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Predicting Severity of Road Traffic Congestion using Semantic Web Technologies

Published on Jul 30, 20141920 Views

Freddy Lecue

ESWC 2014 - Crete

Related categories

Big DataSemantic Web

Chapter list

Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies00:00
Socio‐economic Context00:13
Traffic Management Systems (1)02:40
Traffic Management Systems (2)03:02
Why Seman'c Web Technologies ?04:51
Dublin City Context07:56
STAR‐CITY: Semantic Traffic Analy'cs and Reasoning for CITY09:15
Predictive Reasoning in STAR‐CITY09:46
Dublin City Context10:47
Challenges and System Architecture11:10
Handling Data Variety12:48
Handling Data Variety – Example15:14
Reasoning on Multiple Streams (1)15:45
Reasoning on Multiple Streams (2)18:03
Reasoning on Multiple Streams (3)18:44
Scalable and Consistent Prediction19:34
Dublin City Context19:58
Live Experimentation (Scalability)20:23
Live Experimentation (Accuracy)20:48
Lessons Learned from Dublin Case21:02
In‐Use Accomplishments22:10