Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes.
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Dr. Dominique Lord is a professor and holder of the A.P. and Florence Wiley Faculty Fellowship in the Zachry Department of Civil and Environmental Engineering at Texas A&M University. Over the last 27 years, Dr. Lord has conducted numerous research studies in the United States, Canada, and across the world in highway design and safety. Dr. Lord's primary interests are conducting fundamental research on accident analysis methodology, new and innovative statistical methods for modeling motor vehicle collisions, and before-after evaluation techniques. He has extensive experience in data analysis techniques and developed new tools that have been used by engineers and scientists across the world. His other research interests include problems associated with the crash data collection process, safety audits, and traffic flow theory. He has had more than 150 papers published in peer-reviewed journals and more than 140 papers presented at international conferences with a peer-reviewed process.
Dr. Xiao Qin is the Lawrence E. Sivak '71 Professor in the Department of Civil and Environmental Engineering and Director of the Institute for Physical Infrastructure and Transportation (IPIT) at the University of Wisconsin-Milwaukee, USA. Dr. Qin has authored over 150 refereed journal articles, conference proceedings, and technical reports, covering the areas of highway safety, traffic operations, and GIS applications in Transportation. His research has been instrumental in identifying critical safety issues in transportation systems and addressing them using effective methodologies. He has conducted extensive research to support decision making in safety project planning and development for state and local agencies and given safety lectures in several universities. He is an Associate Editor of the Journal of Transportation Safety & Security, Journal of Urban Lifeline, and serves on the editorial board of Accident Analysis and Prevention. He received his Ph.D. in Civil and Environmental Engineering from the University of Connecticut.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. 500 pp. Englisch. N° de réf. du vendeur 9780128168189
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