Driverless vehicles have brought dramatic changes in many aspects of transportation, as an irresistible trend. And there was also abundant research on transportation service design based on driverless vehicles. However, specific to slow transportation, studies on driverless vehicle-based service design are few. In this paper, we selected four typical using contexts of low-speed environments: campus, airport, communities far from city center, and industrial park. And then we discovered the pain points and common demands of urban low-speed environments, as well as the characteristics of driverless vehicles, it was found that, in the guidance of service system design, driverless vehicle can address these problems of slow transportation. We used the logic of service system design as important approach to develop driverless vehicle-based slow transportation service system. This slow transportation service platform took an in-vehicle smart system as the control system. Based on this smart system, mobile phone app and in-vehicle AR screen, this platform could satisfy the pain points and demands of urban slow transportation. Moreover, this driverless vehicle-based urban slow transportation service platform could integrate people, environment and vehicles coherently, to meet users’ needs, improve service process efficiency and make sustainable influence on environment.
CITATION STYLE
Shi, J., & Sun, X. (2018). Driverless vehicle-based urban slow transportation service platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10912 LNCS, pp. 358–370). Springer Verlag. https://doi.org/10.1007/978-3-319-92252-2_29
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