System Observability Analysis Based on Multiple Source Mixed Traffic Sensors

In order to study the optimal arrangement of the traffic sensors network, and then solve the observability problem of the traffic system, a novel observability analysis algorithm with multiple source sensors is proposed. Firstly, the traffic flow model of the urban freeway is proposed, and on the basis of the traditional output equation corresponding to a single kind of sensor, the existence of multiple types of traffic sensors is considered. The design method of the output matrix is developed and a set of output equations are constructed. Secondly, based on the output matrix, the system observability is studied and the optimal placement of sensors is completed for the coexistence of single type and multiple types of traffic sensors. Finally, the urban freeway is taken as an example to verify the proposed observability algorithm. The result shows that the method has wide coverage and strong representative, therefore this paper presented the system observability analysis algorithm has wide practicability, and is an important theoretical basis for the traffic sensor network optimization placement.