Design of a Demand Matching Service for Overnight Parking Space Allocation

As fully automated valet parking systems are being developed, there is a transition period during which both human-operated vehicles (HVs) and autonomous vehicles (AVs) are present in the same parking infrastructure. This paper addresses the problem of allocation of a parking space to an AV without conflicting with the parking space chosen by the driver of a HV. A comprehensive assessment of the key factors that affect the preference and choice of a driver for a parking space is established by the fuzzy comprehensive method. The algorithm then generates a ranking order of the available parking spaces to first predict the driver’s choice of parking space and then allocate a space for the AV. The Floyd algorithm of shortest distance is used to determine the route for the AV to reach its parking space. The proposed allocation and search algorithm is applied to the examples of a parking lot with three designed scenarios. It is shown that parking space can be reasonably allocated for AVs.

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Cooperative parking space allocation in vehicular ad hoc networks

Proceedings of the 6th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services ◽

10.4108/icst.mobiquitous2009.7050 ◽

2009 ◽

Cited By ~ 12

Author(s):

Thierry Delot ◽

Nicolas Cenerario ◽

Sergio Ilarri ◽

Sylvain Lecomte

Keyword(s):

Ad Hoc Networks ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Parking Space ◽

Space Allocation ◽

Hoc Networks

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A parking space allocation algorithm based on distributed computing

International Journal of Sensor Networks ◽

10.1504/ijsnet.2020.10031354 ◽

2020 ◽

Vol 33 (4) ◽

pp. 250

Author(s):

Yong Chen ◽

Huang Xu ◽

Guanlin Chen ◽

Huajian Pang ◽

Wujian Yang

Keyword(s):

Distributed Computing ◽

Parking Space ◽

Allocation Algorithm ◽

Space Allocation

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Research on Dynamic Parking Space Allocation Model in Closed Parking Lot

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.734.435 ◽

2015 ◽

Vol 734 ◽

pp. 435-439

Author(s):

Qing Gang Wang

Keyword(s):

Optimization Model ◽

Utilization Efficiency ◽

Random Allocation ◽

Parking Space ◽

Allocation Model ◽

Space Allocation ◽

Parking Lot ◽

On Line ◽

Reservation System ◽

Parking Demand

This paper investigated Dynamic Parking Space Allocation Model (DPSAM), which is one of functional modules of On-line Parking Space Reservation System (OPSRS). In the model, the parking spaces were regarded as a two-dimensional parking resource pool of temporal and spatial components. An integer programming formulation was presented with the objective function of minimizing the discontinuous parking resources. The experiment was executed to compare the allocation solutions of optimization model and random allocation with the indicators of parking resource vacancy rate, parking resource sunk rate and parking demand satisfaction rate. The result shows that optimization model can improve the utilization efficiency of parking lot and is valuable for the application of OPSRS.

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