Award Date
8-2011
Degree Type
Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
Department
Electrical and Computer Engineering
First Committee Member
Pushkin Kachroo, Chair
Second Committee Member
Masha Wilson
Third Committee Member
Rama Venkat
Graduate Faculty Representative
Monika Neda
Number of Pages
373
Abstract
Traffic Safety has always been one of the major issues of concern in United States. Every year, stringent efforts are made by the national agencies and safety offices to uplift the traffic safety standards and build systems which can guide them in policy making, reducing crashes and routing the financial resources in an optimal direction. This thesis studies the traffic safety from three different angles: modeling, analysis and visualization. In the beginning, these three components are explored in the domain of Injury Severity. Later on, the focus is shifted towards the Traffic Safety related to Safety Belts. Factors and models of the Injury Severity are explored and their visualizations are interpreted. The details of the Daytime Safety Belt Usage Surveys before and after the Click It or Ticket Mobilization (CIOT) in Nevada are provided. New iPhone and Windows Mobile based softwares are developed to facilitate the data collection process in Daytime Safety Belt Usage Surveys. Further, a comparative speed and accuracy analysis is performed between five data collection templates to corroborate the efficiency of the designed iPhone and Windows Mobile softwares. These efficient softwares form an important ingredient of a proposed feedback motivated framework for designing the Safety Belt Campaigns. The proposed feedback framework includes a Suspectible-Exposed-Infected-Carrier-Recovered-Totally Immune (SEICRM) model for studying the diffusion of campaign information among the humans. The foundation of the SEICRM model comes from deterministic epidemiological models of infectious diseses. Additionally, the details of the iPhone application designed for Daytime Safety Belt Usage Surveys is provided, with fundamental concepts from the basics that can be quickly picked up even by novice developers. Finally, an online interactive data visualization software is developed using Adobe Flex, PHP, MySql and Google Maps API for Flash. A glimpse is also shown of the Adobe Flex programming, the backbone behind interactive data visualization software.
Keywords
Advertising; Public service; Automobiles — Seat belts; Safety education; Traffic accidents – Prevention; Traffic safety
Disciplines
Electrical and Electronics | Engineering | Transportation | Transport Phenomena
File Format
Degree Grantor
University of Nevada, Las Vegas
Language
English
Repository Citation
Lakhanpal, Puneet, "Traffic safety: Modeling, analysis and visualization" (2011). UNLV Theses, Dissertations, Professional Papers, and Capstones. 1235.
http://dx.doi.org/10.34917/2817755
Rights
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