Method and control arrangement in a transportation surveillance system, monitoring a system comprising autonomous vehicles, for assisting a human operator in predictive decision making

Method and control arrangement in a transportation surveillance system, monitoring a system comprising autonomous vehicles, for assisting a human operator in predictive decision making

Method (400) and control arrangement (110) of a transportation surveillance system (100), monitoring a transportation system (300) comprising autonomous vehicles (105), for assisting a human operator in decision making concerning the monitored transportation system (300). The method (400) comprises...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Hjorth, Lars, Insulander, Martin, Malinen, Samuel, Borgvall, Jonathan, Castor, Martin
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
CONTROLLING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PERFORMING OPERATIONS
PHYSICS
REGULATING
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
TRANSPORTING
VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:Method (400) and control arrangement (110) of a transportation surveillance system (100), monitoring a transportation system (300) comprising autonomous vehicles (105), for assisting a human operator in decision making concerning the monitored transportation system (300). The method (400) comprises determining (401) current state of the transportation system (300); obtaining (402) historical data of the transportation system (300), relevant for the determined (401) current state of the transportation system (300); predicting (403) an anomaly (160) within the transportation system (300) at a future point in time, based on the determined (401) current state and the obtained (402) historical data of the transportation system (300); and outputting (410) an alert to the human operator, concerning the predicted (403) anomaly (160).