Abstract
Currently most of the urban transportation systems are planned to be car-centered. Yet very little is known about the research on slow transportation (also called non-motorized transportation), even though it takes account for more than 50% of the whole urban transportation volume and creates more interactions with passengers than urban fast transportation. Residential community is a typical representative of slow transportation environments, and its mobility should also be valued. As one of the biggest future trend, driverless vehicle will have a great impact on the field of transportation and it was also found to be more likely to perform well at slow transportation environments. So how to build up a community slow transportation service system based on driverless vehicle is the key purpose of this research. In this paper, we will introduce the general design process of the service system and represent some simple design results. Meanwhile, we have concluded some design summary and designing approach: (1) three main design types of community slow transportation service, (2) a Kano demand model-based service optimization tool, and (3) the slow transportation service design architecture.
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Shi, J., Zheng, R. (2020). Community Slow Transportation Service System Based on Driverless Vehicle. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-20454-9_35
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DOI: https://doi.org/10.1007/978-3-030-20454-9_35
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