Parking guidance method and system for solving parking lot congestion phenomenon
By predicting vehicle departure times and parking space status information, and using a parking guidance system to guide vehicles rationally, potential congestion problems in parking lots are solved, and efficient management within the garage is achieved.
Patent Information
- Application Number
- CN202310814171.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-05
- Publication Date
- 2025-11-18
- Estimated Expiration
- 2043-07-05
AI Technical Summary
Existing technology cannot effectively guide vehicles entering the parking lot, leading to potential congestion that cannot be effectively avoided.
By predicting vehicle departure times and using parking guidance systems to collect parking space status information, the system can predict vehicle departure times and guide vehicles to lanes with the fewest occupied vehicles and available spaces, thus alleviating exit pressure.
Effectively predicting vehicle departure times reduces congestion within the parking garage, and guiding incoming vehicles in a reasonable manner disperses potential congestion, thereby improving parking lot management efficiency.
Smart Images
Figure CN116778746B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a parking guidance method and system for solving parking lot congestion. Background Technology
[0002] With the rapid increase in car ownership, the contradiction between cars and parking spaces in cities is becoming increasingly prominent. In cities where land is extremely valuable, underground parking lots and multi-story parking garages, which occupy less space but have a large capacity, are increasingly becoming the main means of alleviating urban parking pressure.
[0003] Parking guidance in parking lots is generally based on the number of available parking spaces, and drivers will actively drive towards areas with more available parking spaces.
[0004] As a result, the concentrated entry of vehicles into the garage causes localized congestion; and the concentrated entry time is accompanied by a concentrated exit time, which can also easily cause localized congestion during peak departure times.
[0005] Displaying the remaining parking spaces in each area of the garage, and then using the prediction of vehicle departure times to guide vehicles entering the garage in a reasonable manner to avoid potential congestion, has strong practical significance. Summary of the Invention
[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the existing technology in which parking lots cannot reasonably guide vehicles entering the parking lot and cannot avoid potential congestion. The present invention provides a parking guidance method and system for solving parking lot congestion by predicting the departure time of parked vehicles in the parking lot, estimating the potential congestion of the lane, and guiding vehicles entering the parking lot to park in designated areas to disperse the relatively concentrated exit pressure in time and space.
[0007] The present invention solves the above-mentioned technical problems through the following technical solution:
[0008] A parking guidance method for solving parking lot congestion is implemented through a parking guidance system, characterized in that the parking guidance system includes a data acquisition module, a guidance module, and a processing module. The data acquisition module is used to collect the status information of each parking space, and the parking guidance method includes:
[0009] The processing module obtains the time when a vehicle enters a parking space through status information and predicts the time when a vehicle leaves.
[0010] The processing module obtains the number of vehicles occupying the passageway in front of the parking space based on the time the vehicle leaves.
[0011] The processing module obtains the target channel based on the number of vehicles occupied and their status information. The target channel has the fewest vehicles occupied and has parking spaces with an empty status.
[0012] The guidance module directs the vehicle to the target channel.
[0013] Preferably, the parking guidance method includes:
[0014] For a target vehicle, obtain the time period during which the target vehicle departs;
[0015] The processing module obtains the number of vehicles that leave their parking spaces during the vehicle departure time period as the number of vehicles occupied.
[0016] Preferably, the predicted vehicle departure time includes:
[0017] The processing module obtains the vehicle exit time by the vehicle entry time and the average parking time.
[0018] The vehicle departure time period is obtained based on the vehicle departure time and the preset duration. The vehicle departure time period is greater than the difference between the vehicle departure time and the preset duration and less than the sum of the vehicle departure time and the preset duration.
[0019] The processing module obtains the number of vehicles that left their parking spaces during the vehicle departure time period, including:
[0020] For a target parking space, the processing module obtains the vehicle exit coefficient of the target parking space during the vehicle exit time period. The higher the coefficient, the higher the probability of the vehicle exiting the parking space. The lower the coefficient, the lower the probability of the vehicle exiting the parking space or the parking space is vacant. The coefficient is obtained based on the vehicle exit time period and the vehicle exit time.
[0021] The processing module obtains the number of vehicles that leave their parking spaces during the vehicle departure period based on the coefficient.
[0022] Preferably, the coefficient is represented by 1 and 0. When the time of departure of the vehicle in the target parking space belongs to the vehicle departure time of the target vehicle, the coefficient of the target parking space is 1. When the time of departure of the vehicle in the target parking space does not belong to the vehicle departure time of the target vehicle or is vacant, the coefficient of the target parking space is 0.
[0023] Preferably, the passageways in front of the parking spaces are all one-way streets, and the passageways include several areas, each area corresponding to several parking spaces. The processing module obtains the number of vehicles leaving their respective parking spaces during the vehicle departure period based on the coefficient, including:
[0024] For a target area, the processing module uses the coefficient to calculate the number of vehicles leaving their parking spaces during the vehicle departure period. The number of vehicles in the target area is equal to the sum of the coefficients of all parking spaces in the preceding area on the same lane plus the sum of the coefficients of the parking spaces in the target area.
[0025] Preferably, the processing module obtains the target channel based on the number of vehicles occupying the channel and their status information, including:
[0026] The processing module obtains the area with the fewest vehicles during the vehicle departure time of the target vehicle, and determines whether there are any empty parking spaces in the area with the fewest vehicles. If so, the guidance module guides the vehicle to the area with the fewest vehicles. Otherwise, the area with the fewest vehicles is removed and the step of obtaining the area with the fewest vehicles during the vehicle departure time of the target vehicle is executed again.
[0027] Preferably, the parking guidance method includes:
[0028] The processing module obtains the vehicle departure time for each vehicle;
[0029] The processing module obtains the overlap rate between the exit times of vehicles entering the parking space and the exit times of vehicles located in the parking space.
[0030] For the target vehicle, the processing module obtains the vehicle exit parking space coefficient based on the overlap rate between the target vehicle and the entering vehicle. The larger the overlap rate, the closer the vehicle exit parking space coefficient is to 1. When the overlap rate is 0 or the space is empty, the coefficient of the target parking space is 0.
[0031] Preferably, the data acquisition module includes an infrared sensor mounted above the parking space and indicator lights, the indicator lights including green and red lights.
[0032] The guidance module includes a display screen located at the parking lot entrance, the display screen showing guidance information or map guidance images of the target passage; and / or,
[0033] The guidance module includes several indicator lights located at the front end of the passageway in front of the parking space, and the indicator lights include green lights and red lights.
[0034] Preferably, the parking guidance method includes:
[0035] Get the time period when vehicles leave each parking space;
[0036] For the target vehicle, the processing module obtains the number of vehicles in the statistics as the number of vehicles occupied. The number of vehicles in the statistics includes the time when the target vehicle enters the parking lot.
[0037] The present invention also provides a parking guidance system for implementing the parking guidance method described above.
[0038] Based on common knowledge in the field, the above-mentioned preferred conditions can be combined arbitrarily to obtain various preferred embodiments of the present invention.
[0039] The positive and progressive effects of this invention are as follows:
[0040] By estimating vehicle departure times, congestion within the garage can be assessed, and potential congestion can be mitigated by guiding incoming vehicles.
[0041] This invention not only calculates the arrival and departure times of individual parking spaces but also considers the congestion situation of each lane within the garage. Clearly, parking spaces closer to the exit are less likely to experience exit congestion, and areas with higher parking volume closer to the exit are more prone to congestion. The application of this invention also aligns with conventional understanding. Attached Figure Description
[0042] Figure 1 This is a schematic diagram of the parking lot structure in the parking guidance system of Embodiment 1 of the present invention.
[0043] Figure 2 This is a flowchart of the parking guidance method according to Embodiment 1 of the present invention. Detailed Implementation
[0044] The present invention will be further illustrated by way of embodiments below, but the present invention is not limited to the scope of the embodiments described herein.
[0045] Example 1
[0046] See Figure 1 , Figure 2 This embodiment provides a parking guidance system for solving parking lot congestion. The parking guidance system includes a data acquisition module, a guidance module, and a processing module.
[0047] The processing module described in this embodiment can be a server, desktop computer, or other device or apparatus with computing capabilities.
[0048] The acquisition module is used to collect status information of each parking space. The acquisition module includes an infrared sensor installed above the parking space and an indicator light, which includes a green light and a red light.
[0049] In other embodiments, the data acquisition module can perform image recognition via a camera to monitor and collect status information. Indicator lights are used to show whether a parking space is occupied; red indicates occupied, and green indicates vacant.
[0050] The processing module is used to obtain the time when a vehicle enters a parking space through status information and to predict the time when a vehicle leaves.
[0051] The processing module is used to obtain the number of vehicles occupying the passageway in front of the parking space based on the time period when the vehicle leaves.
[0052] The processing module is used to obtain a target channel based on the number of vehicles occupied and their status information. The target channel has the fewest vehicles occupied and has parking spaces with an empty status.
[0053] The guidance module is used to guide vehicles to the target channel.
[0054] Furthermore, for a target vehicle, the processing module is used to obtain the vehicle's departure time.
[0055] The processing module is also used to obtain the number of vehicles that leave their parking spaces during the vehicle departure period as the number of vehicles occupied.
[0056] Specifically, the processing module is used to obtain the vehicle exit time by using the vehicle entry time and the average parking time;
[0057] The processing module is also used to obtain the vehicle departure time period based on the vehicle departure time and the preset duration, wherein the vehicle departure time period is greater than the difference between the vehicle departure time and the preset duration and less than the sum of the vehicle departure time and the preset duration.
[0058] The processing module is used to obtain the number of vehicles that left their parking spaces during the vehicle departure time period, including:
[0059] For a target parking space, the processing module is used to obtain the vehicle exit coefficient of the target parking space during the vehicle exit time period. The higher the coefficient, the higher the probability of the vehicle exiting the parking space. The lower the coefficient, the lower the probability of the vehicle exiting the parking space or the parking space is vacant. The coefficient is obtained based on the vehicle exit time period and the vehicle exit time.
[0060] The processing module is used to obtain the number of vehicles that leave their parking spaces during the vehicle departure time period based on the coefficient.
[0061] After a vehicle enters the garage via license plate recognition, the guidance process begins. Assume the entry time is t. 进 Then the time T for the prediction feedback of road congestion in the garage is That is, the time when the vehicle departs.
[0062] Assuming the target parking garage is not an office building or residential complex with concentrated entry and exit, but rather a high-turnover facility such as a shopping mall, supermarket, hospital, school, stadium, or theater, historical data shows the average parking time of vehicles in the garage is approximately...
[0063] See Figure 1 As shown, suppose a parking lot has the following layout. The parking spaces are labeled a1, a2, a3...a48.
[0064] The passageway in the garage that faces the parking space (the passageway in front of the parking space) is represented by L, and then segmented as L1, L2, L3...L8.
[0065] We need to predict the number of vehicles occupied in each lane at time T. Since it is difficult to predict at a fixed time, we predict the number of vehicles that may leave within the time period [T-10, T+10) min, that is, the number of vehicles occupied within 20 minutes before and after T.
[0066] Furthermore, the coefficient is represented by 1 and 0. When the time of departure of the vehicle in the target parking space belongs to the time period of departure of the target vehicle, the coefficient of the target parking space is 1. When the time of departure of the vehicle in the target parking space does not belong to the time period of departure of the target vehicle or is vacant, the coefficient of the target parking space is 0.
[0067] Determine whether each parking space is likely to be vacated within the time interval [T-10, T+10). Define h. i For parking space a i The corresponding departure coefficient. If parking space a i If there is a car, then a i The vehicle arrives at time t. ai The estimated departure time is like Then h i The value is assigned to 1; h indicates that the car is not leaving or there is no car parked in the space. i The value is assigned to 0.
[0068] In this embodiment, the passageways in front of the parking spaces are all one-way streets, and the passageways include several areas, each area corresponding to several parking spaces.
[0069] For a target area, the processing module is used to calculate the number of vehicles leaving their parking spaces during the vehicle departure period using the coefficients. The number of vehicles in the target area is equal to the sum of the coefficients of all parking spaces in the preceding area on the same lane plus the sum of the coefficients of the parking spaces in the target area.
[0070] If the target area is the first area on the passage, then the sum of the coefficients of all parking spaces in the area ahead is zero.
[0071] Calculate the number of vehicles that may appear in channel Li within [T-10, T+10) min.
[0072] Define Q i This represents the number of departing vehicles corresponding to the target area Li in the channel. Within the same one-way channel, subsequent channels represent the sum of the demands of previous channels. For example, L1 corresponds to Q1 = h1 + h2 + h3 + h 13 +h 14 +h 15L2 corresponds to Q2 = Q1 + h4 + h5 + h6 + h 16 +h 17 +h 18 Vehicles need to drive towards the exit to leave the site, so vehicles that have passed through the previous lane on the same path must pass through the subsequent lane.
[0073] The processing module is used to obtain the area with the fewest vehicles during the vehicle departure time of the target vehicle, and determine whether there are any empty parking spaces in the area with the fewest vehicles. If so, the guidance module guides the vehicle to the area with the fewest vehicles. Otherwise, the area with the fewest vehicles is removed and the step of obtaining the area with the fewest vehicles during the vehicle departure time of the target vehicle is executed again.
[0074] Find the road segment with the least exit traffic pressure and available parking spaces in the surrounding area within the time period [T-10, T+10) min.
[0075] Using the time interval [T-10min, T+10min) as the starting point, find Min(Qi) and locate L. min It then determines whether a parking space exists. If yes, it guides the incoming vehicle to park there; if no, it removes that section of road and continues searching for Min(Qi) until an vacant parking space L is found along the route. min Until then, one of the vacant parking spaces will be randomly assigned.
[0076] Furthermore, the processing module is also used for:
[0077] Get the time period when vehicles leave each parking space;
[0078] For the target vehicle, the processing module obtains the number of vehicles in the statistics as the number of vehicles occupied. The number of vehicles in the statistics includes the time when the target vehicle enters the parking lot.
[0079] Furthermore, this embodiment takes into account the number of vehicles occupied when entering and exiting, and performs vehicle guidance according to the weights.
[0080] The guidance module includes a display screen located at the entrance of the parking lot, which displays guidance information or map guidance images of the target passage.
[0081] In other embodiments, the guidance module includes several indicator lights located at the front end of the passageway in front of the parking space, the indicator lights including green lights and red lights.
[0082] Vehicles are guided to their assigned parking spaces via displays and signs.
[0083] See Figure 2 Using the above-described parking guidance system, this embodiment also provides a parking guidance method, including:
[0084] The processing module obtains the time when a vehicle enters a parking space through status information and predicts the time when a vehicle leaves.
[0085] The processing module obtains the number of vehicles occupying the passageway in front of the parking space based on the time the vehicle leaves.
[0086] The processing module obtains the target channel based on the number of vehicles occupied and their status information. The target channel has the fewest vehicles occupied and has parking spaces with an empty status.
[0087] The guidance module directs the vehicle to the target channel.
[0088] Furthermore, the parking guidance method includes:
[0089] For a target vehicle, obtain the time period during which the target vehicle departs;
[0090] The processing module obtains the number of vehicles that leave their parking spaces during the vehicle departure time period as the number of vehicles occupied.
[0091] The predicted vehicle departure time period includes:
[0092] The processing module obtains the vehicle exit time by the vehicle entry time and the average parking time.
[0093] The vehicle departure time period is obtained based on the vehicle departure time and the preset duration. The vehicle departure time period is greater than the difference between the vehicle departure time and the preset duration and less than the sum of the vehicle departure time and the preset duration.
[0094] The processing module obtains the number of vehicles that left their parking spaces during the vehicle departure time period, including:
[0095] For a target parking space, the processing module obtains the vehicle exit coefficient of the target parking space during the vehicle exit time period. The higher the coefficient, the higher the probability of the vehicle exiting the parking space. The lower the coefficient, the lower the probability of the vehicle exiting the parking space or the parking space is vacant. The coefficient is obtained based on the vehicle exit time period and the vehicle exit time.
[0096] The processing module obtains the number of vehicles that leave their parking spaces during the vehicle departure period based on the coefficient.
[0097] Specifically, the coefficient is represented by 1 and 0. When the time of departure of the vehicle in the target parking space belongs to the time period of departure of the target vehicle, the coefficient of the target parking space is 1. When the time of departure of the vehicle in the target parking space does not belong to the time period of departure of the target vehicle or is vacant, the coefficient of the target parking space is 0.
[0098] Furthermore, the passageways in front of the parking spaces are all one-way streets, and each passageway includes several areas, with each area corresponding to several parking spaces. The processing module obtains the number of vehicles leaving their respective parking spaces during the vehicle departure period based on the coefficient, including:
[0099] For a target area, the processing module uses the coefficient to calculate the number of vehicles leaving their parking spaces during the vehicle departure period. The number of vehicles in the target area is equal to the sum of the coefficients of all parking spaces in the preceding area on the same lane plus the sum of the coefficients of the parking spaces in the target area.
[0100] Furthermore, the processing module obtains the target channel based on the number of vehicles occupying the channel and their status information, including:
[0101] The processing module obtains the area with the fewest vehicles during the vehicle departure time of the target vehicle, and determines whether there are any empty parking spaces in the area with the fewest vehicles. If so, the guidance module guides the vehicle to the area with the fewest vehicles. Otherwise, the area with the fewest vehicles is removed and the step of obtaining the area with the fewest vehicles during the vehicle departure time of the target vehicle is executed again.
[0102] Specifically, one specific method of the parking guidance method in this embodiment is as follows:
[0103] Step 100: Vehicle entry identification.
[0104] Specifically, the system uses cameras to acquire status information such as license plate numbers and entry times. The processing module then uses this status information to determine the time a vehicle entered the parking space.
[0105] Step 101: Obtain the vehicle's departure time.
[0106] The processing module obtains the vehicle exit time by the vehicle entry time and the average parking time.
[0107] Step 102: Obtain the time period during which the vehicle departed.
[0108] Step 103: Confirm the time when the vehicle leaves each parking space.
[0109] For a target parking space, the processing module obtains the vehicle exit coefficient of the target parking space during the vehicle exit time period. The higher the coefficient, the higher the probability of the vehicle exiting the parking space. The lower the coefficient, the lower the probability of the vehicle exiting the parking space or the parking space is vacant. The coefficient is obtained based on the vehicle exit time period and the vehicle exit time.
[0110] Step 104: Determine if the target parking space is vacant. If yes, proceed to step 105; otherwise, proceed to step 106.
[0111] Step 105: The vehicle exit coefficient of the target parking space is 0, then proceed to step 109.
[0112] Step 106: Determine whether the vehicle in the target parking space has left during the vehicle departure period. If yes, proceed to step 107; otherwise, proceed to step 108.
[0113] Step 107: The vehicle exit coefficient of the target parking space is 1, then proceed to step 109.
[0114] Step 108: The vehicle exit coefficient of the target parking space is 0, then proceed to step 109.
[0115] Step 109: Has the coefficient calculation for each parking space been completed? If yes, proceed to step 110; otherwise, proceed to step 104 again.
[0116] Step 110: Obtain the area with the minimum number of vehicles during the time period when the target vehicle leaves.
[0117] Step 111: Determine if there are any empty parking spaces in the area with the fewest vehicles. If so, proceed to step 112. Otherwise, remove the area with the fewest vehicles and proceed to step 110 again.
[0118] Step 112: Guide the vehicle to a random vacant parking space in the area with the fewest vehicles using the guidance module.
[0119] The positive and progressive effects of this embodiment are as follows:
[0120] By estimating vehicle departure times, congestion within the garage can be assessed, and potential congestion can be mitigated by guiding incoming vehicles.
[0121] This invention not only calculates the arrival and departure times of individual parking spaces but also considers the congestion situation of each lane within the garage. Clearly, parking spaces closer to the exit are less likely to experience exit congestion, and areas with higher parking volume closer to the exit are more prone to congestion. The application of this invention also aligns with conventional understanding.
[0122] Example 2
[0123] This embodiment is basically the same as Embodiment 1, except that:
[0124] The processing module is used to obtain the time period during which each vehicle leaves the station;
[0125] The processing module is used to obtain the overlap rate of the vehicle exit time of the vehicle that enters the parking space and the vehicle exit time of the vehicle located in the parking space.
[0126] For the target vehicle, the processing module is used to obtain the vehicle exit parking space coefficient based on the overlap rate between the target vehicle and the entering vehicle. The larger the overlap rate, the closer the vehicle exit parking space coefficient is to 1. When the overlap rate is 0 or the space is empty, the coefficient of the target parking space is 0.
[0127] Correspondingly, the parking guidance method includes:
[0128] The processing module obtains the vehicle departure time for each vehicle;
[0129] The processing module obtains the overlap rate between the exit times of vehicles entering the parking space and the exit times of vehicles located in the parking space.
[0130] For the target vehicle, the processing module obtains the vehicle exit parking space coefficient based on the overlap rate between the target vehicle and the entering vehicle. The larger the overlap rate, the closer the vehicle exit parking space coefficient is to 1. When the overlap rate is 0 or the space is empty, the coefficient of the target parking space is 0.
[0131] While specific embodiments of the present invention have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of the present invention is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but all such changes and modifications fall within the scope of protection of the present invention.
Claims
1. A parking guidance method for solving parking lot congestion, implemented through a parking guidance system, characterized in that, The parking guidance system includes a data acquisition module, a guidance module, and a processing module. The data acquisition module is used to collect status information of each parking space. The parking guidance method includes: The processing module obtains the time when a vehicle enters a parking space through status information and predicts the time when a vehicle leaves. The processing module obtains the number of vehicles occupying the passageway in front of the parking space based on the time the vehicle leaves. The processing module obtains the target channel based on the number of vehicles occupied and their status information. The target channel has the fewest vehicles occupied and has parking spaces with an empty status. The guidance module guides the vehicle to the target channel; The parking guidance method includes: For a target vehicle, obtain the time period during which the target vehicle departs; The processing module obtains the number of vehicles that leave their parking spaces during the vehicle departure time period as the number of vehicles occupied. The predicted vehicle departure time period includes: The processing module obtains the vehicle exit time by the vehicle entry time and the average parking time. The vehicle departure time period is obtained based on the vehicle departure time and the preset duration. The vehicle departure time period is greater than the difference between the vehicle departure time and the preset duration and less than the sum of the vehicle departure time and the preset duration. The processing module obtains the number of vehicles that left their parking spaces during the vehicle departure time period, including: For a target parking space, the processing module obtains the vehicle exit coefficient of the target parking space during the vehicle exit time period. The higher the coefficient, the higher the probability of the vehicle exiting the parking space. The lower the coefficient, the lower the probability of the vehicle exiting the parking space or the parking space is vacant. The coefficient is obtained based on the vehicle exit time period and the vehicle exit time. The processing module obtains the number of vehicles leaving their parking spaces during the vehicle departure time period based on the coefficient. The coefficient is represented by 1 and 0. When the time of departure of the vehicle in the target parking space belongs to the time period of departure of the target vehicle, the coefficient of the target parking space is 1. When the time of departure of the vehicle in the target parking space does not belong to the time period of departure of the target vehicle or is vacant, the coefficient of the target parking space is 0. The passageways in front of the parking spaces are all one-way streets. Each passageway includes several areas, and each area corresponds to several parking spaces. The processing module obtains the number of vehicles leaving their respective parking spaces during the specified time period based on the coefficient, including: For a target area, the processing module uses the coefficient to calculate the number of vehicles leaving their parking spaces during the vehicle departure period. The number of vehicles in the target area is equal to the sum of the coefficients of all parking spaces in the preceding area on the same lane plus the sum of the coefficients of the parking spaces in the target area.
2. The parking guidance method as described in claim 1, characterized in that, The processing module obtains the target channel based on the number of vehicles occupying the channel and their status information, including: The processing module obtains the area with the fewest vehicles during the vehicle departure time of the target vehicle, and determines whether there are any empty parking spaces in the area with the fewest vehicles. If so, the guidance module guides the vehicle to the area with the fewest vehicles. Otherwise, the area with the fewest vehicles is removed and the step of obtaining the area with the fewest vehicles during the vehicle departure time of the target vehicle is executed again.
3. The parking guidance method as described in claim 1, characterized in that, The parking guidance method includes: The processing module obtains the time period during which each vehicle departs; The processing module obtains the overlap rate between the exit times of vehicles entering the parking space and the exit times of vehicles located in the parking space. For the target vehicle, the processing module obtains the vehicle exit parking space coefficient based on the overlap rate between the target vehicle and the entering vehicle. The larger the overlap rate, the closer the vehicle exit parking space coefficient is to 1. When the overlap rate is 0 or the space is empty, the coefficient of the target parking space is 0.
4. The parking guidance method as described in claim 1, characterized in that, The data acquisition module includes an infrared sensor mounted above the parking space and indicator lights, including green and red lights. The guidance module includes a display screen located at the parking lot entrance, the display screen showing guidance information or map guidance images of the target passage; and / or, The guidance module includes several indicator lights located at the front end of the passageway in front of the parking space, and the indicator lights include green lights and red lights.
5. The parking guidance method as described in claim 1, characterized in that, The parking guidance method includes: Get the time period when vehicles leave each parking space; For the target vehicle, the processing module obtains the number of vehicles in the statistics as the number of vehicles occupied. The number of vehicles in the statistics includes the time when the target vehicle enters the parking lot.
6. A parking guidance system, characterized in that, The parking guidance system is used to implement the parking guidance method as described in any one of claims 1 to 5.
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