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CN-121999628-A - Urban intelligent parking planning method and system

CN121999628ACN 121999628 ACN121999628 ACN 121999628ACN-121999628-A

Abstract

The invention relates to the technical field of intelligent parking, in particular to an urban intelligent parking planning method and system. The method comprises the steps of firstly, respectively constructing a construction concert information set and a construction parking information set by collecting concert information and parking information of n public parking lots in a city, secondly, predicting parking demand of the venue where the concert is located according to the concert information set, secondly, obtaining real-time positions of users and road data of the real-time positions to the venue, predicting first time of the users reaching the venue according to the real-time positions, the road data, the parking demand and the concert information, and finally, outputting a matching list according to a matching result when the first time is larger than an expected value. The urban intelligent parking planning method and system can effectively improve the convenience of parking in the concert.

Inventors

  • CHANG YONGGUI
  • GAO YA

Assignees

  • 常永贵

Dates

Publication Date
20260508
Application Date
20231205

Claims (10)

  1. 1. An urban intelligent parking planning method is characterized by comprising the following steps: Collecting the parking information of n public parking lots in the city to construct a parking information set; The concert information comprises venue information and singer information; the venue information comprises a distance d c of a venue from a city center, the number num c of audiences which can be accommodated in the venue, an upper seat rate L c of a venue history holding concert and venue network heat R c ; The singer information comprises the number of singing sessions developed by the singer history Average ticket selling quantity per concert of singer Average price per concert of singers, average rate of taking sings per concert of singers L y and network heat of singers R y ; Predicting the parking demand of the venue where the concert is located according to the concert information set, and outputting a parking demand predicted value; Predicting a first time for the user to arrive at the venue according to the real-time position, the road data, the parking demand predicted value and the concert information; the calculation formula of the first time is as follows: Wherein T DC is denoted as a first time, T dc is denoted as a predicted arrival time of the navigation software; expressed as concert start time; The vehicle flow of the venue is represented as a corresponding time period of 7*i days before the start of the concert, i is a positive integer, C xq is represented as a predicted value of the parking demand, and eta c 、μ 1 、μ 2 、μ 3 and mu 4 are adjustment parameters; When the first time is greater than an expected value T QW , matching user matching information with the parking information set; and outputting a matching list according to the matching result.
  2. 2. The urban intelligent parking planning method according to claim 1, wherein: the parking information set comprises n public parking lot parking information subsets; the parking information comprises the number of parking spaces in a public parking lot, the position of the public parking lot, the properties of the parking spaces and parking charging standards; The parking space attribute comprises the size and the state of each parking space in the public parking lot; The parking space state comprises unoccupied and occupied; the real-time location to venue road data includes navigation software predicting time of arrival at the venue and historical traffic flow at the venue; the user matching information includes a real-time location of the user and a vehicle size.
  3. 3. The urban intelligent parking planning method according to claim 1, wherein: The calculation formula of the average attendance rate L c of the venue historic concert is as follows: Wherein A is expressed as the number of stadium histories holding the concert, num c is expressed as the number of stadium receivable spectators, and num ω is expressed as the actual number of spectators of the omega-th concert; The calculation formula of the average attendance rate L y of each singer in the singing concert is as follows: Wherein, the Representing the number of the singing sessions developed by the singer history; Expressed as the average number of tickets sold per concert for the singer, and num σ expressed as the number of viewers the singer sigma-th concert can accommodate.
  4. 4. The urban intelligent parking planning method of claim 1, wherein the venue network hotness and the singer network hotness comprise: the venue network popularity is calculated according to the number of attentives of the venue official account numbers in different social media platforms and the visit times of the venue official account numbers in a set time t; the venue network heat calculation formula is as follows: Wherein R c is represented as the venue network hotness, n is represented as the number of counted social media platforms, p i is represented as the number of attentives of the venue official account in the ith social media platform, and f ti is represented as the number of times of access of the venue official account in the ith social media platform in time t; The singer network popularity is calculated according to the number of attentives of the singer accounts in different social media platforms, the access times of the singer accounts in a set time t and the access times of the singer accounts in the set time t; the singer network heat calculation formula is as follows: wherein, R y is expressed as the singer network hotness, n is expressed as the number of the counted social media platforms; A number of attention persons represented as a singer account number in the ith social media platform; And representing the number of times of access of the singer account number in the ith social media platform in time t.
  5. 5. The urban intelligent parking planning method according to claim 1, wherein predicting the parking demand of the venue in which the concert is located comprises: Adopting an SVR model to predict parking requirements; The SVR model is obtained by training the urban historical singing information and the corresponding parking demand; and inputting the concert information into an SVR model, and outputting a parking demand predicted value C xq .
  6. 6. The urban intelligent parking planning method according to claim 1, wherein the process of matching the user's matching information with the parking information of the urban public parking lot comprises: Matching the matching information with the parking space size in each public parking lot parking information subset in the parking information set, and calculating a first quantity that unoccupied parking spaces in the public parking lot parking information subset meet the condition that long w -long l is more than or equal to 0.5 and weight w -weight l is more than or equal to 0.5, wherein long w and weight w are respectively represented as the length and the width of the parking spaces, and long l and weight l are respectively represented as the length and the width of the vehicle; removing a first number of 0 parking information subsets of the public parking lot in the parking information sets, and outputting a first parking information set; Dividing the first parking information set into a second parking information set and a third parking information set according to the position of the public parking lot, wherein the second parking information set comprises n 1 public parking information subsets, the third parking information set comprises n 2 public parking information subsets, n 1 +n 2 is less than or equal to n, and n is the number of the public parking information subsets contained in the parking information sets; when the public parking lot and the concert are in the place difference Classifying the public parking lot into a second parking information set when Classifying the public parking lot into a third parking information set; expressed as a set position difference; predicting a second time for the user to reach the venue based on the parking information in the second set of parking information and the third set of parking information and the matching information; and predicting a second time calculation formula for the user to arrive at the venue according to the parking information in the second parking information set and the matching information, wherein the second time calculation formula comprises the following steps: Wherein, the Representing a predicted time for the user to park in the k-th public parking lot in the second set of parking information and to reach the venue; Representing a navigation software predicted time of arrival of the user at a kth public parking lot in the second set of parking information; indicating a time required for parking in a kth public parking lot in the second set of parking information; Representing the position difference between the kth public parking lot and the venue where the concert is located in the second parking information set, wherein beta 1 is an adjustment parameter; and predicting a second time calculation formula for the user to arrive at the venue according to the parking information in the third parking information set and the matching information, wherein the second time calculation formula comprises the following steps: Wherein, the Representing a predicted time for the user to park in the k-th public parking lot in the third set of parking information and to reach the venue; Representing a navigation software predicted time of arrival of the user at a kth public parking lot in the third set of parking information; indicating a time required for parking in a kth public parking lot in the third set of parking information; And beta 2 is an adjustment parameter, which represents the time required for taking public transportation from the kth public parking lot to the singing hall in the third parking information set.
  7. 7. The urban intelligent parking planning method according to claim 6, wherein: removing the public parking lot parking information subset with the second time longer than the first time in the second parking information set to obtain a fourth parking information set; Removing the public parking lot parking information subset with the second time longer than the first time in the third parking information set to obtain a fifth parking information set; And sequencing the second time corresponding to each public parking lot parking information subset in the fourth parking information set and the fifth parking information set from small to large, outputting parking information corresponding to the first m public parking lot parking information subsets, and obtaining a matching list.
  8. 8. An urban intelligent parking planning system, comprising: the system comprises an acquisition unit, a parking information collection unit and a control unit, wherein the acquisition unit is used for acquiring singing information and constructing a singing information set; the prediction unit is used for predicting the parking requirement of the venue where the concert is located, the first time when the user arrives at the venue and the second time when the user arrives at the venue; The matching unit is used for matching according to the matching information of the user and the parking information of the parking information set; And the output unit is used for outputting the matching list.
  9. 9. The urban intelligent parking planning system according to claim 8, wherein: The concert information comprises venue information and singer information; The venue information comprises a distance d c of the venue from a city center, the number num c of audiences which can be accommodated in the venue, an up-setting rate L c of a venue history-held concert and a network heat R c of the venue; The singer information includes the number of singing sessions performed by the singer history Average ticket sales per concert of the singer The average price of each concert of the concert, the average rate of taking a seat of each concert of the singer L y and the network heat R y of the singer; the parking information set comprises n public parking lot parking information subsets; the parking information comprises the number of parking spaces of the public parking lot, the public parking lot position, the parking space attribute and a parking charging standard; the parking space attribute comprises the size of each parking space in the public parking lot and whether the parking space is occupied or not; the matching information includes a real-time location of the user and a vehicle size.
  10. 10. The urban intelligent parking planning system of claim 9, wherein said network hotness comprises: the venue network popularity is calculated according to the number of attentives of the venue official account numbers in different social media platforms and the visit times of the venue official account numbers in a set time t; the venue network heat calculation formula is as follows: Wherein R c is represented as the venue network hotness, n is represented as the number of counted social media platforms, p i is represented as the number of attentives of the venue official account in the ith social media platform, and f ti is represented as the number of times of access of the venue official account in the ith social media platform in time t; The singer network popularity is calculated according to the number of attentives of the singer accounts in different social media platforms, the access times of the singer accounts in a set time t and the access times of the singer accounts in the set time t; the singer network heat calculation formula is as follows: wherein, R y is expressed as the singer network hotness, n is expressed as the number of the counted social media platforms; A number of attention persons represented as a singer account number in the ith social media platform; And representing the number of times of access of the singer account number in the ith social media platform in time t.

Description

Urban intelligent parking planning method and system Technical Field The invention relates to the technical field of intelligent parking, in particular to an urban intelligent parking planning method and system. Background With the development of economy, private cars are increasing, which also causes a problem of difficulty in parking. Parking problems, particularly in large concerts and musical sections, have been one of the major problems that these activities need to address. The existing research on the parking planning of the singing venue is less, the parking demand of the singing venue is influenced by various factors, and the parking demand needs to be adjusted according to the parking space. For the parking planning of the concert place, not only the parking demand of the concert place is calculated, but also the parking space resources of the public parking lot around the concert place are matched according to the parking space resources, so that the problem that the concert place is inconvenient to park is solved. In order to solve the problem of inconvenient parking of a singing place, an urban intelligent parking planning method and system are provided. Disclosure of Invention The invention aims to provide an urban intelligent parking planning method and system, which are used for predicting the parking demand of a concert on the same day through stadium information and singer information of the concert, and adjusting the parking fee of the stadium according to a prediction result. And then acquiring the parking reservation information of the user, matching the parking reservation information with the parking information of the public parking lots in the venue and the city, and outputting a matching result. In order to achieve the above purpose, the present invention provides the following technical solutions: An urban intelligent parking planning method, comprising: Collecting singing information, constructing a singing information set, and collecting parking information of n public parking lots in a city, and constructing a parking information set. Further, the concert information comprises venue information and singer information, the venue information comprises a distance d c of a venue from a city center, a venue-capable audience quantity num c, a venue historic venue rate L c and a venue network heat degree R c, the singer information comprises a singer historic development concert quantity s hy, a singer average ticket selling quantity s sy, a singer average ticket price per concert, a singer average singing rate L y and a singer network heat degree R y, the parking information set comprises n public parking information subsets, the parking information comprises a parking space quantity of a public parking lot, a public parking lot position, a parking space attribute and a parking charging standard, the parking space attribute comprises a parking space size and a parking space state of each public parking lot, and the parking space state comprises unoccupied and occupied. Further, the calculation formula of the average attendance rate L c of the venue history holding concert is as follows: Wherein A is expressed as the number of stadium historic holding singing events, num c is expressed as the number of stadium holding audience, num ω is expressed as the actual number of audience of omega-th stadium, and the calculation formula of the average attendance rate L y of each stadium of the singers is as follows: Wherein, the Representing the number of the singing sessions developed by the singer history; Expressed as the average number of tickets sold per concert for the singer, and num σ expressed as the number of viewers the singer sigma-th concert can accommodate. Further, the venue network popularity is calculated according to the number of attentives of the venue official account in different social media platforms and the visit times of the venue official account in a set time t, and the venue network popularity calculation formula is as follows: wherein R c is represented as the venue network hotness, n is represented as the number of counted social media platforms, p i is represented as the number of attentives of the venue official account in the ith social media platform, and f ti is represented as the number of times of access of the venue official account in the ith social media platform in time t. Further, the singer network popularity is calculated according to the number of attentives of the singer account in different social media platforms, the access times of the singer account in a set time t and the access times of the singer account in the set time t, and the singer network popularity calculation formula is as follows: wherein, R y is expressed as the singer network hotness, n is expressed as the number of the counted social media platforms; A number of attention persons represented as a singer account number in the ith social media platform; And representing the num