Integration of Alexa Auto and vehicle diagnostic protocols: towards a smart automotive ecosystem

Alexis Javier Villacis Ninasunta and Mariana Pinargote Basurto

SAP Transport, Mobility & Society, 2025

Abstract: Introduction: The study described how the advancement of digital technologies transformed the automotive industry and drove the adoption of in-cabin voice assistants. It presented Alexa and the Echo Auto device as versatile alternatives to factory solutions, thanks to their synchronization with phones and personalization through skills. He argued that, by integrating with diagnostic standards such as OBDII and the CAN network, such assistants offered immediate access to critical vehicle parameters, reduced driver distraction and facilitated more natural interaction for entertainment, communication and control. Development: The work reviewed the state of the art and reports that associated the assistants with less visual and manual load and better reaction times. It described integrated ecosystems (MBUX, CarPlay, Android Auto) and external alternatives such as Echo Auto and compatible devices. He detailed the architecture of Alexa and its voice processing pipeline, from audio capture to response synthesis, and presented the development of skills by blocks with Voiceflow and by textual programming through Alexa Skills Kit. He explained the role of IoT platforms, with emphasis on Blynk, to orchestrate data and control devices. Characterized OBDII - connector, protocols and interface - and CAN protocol - topology, speeds, frames and termination requirements - as a basis for extracting and transmitting reliable vehicle data to cloud services and assistance applications. Conclusions: The research argued that linking Alexa Auto to the in-vehicle computer was feasible and strategic. The convergence between voice assistants, IoT, OBDII and CAN enabled timely diagnostics, hands-free interaction and informed decisions. It was concluded that this integration elevated road safety, optimized car lifespan, and paved the way for smarter vehicle ecosystems and, going forward, an orderly transition to autonomous and sustainable driving.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:cwf:tmsart:tms2025210

DOI: 10.56294/tms2025210

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