Detection and Classification of Anomalies in Road Traffic using Spark Streaming

Detection and Classification of Anomalies in Road Traffic using Spark Streaming

Road traffic control has been around for a long time to guarantee the safety of vehicles and pedestrians. However, anomalies such as accidents or natural disasters cannot be avoided. Therefore, it is important to be prepared as soon as possible to prevent a higher number of human losses. Nevertheles...

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Bibliographic Details
Main Author: Consuegra Rengifo, Nathan Adolfo
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2018
Subjects:
anomaly detection
traffic flow
accidents
weather
decision tree
random forest
logistic regression
streaming.
anomalitetsdetektering
trafikflöde
olyckor
väder
beslutsträd
slumpmässig skog
logistisk regression
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238733

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http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238733

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