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N2L 3G1
Phone: (519) 888-4567
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Candidate: Pouya Mehrannia
Title: A temporospatial context-aware vehicular crash-prediction model
Date: October 17, 2018
Time: 3:00 PM
Place: EIT 3145
Supervisor(s): Basir, Otman - Moshiri, Behzad (Adjunct)
Abstract:
With the demand for more vehicles increasing, road safety is becoming a growing issue. Much of the empirical research on road safety and accident prediction utilize statistical models that capture limited aspects or contributors. While some risk factors contribute more frequently in the occurrence of a road accident, the importance of driver behavior, temporospatial factors, and real-time traffic dynamics have been underestimated. The objective of this study is to establish a crash prediction model (CPM) based on historical accident data, driver behavior, and environmental and location data. The proposed CPM predicts traffic accidents by incorporating machine learning and data analytics techniques to identify driving patterns and other risk factors associated with potential vehicle crashes. These techniques include clustering, association rule mining, data fusion, and Bayesian networks. The results obtained from the preliminary work performed based on the national collision database of Canada show that valuable insights can be gleaned from the collision databases. Association rule mining uncovers the underlying rules in the collision databases and data segmentation eliminates the effect of hidden variables. These rules combined with a real-time processing of relevant crash contributors can pave the way for predicting crashes and their severity in real-time. A data fusion framework is proposed to enhance the model prediction accuracy by integrating pieces of evidence discovered from different datasets. It is conceivable that such prediction model will provide drivers crash likelihood warnings so as to prevent accidents in real-time.
University of Waterloo
200 University Ave W, Waterloo, ON
N2L 3G1
Phone: (519) 888-4567
Staff and Faculty Directory
Contact the Department of Electrical and Computer Engineering
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office.