Abstract
This paper proposes a prediction model with driver’s personal parking preferences for vehicle parking in parking lots. A parking preference adopted in the model involves not only parking fee, but also time required for parking, space waiting, and destination to the space allocated. This model advances and optimizes the usage of parking lots, also satisfying individual parking requirements. Unlike other studies acting solely with vacant parking spaces, this one also applies to parking lots with full state to the assignment of parking space to each parking request, while each of the lots has the probability of releasing occupied spaces soon. The request a vehicle parking space corresponds to the parking fee and time consumption of related parking operations. A fog network is defined to realize the mode assisting vehicles in search of an appropriate lot. Result analysis indicates that the proposed mode is reliable and efficient in search of a parking space.
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Acknowledgements
This investigation was supported by Ministry of Science and Technology, Taiwan, under grant no. MOST 104-2221-E-126-007, Providence University research grant, and the National Key Technology Support Program of China (2015BAH16F00/F01/F02).
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Hsieh, MY., Lai, Y., Lin, H.Y., Li, KC. (2018). A Model for Predicting Vehicle Parking in Fog Networks. In: Yen, N., Hung, J. (eds) Frontier Computing. FC 2016. Lecture Notes in Electrical Engineering, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-10-3187-8_25
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DOI: https://doi.org/10.1007/978-981-10-3187-8_25
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