Wins National Competition to Make 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