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Investigating and modeling traffic collision frequency and possibility for Edmonton Open Access


Other title
Traffic collision
Motor vehicle collision information system
Collision prediction model
Type of item
Degree grantor
University of Alberta
Author or creator
Shaheed, Gurjeet Singh
Supervisor and department
Qiu, Zhi-Jun (Tony) (Department of Civil and Environmental Engineering)
Examining committee member and department
Dobbs, Bonnie M. (Department of Family Medicine)
El-Rich, Marwan (Department of Civil and Environmental Engineering)
Qiu, Zhi-Jun (Tony) (Department of Civil and Environmental Engineering)
Department of Civil and Environmental Engineering

Date accepted
Graduation date
Master of Science
Degree level
This study was conducted to investigate and model the high traffic collision frequencies in the City of Edmonton, Canada. Consistent collision spikes were observed on Fridays compared to the other days of the week. The first Negative Binomial model was formulated to establish a relation between the collision frequency and the independent variables. The second Multinomial logistic regression model was formulated to examine the probability of age categories and gender involved in collision for each day of week considering collision has happened. The proposed collision prediction models were found good. They could provide a realistic estimate of expected collision frequency and properties of collision for a particular day as a function of number of hours of daylight, number of hours of snowfall, visibility, age and gender. It is hoped that predicted collision frequency will help the decision maker to quantify traffic safety of Edmonton and improve the scenario.
License granted by Gurjeet Shaheed ( on 2011-02-01T17:19:07Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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File title: Chapter 2: Background
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