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Vehicle control systems have recently emerged to provide drivers with safe driving and warnings of potential danger. Such systems are capable of determining the risk of collision with other vehicles and obstacles based on information from on-board sensors. These systems are often composed of many kinds of sensors whose data must be handled by on-board applications. Reusability and substitutability of these applications may be affected by data formatting dependencies, and the design and development of such systems is usually complex. In this study, we propose data management methods to reduce application complexity in vehicle control systems. To verify the feasibility of the methods, we implemented applications on the two types of data management methods: a database management method and a data stream management method. Both implementations were evaluated and discussed, we concluded that various queries were required by combining these two methods for vehicle control systems.