Detecting danger in roads: an immune-inspired technique to identify heavy goods vehicles incident hot spots

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Detecting danger in roads: an immune-inspired technique to identify heavy goods vehicles incident hot spots

We report on the adaptation of an immune-inspired instance selection technique to solve a real-world big data problem of determining vehicle incident hot spots. The technique, which is inspired by the Immune System self-regulation mechanism, was originally conceptualised to eliminate very similar in...

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Bibliographic Details
Main Authors:	Figueredo, Grazziela P., Triguero, Isaac, Mesgarpour, Mohammad, Maciel Guerra, Alexandre, Garibaldi, Jonathan M., John, Robert
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2017
Subjects:	Hot Spots Road incidents Instance selection Telematics Big Data Artificial Immune Systems
Online Access:	https://eprints.nottingham.ac.uk/44196/

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