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Ivanchev, Jordan; Aydt, Heiko; Knoll, Alois
Routing Choice Information Maximising Robust Optimal Sensor Placement Against Variations of Traffic Demand Based on Importance of Nodes
This paper defines the measure of importance for a node (intersection) in a transportation network, based on its topology and traffic demand. Consequentially the measure is used in order to define and solve the sensor placement problem that maximises the information gain regarding agents’ routing choices by sensing the most uncertain areas in the system. It is demonstrated that utilising the strategy for placing the sensors described in this work makes the performance robust against short and l...    »
Sensor Placement, Turning Probabilities, Placement Robustness, Information Maximisation
Contracting organization:
Technical University Munich