Shared parking demand and parking space time-space matching method for unmanned driving
An unmanned vehicle and matching method technology, applied in the field of shared parking demand and space-time matching of parking spaces, can solve the problems of increasing the cost of using vehicles, increasing the accident rate, waste of resources, etc., to refine the parking process and optimize the number of shifts. , the effect of reducing the increase in the cost of using a car
Pending Publication Date: 2022-04-29
UNIV OF SHANGHAI FOR SCI & TECH
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[0004] However, unreasonable parking schemes may also lead to frequent relocation of unmanned vehicles, resulting in increased vehicle costs, waste of resources, and increased accident rates during vehicle relocation.
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[0053] Step 1: Based on the "autonomous displacement" characteristics of unmanned vehicles, analyze the impact of unmanned vehicles on shared parking, and put forward the relevant assumptions needed to design the matching method of supply and demand. 1) The parking demand time and parking space supply time of shared parking are known. 2) Assume that the parking demand at any moment is less than or equal to the berth supply. 3) A manned vehicle can only park in one parking space within its parking demand time; an unmanned vehicle can park in different parking spaces in two consecutive time periods, that is, to realize autonomous displacement. 4) The displacement only occurs at the first and last moments of parking demand and supply, and it is assumed that the cost of each displacement is the same.
[0054] Step 2: By dividing the parking demand time and parking space supply time into smaller time periods, characterize the displacement of unmanned vehicles during the shared par...
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The invention discloses a shared parking demand and parking space time-space matching method for unmanned driving, and the method comprises the steps: analyzing the influence of an unmanned vehicle on shared parking from the unoccupied driving feature of the unmanned vehicle, and putting forward a related hypothesis considering the shared parking supply and demand matching problem of the unmanned vehicle. In order to better describe the autonomous displacement condition of the unmanned vehicle in the shared parking process, the parking demand time and the parking space supply time are divided. By analyzing the space-time matching characteristics of the parking demand and the supplied parking space and by taking the minimum number of times of moving the unmanned vehicle to meet the parking demand as an optimization target, a feasible solution and a neighborhood of the feasible solution are defined, and a targeted simulated annealing algorithm is designed to solve the problem. According to the invention, the utilization rate of the parking space is improved by utilizing the characteristic of autonomous displacement of the unmanned vehicle, the parking demand is met, and meanwhile, the resource waste is reduced and the traffic accident rate of the parking area is reduced by optimizing the vehicle moving times of the unmanned vehicle in the shared parking process.
Description
technical field [0001] The present invention relates to the field of shared parking and the technical field of unmanned driving, in particular to a method for matching unmanned shared parking demands and parking spaces in time and space. Background technique [0002] As the number of cars in our country continues to rise, road traffic congestion is caused, and the problem of parking in cities is also aggravated. The number of traditional parking spaces can no longer meet the growing parking demand. With the development of electronic technology, shared parking has become a feasible way to integrate existing resources to solve parking difficulties. Shared parking has the advantages of low cost and short renovation time. Compared with newly built parking facilities, it not only saves time and cost, but also has better effects. Shared parking is to use the spare time of the parking facilities to reach a sharing relationship with the adjacent community, so that the owner of the...
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IPC IPC(8): G06Q10/06G06Q30/06G06Q50/30G06N3/00G06K9/62
CPCG06Q10/06315G06Q30/0645G06N3/006G06F18/22G06Q50/40
Inventor 何胜学崔允汀何建佳袁鹏程梁士栋
Owner UNIV OF SHANGHAI FOR SCI & TECH