Details
Record ID
stcompfyp:127
Title
Graph embeddings for predicting traffic accident black spots
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Lo, Ka Ho (group member)
Cheng, Wang To (group member)
Cheung, Hang Tak (group member)
Lui, Kwok Fai Andrew 呂國輝 (supervisor)
School / Unit
School of Science and Technology (S&T) 
Program
Bachelor of Computing with Honours in Internet Technology
Date
2021
Abstract
The aim of the project is to use observational data to build a deep machine learning model to model the relation between the accident proneness and road network structure design, road installations, and road local properties. In conclusion, this model provides a basis for improving the conditions of traffic facilities and enhancing traffic safety.
Type of Resource
PDF
Language
English
Physical Description
5 pages.
Awards
1st runner-up, Final Year Project (FYP) Competition (18th), 2021 (IEEE(HK) Computational Intelligence Chapter, Institute of Electrical and Electronics Engineers Hong Kong Section)
Keywords
traffic safety; computer algorithms; deep learning (machine learning)
Access Eligibility
Public Access
Permanent Link