CN111429176A - Method for inducing standard parking of bicycle excited by fare - Google Patents

Method for inducing standard parking of bicycle excited by fare Download PDF

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CN111429176A
CN111429176A CN202010202223.1A CN202010202223A CN111429176A CN 111429176 A CN111429176 A CN 111429176A CN 202010202223 A CN202010202223 A CN 202010202223A CN 111429176 A CN111429176 A CN 111429176A
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parking
parking area
riding
designated
destination
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肖梅
杨冰
王海明
徐婷
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Changan University
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Priority to PCT/CN2021/081635 priority patent/WO2021185331A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0206—Price or cost determination based on market factors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q20/08—Payment architectures
    • G06Q20/14—Payment architectures specially adapted for billing 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
    • G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
    • G08G1/144—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces on portable or mobile units, e.g. personal digital assistant [PDA]

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Abstract

The invention provides a method for inducing the standard parking of a bicycle excited by a fare, which comprises the following steps: step 1, acquiring a starting place; inputting a travel destination, and acquiring a designated parking area within a preset range of the destination; step 2, calculating the estimated riding fee when the vehicle is parked at will after reaching the destination and the estimated riding fee when the vehicle is parked in the designated parking area; step 3, calculating riding cost according to the final parking area; the method can induce the standard parking behavior of the user according to the demand of the designated point, improve the problem that the parking of the single vehicle is difficult to plan, and reduce the dispatching of the single vehicle; meanwhile, the parking requirements of the users can be known in advance, effective planning and scheduling can be performed, and the requirements of the users on the single vehicle can be better met.

Description

Method for inducing standard parking of bicycle excited by fare
Technical Field
The invention relates to the technical field of shared bicycles, in particular to a method for inducing the standard parking of a bicycle excited by a ticket price.
Background
The city shared bicycles are also called shared bicycles, are transportation means for providing time-sharing rental and sharing services for enterprises, and are mainly distributed in areas such as campuses, traffic junctions, commercial districts, residential districts and the like. Since the beginning OFO of the great graduate in 2014, the domestic sharing single-vehicle enterprises show the trend of well-spraying growth from the initial small private enterprises to the acquisition of wind investment financing: from a unique company to hundreds of flowers and then to the steady-state development of the present stage, the shared single vehicle greatly meets the requirements of public transportation transfer and short-distance travel of the public, and plays an active role in effectively solving the last kilometer of urban traffic travel, relieving urban traffic jam, constructing a green travel system and the like. However, as the number of the shared vehicles is increased sharply, various problems caused by the shared vehicles are gradually exposed, and particularly, the problems of random parking and random release are highlighted.
At present, the parking modes of the bicycle in China are mainly classified into a pile type and a non-pile type. The pile type parking mode is that a user takes and parks a bicycle at a fixed parking pile, generally one bicycle and one pile are adopted, for example: urban public bicycle. The pile type parking mode avoids the problem that the single cars are randomly parked and placed, but the installation cost is high, the parking area is not flexible enough, the requirement that passengers arrive at the door is not really met, and the use convenience of the shared single cars is reduced.
The pile-free parking mode has two types, one is that a user parks and takes a bicycle in a specified virtual parking area, such as an electronic fence, and the pile-free parking mode needs to be used for road construction and also has the problem of random placement in the parking area; the other type is that the user can park the vehicle at any time and any place, the open parking mode greatly shortens the walking distance of passengers, greatly facilitates the traveling of the user, but easily causes the problems of disordered parking and random parking of a single vehicle, excessive occupation of road resources, influence on traffic safety and the like, and greatly increases the maintenance and supervision costs. Therefore, how to solve the contradiction between the standard parking and the flexibility of the single bicycle becomes a bottleneck for restricting the stable development of the public bicycles in the shared single bicycle (or) city. In view of the above, the invention provides an intelligent movable parking instrument for standardizing the parking of a single vehicle, which can solve the difficult problem of standardized and flexible storage of the single vehicle.
Disclosure of Invention
The invention aims to provide a method for inducing the standard parking of a bicycle excited by a ticket price, which solves the problem of disorder parking and disorder parking of the existing shared bicycle.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a method for inducing the standard parking of a bicycle excited by a fare, which comprises the following steps:
step 1, acquiring a starting place; inputting a travel destination, and acquiring a designated parking area within a preset range of the destination;
step 2, calculating the estimated riding fee when the vehicle is parked at will after reaching the destination and the estimated riding fee when the vehicle is parked in the designated parking area;
and 3, calculating the riding cost according to the final parking area.
Preferably, in step 1, n designated parking areas within a preset range of the destination are obtained, and the specific method is as follows:
setting the parking area in a preset range, and acquiring n designated parking areas, wherein n is 0, which means that no designated parking area exists in the preset range of the destination and the destination parks randomly; n >0 indicates that the destination has a designated parking area within a preset range, and random parking or designated parking is selected.
Preferably, in step 2, the estimated riding fee when the vehicle is parked at will after arriving at the destination and the estimated riding fee when the vehicle is parked at the designated parking area are calculated by the following formula:
Figure RE-GDA0002524682290000021
wherein f iszoRepresents the predicted riding fee for casual parking; f. ofziRepresenting the predicted riding fee of the ith designated parking area; di *An optimal fare discount for a designated parking area; n is the number of the designated parking areas within the preset range of the destination; f is the riding price.
Preferably, the optimal fare discount for a given parking area is calculated by:
Figure RE-GDA0002524682290000022
wherein f isdA dispatch fee for the bicycle; d'iUpdated fare discounts, d ', for each designated parking area'i＝di·αi；αiRepresenting the single vehicle demand degree of the ith designated parking area; diDiscount of fare for the ith (i ≧ 1) designated parking area.
Preferably, the fare discount for a given parking area is calculated by:
Figure RE-GDA0002524682290000031
wherein gamma is an induction coefficient; u shape0The utility value is the utility value of the random parking of the single vehicle; omega1The riding distance coefficient; omega2Is a walking distance coefficient; omega3Is a price coefficient; driThe riding distance from the ith designated parking area to the origin is obtained; dwiA walking distance from the destination for the ith designated parking area; vrThe riding speed is set; vwIs the walking speed; f is the riding price.
Preferably, the individual demand for the ith designated parking area is given by:
Figure RE-GDA0002524682290000032
wherein E isiFor the full rate of the i-th designated parking area,
Figure RE-GDA0002524682290000033
mithe number of stored single cars in the ith designated parking area; miThe total number of available vehicles for the i-th designated parking area.
Preferably, the utility value of the random parking of the single vehicle is calculated by:
Figure RE-GDA0002524682290000034
wherein d isr0The distance from the random parking area to the origin; dw0Is the walking distance of the random parking zone from the destination.
Preferably, the riding cost of the final parking lot is calculated by the following formula:
Figure RE-GDA0002524682290000035
wherein f isgThe actual riding cost is obtained; l0Deviation from the threshold value, β a ride delay rate,
Figure RE-GDA0002524682290000036
Tsthe actual riding time; t isyIn order to average the riding time,
Figure RE-GDA0002524682290000037
a is a delay coefficient; ddiThe Euclidean distance between the actual parking position of the single vehicle and the designated parking area.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a method for inducing the standard parking of a bicycle excited by a ticket price, which induces the parking standard of a user by using a ticket price excitation mode, and respectively calculates the expected riding fee of random parking and the expected riding fee of the bicycle parked according to the specification according to the destination of the user; the user selects a final bicycle parking area according to the two estimated riding fees; the method can induce the standard parking behavior of the user according to the demand of the designated point, improve the problem that the parking of the single vehicle is difficult to plan, and reduce the dispatching of the single vehicle; meanwhile, the parking requirements of the users can be known in advance, effective planning and scheduling can be performed, and the requirements of the users on the single vehicle can be better met.
Detailed Description
The present invention is described in further detail below.
The invention provides a method for inducing the standard parking of a bicycle excited by a fare, which comprises the following specific implementation steps:
step 0: when a user wants to use the shared bicycle, the shared bicycle system of the smart phone terminal is firstly opened.
Step 1: the user firstly inputs the destination D of the trip, the sharing bicycle system automatically acquires the departure place O of the user according to the positioning data of the mobile phone, and when the positioning data of the mobile phone terminal is unavailable, the sharing bicycle cannot be used.
Step 2: and calculating the utility value of the random parking of the single vehicle. The utility value is used for measuring the generalized cost value of the trip perceived by the user, and consists of the ticket price, the riding distance and the walking distance, and the larger the value is, the higher the generalized cost perceived by the user is.
Figure RE-GDA0002524682290000041
Wherein, U0Is the utility value of random parking; omega1The riding distance coefficient; omega2Is a walking distance coefficient; omega3Is a price coefficient; dr0The distance from the random parking area to the starting place is meter; vrGenerally taking 5m/s as the riding speed; dw0The walking distance of the random parking area from the destination, meter; vwFor walking speed, 1m/s is generally taken; f is the riding price, Yuan.
From the time value calculated for the average revenue, ω is again determined1、ω2And ω3Can realize equivalent operation, omega, between data of different dimensions1、ω2And ω3Values were 0.015, 0.003 and 8, respectively. dr0And dw0The method can be obtained through GIS software carried by the terminal. Considering that the travel distance of a bicycle is generally within 10km, the riding price includes the expenses of labor, management, scheduling, network operation and the like, the riding price can be priced for 1 yuan/time, and also can be priced according to the riding distance and riding time.
In the embodiment, the value of the riding price f is 1 Yuan/time; dr0And dw05400 m and 20 m, U respectively0Is 24.26.
And step 3: and inquiring a specified parking area within a preset range near the destination D. The preset range is generally 500-1000 m. Assuming that n (n is more than or equal to 0) designated parking areas exist, automatically inquiring the riding distance from all the designated parking areas to the origin and the walking distance from the designated parking areas to the destination through GIS software carried by the terminal, and using driAnd dwi(i ═ 0, 1.., n) denotes a riding distance from the origin and a walking distance from the destination, respectively, for the i-th designated parking area.
When i is 0, driIs dr0；dwiIs dw0。
When n is 0, no designated parking area is in the preset range of the destination, and the vehicle is parked randomly; n >0 indicates that the destination has a designated parking area within a preset range, and random parking or designated parking is selected.
In this embodiment, the walking range takes 800 meters.
And 4, step 4: if n is equal to 0, the step 11 is carried out; if n is more than 0, the step 5 is carried out.
In this embodiment, if n is 2, the process proceeds to step 5.
And 5: and acquiring an inducement acceptance value of the user from the historical data. The induction acceptance value Y (Y is more than or equal to 0 and less than or equal to 1) is used for measuring the acceptance degree of the passenger on the induction information, and the smaller the Y value is, the easier the user accepts the induction, and the less the induction is accepted. When no induction acceptance value Y is available, Y takes a fixed value.
In this example, when there is no available induction acceptance value Y, Y takes a fixed value of 0.5.
Step 6: a discount off of the fare for the designated parking area is calculated. In order to encourage the user to regulate the parking, the discount is appropriately adjusted taking account of the passenger's inducibility.
Based on the riding distance from the designated parking area to the origin and the walking distance from the destination respectively obtained in the step 3, the fare discount of each designated parking area can be calculated by the formula (2), wherein the fare discount d of the ith (i is more than or equal to 1) designated parking areaiExpressed as:
Figure RE-GDA0002524682290000051
wherein i (i is more than or equal to 1) is an index of the designated parking area; i (i ═ 0) is an index for random parking; gamma is an induction coefficient, and the value of gamma is generally 0 to 0.4.
In this example, dr1Is dr25200m and 5500m respectively; dw1Is dw2200m and 100m, respectively; the value of gamma is 0.25, and d is calculated1And d2Respectively as follows: 0.387, and 0.312.
And 7: and calculating the full storage rate of each designated parking area. The full storage rate of the designated area is defined as the number m of the stored single vehiclesiAnd total number M of storable bicyclesiBy the ratio of EiIndicating the full rate of the ith designated parking area (0 ≦ E)iLess than or equal to 1) is equal to the number m of the stored single vehiclesiAnd total number M of storable bicyclesiThe ratio of (a) to (b).
When the full-storage rate of the designated parking area is lower, the number of the single vehicles stored in the parking area is less; otherwise, the number of the stored single vehicles in the parking area is more; the mathematical expression of the full-storage rate is shown in formula (3).
Figure RE-GDA0002524682290000061
In this example, m1And m26 and 50 respectively; m1And M240 and 150; the full-storage rate E is known1And E20.15 and 0.6.
Step 8, calculating the degree of demand of each designated parking area on the single vehicle, wherein the degree of demand of the single vehicle refers to the degree of demand of a certain designated parking area on the single vehicle, when the full-storage rate of the designated parking area is large, the degree of demand on the single vehicle is greatly reduced, and vice versa, the degree of demand of the single vehicle in the designated parking area is αiRepresented by formula (4).
Figure RE-GDA0002524682290000062
Wherein, αiAnd the vehicle demand degree of the ith designated parking area is shown.
In this embodiment, the degree of demand for two designated parking areas is α1And α21.5 and 0.97, respectively.
And step 9: updating the discount of each parking area according to the single-vehicle demand degree of the parking area to obtain the updated fare discount d'i。
d'i＝di·αi(5)
In this example, d'1And d'20.5805 and 0.3026, respectively.
Step 10: an optimal fare discount for a designated parking area. Updated fare discount d 'when acceptable to user'iWhen the price is too low, the fare discount strategy is not implemented:
Figure RE-GDA0002524682290000071
wherein f isdThe dispatching fee for the single vehicle is the expenditure of the fee generated in the dispatching process for the single vehicle enterprise, and comprises the following steps: the pay expenditure of a dispatcher, the operation fee of a dispatching vehicle and the like, generally f is more than or equal to fd。
In this example, fdThe value is 0.5 yuan; best fare discount d for two designated parking areas1 *And d2 *0.5 and 0.3026.
Step 11: the estimated riding costs for each designated parking area and for free parking are calculated. Calculating riding fee f for random parking and designated area parking based on optimal fare discountzi。
Figure RE-GDA0002524682290000072
Wherein f iszoRepresents the predicted riding fee for casual parking (i ═ 0); f. ofziRepresents the estimated riding fee of the starting place from the ith (1 ≦ i ≦ n) designated parking area.
In this embodiment, the riding fee f for random parkingz1Estimated riding fee f of 1 Yuan, two designated parking areasz1And fz20.5 and 0.6974 respectively.
Step 12: and calculating the longest riding time.
Tm＝Ty·a (8)
Wherein, TmThe longest riding time is min; t isyIs the average riding time which is equal to the riding time when the bicycle is parked randomlyDistance divided by average riding speed, i.e.
Figure RE-GDA0002524682290000073
a is a delay coefficient, and usually takes a value of 1.2-2.5.
In this embodiment, a takes the value of 2; longest riding time TmIt is 36 min.
Step 13: the predicted riding cost and the maximum riding time are displayed. Based on the optimal discount of the fare, the predicted riding cost f of random parking and parking in each designated parking area is displayed on the mobile phone terminalzi(i is more than or equal to 0 and less than or equal to n) and reminds the user of the longest use time T of the bicyclemmin, otherwise, the delay fee needs to be paid.
And 14, calculating a riding delay rate, comparing the longest riding time with the actual riding time when riding is finished, calculating the riding delay rate, and charging additional delay compensation fee for the user overtime riding, wherein the riding delay rate β is calculated as shown in a formula (9).
Figure RE-GDA0002524682290000081
Wherein, TsMin is the actual riding time; t isyMin is the average riding time.
In this example, Ts＝25min，β＝1。
Step 15: and collecting the actual riding fee. If the actual arrival place of the user is superposed with any one of the designated parking areas, the Euclidean distance Dd between the actual parking position of the single vehicle and the designated parking area i (i is more than or equal to 1)iVery small, i.e. Ddi≤l0According to the estimated riding cost fziThe reduction is carried out.
When the actual riding time is too long, extra delay compensation fee also needs to be charged; therefore, the actual riding cost fgComprises the following steps:
Figure RE-GDA0002524682290000082
wherein l0To deviate from the threshold value, the value is generally 1-20m。
In this example,/0The value is 10 m.
Step 16: the induction acceptance value Y was updated.
Figure RE-GDA0002524682290000083
And step 17: the algorithm ends.

Claims (8)

1. A method for inducing the regulated parking of a single vehicle actuated by a fare, comprising the steps of:
step 1, acquiring a starting place; inputting a travel destination, and acquiring a designated parking area within a preset range of the destination;
step 2, calculating the estimated riding fee when the vehicle is parked at will after reaching the destination and the estimated riding fee when the vehicle is parked in the designated parking area;
step 3, selecting a final bicycle parking area according to the estimated riding cost obtained in the step 2;
and 4, calculating the final actual riding cost.
2. The method for inducing the regular parking of the bicycle encouraged by the fare according to claim 1, wherein in the step 1, n designated parking areas within a preset range of the destination are obtained by:
setting the parking area in a preset range, and acquiring n designated parking areas, wherein n is 0, which means that no designated parking area exists in the preset range of the destination and the destination parks randomly; n >0 indicates that the destination has a designated parking area within a preset range, and random parking or designated parking is selected.
3. The method for inducing regular parking of a bicycle encouraged by fares according to claim 1, wherein in step 2, the estimated riding fee when the bicycle is parked at will after arriving at the destination and the estimated riding fee when the bicycle is parked at the designated parking area are calculated by the following formula:
Figure FDA0002419780630000011
wherein f iszoRepresents the predicted riding fee for casual parking; f. ofziRepresenting the predicted riding fee of the ith designated parking area;
Figure FDA0002419780630000012
an optimal fare discount for a designated parking area; n is the number of the designated parking areas within the preset range of the destination; f is the riding price.
4. A method for inducing a fared-incentivized regular parking of bicycles according to claim 3, wherein the optimal fare discount for a given parking area is calculated by the following formula:
Figure FDA0002419780630000013
wherein f isdA dispatch fee for the bicycle; d'iUpdated fare discounts, d ', for each designated parking area'i＝di·αi；αiRepresenting the single vehicle demand degree of the ith designated parking area; diDiscount of fare for the ith (i ≧ 1) designated parking area.
5. A method for inducing a fared-incentivized regular parking of bicycles according to claim 4, wherein the fare discount for a given parking area is calculated by:
Figure FDA0002419780630000021
wherein gamma is an induction coefficient; u shape0The utility value is the utility value of the random parking of the single vehicle; omega1The riding distance coefficient; omega2Is a walking distance coefficient; omega3Is a price coefficient; driThe riding distance from the ith designated parking area to the origin is obtained; dwiA walking distance from the destination for the ith designated parking area; vrThe riding speed is set; vwIs the walking speed; f is the riding price.
6. The method of claim 4, wherein the specification parking of the vehicle encouraged by the fare is induced by the degree of demand of the vehicle in the ith designated parking space according to the following formula:
Figure FDA0002419780630000022
wherein E isiFor the full rate of the i-th designated parking area,
Figure FDA0002419780630000023
mithe number of stored single cars in the ith designated parking area; miThe total number of available vehicles for the i-th designated parking area.
7. The method of claim 5, wherein the utility value of the random parking of the bicycle is calculated by the following formula:
Figure FDA0002419780630000024
wherein d isr0The distance from the random parking area to the origin; dw0Is the walking distance of the random parking zone from the destination.
8. A method for inducing regular parking of a ticket actuated bicycle according to claim 1, wherein the final actual riding cost is calculated by the following formula:
Figure FDA0002419780630000025
wherein f isgThe actual riding cost is obtained; l0Deviation from the threshold value, β a ride delay rate,
Figure FDA0002419780630000026
Tsthe actual riding time; t isyIn order to average the riding time,
Figure FDA0002419780630000031
a is a delay coefficient; ddiThe Euclidean distance between the actual parking position of the single vehicle and the designated parking area.
CN202010202223.1A 2020-03-20 2020-03-20 Method for inducing standard parking of bicycle excited by fare Pending CN111429176A (en)

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PCT/CN2021/081635 WO2021185331A1 (en) 2020-03-20 2021-03-18 Ticket price-driven method for encouraging proper parking of bicycles

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