4410 results about "Parking space" patented technology

The invention, which relates to the parking space management field, discloses a visual parking lot parking space release management system comprising a dynamic twinborn modeling module, an intelligent path planning module, a dynamic twinborn modeling module, a dynamic twinborn modeling module and a dynamic twinborn modeling module. The dynamic twin modeling module comprises a multi-source data acquisition module, a point cloud preprocessing module, a semantic enhancement modeling module, a real-time rendering and optimizing module and a dynamic updating and maintaining module; the intelligent path planning module comprises a high-precision positioning and environment sensing module and a space-time constraint path planning module. According to the visual parking lot parking space release management system, the distance between the vehicle and the parking space, the turning frequency, the energy consumption and the gradient can be comprehensively considered through the improved D * Lite algorithm, the traffic situation of the parking lot in the future is predicted in combination with the traffic situation prediction module, the path is recalculated every 5 seconds, the path of the parking space can be effectively planned, and the parking space release management efficiency is improved. And the problem of vehicle energy consumption can be effectively avoided.

The invention belongs to the technical field of parking management, and particularly relates to an intelligent parking management method based on the Internet of Things, a terminal and a storage medium, and the method comprises the steps: collecting the parking space state, vehicle information and environment data of a parking lot in real time through a multi-mode sensor; preprocessing and fusing the collected data to generate a spatio-temporal data matrix; constructing a parking space demand prediction model based on the spatio-temporal data matrix, and outputting a parking space demand thermodynamic diagram in a future preset time period; receiving a reservation request, and generating a parking space reservation distribution strategy according to the parking space demand prediction result in combination with a preset time sequence constraint condition; outputting a corresponding appointment accepting decision and a parking space locking instruction; by monitoring the parking space state in real time, a user can obtain accurate parking information in advance, the situation that a large amount of time and energy are wasted in the parking space searching process is avoided, and therefore the parking efficiency is remarkably improved. Meanwhile, due to the introduction of the parking space reservation function, the user can lock the parking space in advance, and the time for finding the parking space is further shortened.

The invention relates to the technical field of smart parking lots, in particular to a vehicle safety management method based on a smart parking lot, which comprises the following steps: S1, multi-source data acquisition: acquiring dynamic trajectory data of a target vehicle, parking lot environment parameters and adjacent parking space state data in real time, and generating a multi-source feature vector set; s2, data space-time alignment: carrying out space-time alignment processing on the multi-source feature vector set, and outputting a standardized vehicle behavior sequence; s3, abnormal behavior recognition: inputting the standardized vehicle behavior sequence into an abnormal behavior recognition model, and generating an abnormal behavior characteristic spectrum and a confidence coefficient parameter; s4, risk level assessment: constructing a risk assessment model based on the confidence coefficient parameter and the environmental parameter, and outputting the risk level of the parking lot in the current scene; and S5, security policy triggering: triggering a corresponding security policy execution instruction according to the risk level. According to the invention, potential risks can be effectively prevented, and the safety of vehicles and personnel is ensured.

The invention, which relates to the technical field of traffic management, discloses an intelligent detection system for a vehicle parking space in a passenger and goods mail fusion station, and the system comprises a multi-mode sensing module which is configured to collect vehicle data information, the collection mode comprises the steps that vehicle data information is collected through an enhanced geomagnetic array, an adjustable video monitoring set, a lateral laser radar and a piezoelectric sensor; and the edge computing node module is configured to integrate an AI chip, the AI chip comprises a vehicle classification model, an abnormal parking detection algorithm and a data fusion engine, and the collected data is computed and analyzed. The edge computing node is integrated with an AI chip, and data are analyzed and processed through a built-in algorithm; the hybrid communication network transmits data through an optical fiber backbone network and a specific redundant link, self-adaptive visual adjustment and intelligent algorithm optimization are performed, the problem of complex vehicle type detection in a passenger and goods mail fusion station is solved, and the parking space utilization rate and the operation efficiency are remarkably improved.

The invention discloses an intelligent parking management system based on multi-dimensional data analysis, and relates to the technical field of urban parking management, and the system can dynamically monitor the real-time state of a parking lot through a parking lot information collection module, can obtain the parking demands of a driver through a to-be-parked person collection unit, and can achieve the intelligent parking management of the driver. Comprise distance preference, cost budget and parking space types, and the most suitable parking lot is accurately matched by combining static and dynamic characteristics of the parking lot, so that the parking convenience is improved. And the correction module calculates a parking cost performance index of the parking lot, and performs dynamic adjustment according to a cost performance threshold value Z, so that the recommended parking lot is ensured to meet requirements, cost, parking convenience and parking space stability are considered, and an optimal choice is provided for a user. The system can reduce disordered wandering of vehicles in high-demand time periods or hot spot areas, improves reasonable configuration of parking resources, reduces traffic congestion caused by searching parking spaces, and improves the overall efficiency of urban parking management.

The invention discloses a non-continuous vehicle illegal parking detection method and a non-continuous vehicle illegal parking detection system fusing multiple terminals. The method comprises the following steps: acquiring pictures of the same area shot by terminals carried on different devices in different time periods and on different routes, so as to obtain a plurality of non-continuous pictures; performing spatial-temporal clustering and correction, positioning a vehicle by using a static landmark extraction technology, determining a vehicle area, and constructing position fingerprints for cross-time comparison to determine whether the vehicle is in a static state; wherein on the basis of the corrected discontinuous picture, multi-view information fusion is carried out, so that complete scene description information is fused; when the vehicle is in a static state, determining a parking space area and environment characteristics; judging whether the vehicle has illegal parking behaviors or not; if yes, subdividing illegal parking types of the vehicles; and creating a structured illegal parking report. By implementing the method provided by the invention, comprehensive and efficient monitoring of different types of illegal parking behaviors can be realized, and meanwhile, the accuracy and reliability of monitoring data are ensured.

The invention relates to the technical field of charging parking space guiding control, and particularly discloses a parking space charging reservation and intelligent guiding method, device, equipment and medium, and the method comprises the steps: obtaining vehicle battery state data and a user reservation time window through an Internet of Things terminal; synchronously acquiring charging pile state data, real-time traffic flow data and power grid load information in the parking lot; fusing the obtained multi-source heterogeneous data based on a federated learning framework, constructing a dynamic charging demand prediction model, and predicting charging pile occupancy rate distribution in a preset time period by using a space-time diagram convolutional network; through the combination of the dynamic charging demand prediction model and the space-time diagram convolutional network, the occupancy rate distribution of the charging piles is accurately predicted, the scheduling strategy of the charging piles is adjusted in real time, the problem of unreasonable resource allocation is avoided, and the waiting time of a user is shortened; the application of the quantum genetic algorithm optimizes the matching process of the charging pile through global optimal solution search, thereby ensuring the balance of the power grid load and the rationality of the charging strategy.

The invention discloses a method and system for cooperatively positioning a vehicle through a door lock, and the method comprises the steps: obtaining and dynamically updating a neighbor door lock list through the detected door lock of the vehicle according to the broadcast and scanning data of a Bluetooth tag on a moving vehicle; according to the periodic detection report of the door locks on the vehicle and the global analysis of the management system, the cooperative timers of the related door locks are synchronized, and timing management for preventing repeated triggering is implemented; according to the response of the obtained neighbor door lock which initiates multicast query after the collaborative timer expires, the door lock which initiates the query verifies whether all responders are in the neighbor list, so as to judge whether the vehicle is stably parked; and according to the vehicle parking information confirmed by the door lock, the management system updates the global state and sends a parking position notification to the owner. According to the embodiment of the invention, accurate and low-misjudgment judgment of the parking state of the vehicle can be realized, and the reliability and real-time performance of vehicle positioning management are improved by means of global state synchronization.

The invention relates to the technical field of automatic driving, and discloses a parking assisting method and system for automatic driving. The method comprises the following steps: cascading and splicing a first fisheye image acquired by a main camera in a vehicle body and a second fisheye image acquired by a slave camera to obtain a panoramic image; performing parking space boundary identification and obstacle analysis on the panoramic image to obtain parking space boundary information and obstacle position information, and synchronously performing distance calculation on a radar echo signal of an ultrasonic sensor to obtain distance measurement data; and a parking environment map is created according to the parking space boundary information, the obstacle position information and the distance measurement data, path planning is carried out based on the parking environment map, a parking execution instruction is obtained, and the parking execution instruction is used for vehicle parking auxiliary control. According to the method, the view coverage range and the flexibility of the observation angle are expanded, and the execution precision and safety of parking auxiliary control are improved.

Embodiments herein provide a system and methods for parking a vehicle that considers the location of adjacent vehicles and determines parking maneuvers to allow easy access to the vehicle. The parking maneuvers are determined based on the space needed for each passenger to open their door and to safely exit or enter the vehicle. The vehicle may be positioned in a parking spot next to an adjacent vehicle. The system self-drives the vehicle when executing the parking maneuvers and sensors are used to determine the position of the vehicle in relation to the adjacent vehicle. The vehicle may be positioned such that passengers can safely exit the vehicle while in the parking spot. Once the passengers exit and are safely away, the vehicle is maneuvered within the parking spot to a position that does not impede access to the adjacent vehicle.

The invention discloses a parking space recommendation and reservation method, which comprises the steps of normalizing acquired multi-source heterogeneous data to generate parking lot static attribute data, real-time parking space state data and dynamic user request data; constructing an objective basic potential field by using fuzzy reasoning according to a fuzzy rule set capable of performing adaptive evolution based on performance feedback; modeling long and short term preferences of the user by adopting methods such as hierarchical Bayesian and an attention mechanism so as to generate a user subjective preference modulator; an objective potential field, a subjective modulator and a multi-agent rejection potential field with dynamically adjustable parameters are fused, a total potential energy function of the system is constructed, and a collaborative guidance strategy for all users and conflict avoidance is determined and output by solving the minimum value of the function. According to the invention, efficient and personalized parking guidance with macroscopic cooperation capability can be provided, and the user experience and the operation efficiency of the parking lot are significantly improved.

The invention provides a basement scene automatic vector map construction method and system, and the method comprises the steps: carrying out the IPM conversion of a plurality of ground-oriented top view images, carrying out the splicing, obtaining a bird's-eye view, carrying out the semantic segmentation of the bird's-eye view, extracting semantic elements, and converting the semantic elements into point cloud data; providing IMU and vehicle wheel speed data, combining with the point cloud data to construct a local map, and correcting to obtain a semantic point cloud map; preprocessing the semantic point cloud map, and clustering the point cloud data in the semantic point cloud map according to the similarity semantic point cloud to obtain clustered point cloud data; and based on the semantic point cloud map, combining the clustering point cloud data, constructing boundaries on two sides of a road, generating a lane center line and a boundary line, obtaining a vector map, embedding parking space information, and performing curve optimization on the center line and the boundary line, so as to obtain a basement scene automatic vector map. Vector representation of the complex environment of the underground garage is achieved, and high-quality basic map data support is provided for applications such as vehicle navigation and path planning.

The embodiment of the invention provides a vehicle parking method and system and a vehicle. The method comprises the steps that initial multi-modal data of the environment where the vehicle is located is obtained; performing alignment processing on the initial multi-modal data to obtain target multi-modal data; calling a target model to carry out collaborative analysis on the target multi-modal data to obtain an information identification result of the vehicle and an information identification result of the environment; on the basis of the information identification result of the vehicle, the information identification result of the environment and track information matched with current execution parameters of the vehicle, a to-be-parked parking space of the vehicle and a driving path of the vehicle to be driven to the to-be-parked parking space are determined from the environment, and the current execution parameters are used for representing execution performance of an actuator in the vehicle; the track information is used for predicting the track of the vehicle in the moving process; and according to the driving path, the vehicle is controlled to drive to the to-be-parked space for parking. The technical problem that the parking efficiency of the vehicle is low is solved.

The invention discloses a new energy automobile charging pile parking space occupation detection and billing linkage control method, and relates to the technical field of urban public resource optimization distribution and new energy automobile charging pile parking space management. Comprising the steps of multi-source sensing and state fusion: sensing real-time occupation states, vehicle types and charging behavior states of all parking spaces in real time by using a parking space detector, an ALPR visual sensor, a Hall sensor and a charging pile state communication protocol, collecting original data, deploying edge nodes at the parking spaces, and fusing the original data in real time, outputting a unified parking space state object after fusion; original data are collected in real time through the parking space detector, the ALPR visual sensor, the Hall sensor and the charging pile state communication protocol, and through multi-dimensional behavior analysis of the parking space state, the abnormal behaviors that a fuel truck occupies a space for a long time, an electric vehicle occupies the space and is not charged, and the electric vehicle is detained after being charged can be accurately recognized; and an accurate basis is provided for subsequent charging processing and precise management.

The invention discloses a road shoulder vehicle exclusion method based on an inspection system, and relates to the technical field of intelligent transportation, and the method comprises the steps: obtaining a parking area image shot by an inspection vehicle, recognizing a vehicle target in the image, and extracting the license plate position information; based on vehicle three-dimensional feature reconstruction and space projection analysis, generating a space distribution thermodynamic diagram of the vehicle in the image coordinate system; constructing a dynamic segmentation line model, and adaptively generating a road shoulder region judgment boundary according to the parking space type and the road geometric parameters; and through a multi-target trajectory association algorithm, the berth vehicle and the road shoulder vehicle are distinguished, and the berth occupation state is output. According to the scheme provided by the invention, the spatial positioning precision and behavior judgment reliability in a complex scene can be remarkably improved, the limitations on environmental adaptability, vehicle type compatibility and time sequence continuity are broken through, and a road shoulder violation management and control solution with high robustness and full-time coverage is provided for urban traffic management.

A parking method and apparatus, and a vehicle. The method comprises: acquiring a position where a vehicle is located and information of a target parking space; planning a parking path on the basis of the position and the information of the target parking space, wherein the parking path comprises paths traveled in an opposite-direction steering mode and in a same-direction steering mode, in the opposite-direction steering mode, the direction of a front wheel steering angle and the direction of a rear wheel steering angle of the vehicle are opposite, and in the same-direction steering mode, the direction of the front wheel steering angle and the direction of the rear wheel steering angle are identical; and controlling the vehicle to be parked in the target parking space from a first position on the basis of a first parking path.

The invention relates to the technical field of new energy automobile charging management, in particular to a new energy automobile charging pile orderly management system and method based on a WeChat applet, and the system comprises a multi-dimensional data collection module which is used for collecting the state of a charging pile, parking space occupation and power grid load data; the Internet of Things sensor group is deployed at the charging pile and is used for acquiring electrical parameters such as the state (during charging, idle charging and fault), charging power and voltage of the charging pile in real time; provided is a parking space visual monitoring device. Through combination of an interval tree data structure and a multi-target optimization scheduling model, space-time dimension dynamic management of charging pile resources is realized, the problems of reservation conflicts, resource idleness and the like in a traditional system are effectively solved, the utilization rate of the charging piles is remarkably improved, and an intelligent time period recommendation algorithm is based on user habits and a power grid load state. Users are guided to carry out peak shifting charging, balanced allocation of charging resources and power grid loads is promoted, and optimization of energy utilization efficiency is achieved.

The invention provides a method and a system for predicting idle parking spaces of a parking lot. The method comprises the steps that ramp curvature parameters extracted from topological structure data of the special-shaped parking lot and historical vehicle turning radius data are fused, and a spatial-temporal topological graph of the special-shaped parking lot is generated; aggregating the parking space occupancy state data of all the special-shaped parking lots and the special-shaped parking lot space-time topological graph through a federal transfer learning framework to obtain target feature extraction model parameters; combining the time change characteristics of the channel flow of the special-shaped parking lot in the spatial-temporal topological graph of all the special-shaped parking lots and the target characteristic extraction model parameters, and generating a dynamic parking space distribution strategy; and mapping the dynamic parking space distribution strategy to a real-time navigation path of the special-shaped parking lot space-time topological graph, so that the to-be-parked vehicle arrives at the idle parking space through the real-time navigation path. According to the invention, the dynamic parking space distribution strategy is generated by fusing the topological structure and historical data of the special-shaped parking lot and real-time navigation is carried out, so that the parking space utilization rate and the parking efficiency are optimized.

A method for calculating an optimum route for a first vehicle to travel from a current location to a selected parking space includes receiving map data of a parking zone, the map data including local map data and global map data of the parking zone, sensor data, parking space data indicating availability of parking spaces within the parking zone, and vehicle dynamics and location data, selecting, as the selected parking space, at least one available parking space based on the parking space data, determining a plurality of target positions between the current location and the selected parking space, calculating, in response to the selecting of the selected parking space and based on the plurality of target positions, the optimum route, including calculating trajectories of the first vehicle along an entire route between the current location and the selected parking space, and controlling the first vehicle to travel from the current location to the selected parking space.

The invention relates to the technical field of parking lot digital management, and discloses a digital twin enabling parking lot digital global management system. According to the system, a global digital twin model of a parking lot is generated, and multi-source sensing data such as parking space states, vehicle identities and environmental parameters are fused; generating a parking space distribution matrix with priorities and time windows in combination with the parking request of the user and the real-time parking space state; according to the parking space two-dimensional code hardware parameters, the digital twin model and the parking space distribution matrix, outputting a vehicle guiding path set with a timestamp; a real-time obstacle avoidance and dynamic adjustment system is constructed to generate a safe driving path set so as to dispatch vehicles; outputting a power distribution control instruction set and updating the digital twinborn model by combining the electric quantity of the energy storage unit, the power distribution network data and the safe driving path set; and finally, system knowledge evolution and end-to-end closed-loop optimization are realized through scheduling execution logs. According to the system, global efficient management of the parking lot is realized, and the parking space utilization, vehicle scheduling and energy utilization levels are improved.

The invention discloses a road section illegal parking space-time prediction system based on deep learning, and relates to the technical field of intelligent traffic management, and the system comprises a multi-source data fusion collection module, a space-time self-attention feature extraction module, a dynamic granularity parameter generation module, a space-time hybrid model prediction module and an illegal parking early warning visualization module. By collecting traffic camera video streams, vehicle-mounted sensor data, mobile phone signaling data and meteorological data in real time, comprehensive perception of the traffic environment is achieved, the multi-source heterogeneous data are mapped to a unified GIS grid after being subjected to space-time coordinate calibration, a multi-dimensional illegal parking influence factor database is constructed, and on the basis, the real-time monitoring of the illegal parking influence factor database is achieved. The space-time self-attention feature extraction module performs efficient space-time feature extraction on multi-source data by using a space-time diagram self-attention model, generates feature vectors with space-time relevance, and solves the problems of single data and insufficient feature extraction in a traditional method.

The invention relates to an intelligent port cargo scheduling method based on the Internet of Things, and the method comprises the steps: collecting cargo state information, equipment position coordinates, operation progress data and environment parameters in real time through Internet of Things sensor nodes disposed on a quay crane, a container truck, a storage yard sling and a cargo carrier, and fusing a port GIS map and a berth plan based on the real-time collected data, and establishing a multi-objective optimization model with maximization of the quay crane-container truck-storage yard cooperative efficiency as an objective and minimization of equipment conflict avoidance and path overlap as constraint conditions, and dynamically activating or sleeping storage yard operation partitions and adjusting the number of container truck marshalling according to the obtained storage yard congestion prediction index and the parking space vacancy rate.

The invention relates to the technical field of machine learning, and particularly discloses an intelligent parking guidance and reverse vehicle searching system based on multi-source heterogeneous data fusion. The system comprises a data perception fusion layer, a dynamic prediction decision-making layer and a user service interaction layer, realizes multi-step advanced probability prediction and dynamic optimal path planning of a parking space state through fusion of geomagnetic detection, video identification, payment flow, traffic situation and activity information, and realizes the optimal path planning of the parking space state based on multi-mode induction and live-action AR reverse vehicle searching guidance. And the parking efficiency and the user experience are improved.

The invention relates to the technical field of parking lot busy degree prediction. The parking lot busy degree prediction method comprises the steps of based on historical parking space number change information, performing feature extraction on the historical parking space number change information through a convolutional neural network (CNN) to obtain local spatial features of parking space changes, performing time sequence modeling on the local spatial features through a recurrent neural network (RNN) to obtain a busy degree prediction result of the parking lot, and obtaining a busy degree prediction result of the parking lot. The method comprises the steps of obtaining long-term trend characteristics of parking space changes, carrying out time sequence mode clustering on historical change information of the number of parking spaces by adopting a hybrid clustering method according to the long-term trend characteristics to obtain a time sequence mode of parking space change rules of a parking lot, and obtaining parking space change rules of the parking lot by utilizing a BallTree multi-stage similarity matching method according to static characteristic information of the parking lot and the time sequence mode. And according to the busy degree information of the similar parking lot, predicting the number of unoccupied parking spaces and the busy degree of the parking lot with the unknown information at the target moment. The method has the effect of predicting the busy degree of the parking lot.

The present invention relates to the technical field of transportation demand management and parking pricing, and specifically to a parking reservation method in the urban central business district based on dynamic pricing, comprising the following steps, S1, traffic data acquisition, S2, key value calibration, S3, perceived utility calculation, S4, parking probability measurement, and S5, pricing strategy realization. The method of reserving parking spaces in the CBD of this city is aimed at addressing the serious imbalance between the supply and demand of parking resources. To alleviate the problem of parking difficulties in urban CBD areas and appropriately increase the revenue of parking lots by dynamically adjusting parking costs. At the same time, this method greatly reduces the cruising time of vehicles when searching for parking spaces, effectively reduces fuel waste and exhaust emissions during cruising, and largely avoids traffic congestion caused by the convergence of cruising vehicles and through traffic.

The invention provides a parking method and device and a vehicle, and can be applied to the field of intelligent driving. The method comprises the following steps: acquiring the position of a vehicle and the information of a target parking space; according to the position and the information of the target parking space, a parking path is planned, the parking path comprises a path for driving in a different-direction steering mode and a path for driving in a same-direction steering mode, and the direction of a front wheel turning angle of the vehicle is opposite to the direction of a rear wheel turning angle of the vehicle in the different-direction steering mode; the direction of a front wheel turning angle of the vehicle is the same as that of a rear wheel turning angle of the vehicle in the same-direction steering mode; and according to the first parking path, controlling the vehicle to park in the target parking space from the first position. The method can be applied to an electric automobile or an intelligent automobile, the parking efficiency of the automobile can be improved, and therefore the parking experience of a user can be improved.

The invention relates to a charging parking space intelligent occupation management linkage control method and system based on the Internet of Things, and belongs to the field of charging parking space management.The method comprises the steps that the state of a charging pile, the state of a parking space lock and occupation information are collected through Internet of Things equipment, and a dynamic parking space resource pool is constructed; based on knowledge graph semantic reasoning, matching parking spaces meeting vehicle type adaptation and available time periods, and combining historical late data of a user to set elastic reservation retention duration; the identity legality is verified by comparing the information of the reserved vehicle with the information of the actual parking vehicle; and when the charging pile is controlled to start charging and the parking space lock is unlocked, the block chain is synchronously associated to generate the transaction voucher, and the transaction record uploading is completed based on the voucher after the charging is finished, so that the technical effects of efficient matching and dynamic management of the charging parking space resources are realized.

The invention provides an electric power optical communication positioning system and method based on a PLC, and relates to the technical field of PLC electric power optical communication. After a real-time user starts a mobile terminal camera, a real-time optical signal of a target lamp is captured through the camera; the mobile terminal obtains a real-time ID and a real-time physical coordinate by decoding the real-time optical signal; after receiving a target parking space number input by a real-time user, the mobile terminal matches a parking space lamp ID and a parking space physical coordinate pre-bound with the target parking space number; and calculating a navigation path according to the real-time physical coordinates and the parking space physical coordinates, and outputting a real-time navigation path. The technical problem that in the prior art, due to the fact that underground space positioning is high in cost, poor in precision and prone to interruption of positioning communication, sub-meter continuous positioning and intensive management are difficult to carry out in a network-free underground space is solved. The comprehensive technical effects of remarkably saving the cost, improving the positioning precision, optimizing the user experience and enhancing the management efficiency are achieved.

The present disclosure relates to a motor vehicle, including a projection system having at least one first and at least one second projection device. The at least one first projection device has at least one first light source and the at least second projection device has at least one second light source, where at least one first light projection can be projected into surroundings of the motor vehicle by the at least first projection device. The at least first light projection defines an actual position of the stationary motor vehicle, and at least one second light projection can be projected into surroundings of the motor vehicle by the at least second projection device. The at least second light projection defines a target position defining a parking position of the motor vehicle. The at least second projection device can be set by the user to change the target position. A deviation between the actual position and the target position can be determined via a detection device. Depending on the determined deviation, control parameters for performing an autonomous driving maneuver, in the context of which the motor vehicle can be maneuvered autonomously into the parking position, can be determined via a control device.

The invention discloses a parking lot virtual green wave guiding method and related equipment. The core is to construct a space-time resource map, plan a path according to the space-time resource map, reserve a time window to form a virtual green wave band, issue an instruction to a vehicle terminal and an intelligent barrier gate, monitor vehicle position deviation, and trigger local re-planning if a threshold value is exceeded. According to the scheme, the defects in the prior art are accurately overcome, global space-time resource overall planning is achieved through a space-time resource map, an exclusive time window is reserved for vehicles, multi-vehicle path conflicts are eliminated from the source, and the defects of lack of global view and active scheduling are overcome; static road network navigation is replaced by a space and time coordinated virtual green wave band, vehicles are actively guided to pass orderly, microscopic traffic congestion is effectively solved, and the in-field passing efficiency is greatly improved; through a real-time monitoring and local re-planning mechanism, emergency situations such as vehicle faults can be rapidly handled, congestion diffusion is avoided, traffic flow stability is guaranteed, and finally seamless and non-stop passing of the vehicle from an entrance to a parking space is achieved.