Using Novel Machine Learning Algorithms to Generate Bayesian Networks for Incident 1 Duration Prediction 2 3 Kaan Ozbay, Ph.D. (Corresponding Author) 4 Professor, 5 Department of Civil and Environmental Engineering, 6 Rutgers, The State University of New Jersey, 7 623 Bowser Road, Piscataway, NJ 08854 USA, 8 Tel: (732) 445-2792 9 Fax: (732) 445-0577 10 e-mail: kaan@rci.rutgers.edu 11 12 Sami Demiroluk, M.Sc. 13 Graduate Research Assistant, 14 Department of Civil and Environmental Engineering, 15 Rutgers, The State University of New Jersey, 16 623 Bowser Road, Piscataway, NJ 08854 USA, 17 Tel: (732) 445-4012 18 Fax: (732) 445-0577 19 e-mail: dsami@eden.rutgers.edu 20 21 Pushkin Kachroo, Ph.D. 22 Professor and Co-Director, 23 Transportation Research Center, 24 University of Nevada Las Vegas, 25 4505 S. Maryland Pkwy, 26 Las Vegas, NV 89154-4026 27 28 Neveen Shlayan 29 Graduate Research Assistant, 30 Transportation Research Center, 31 University of Nevada Las Vegas, 32 4505 S. Maryland Pkwy, 33 Las Vegas, NV 89154-4026 34 35 36 37 38 Word count: 39 Text: 5,498 40 Tables: 4 x 250 = 1,000 41 Figures = 4 x 250 = 1,000 42 Total: 7,498 43 Submission Date: August 1, 2009 44 45