CVEN 626 HIGHWAY SAFETY Instructor: Dominique Lord Room 301A (DLEB)

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Presentation transcript:

CVEN 626 HIGHWAY SAFETY Instructor: Dominique Lord Room 301A (DLEB) Phone: (979) 458-3949 d-lord@tamu.edu Fall 2017

TEXTBOOK Required Text: Highly Recommended Textbooks: Road Safety Manual (2003) World Road Association. You can find the CD version of the manual at the library. Please install the CD-ROM on your computer. (http://www.piarc.org/en/knowledge- base/road-safety/safety-manual/) Highly Recommended Textbooks: AASHTO (2010) Highway Safety Manual. 1st Ed. American Association of State Highway and Transportation Officials. Washington, D.C. Hauer, E. (1997) Observational Before-After Studies in Road Safety: Estimating the Effect of Highway and Traffic Engineering Measures on Road Safety. Elsevier Science Ltd, Oxford. Hilbe, J.M. (2011) Negative Binomial Regression. 2nd Ed. Cambridge University Press, Cambridge, UK.

TEXTBOOK Other relevant material: WHO (2015) Global status report on road safety. World Health Organization, Geneva. (http://www.who.int/violence_injury_prevention/road_safet y_status/2015/en/) Hauer, E., (2015) The art of regression modeling in road safety. Springer, USA. Cameron, A.C., and P.K. Trivedi (2013) Regression Analysis of Count Data. 2nd Ed., Cambridge University Press, Cambridge, U.K. Elvik, R. and T. Vaa (2009) Handbook of Traffic Safety Countermeasures. Elsevier Science. 2nd Ed., Amsterdam, The Netherlands. WHO (2004) World Report on Road Traffic Injury Prevention. Eds. Peden et al. World Health Organization, Geneva. (http://www.who.int/violence_injury_prevention/publication s/road_traffic/world_report/en/)

ACCESS TO MATERIAL https://ceprofs.civil.tamu.edu/dlord/CVEN_636_Co urse_Material.htm

GRADING Assignments: 40% (6-8) Term Paper: 40% (due Dec. 5th, 2017; presentation on Dec. 4th) Class Participation: 20% Grading Scheme: A = 90% and above, B = 80 to 89%, C = 70 to 79%, D = 60 to 69%, F = below 60%

TOPICS COVERED Introduction: What is Traffic Safety? (1 lecture) Status around the Word & Human Factors in Traffic Safety (1 lecture) Economic Costs of Crashes and Value of Life (1 lecture) Crash Data Collection and Database Management (1 lecture) Elements of Statistics and Crash Count Distributions (1 lecture) Exploratory Analysis of Crash Data (1 lecture) Regression Analysis of Count Data and Development of Statistical Models (2 lectures) Before-After Studies (2 lectures) Network Screening and Diagnosis (Identification of Hazardous Sites) (1 lecture) Study Design (1 lecture) Crash Modification Factors & HSM (Only if time permits)

What is safety? Fall 2017