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WO2018122813A1 - Procédé permettant la réservation de place de stationnement « premium » en accordant la priorité aux stationnements de courte durée et la fixation dynamique de tarifs - Google Patents

Procédé permettant la réservation de place de stationnement « premium » en accordant la priorité aux stationnements de courte durée et la fixation dynamique de tarifs Download PDF

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Publication number
WO2018122813A1
WO2018122813A1 PCT/IB2017/058543 IB2017058543W WO2018122813A1 WO 2018122813 A1 WO2018122813 A1 WO 2018122813A1 IB 2017058543 W IB2017058543 W IB 2017058543W WO 2018122813 A1 WO2018122813 A1 WO 2018122813A1
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WIPO (PCT)
Prior art keywords
parking
time
berth
vehicles
price
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PCT/IB2017/058543
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English (en)
Chinese (zh)
Inventor
杜豫川
王晨薇
蒋盛川
王金栋
施曙东
Original Assignee
同济大学
上海浦东路桥建设股份有限公司
许军
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 同济大学, 上海浦东路桥建设股份有限公司, 许军 filed Critical 同济大学
Priority to CN201780048086.7A priority Critical patent/CN110337680A/zh
Priority to GBGB1909413.5A priority patent/GB201909413D0/en
Publication of WO2018122813A1 publication Critical patent/WO2018122813A1/fr

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Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas

Definitions

  • the invention relates to a high quality berth reservation and dynamic pricing method with priority short stop.
  • Drivers tend to choose high-quality parking spaces that are convenient and safe to park. They are not willing to be remote, parking difficult, and difficult to find ordinary berths. Due to the shortage of quality berths, congestion and emissions will increase.
  • the present invention considers the number of high-quality parking berths, the characteristics of regional parking demand, the occupancy rate of parking spaces, etc., by means of incremental progressive charging, finely setting the charging price of high-quality berths and providing berth booking services to achieve limited
  • the high quality berths are preferentially provided for the purpose of vehicles with shorter parking lengths, so that more drivers can get comfortable and convenient parking services and shorter walking time, which improves the overall efficiency of the society.
  • a U.S. Patent Application Serial No. US20140122375 discloses a method for dynamically adjusting parking pricing based on real-time parking occupancy of a parking lot.
  • This pricing method needs to detect the real-time occupancy rate of the parking space through the smart sensor.
  • the comparison module compares the current occupancy rate with the target occupancy rate, and realizes the feedback control of the parking demand by adjusting the parking pricing in real time.
  • Figure 1 shows the flow chart for the implementation of this dynamic pricing method.
  • Figure 2 shows the change in parking demand, parking space occupancy, and set parking pricing for an implementation of this pricing method.
  • this pricing method improves the pricing of parking charges when it detects that the occupancy rate of the parking space exceeds the set target value, that is, when the parking demand is large, and suppresses the demand, thereby reducing the occupancy rate of the parking space to Set below the 85% threshold.
  • the system provides berth resources to the parking lot according to the principle of first-come first-served service, and does not consider the difference between the advantages and disadvantages of the berth resource conditions, and does not distinguish and select the parking time of the parking users. Therefore, the maximum utilization of high quality berth resources has not been realized.
  • Figure 3 shows the division of the berth category using this method in a parking lot.
  • the mark L is "large size berth”
  • the mark S is "safe berth”
  • the unmarked is the ordinary parking space.
  • the following table shows the classification of berths and pricing rules in one implementation of this method.
  • a Chinese patent application, CNid 00000063094751 discloses a method of regulating a parking guidance system that considers parking time.
  • the inductive system described in the method displays the parking condition of the area in the form of a road network diagram, and the inducing screen includes the berth information and the driving route of each parking lot in the area, and dynamically displays the road traffic condition of the road network and the parking lot of each parking lot.
  • Information on the difficulty level of parking This difficulty level information is given by different color identifications depending on the parking time range.
  • the control method of the parking guidance system is to calculate the parking time required by the driver in different parking lots in the current location selection area according to the parking time and select an appropriate manner for release, and the parking time of the parking lot considers the road section reaching the parking lot.
  • the driver's induction is determined only according to the current parking occupancy rate of different parking lots.
  • the convenience of parking resources is not distinguished, and the quality parking resources are not fully utilized.
  • a Chinese patent application, CN201510448131 discloses a parking dynamic pricing method based on demand characteristics and parking lot utilization.
  • a parking dynamic pricing method based on demand characteristics and parking lot utilization.
  • RP survey through the mobile APP to construct the parking lot probability equation of the parking lot or the parking lot area, to establish the relationship between parking utilization and parking lot attributes (including price), and then combined with the detector
  • the regional parking flow data can optimize the parking lot utilization rate of the parking lot by adjusting the parking price of the parking lot, and reach the previously set target, thereby realizing the reasonable dynamic pricing of the parking lot.
  • the prices of all berths within a particular parking lot are the same, ie, the convenience of different berths inside the parking lot is not differentiated.
  • a Chinese patent application, CNid00000071874281 discloses an intelligent parking space parking mechanism algorithm based on an optimal berth model.
  • the method includes the determination of the optimal berth model of the parking lot, the drawing of the weight map of the road network and the design and programming of the parking space induction algorithm.
  • the optimal berth is determined according to the driving distance of the vehicle entering the parking space, the walking distance from the parking lot and the personal safety.
  • a mathematical model is established with the shortest path method in which the sum of the three distances is the shortest, and the optimal berth is thus determined.
  • the parking lot road network can be abstracted into the weighted graph solution in the graph theory, so that the optimal berth problem can be converted into the shortest distance calculation problem on the weighted graph.
  • the improved floyd algorithm with better performance is used, and finally verified by Matlab simulation. This method distinguishes different berths in the parking lot and determines the optimal berth, but only uses the algorithm for parking induction, does not involve parking pricing, and does not regulate parking demand through differentiated pricing. Summary of the invention
  • the walking distance of the final destination that the traveler wants to reach after parking is 2 minutes; at the same time, there is a normal parking space with a far distance, and the walking distance to the final destination is 5 minutes.
  • two drivers, A and B need to stop at the same time and arrive at this destination.
  • the parking time of A is 6 hours
  • the parking time of B is 2 hours
  • the driver C is 2 hours later.
  • the driver D also needs to stop and arrive at the same destination.
  • the parking time is also 2 hours.
  • Driver A parks the car in a premium parking space and walks for 2 minutes to reach the destination; at the same time, driver B parks the car in the regular parking space and walks for 5 minutes to reach the destination.
  • the B car leaves, and the C that arrives can only park the car in the ordinary parking space (because the high quality berth is still occupied by the A car), and it takes 5 minutes to walk to the destination after parking.
  • C will leave, and the D that arrives at this time can only park the car in the ordinary parking space (because the high quality berth is still occupied by the A car), and it takes 5 minutes to walk to the destination after parking.
  • the idea of the present invention is adopted to prioritize the high quality berth to meet the short stop vehicle, the situation will become:
  • short stop vehicles vehicles with short parking periods
  • the overall walking time of the system is significantly reduced, and the efficiency is greatly improved.
  • How to stop the short stop vehicle to stop at the high quality berth and stop the vehicle to the ordinary parking by reasonable pricing of the high quality berth is the problem to be solved by the present invention.
  • the invention provides a method for preferential berth reservation and dynamic pricing based on priority berth quantity limitation and parking demand feature distribution, and obtains parking time control threshold and charging standard by obtaining parking parking behavior characteristics in the region, thereby realizing induction Transfer long-term vehicles to ordinary berths, and dynamically adjust prices according to actual demand status.
  • the high quality berth described here refers to a parking space with higher convenience.
  • the obvious feature is that the distance from the final destination of the driver to the parking area is relatively short, and the walking time required by the driver after parking is short.
  • the ordinary berths described here refer to berths that are less convenient than high quality berths, and are characterized by relatively remote locations, and the walking time required for the driver to walk to the final destination in the parking area after parking is longer.
  • the high quality berths therein can be pre-arranged and priced by the method of the present invention.
  • the invention specifically includes the following steps: (1) Establish a parking area geometry information table.
  • the information contained includes the number m parking garage entrance area, distance between the motor car dealers distance d n between the respective inlet and garage parking area quality berths, each parking area and a general parking garage entrance and ordinary quality Berth
  • the walking distance between the berths Ad, these data are obtained by field measurements.
  • An example of the established parking area geometry information table is as follows:
  • the unit billing time length t Q may be any length of time longer than the required price period. If the parking fee policy within 3 hours is to be established, it shall satisfy ⁇ ⁇ 3 hours. The portion of the parking duration that is less than one t Q is calculated by pressing a ⁇ during billing. In particular, the values proposed in the method should satisfy 1 minute ⁇ to ⁇ 20 minutes. This is because the larger the to, the more obvious the step-by-step mutation of the parking charge with the increase of the parking time, and the user whose time is near the sudden change threshold is more sensitive to the change of the charge, thereby increasing the user's time anxiety and reducing the parking user's Satisfaction with parking services.
  • the parking fee is 2 hours. Changes in internal growth over time.
  • the price sensitivity coefficient ⁇ of the parking user in the area can be obtained by field sampling survey in the parking area.
  • Berth reservation data ⁇ ⁇ t m in the berth reservation system Refers to the user who has the parking demand in advance through the berth system, including the website, mobile APP, WeChat public number, etc., to make an appointment for the high quality berth in the parking area, and to inform the required parking time.
  • the number of premium berths reserved during the reservation system and the appointment period can be obtained in real time from the application background.
  • the induced parking demand for temporary activities in known parking areas is t ni . Temporary activities that will occur in the parking area will increase the parking demand in the parking area, so it is necessary to know the number of people participating in the event and the time when the event is held.
  • the proportion of reserved users to all users is obtained through sample survey, car travel sharing The ratio of the ratio is greater than 0.1 and less than 0.3, which is obtained by field sampling survey;
  • the parking duration t in the parking area is the historical experience value tj of the parking time and the parking time t m of the parking demand determined by the historical data and the reservation system reservation data. It is superimposed on the parking time t ni of the parking demand that is induced by temporary activities in the parking area.
  • Number of vehicles with parking demand in the parking area Q real-time traffic flow Q Ti x of surrounding roads At the same time, the historical experience of stopping the number of noon cars in the parking area
  • the total duration of the parking time t distribution and the historical data of the parking time history value ⁇ the historical average of the real-time traffic flow of the surrounding roads ⁇
  • Method a) should be used when determining the premium berth price offered to the booking user in the reservation system ; method b) or method c) should be used when real-time dynamic adjustment of the premium berth price is made.
  • the price adjusted in real time is only applied to non-reserved users who enter the berth after the price is released.
  • the charging standard is still executed according to the charging standard notified at the time of the reservation.
  • the free parking time t of the high quality berth is set / t is not charged when the vehicle is parked at the high quality berth;
  • the value of t f may be 0, that is, the vehicle starts to charge from a high quality berth;
  • the price P t 'and the data in the parking area geometric information table are calculated according to the formula ( 1 ).
  • the parking time is t m , the parking fee of the vehicle parked at the high quality berth /
  • P t ' represents the parking fee required to park the vehicle at the ordinary berth when the parking time is equal to the duration control threshold t m ;
  • a represents the travel time value of the parking user in the parking area
  • Ad means walking distance between high quality berth and ordinary berth
  • d' denotes the distance between the ordinary berth and the entrance of the parking area. If there are multiple entrances in the parking area, a weighted average of the travel distance between the ordinary berth and each of the vehicle entrances is used, and the weight is the ratio of the vehicles entering the parking area from the respective entrances. Expressed by (2):
  • n the total number of vehicle entrances in the area
  • ⁇ ⁇ the proportion of vehicles entering the area from the nth car line entrance in the parking area
  • d indicates the distance between the nth car entrance and the ordinary berth.
  • d represents the distance between the high quality berth and the parking area entrance of the parking area. If there are multiple car park entrances in the area, the weighted average of the distance between the high quality berth and each car line entrance is used, and the weight is the ratio of the vehicles entering the parking area from each entrance/? n . Expressed by (3):
  • d n represents the distance between the nth car line entrance and the premium berth. The rest is the same as above.
  • v c represents the average traveling speed of the vehicle in the parking area;
  • v w represents the average walking speed of the traveler in the parking area.
  • n Pi + ( ⁇ — 1) " ( 5 ) where steps b), c), d) can be performed simultaneously, and Figure 7 shows a flow chart for calculating the premium berth parking charge price.
  • a possible implementation is for a parking user who makes a reservation for a premium berth using the mobile terminal application APP, and the system provides a charging plan at the time of reservation, and at the time of final charging, a certain degree of discount is provided on the basis of the charging scheme. .
  • the user should first provide the estimated parking time, calculate the parking fee for different berths according to the estimated parking time, and inform the user.
  • the retractable reservation price means that the appointment can be cancelled free of charge before the agreed time ⁇ hour, and the value of t e ranges from 0.1 to 5. The smaller the value of t e , the higher the price of the reservation can be revoked.
  • the irrevocable reservation price means that once the reservation is completed, it cannot be revoked free of charge, and if the reservation is cancelled, the prescribed default deduction is required, and the amount of the default deduction is set to 1% to 100% of the total price of the reservation order, and the time distance is revoked. The closer the appointment time, the higher the amount of default deduction.
  • the parking reservation system is composed of three modules, including:
  • a statistical module for counting the number and distribution of all available berths in the parking area when the user makes an appointment
  • a calculation module for calculating the parking charge when parking on different berths according to the attribute of the available parking space and the estimated parking time of the user;
  • a publishing module for generating and publishing parking space information based on available berths and calculated parking charge prices for the reserved user to select a parking space.
  • one possible implementation is to consider the price sensitivity coefficient ⁇ of the parking user in the parking area. That is, when the parking user in the parking area has a small response to the price change of the premium berth charge, the calculated parking charge price may be multiplied by a coefficient ⁇ , 1 ⁇ ⁇ ⁇ 1.5 to achieve a certain expansion to achieve the purpose of effective splitting. .
  • the price sensitivity coefficient ⁇ can be set to take into account user loyalty and user coupon usage. Among them, user loyalty is measured by the user's repurchase rate, that is, the number of repeated parkings in a month. The higher the user loyalty, the less sensitive the price is, and the corresponding price sensitivity coefficient ⁇ is larger. The higher the user coupon usage rate, the more sensitive the user is to the price and the smaller the price sensitive factor ⁇ .
  • Historical experience of parking time in parking area Historical experience of number of parking vehicles in parking area Real-time traffic flow of surrounding roads tIII Parking time of reserved berths on mobile terminal APP Qui berth reservation number on the mobile terminal APP The number of parking hours for the temporary parking activity in the parking area
  • the parking time control threshold 1 uncomfortable 1 corresponds to the group
  • Parking Pt length equal to t m
  • the vehicle is parked in the general parking is required to pay parking fees parking duration equal to p t t m
  • the vehicle is parked in high-berth required to pay parking fees
  • CLf A high-quality berth is the distance from the nearest self-service payment machine in the parking area. ac The distance from a high-quality berth to the nearest surveillance camera in the parking area is calculated as a + a 0 + for all the quality parking spaces in the parking area where a high-quality berth is located. a f +
  • the berth area of the highest quality berth in the parking area where a high quality berth is located c The total parking cost when the parking user selects a quality berth
  • Td The travel time required for the parking user to travel from the parking area entrance to the premium berth.
  • c' The total parking cost when the parking user selects the ordinary berth.
  • the travel time required for the parking user to travel from the entrance of the parking area to the ordinary berth t' The walking time required for the parking user to walk between the ordinary berth and the destination t r
  • QP Predicted value of the number of vehicles with parking demand from the beginning of the pricing period to the detection time.
  • Fig. 2 is an illustration of an embodiment of the prior art 1.
  • Fig. 3 is an example of berth classification in the prior art 2.
  • Figure 4 is a comparison of the existing situation and the optimization situation.
  • Figure 5 is a graph of the change in charging for different unit billing durations t Q .
  • Figure 6 is a flow chart for calculating the parking duration control threshold 1 ⁇ .
  • Figure 7 is a flow chart for calculating the premium berth parking charge price.
  • Figure 8 is a possible classification of multiple high quality berths in a parking lot.
  • Figure 9 is a flow chart of the implementation of the high-quality berth dynamic pricing method with priority short stop.
  • Fig. 10 is a schematic diagram of a parking area in the embodiment.
  • Figure 11 is an internal plan view of the parking lot where the premium berth is located in the embodiment.
  • the on-street parking space PI is a high-quality parking resource, there are 100 parking spaces; the off-street parking lot P' is an ordinary parking resource, and the charging research time is from 07:00 to 24:00 on a certain day.
  • the user can reserve the premium berth in the parking area in advance through the relevant mobile terminal application APP.
  • the APP will inform the user of the premium price of the premium berth, and finally charge the user who made the reservation according to the price.
  • the high-quality berth dynamic pricing method with priority short stop is used to make parking pricing for APP reservation users for the high quality berths in the parking area.
  • the implementation process is as follows:
  • the unit billing time to 10 minutes, and the part that stops for less than 10 minutes is charged for 10 minutes.
  • the number of vehicles entering the parking area from E1 every day in the parking area is 400, and the number of vehicles entering the parking area from E2 is 200; the travel time per person in the parking area is 25 yuan/hour; The average speed of vehicles in the area is 10km/h, and the per capita walking speed is 5km/h.
  • the historical experience value of the number of parking vehicles in the parking area is 500, and the parking time distribution is known.
  • the parking area is known to be in this day. An event is scheduled to be held.
  • the number of participants is expected to be 300, and the event time is from 9:00 to 11:00.
  • the proportion of people who participated in the event before driving was about 20%. Because it is the high quality berth parking pricing for the APP reservation user, according to the method a) in the step (3), the number of vehicles having the parking demand in the parking area is predicted during the day: the parking demand vehicle in the parking area Number Q
  • the number of vehicles Q with parking demand in the area is grouped according to their parking time t, and the parking demand statistics table is as follows: Parking time length ⁇ Average arrival amount q oi Required parking resources accumulation required parking space and time resources ⁇ Number of vehicles
  • the parking price for PI premium berths is free for the first 30 minutes, and the first lOmin for the first time is 0.5 yuan.
  • the price of each lOmin is 0.040 yuan higher than the previous lOmin, that is, the second one. lOmin charges 0.540 yuan, the third lOmin charges 0.580 yuan, the fourth lOmin charges 0.620 yuan ...
  • Period (min) 0-30 30-40 40-50 50-60 (30+n X lO)- [30+(n+l)X lO] Charge (yuan) 0 0.5 0.540 0.580 0.5+ ⁇ ⁇ 0.040
  • the final parking charge for users who come to the premium berth parking after the advance reservation through the APP is calculated at 90% of the above calculated price, that is, enjoy a 10% discount.
  • the price of the premium berth is adjusted in real time, the fee for the reserved user does not change, and it is still executed according to the charging standard notified by the system at the time of the reservation.
  • the parking area geometry information table is established as follows, and the results are the same as in the first embodiment.
  • the number of vehicles entering the parking area from E1 every day in the parking area is 400, and the number of vehicles entering the parking area from E2 is 200; the travel time per person in the parking area is 25 yuan/hour.
  • the average speed of vehicles in the parking area is 10km/h, and the per capita walking speed is 5km/h.
  • the number of high-quality berths in the parking area is 60, and the number of parking users who use the APP to reserve high-quality parking spaces here accounts for about the parking users here.
  • 10% of the total number of people the parking time is filled in at the time of booking; the historical experience value of the number of parking vehicles in the parking area is 500 by the intelligent gate data at the parking lot P, and the parking length is known. It is known that there will be an event on this day in the parking area. It is expected that the number of participants will be 300, and the event time will be from 9:00 to 11:00. The proportion of people who participate in the event is about 20%.
  • step (3) b) predict the number of vehicles with parking demand in the parking area during the day.
  • the number of vehicles with parking demand in the parking area Q the number of reserved berths in the parking area
  • the number of vehicles with parking demand in the area is grouped according to their parking time t.
  • the parking demand statistics are as follows:
  • 0.85xl00x( ⁇ ) 14.1667 (one hour).
  • the parking charge price is free for the first 30 minutes, after the first lOmin The charge is 0.5 yuan.
  • each lOmin is 0.043 yuan higher than the previous lOmin, that is, the second lOmin charge is 0.543 yuan, the third lOmin charge is 0.586 yuan, and the fourth lOmin charge is 0.629 yuan...
  • step (3) to step (5) are re-calculated, the charged price of the premium berth is recalculated according to the new parameters, and the updated parking charge price is released.
  • the parking from the high quality berth is from 09:00 to the next update.
  • the parking fee will be charged according to the updated charging standard.
  • the parking price of the parking users who have entered the market will still be charged according to the charging standard announced at the time of entry; the reserved user will still inform the APP according to his appointment. The fee is charged.
  • the parking area and known conditions are the same as those described in the second embodiment.
  • the high quality berths in the high quality berth parking lot P are graded according to the location, size and other conditions, and differentiated pricing is implemented for different grades of high quality berths.
  • the specific implementation process is as follows: Since the parking area and the implementation conditions are the same as those in the second embodiment, the preliminary steps and results are the same as those in the second embodiment, and the price changes with the parking time of the high quality berth under the non-grading condition are as follows: Show:
  • the quality berths are now graded.
  • the internal plan view of the parking lot P where the premium berth is located is shown in Fig. 14.
  • the berth of the sign 1 in the figure is a first-class high-quality berth located close to the entrance and exit, the elevator or the paying machine and larger than the remaining berths.
  • the berth of the sign 2 is the same size as the majority berth but close to the entrance and exit, the elevator or the paying machine.
  • High quality berths, unmarked berths are three quality berths.
  • the high quality berth grade is divided as shown in Figure 8.
  • the grade factor of different grades of high quality berths is set as shown in the following table: High quality berth level 1st level 2rd level 3 sign 1 2 No sign level factor) ⁇ 1.5 1.2 1.0
  • the charging standard for different grades of high quality berths in the parking lot is expressed in the form of a high quality berth charging matrix as shown in the following table:
  • the parking area can be obtained.
  • both indicators satisfy 0.85 ⁇ ⁇ ⁇ Q r ⁇ 1.15 ⁇ ⁇ and 0.7 ⁇ 0 r ⁇ 0.9 ⁇ Therefore, the premium berth for the unreserved users on the same day has been executed at the above price and has not been changed.

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  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un procédé permettant la réservation de place de stationnement « premium » en accordant la priorité aux stationnements de courte durée et la fixation dynamique de tarifs. La tarification différenciée dans le temps et dans l'espace pour différentes ressources de stationnement permet de réaliser la gestion et le suivi de la demande de stationnements et de fournir à une personne un service de réservation de place de stationnement pour le stationnement de son véhicule. Plus précisément, grâce à la tarification progressive, les tarifs facturés pour des places de stationnement « premium » sont fixés avec précision et ajustés de manière dynamique compte tenu des conditions réelles, ce qui permet d'atteindre le but qui consiste à mettre à la disposition de véhicules des places de stationnement « premium » en nombre limité en accordant la priorité aux stationnements de courte durée.
PCT/IB2017/058543 2016-12-30 2017-12-30 Procédé permettant la réservation de place de stationnement « premium » en accordant la priorité aux stationnements de courte durée et la fixation dynamique de tarifs WO2018122813A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201780048086.7A CN110337680A (zh) 2016-12-30 2017-12-30 一种优先短停的优质泊位预约及动态定价方法
GBGB1909413.5A GB201909413D0 (en) 2016-12-30 2017-12-30 Method for premium parking space reservation priorizing short-term parking and for dynamic pricing

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
PCT/IB2016/058107 WO2018122587A1 (fr) 2016-12-30 2016-12-30 Procédé de tarification dynamique pour des places de stationnement privilégiées ayant une priorité donnée au stationnement à court terme
IBPCT/IB2016/058107 2016-12-30

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WO2018122813A1 true WO2018122813A1 (fr) 2018-07-05

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PCT/IB2016/058107 WO2018122587A1 (fr) 2016-12-30 2016-12-30 Procédé de tarification dynamique pour des places de stationnement privilégiées ayant une priorité donnée au stationnement à court terme
PCT/IB2017/058542 WO2018122812A1 (fr) 2016-12-30 2017-12-30 Procédé de classement et de tarification dynamique de places de stationnement, dans lequel priorité est donnée à un stationnement à court terme
PCT/IB2017/058543 WO2018122813A1 (fr) 2016-12-30 2017-12-30 Procédé permettant la réservation de place de stationnement « premium » en accordant la priorité aux stationnements de courte durée et la fixation dynamique de tarifs

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PCT/IB2016/058107 WO2018122587A1 (fr) 2016-12-30 2016-12-30 Procédé de tarification dynamique pour des places de stationnement privilégiées ayant une priorité donnée au stationnement à court terme
PCT/IB2017/058542 WO2018122812A1 (fr) 2016-12-30 2017-12-30 Procédé de classement et de tarification dynamique de places de stationnement, dans lequel priorité est donnée à un stationnement à court terme

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CN (3) CN109661693B (fr)
GB (2) GB201711410D0 (fr)
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109887326A (zh) * 2019-03-20 2019-06-14 南通帕哥智能科技有限公司 车位预约控制方法及车位预约控制装置
CN110956844A (zh) * 2019-12-10 2020-04-03 珠海格力电器股份有限公司 停车场的管理方法、装置及存储介质
CN111260802A (zh) * 2020-01-16 2020-06-09 淄博职业学院 基于无线通信网络的停车场智能化控制方法与系统
CN111785069A (zh) * 2020-07-01 2020-10-16 宁波工程学院 一种停车诱导方法、系统、智能终端和储存介质
US20210142671A1 (en) * 2019-11-12 2021-05-13 Toyota Jidosha Kabushiki Kaisha Automated valet parking system and terminal device

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110246338A (zh) * 2019-05-28 2019-09-17 安徽安科智能有限公司 一种用于出入口智能车闸远程控制系统及方法
CN110060503A (zh) * 2019-05-30 2019-07-26 禄丰隆城城市服务有限公司 车辆停放管理系统、方法、装置、计算机设备及存储介质
CN110443444B (zh) * 2019-06-24 2022-04-22 中交二航局建筑科技有限公司 基于数字化平台的码头设施检测评估系统及其实现方法
CN114730525A (zh) * 2019-11-28 2022-07-08 邱海燕 停车位分配系统及方法
CN112950979A (zh) * 2019-12-10 2021-06-11 奥迪股份公司 停车位推荐方法、装置、计算机设备和存储介质
CN113034969B (zh) * 2020-05-11 2022-08-23 路特迩科技(杭州)有限公司 基于区域的停车服务与管理方法、系统
JP7596768B2 (ja) * 2020-12-11 2024-12-10 トヨタ自動車株式会社 制御装置及び料金決定方法
CN112820134B (zh) * 2020-12-30 2022-08-23 深圳市前海亿车科技有限公司 一种局部区域预约停车的方法、系统及介质
CN113327333B (zh) * 2021-04-08 2022-12-13 厦门路桥信息股份有限公司 停车位预约价格动态调整方法及装置
CN113188820B (zh) * 2021-04-22 2022-04-12 王聿波 一种基于杠杆原理的电梯载荷检测装置
CN113554276B (zh) * 2021-06-25 2023-11-07 桂林电子科技大学 基于泊位供给可用性感知冲突规避泊位分配系统
CN113936347B (zh) * 2021-09-30 2023-12-19 深圳市科漫达智能管理科技有限公司 一种停车计费方法、停车计费装置以及终端设备
CN114360078A (zh) * 2021-12-31 2022-04-15 浙江树人学院（浙江树人大学） 一种基于车位物联系统的车位计费方法
CN115223389B (zh) * 2022-07-15 2023-11-21 西南交通大学 一种基于动态路段代价的停车引导路径规划方法
CN115798196B (zh) * 2022-11-02 2024-12-27 智慧互通科技股份有限公司 视频设备路侧泊车流量预测方法以及系统
CN117409492A (zh) * 2023-12-14 2024-01-16 杭州万物互联智慧产业有限公司 路内智慧停车无人化运营管理方法及系统

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102063745A (zh) * 2010-12-31 2011-05-18 钟明 一种停车管理系统
CN103548068A (zh) * 2011-03-24 2014-01-29 普雷米尔停车有限公司 停车管理系统和方法
US20160171891A1 (en) * 2014-12-16 2016-06-16 International Business Machines Corporation Dynamically managing parking space utilization

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002157617A (ja) * 2000-11-20 2002-05-31 Nippon Parking Corp 駐車場の課金装置とその課金方法
US20110213672A1 (en) * 2009-10-19 2011-09-01 Liberty Pluglns, Inc. System and method for managing a parking lot
US20120161986A1 (en) * 2010-12-27 2012-06-28 Eyal Amir Providing guidance for locating street parking
US20140122375A1 (en) * 2012-11-01 2014-05-01 Palo Alto Research Center Incorporated Parking pricing system
US9035799B2 (en) * 2013-03-14 2015-05-19 Verizon Patent And Licensing Inc. Providing parking availability information and parking alerts
CN103366603B (zh) * 2013-06-20 2017-02-08 上海市城市建设设计研究总院 地面停车场停车泊位引导系统
CN103985268B (zh) * 2014-03-04 2017-04-05 江南大学 一种基于最优泊位模型的智能停车场车位诱导机制算法
CN103942976B (zh) * 2014-04-16 2016-04-06 同济大学 一种考虑停车时间的停车诱导系统的调控方法
CN105427651A (zh) * 2014-09-11 2016-03-23 惠州市德赛西威汽车电子股份有限公司 基于惯性导航的泊车导航方法及装置
US9478134B2 (en) * 2014-10-10 2016-10-25 General Motors Llc Method of determining an attribute of a parking structure
CN105894849A (zh) * 2015-01-23 2016-08-24 汤建华 基于云平台的有序停车系统及其实现方法
CN105303882B (zh) * 2015-11-16 2017-11-10 东南大学 基于时空维度动态停车收费策略的停车管理系统及方法
CN105574997A (zh) * 2015-12-14 2016-05-11 中能易电新能源技术有限公司 充电式停车场的车位分配方法及装置
CN106023641B (zh) * 2016-06-23 2018-06-19 北京交通大学 基于动态优化的停车位预约分配方法及系统
CN106169253B (zh) * 2016-08-25 2019-01-01 华南师范大学 基于停车难易度的停车场空闲状况预测方法及系统

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102063745A (zh) * 2010-12-31 2011-05-18 钟明 一种停车管理系统
CN103548068A (zh) * 2011-03-24 2014-01-29 普雷米尔停车有限公司 停车管理系统和方法
US20160171891A1 (en) * 2014-12-16 2016-06-16 International Business Machines Corporation Dynamically managing parking space utilization

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109887326A (zh) * 2019-03-20 2019-06-14 南通帕哥智能科技有限公司 车位预约控制方法及车位预约控制装置
US20210142671A1 (en) * 2019-11-12 2021-05-13 Toyota Jidosha Kabushiki Kaisha Automated valet parking system and terminal device
CN110956844A (zh) * 2019-12-10 2020-04-03 珠海格力电器股份有限公司 停车场的管理方法、装置及存储介质
CN111260802A (zh) * 2020-01-16 2020-06-09 淄博职业学院 基于无线通信网络的停车场智能化控制方法与系统
CN111785069A (zh) * 2020-07-01 2020-10-16 宁波工程学院 一种停车诱导方法、系统、智能终端和储存介质

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