27 results about "Shared parking" patented technology

The invention provides a shared parking space automatic matching and guiding navigation method based on a passive Internet of Things label, and relates to the technical field of intelligent traffic, and the method comprises the steps: receiving user terminal information, building a candidate parking space set based on a multi-layer search grid and density clustering, and determining an optimal navigation path by using the road network connection state matrix and the congestion propagation prediction tree, and calculating the maximum reserved waiting time in combination with a parking space group state propagation model to realize parking space reservation and verification. According to the invention, the utilization rate of parking space resources is improved, the parking space searching time of the user is reduced, and the urban traffic jam problem is effectively relieved.

The application provides a shared parking space automatic matching and guiding navigation method based on a passive Internet of Things label, relates to the technical field of intelligent traffic, and comprises the following steps: receiving user terminal information, constructing a candidate parking space set based on a multi-layer search grid and density clustering, determining an optimal navigation path by using a road network connection state matrix and a congestion propagation prediction tree, and combining a parking space group state propagation model to calculate a maximum reservation waiting time, so that parking space reservation and verification are realized. The application improves the parking space resource utilization rate, reduces the time for users to find parking spaces, and effectively alleviates the urban traffic congestion problem.

The invention relates to the technical field of shared parking space traffic management, and discloses an AI-based shared parking space dynamic intelligent navigation management system and method, and the system comprises a shared parking space matching module, a shared parking space navigation module, and a shared parking space adjustment module. On the basis of big data of parking space use states meeting user requirements in the same time period in the shared parking space history, the optimal shared parking space with the maximum unoccupied probability value is scientifically and accurately predicted in combination with an AI intelligent algorithm, and the optimal shared parking space meeting the user requirements is intelligently predicted on the basis of the AI intelligent algorithm; based on the optimal shared parking space position coordinates and the user real-time position coordinates, a navigation route from the user position to the optimal shared parking space position is precisely planned in real time in combination with a navigation platform, and meanwhile, the mobile terminal autonomously executes the optimal shared parking space navigation operation online in combination with a shared parking space management platform. Intelligent and reliable navigation of the user to the selected shared parking space route is realized, and the user experience of shared parking space scheduling is improved.

The application discloses a kind of point-to-point shared parking method, device, computer equipment and readable storage medium.The method comprises: obtaining parking lot historical parking space data and parking lot historical charging data;According to parking lot historical parking space data, extract parking space data trend characteristics, and construct shared parking space quantity model, determine the shared parking space quantity of parking lot in target time period according to shared parking space quantity model;According to parking lot historical charging data, extract charging data trend characteristics, and construct shared parking space cost model, determine the shared parking space cost of parking lot in target time period according to shared parking space cost model;According to shared parking space quantity and shared parking space cost, generate target point-to-point shared parking strategy in target time period.The application solves the problem of parking difficulty, and improves the operation benefit of parking lot.

The invention provides a community shared parking management system and method based on Internet of Things and artificial intelligence, relates to the technical field of intelligent traffic management, and solves the problem of various limitations in community scale shared parking management. In the system, a sensing layer acquires parking space state information, vehicle characteristic information and environment parameter information in real time through multiple types of sensing devices deployed in parking spaces, and generates sensing data; the edge computing layer receives sensing data through an edge computing node, and carries out local data processing, equipment control instruction generation, abnormal state detection and local data caching; the cloud platform layer receives and integrates data from the edge computing layer through a cloud computing platform, and executes parking resource scheduling decision, user behavior analysis and demand prediction, user account management and payment settlement processing. The vehicle and parking space monitoring accuracy can be improved, and the parking experience, the parking space utilization rate and the parking lot passing efficiency of community users are smoothly improved.

This invention discloses a method and system for extending parking space sharing services using door locks. The method includes: based on the pre-set multicast addresses of parking space sharing alliances for multiple owners' door locks, each door lock joins the corresponding multicast group via extended IGMP join messages; based on parking space sharing requests submitted by requesters, resource matching is triggered among the door locks in the alliance; based on the door locks in the multicast group that meet the application requirements, resource reservations are declared to the gateway via extended IGMP messages, and a unique reservation number is generated, ultimately determining the winner of providing shared parking spaces; based on the requests submitted by requesters for extended parking periods, the original shared parking space door locks are given priority in processing, and through time period splitting and recursive negotiation mechanisms, the extended time periods that cannot be covered are transformed into new sharing requests, triggering distributed negotiation and matching among other door locks in the alliance. Using this invention, decentralized parking space resource publishing and distributed negotiation can be achieved, improving the real-time performance, reliability, and system scalability of the sharing process.

The invention discloses a shared parking space management method and device based on the Internet of Things, a medium and a product. The method comprises the following steps: assigning a target parking space for a parking reservation request, creating a digital twinborn model, and initializing the digital twinborn model to a reserved state; collecting a multi-channel time sequence vibration signal covering the target parking space area; performing joint time-frequency analysis on the multi-channel time sequence vibration signals to generate a space-time vibration energy distribution diagram; performing sequence pattern recognition on the space-time vibration energy distribution diagram, and analyzing a semantic event; a state updating instruction is sent to the digital twin model, and the state of the digital twin model is driven to be converted; when the state of the digital twin model is updated to a drive-in state, obtaining vehicle identity information, updating the state of the digital twin model to an occupation state, and recording an occupation starting moment; and when the state of the digital twin model is updated to a driving-off state, the parking duration is calculated, and a charging voucher is generated. By implementing the technical scheme, the problem of low reliability caused by a single sensing dimension is solved.

The application discloses a kind of real-time reservation and dispatching systems for shared parking, it is related to intelligent transportation and wisdom city management technical field, including demand analysis module, parking scene type, time requirement and priority information are extracted from user parking request data, generate standardized demand description by dynamic weight distribution, obtain user demand analysis result, process decomposition module, according to parking scene type and time requirement in user demand analysis result, decompose parking dispatching process into demand receiving, resource matching and path planning business unit, determine business unit set;The real-time reservation and dispatching system for shared parking, through dynamic weight distribution and real-time response optimization, ensure efficient resource allocation and path planning, significantly improve parking dispatching efficiency and user experience.

The invention provides a shared parking strategy recommendation algorithm and system, and relates to the technical field of intelligent parking management, and the algorithm comprises the steps: connecting a plurality of parking operation platforms through a city parking network platform; the parking resource data, the parking record data and the real-time remaining parking space data are uploaded to a shared parking strategy recommendation algorithm module for data cleaning, and an effective data set is screened out; performing parking behavior feature analysis, constructing an occupancy rate change feature curve, and generating a shared parking overall strategy; and the parking information is distributed to the parking operation platform through the urban parking one-network platform for shared parking. The technical problem that in the prior art, due to the fact that only the microscopic level of a single parking lot or a single parking space is concerned, a shared parking strategy cannot be dynamically optimized from the overall perspective of a city, and reasonable utilization of parking resources is further affected is solved, shared parking strategy recommendation is carried out through a city parking network platform, and the user experience is improved. And the parking resource utilization rate is improved.

The invention belongs to the technical field of shared parking space reservation scheduling, and particularly relates to a shared parking space reservation scheduling method, system and equipment based on a parking space lock, and the method comprises the steps: judging that a parking space is in an idle or occupied state at present through multi-source data fusion and continuous verification based on a parking space signal; based on the historical parking behavior data of the parking space owner, the availability probability of the parking space in the target time period is calculated, and the confidence coefficient is calculated in combination with the entering / leaving time stability and the sharing performance behavior; according to the availability probability and the confidence coefficient, the future time period of the parking space is classified as sharable, non-sharable or conditional sharing; parking spaces which are in idle states at present and are classified as sharable or condition-shared parking spaces in a future target time period are brought into a reservation resource pool; and in response to a user reservation request, creating a reservation order for the target parking space and controlling the parking lock to maintain a rising state. The parking space utilization rate is improved, and parking space resource waste is reduced.

The application provides a regional shared parking rolling time domain allocation method considering potential demand, including the following steps: a parking user provides a parking destination and a parking time to a platform, the platform generates a parking request matrix in a region according to the advance reservation parking request and the time period; the platform divides the user to a shared parking lot in the region according to the parking request matrix of the parking user and generates a parking supply matrix of the shared parking lot in the region; the platform performs initial allocation of the shared parking according to the parking request reserved by the parking user and the result of the parking region division, rejects the initially allocated parking user according to the number and parking time length of the parking user to be rejected; the platform performs dynamic allocation according to the change of the road network traffic flow and the updated parking request matrix and supply matrix of the temporary reservation user in the region, and updates the parking request matrix and the supply matrix. The application effectively combines the parking demand and the parking supply through the shared parking, and improves the parking platform benefit.

The invention discloses a shared parking resource matching method based on dynamic pricing and collaborative path planning, and belongs to the field of intelligent traffic and sharing economy. The optimization method is provided for solving the problems that an existing platform is rigid in pricing, and matching and path planning are separated. The method comprises the following steps: 1, constructing a multi-factor dynamic pricing model fusing real-time supply and demand, location attributes and historical data, and introducing a price smoothing mechanism to balance market response and price stability; 2, establishing a collaborative optimization model with maximization of the total benefit of the system as a target, jointly deciding parking space distribution, pricing fine adjustment and path planning, and comprehensively planning and optimizing multiple targets such as a platform and a user; and thirdly, designing a two-stage hybrid heuristic algorithm, and ensuring the real-time solution quality in a complex scene by combining a graph theory and an improved genetic algorithm. The invention provides a thought for improving the parking resource utilization rate, the user satisfaction and the social traffic efficiency.

The invention belongs to the field of parking space sharing, and particularly discloses an idle parking space real-time sharing system which comprises a user management module, a parking space management module, a parking space pricing module and a parking binding module. According to the scheme, a segmented prediction method is adopted, a city is divided into a plurality of shared parking areas and equal-length time intervals, the parking inflow and outflow of each area in each time period are recorded, an area flow similarity matrix is generated through a Pearson's correlation coefficient, non-adjacent similar area association is established, data are divided into recent blocks, day blocks and weekly blocks, and a prediction result is obtained. Local spatial features and cross-regional similar features are extracted, and an accurate parking demand prediction value is obtained through adaptive weight fusion; a bilinear group parameter verification method is adopted, after a renter determines a parking space, a binding request is sent, an equipment private key is generated, a Hash value is calculated, the renter needs to verify the consistency of the Hash value and the pairing of the public key and the private key before parking, a parking lock is opened after passing, and the problems that the identity is falsely used and the parking space is occupied maliciously are effectively eradicated.

The application discloses a priority-driven mixed shared parking and charging resource optimization method, aiming at solving the problems of unreasonable resource allocation of existing shared parking lot, imbalance between supply and demand of parking spaces and low utilization rate of charging parking spaces. First, a priority matching mechanism of multiple types of parking spaces and parking demand is constructed, and the priority is set according to the parking demand type and the parking space attribute, so that the matching of mixed demand and charging parking spaces is preferentially met. Secondly, the parking lot and demand data are collected, and an optimization model with the target of maximizing the operation profit is constructed, and the target function includes the income, the cost and the penalty cost. By introducing the time window constraint of the parking demand and the shared parking space supply, the timeliness and rationality of the supply and demand matching are ensured. The constraint relationship between the demand and the supply is established, and the resource allocation efficiency is optimized. The application can significantly improve the utilization efficiency of parking and charging resources, improve the user experience, relieve the parking problem and help the promotion of the shared parking policy.

The application discloses a parking space allocation method based on an auction mechanism, comprising the following steps: S1, acquiring a parking space supplier's parking interval, hourly rental price and total rental price, and generating a parking supply matrix; S2, acquiring a parking space demander's first-choice parking interval, second-choice parking interval and hourly use price, and generating a first-choice parking demand matrix and a second-choice parking demand matrix according to the first-choice parking interval and the second-choice parking interval; S3, generating a bid hourly rental price, a bid total rental price and a bid hourly use price; and S4, performing shared parking space allocation. The application provides a new idea for optimizing parking space sharing and improving the willingness of citizens to participate in the shared market, maximizes the number of parking demanders and guarantees the benefits of parking space suppliers and parking platforms.

The invention discloses a dynamic pricing scheduling method and system based on a space-time diagram neural network and a multi-agent game, and the method achieves a full-link intelligent architecture of "perception-prediction-pricing-scheduling-settlement" through the fusion of space-time diagram neural network prediction, multi-agent reinforcement learning scheduling and block chain trusted transaction. Full-process intelligent management from parking space data acquisition, preprocessing and feature extraction to model training, dynamic pricing, cross-regional scheduling and credible transaction is achieved, and the method is suitable for dynamic optimal configuration of city-level global parking space resources. Therefore, the problems of supply and demand mismatching, inefficient cross-regional scheduling, weak trust mechanism and the like caused by static pricing in a traditional shared parking space system are solved, full-link intelligent and dynamic management of urban parking space resources from data perception to transaction settlement is realized, the parking space utilization rate is improved, the parking space searching cost is reduced, the transaction credibility is enhanced, and the user experience is improved. And the transformation of the shared parking space from passive matching to active scheduling is promoted.

This invention provides a method for balancing the spatial and temporal supply and demand of parking spaces, comprising: obtaining the changing patterns of parking space supply and demand in different areas based on historical traffic data and vehicle parking conditions within a target area; classifying all areas based on these patterns, and formulating corresponding parking space balancing methods for temporary parking space openings and shared parking space combinations based on the classification results; evaluating the mitigation effect of the parking space balancing method on the regional parking space supply and demand imbalance, and adjusting the scope of the parking space balancing method for areas where the mitigation effect is lower than expected. This method can effectively formulate appropriate parking space balancing methods for different areas, better solving the problem of spatial and temporal imbalance of parking space supply and demand.

This invention relates to the field of smart city management technology, specifically to a smart city carbon emission panoramic management and planning system. In this invention, a multimodal behavior perception unit, deployed in a heterogeneous sensor network within shared facilities, collects real-time data on the differentiated usage behaviors of multiple entities, including central air conditioning systems, shared parking lots, and heating networks. A dynamic emission tracing unit receives this data and uses a carbon flow tracing algorithm engine to perform spatiotemporal coupling calculations with the total energy consumption of shared facilities, generating a multi-entity responsibility carbon footprint. Based on this carbon footprint, a responsibility weight allocation unit dynamically calculates the contribution of each entity using a Shapley-Bayes game fusion model, outputting the responsibility sharing ratio to a blockchain incentive execution unit. The blockchain incentive execution unit, based on the responsibility sharing ratio, automatically triggers a differentiated reward and punishment mechanism through smart contracts. Entities exhibiting abnormal behavior will have their facility usage privileges downgraded, improving the accuracy and fairness of carbon emission management and contributing to the low-carbon development of cities.

The invention relates to an own charging pile parking space sharing method and device in an intelligent network connection environment, and the method comprises the steps: obtaining the renting information of a charging pile parking space of a target community, and reserving a corresponding target charging pile parking space; when the vehicle drives into the parking lot of the target community, corresponding vehicle information is collected through various intelligent network connection devices so as to control the shared parking space lock of the parking space of the target charging pile to execute opening or closing operation, and the parking fee corresponding to the target vehicle is calculated; and the energy type of the target vehicle is judged, if the energy type is a traditional fuel oil type, the charging pile of the charging pile parking space is turned off, and if the energy type is a new energy type, the target charging pile is turned on after the vehicle is driven into the charging pile parking space, so that personalized charging is carried out on the vehicle. Therefore, the problems that in an existing community scene, shared parking equipment and shared charging pile equipment are scattered, the interconnection degree between the equipment is limited, and the utilization efficiency of parking resources and charging facilities is low are solved.

A map information creation device comprises: a map information storage storing information including center position information of facilities and pieces of parking lot information; a facility information storage storing scale information of the facilities; a parking lot area information table that indicates a correspondence relation between the areas as the scales of the facilities, and the parking lot areas of the facilities typically estimated according to the scales of the facilities; a facility extraction unit that extracts facility information within a predetermined distance from a parking lot; and a parking lot determination unit that, when pieces of facility information are extracted by the facility extraction unit, determines the parking lot as a shared parking lot for facilities if each scale information included in the extracted facility information falls below the scale information of the facility corresponding to the area of the parking lot calculated based on the parking lot area information table.

The application relates to a dynamic shared parking lot resource prediction method, characterized in that the method comprises the following steps: step S1, calculating a parking lot historical parking lot occupancy rate according to parking lot historical parking data; step S2, constructing a parking lot resource prediction model based on a gated recurrent unit, and predicting a parking lot occupancy rate at a next moment according to parking lot occupancy rate information at a current moment; and step S3, constructing a dynamic shared parking strategy according to a shared parking strategy setting principle and related parameters, combining the parking lot occupancy rate prediction result and the parking lot historical parking data, and outputting a shared time period. Compared with the prior art, the application has the advantages of high prediction accuracy and high universality.

The application discloses a kind of shared parking space safety management method and system, and the application relates to shared parking space technical field, including user management module, parking stall management module, parking stall optimization module, financial module, customer service module, data management module, user management module is responsible for verifying identity, and dividing user and provider user;The application obtains each partition parking demand value E X by calculation, and compared with actual parking quantity, when the demand value E X Calculated by system is greater than actual parking quantity, guide user to the area of lower parking utilization rate in periphery to optimize allocation, can ensure that parking resource is maximized utilization, avoid the problem that part parking is idle while other parking is overloaded, help to relieve parking pressure in high demand area, improve the overall efficiency of urban parking system.

The invention relates to the technical field of intelligent traffic, and discloses a shared parking space system, which comprises a management background module used for inputting parking space basic information and storing the parking space basic information to a database, and the parking space basic information comprises a parking space number, a parking lot name, an address, a province, a city, a district, longitude and latitude, a password and an equipment Bluetooth number; the highest authority of taking back the released parking space and switching the order state is achieved; and the front-end user module is used for a user to add a parking space, publish the parking space, check published information, search and screen the parking space and perform reservation operation, and verifying the consistency of the number and password of the parking space and the database through an interface when the parking space is added. Through combination of refined parking space release management and intelligent equipment control, efficient utilization and convenient operation of parking space resources are realized. The system supports flexible renting modes, charging types and time configuration, verifies the overlapping performance of release time in real time through a database to avoid conflicts, and realizes remote lifting control and state synchronization of equipment by means of Bluetooth communication.

The invention discloses a shared parking demand prediction and parking space distribution system applied to the field of parking space distribution, and the system enables the parking spaces in different areas to be mutually linked through sharing the parking spaces in a residential area with a high vacancy rate in the daytime and the parking spaces in a working area with a high vacancy rate at night in different time periods. Therefore, under the condition that existing parking space planning is not increased, the parking contradiction is effectively solved; meanwhile, the parking space can be locked and reserved in advance before parking, so that the user can effectively shorten the time for finding the parking space, the time for the vehicle to stay on the road surface before parking is shortened, and the traffic jam phenomenon caused by temporary gathering of the vehicle in the peak period is effectively reduced; the automatic locking device is designed to be in a form capable of transversely moving in a small range, when accidental collision occurs, the automatic locking device can generate certain avoiding buffering, a vehicle is effectively protected against damage caused by collision with the automatic locking device, meanwhile, a user can respond in time, and excessive extrusion is not prone to occurring between the vehicle and the automatic locking device.

The invention discloses a mobile charging facility planning method and device considering a parking space sharing mode, and the method comprises the steps: building a charging demand formula set for the charging demands of a plurality of scenes, and building a constraint set based on a stepped parking charging mechanism and charging power; and with maximization of the effective charging rate as a target, a charging demand formula set and a constraint set are solved simultaneously, and a planning scheme of the positions and the number of the mobile charging facilities is obtained. According to the mobile charging facility planning method and device considering the parking space sharing mode, the effective charging rate is optimized under the constraint of the charging power, and mismatching of the shared parking space and the charging requirement can be solved; meanwhile, a mobile charging facility is used as a planning core, the limitation of traditional fixed charging pile planning on technology iteration and multi-demand adaptation is broken through, and the problems that shared parking space resources are mismatched with charging demands, and existing charging pile planning cannot adapt to technology iteration and multi-demand due to the fact that a mobile charging technology is not included can be solved.

The invention relates to the technical field of shared parking spaces, and discloses a sharing system based on real-time monitoring of the Internet of Things, and the sharing system comprises a parking space sensing subsystem, a data transmission subsystem, a data processing and analysis subsystem, a user service subsystem, an intelligent scheduling subsystem, and a management and maintenance subsystem. The parking space sensing subsystem is used for monitoring the parking space occupation condition and the vehicle information in real time, the data processing and analyzing subsystem is used for processing and analyzing the monitored new information in real time, a vehicle owner selects a parking space through the user service subsystem, the intelligent scheduling subsystem is used for meeting the parking requirement of a user, and the parking space utilization rate is improved. The Internet of Things, big data and other technologies are fused and applied, real-time sensing, efficient scheduling and convenient service of parking resources are achieved, the system not only improves the operation efficiency of the parking lot, but also improves the parking experience of vehicle owners, effectively solves the problem of difficult parking in cities, and promotes sustainable development of cities.

This application proposes a method and system for the e-commerce operation of shared parking spaces based on time-slice transactions and intelligent scheduling. The proposed solution operates parking space usage rights through time-slice e-commerce, setting flexible parameters such as core usage periods, adjustable time boundaries, and minimum continuous parking duration for each time slice. By linking actual parking space occupancy with orders, intelligent scheduling based on these flexible parameters is triggered when the system detects that a previous time slice has expired, a user for the next time slice has arrived, and all parking spaces within the flexible time window have been allocated. Within permissible limits, the actual start and end times of the next time slice and related orders are adjusted, ensuring that the next time slice still receives parking service that meets the minimum continuous parking duration, and that each parking space is occupied by only one order at any given time. This alleviates the problem of subsequent vehicles being unable to park due to previous vehicles exceeding their time limit during peak hours when no spare parking spaces are available, thereby improving reservation fulfillment rates and parking space utilization.