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The paper describes the components of an envisioned open source framework that supports several stages in the model-based development of two- and three-wheelers software controls. The proposed solution supports the runtime execution on an OSEK-compatible [8] real-time operating system for multicore platforms. The framework consists of a modeling and simulation tool (including hierarchical state machines) and a code generator for the development of the functional model of controls and the definition of their task implementation; an OSEK/AUTOSAR operating system and device driver stack; OS and I/O configuration tools. The platform has been released open-source under an industry-friendly license. Our framework is currently in use for the development of innovative two-three wheelers control systems at Piaggio. In this paper we describe the experience matured in the application development, the benefits and current limitations of the approach.

The advent of active-safety and safety-critical functions, including by-wire systems, and the interdependency of these functions is rapidly changing the scenario of automotive systems. OEMs need to understand and control functional and timing properties, including end-to-end latencies of distributed computations. The evaluation of the timing behavior can be very complex, considering the communication and synchronization model between application tasks, middleware, and network drivers, and the scheduling choices for tasks and messages. In this view, the timing behavior of CAN messages is of very high importance. In this paper we present some of the challenges in the evaluation of CAN message latencies.

Emerging technologies provide opportunities for the implementation of advanced car features enhancing the safety and the comfort of the driver, but at the same time, the correct implementation of these features imposes new design challenges on electronics, software, and controls designers due to the large number of in-vehicle computers and serial data communications. In this paper, we propose a comprehensive view of methods and tools that support the designers in facing such challenges. We propose an approach for quantitative architecture exploration based on the scoring of the possible alternatives via metrics of interest, and we illustrate some early results with a case study example.