Adaptive evolution algorithm for supply and demand matching of reservation type shared parking under AVP condition

An adaptive, supply and demand technology, applied in the field of shared parking, can solve the problems of increasing the incidence of traffic accidents, frequent vehicle displacement, and increased vehicle cost, so as to meet the needs of shared parking and improve the utilization of parking spaces.

Pending Publication Date: 2022-07-05
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

However, unreasonable parking schemes may also lead to frequent displacement of vehicles, wh

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  • Adaptive evolution algorithm for supply and demand matching of reservation type shared parking under AVP condition
  • Adaptive evolution algorithm for supply and demand matching of reservation type shared parking under AVP condition
  • Adaptive evolution algorithm for supply and demand matching of reservation type shared parking under AVP condition

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[0033] A more detailed description of an adaptive evolutionary algorithm for matching the supply and demand of reserved shared parking under AVP conditions of the present invention will be given below in conjunction with the schematic diagram, which represents a preferred embodiment of the present invention, and it should be understood that those skilled in the art can modify the description herein. Therefore, the following description should be construed as widely known to those skilled in the art rather than as a limitation of the present invention.

[0034] In the description of the present invention, it should be noted that for orientation words, such as the terms "center", "horizontal", "longitudinal", "length", "width", "thickness", "upper", "lower" , "Front", "Back", "Left", "Right", "Vertical", "Horizontal", "Top", "Bottom", "Inside", "Outside", "Clockwise", "Counterclockwise" ” and the like indicating the orientation and positional relationship are based on the orient...

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Abstract

The invention discloses a self-adaptive evolutionary algorithm for supply and demand matching of reservation type shared parking under an AVP condition, which utilizes the empty driving characteristic of an AVP vehicle, parks the vehicle at different parking spaces at different time periods of shared parking demands, maximally meets the shared parking demands with the least AVP shifting times, and improves the utilization rate of the parking spaces. The method specifically comprises the following steps: on the basis of dividing shared parking supply and demand time, defining pairing, time period pairing and pairing scheme concepts; designing an adaptive optimization strategy of the AVP vehicle for berth adjustment in all time periods by analyzing the condition of berth adjustment of the vehicle in a given time period and the influence of berth change on the number of times of vehicle moving in the pairing scheme; a brand-new algorithm is designed, the calculation time is shorter than 1 second when the algorithm is used for solving a medium-scale matching problem, and the algorithm can be used for actual online parking space distribution of the shared parking platform.

Description

technical field [0001] The invention relates to the field of shared parking, in particular to an adaptive evolution algorithm for supply-demand matching of reserved shared parking under AVP conditions. Background technique [0002] Shared parking is a feasible method to solve the difficult parking problem by using existing parking facilities. Compared with the newly built parking facilities to solve the difficult parking problem, not only the renovation time is short, the cost is low, but also the effect is more significant. In shared parking, the owner of the parking space publishes the free time period of the parking space through the shared parking platform, and rents the free time period to obtain income. The vehicle owner obtains parking space information and parks the vehicle through the shared parking platform. The sharing platform manager collects information, publishes information, processes information, and manages the daily affairs of the parking lot. However, a...

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04
CPCG06Q10/06315G06Q10/06312G06Q10/06313G06Q10/04
Inventor 何胜学崔允汀张虎梁士栋袁鹏程
Owner UNIV OF SHANGHAI FOR SCI & TECH
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