This chapter looks at the innovative development and deployment of in-vehicle services to improve both the user experience and safety in automated minibuses, a critical component of future mobility-as-a-service (MaaS) ecosystems. With the rise of driverless public transport, ensuring the safety and comfort of passengers becomes a primary concern. The chapter discusses the integration of cutting-edge artificial intelligence (AI) and deep learning technologies to address these challenges, focusing on services such as enhanced safety and confidence, automated passenger presence monitoring, and intelligent feedback systems. It outlines the AVENUE project’s initiatives to create an AI-powered framework that not only promotes the widespread adoption of automated minibuses but also addresses social and personal safety concerns in the absence of a human driver. The services discussed aim to replace the driver’s monitoring and interaction functions with technology-enabled solutions, thereby maintaining service quality and promoting passenger confidence. Using real-world deployments and pilot studies, the chapter illustrates how these technological interventions contribute to the overall efficiency, safety, and acceptance of automated vehicles in urban environments and provide valuable insights into the future of automated public transport systems.
In-Vehicle Services to Improve the User Experience and Security when Traveling with Automated Minibuses
Contributions to Management Science
2024-07-14
25 pages
Article/Chapter (Book)
Electronic Resource
English
Springer Verlag | 2024
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