The paper presents how the knowledge-based approach can be fallowed to integrate alarm correlation functionality into traffic monitoring and control systems. To this aim the Alarm Correlation Module (MCA) integrated in the System for Automatic Monitoring of Traffic (SAMOT) will be described. According to traffic operator expertise and knowledge, the MCA Analyzes, fitters and correlates traffic flow anomalies detected by standard Video Image Processing hoards. As a consequence of anomaly correlation, the MCA creates adequate Image sequences to be shown on operators' Close-Circuit TVs and displays adequate messages on Variable Message Panels to keep motorists informed. The MCA knowledge base implements a model of traffic flow concerning the most relevant traffic patterns and taking into account time and space dependence of detected traffic anomalies. The MCA Is a successful example of the knowledge-based approach applied to traffic monitoring and control that, after a 6 months trial period, Is now functioning on A7 and A10 Italian highways
Bandini, S., Bogni, D., Manzoni, S. (2002). Knowledge-based alarm correlation in traffic monitoring and control. In IEEE 5th International Conference on Intelligent Transportation Systems (ITSC02) (pp.702-707). IEEE [10.1109/ITSC.2002.1041304].
Knowledge-based alarm correlation in traffic monitoring and control
BANDINI, STEFANIA;MANZONI, SARA LUCIA
2002
Abstract
The paper presents how the knowledge-based approach can be fallowed to integrate alarm correlation functionality into traffic monitoring and control systems. To this aim the Alarm Correlation Module (MCA) integrated in the System for Automatic Monitoring of Traffic (SAMOT) will be described. According to traffic operator expertise and knowledge, the MCA Analyzes, fitters and correlates traffic flow anomalies detected by standard Video Image Processing hoards. As a consequence of anomaly correlation, the MCA creates adequate Image sequences to be shown on operators' Close-Circuit TVs and displays adequate messages on Variable Message Panels to keep motorists informed. The MCA knowledge base implements a model of traffic flow concerning the most relevant traffic patterns and taking into account time and space dependence of detected traffic anomalies. The MCA Is a successful example of the knowledge-based approach applied to traffic monitoring and control that, after a 6 months trial period, Is now functioning on A7 and A10 Italian highways
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