Developing transferable real-time crash prediction models for highly imbalanced data

The advent of Intelligent Transport Systems (ITS) has facilitated a shift towards proactive safety measures in which a crash occurrence is anticipated and prevented before it happens under the proactive safety approach. Given the capability to identify pre-crash conditions, real-time crash predictio...

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Bibliographic Details
Main Author: Cheuk Ki Man
Format: Default Thesis
Published: 2022
Subjects:
Other built environment and design not elsewhere classified
imbalanced data sets
Deep Neural Network (DNN)
Generative Adversarial Networks (GANs)
Transfer learning
artificial intelligence
Traffic engineering
Safety measures
Built Environment and Design not elsewhere classified
Online Access:https://dx.doi.org/10.26174/thesis.lboro.19778893.v1
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https://dx.doi.org/10.26174/thesis.lboro.19778893.v1

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