Traffic monitoring is one of the core functions in a Traffic Management Center (TMC). It requires reliable traffic sensing equipment and communication links to provide the necessary inputs for TMC applications such as travel time and express lanes. These applications are supported by Intelligent Transportation Systems (ITS) deployments. ITS has a well-established system engineering (SE) process that has been continuously applied for several years. The maturity of the ITS-SE process allows the generalization of a high-level system architecture and implementation packages. Agencies can select these high-level architectural elements and develop regional deployment plans. At the core of the architecture is the traffic detection function. This function is allocated to a Traffic Sensor Subsystem (TSS). The degree of success of the TMC applications rely on the accuracy of the input data coming from the TSS. The level of detection accuracy may be influenced by diverse factors such as device technology, environment, installation methods, configuration management, and hardware-software interactions. An analysis approach was developed in a model-based engineering context considering requirements, architecture, and their respective association flows throughout the lifecycle of the vehicle detection system. Recommendations on corrective measures and maintenance practices are outlined as part of this initiative.