CN106952110B - Method, device and equipment for estimating vehicle fare and computer storage medium - Google Patents

Method, device and equipment for estimating vehicle fare and computer storage medium Download PDF

Info

Publication number
CN106952110B
CN106952110B CN201710101445.2A CN201710101445A CN106952110B CN 106952110 B CN106952110 B CN 106952110B CN 201710101445 A CN201710101445 A CN 201710101445A CN 106952110 B CN106952110 B CN 106952110B
Authority
CN
China
Prior art keywords
distance
address
charging pile
vehicle
destination address
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
CN201710101445.2A
Other languages
Chinese (zh)
Other versions
CN106952110A (en
Inventor
李�浩
陈秀义
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Baidu Netcom Science and Technology Co Ltd
Original Assignee
Beijing Baidu Netcom Science and Technology Co Ltd
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.)
Filing date
Publication date
Application filed by Beijing Baidu Netcom Science and Technology Co Ltd filed Critical Beijing Baidu Netcom Science and Technology Co Ltd
Priority to CN201710101445.2A priority Critical patent/CN106952110B/en
Publication of CN106952110A publication Critical patent/CN106952110A/en
Application granted granted Critical
Publication of CN106952110B publication Critical patent/CN106952110B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • G06Q30/0284Time or distance, e.g. usage of parking meters or taximeters
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry

Landscapes

  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Finance (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Accounting & Taxation (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Primary Health Care (AREA)
  • Tourism & Hospitality (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)

Abstract

The invention provides a method, a device, equipment and a computer storage medium for estimating fare, wherein the method for estimating the fare comprises the following steps: acquiring a user riding request sent by a client, wherein the user riding request comprises a departure place address and a destination address; estimating the fare according to the distance between the departure address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure address to the destination address; and feeding back the obtained estimated fare to the client. According to the invention, the special attribute of the unmanned vehicle is fully considered by acquiring the distance between the departure address and the nearest charging pile, the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure address to the destination address, so that the driving fee of the unmanned vehicle is estimated, and the accuracy of charging of the unmanned vehicle is improved.

Description

Method, device and equipment for estimating vehicle fare and computer storage medium
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of travel services, in particular to a method, a device, equipment and a computer storage medium for estimating fare.
[ background of the invention ]
In daily life, the cost required by people for traveling is often one of the important bases for people to finally decide which traveling mode to use. Therefore, how to accurately estimate the cost required when people go out and take a bus is a key problem. In the prior art, when the fare estimation is carried out, the road distance is generally obtained by substituting the road distance into a fare estimation model, namely the road distance is calculated according to a starting address and a destination address in a user riding request, and the road distance is substituted into the fare estimation model obtained by historical data training to estimate the fare required by the user riding request. In the prior art, the method for estimating the vehicle fees is mostly based on the vehicles with people, and with the development of the automatic driving technology, more and more vehicles without people are put into the taxi operation. However, the unmanned vehicle has special attributes different from the manned vehicle, such as the unmanned vehicle position, the unmanned vehicle electric quantity, the charging pile position, and the like. Therefore, it is not appropriate to apply the method applied to the estimation of the fare of the manned vehicle to the estimation of the fare of the unmanned vehicle, and the prior art has not applied to the estimation of the fare of the unmanned vehicle. Therefore, it is desirable to provide a fare estimation method, device, equipment and computer storage medium capable of accurately estimating the travel fare of an unmanned vehicle by combining the unique attributes of the unmanned vehicle.
[ summary of the invention ]
In view of this, the invention provides a method, an apparatus, a device and a computer storage medium for estimating a fare for travel of an unmanned vehicle, so as to estimate the fare for travel of the unmanned vehicle and improve the accuracy of the fare for travel of the unmanned vehicle.
The technical scheme adopted by the invention for solving the technical problem is to provide a method for estimating the fare, which comprises the following steps: acquiring a user riding request sent by a client, wherein the user riding request comprises a departure place address and a destination address; estimating the fare according to the distance between the departure address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure address to the destination address; and feeding back the obtained estimated fare to the client.
According to a preferred embodiment of the present invention, the estimating the fare according to the distance between the departure location and the nearest charging pile or the distance between the destination location and the nearest charging pile, and the passenger riding distance from the departure location to the destination location includes: the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the third unit price and the distance between the third unit price and the destination address and the nearest charging pile; or the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the fourth unit price and the distance between the fourth unit price and the departure place address and the nearest charging pile.
According to a preferred embodiment of the present invention, the method further comprises obtaining a current electric quantity of the vehicle and a remaining driving distance of the vehicle; the estimating of the fare according to the distance between the departure address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure address to the destination address comprises the following steps: if the remaining travel distance of the vehicle is greater than the passenger riding distance and the current electric quantity of the vehicle is greater than 50% of the full electric quantity, estimating the fare to be equal to the product of the first unit price and the passenger riding distance; if the remaining travel distance of the vehicle is larger than the passenger riding distance but the current electric quantity of the vehicle is smaller than 50% of the full electric quantity, estimating the fare to be equal to the sum of the product of the second unit price and the passenger riding distance and the product of the third unit price and the distance between the third unit price and the destination address and the nearest charging pile; if the remaining travel distance of the vehicle is smaller than the passenger riding distance, the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the fourth unit price and the distance between the fourth unit price and the nearest charging pile and the departure place address.
According to a preferred embodiment of the present invention, the obtaining the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile includes: acquiring the position of a charging pile closest to the departure place address and the position of the charging pile closest to the destination address according to the departure place address, the destination address and the charging pile index equation; respectively acquiring the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile according to the departure address and the destination address and the acquired position of the nearest charging pile away from the departure address and the acquired position of the nearest charging pile away from the destination address; the charging pile index equation is obtained in advance according to the position distribution data of the urban charging piles.
According to a preferred embodiment of the present invention, the acquiring the remaining travel distance of the vehicle includes: obtaining the vehicle residual driving distance through a vehicle residual driving distance estimation equation according to the obtained current electric quantity of the vehicle; the vehicle remaining travel distance estimation equation is obtained in advance according to the vehicle electric quantity and the historical data of the vehicle remaining travel distance.
According to a preferred embodiment of the present invention, the second unit price is less than the first unit price; the third unit price and the fourth unit price are preset values, or dynamic assignment is carried out according to distribution of the charging piles near the departure place address and the destination address.
According to a preferred embodiment of the invention, the method further comprises: and if the passenger riding distance is less than at least one of the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, returning the unpredictable fare to the client.
The technical scheme adopted by the invention for solving the technical problem is to provide a device for estimating the fare, which comprises the following components: the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a user riding request sent by a client, and the user riding request comprises a departure address and a destination address; the estimating unit is used for estimating the fare according to the distance between the departure place address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure place address to the destination address; and the feedback unit is used for feeding back the obtained estimated fare to the client.
According to a preferred embodiment of the present invention, the estimation unit is configured to specifically perform, when estimating the fare according to a distance between a departure location address and a nearest charging pile or a distance between a destination address and a nearest charging pile, and a passenger riding distance from the departure location address to the destination address: the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the third unit price and the distance between the third unit price and the destination address and the nearest charging pile; or the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the fourth unit price and the distance between the fourth unit price and the departure place address and the nearest charging pile.
According to a preferred embodiment of the present invention, the estimation unit is further configured to obtain a current electric quantity of the vehicle and a remaining driving distance of the vehicle; the estimating unit is used for specifically executing the following steps when estimating the fare according to the distance between a departure place address and a nearest charging pile or the distance between a destination address and the nearest charging pile and the passenger riding distance from the departure place address to the destination address: if the remaining travel distance of the vehicle is greater than the passenger riding distance and the current electric quantity of the vehicle is greater than 50% of the full electric quantity, estimating the fare to be equal to the product of the first unit price and the passenger riding distance; if the remaining travel distance of the vehicle is larger than the passenger riding distance but the current electric quantity of the vehicle is smaller than 50% of the full electric quantity, estimating the fare to be equal to the sum of the product of the second unit price and the passenger riding distance and the product of the third unit price and the distance between the third unit price and the destination address and the nearest charging pile; if the remaining travel distance of the vehicle is smaller than the passenger riding distance, the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the fourth unit price and the distance between the fourth unit price and the nearest charging pile and the departure place address.
According to a preferred embodiment of the present invention, the pre-estimating unit, when being configured to obtain a distance between a departure address and a nearest charging pile and a distance between a destination address and the nearest charging pile, specifically executes: acquiring the position of a charging pile closest to the departure place address and the position of the charging pile closest to the destination address according to the departure place address, the destination address and the charging pile index equation; respectively acquiring the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile according to the departure address and the destination address and the acquired position of the nearest charging pile away from the departure address and the acquired position of the nearest charging pile away from the destination address; the charging pile index equation is obtained in advance according to the position distribution data of the urban charging piles.
According to a preferred embodiment of the present invention, the estimation unit, when configured to obtain the remaining driving distance of the vehicle, specifically performs: obtaining the vehicle residual driving distance through a vehicle residual driving distance estimation equation according to the obtained current electric quantity of the vehicle; the vehicle remaining travel distance estimation equation is obtained in advance according to the vehicle electric quantity and the historical data of the vehicle remaining travel distance.
According to a preferred embodiment of the present invention, the second unit price is less than the first unit price; the third unit price and the fourth unit price are preset values, or dynamic assignment is carried out according to distribution of the charging piles near the departure place address and the destination address.
According to a preferred embodiment of the present invention, the feedback unit is further configured to perform: and if the passenger riding distance is less than at least one of the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, returning the unpredictable fare to the client.
According to the technical scheme, the distance from the departure address to the nearest charging pile, the distance from the destination address to the nearest charging pile and the passenger riding distance from the departure address to the destination address are obtained, the special attributes of the unmanned vehicle are fully considered, the driving fee of the unmanned vehicle is estimated, and the accuracy of charging of the unmanned vehicle is improved.
[ description of the drawings ]
Fig. 1 is a flowchart of a method according to an embodiment of the present invention.
Fig. 2 is a diagram illustrating a structure of an apparatus according to an embodiment of the present invention.
Fig. 3 is a block diagram of a computer system/server according to an embodiment of the invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
The cost required by the travel by bus is one of the important bases for selecting the travel mode by the user. At the present stage, various methods for estimating the trip fare of the manned vehicle exist, and the estimation methods can accurately calculate the required trip fare of the manned vehicle. In the invention, the manned vehicle is an operating vehicle controlled by a driver to drive, such as a common taxi or a network taxi; the unmanned vehicle is an operation vehicle which is not controlled by a driver in the vehicle, has automatic driving capability and uses new energy. However, since the unmanned vehicle has a special attribute different from that of the manned vehicle, the method for estimating the trip cost of the manned vehicle cannot be applied to the unmanned vehicle. Therefore, the invention provides a method, a device, equipment and a computer storage medium for estimating the fare of the unmanned vehicle, which are used for estimating the fare of the unmanned vehicle and improving the accuracy of the fare of the unmanned vehicle.
Fig. 1 is a flowchart of a method according to an embodiment of the present invention, and as shown in fig. 1, the method may mainly include the following steps:
in 101, a user taking car request sent by a client is obtained, wherein the user taking car request comprises a departure address and a destination address.
In this step, the user request includes the departure address and the destination address, or further includes the riding time. Optionally, in a specific implementation process of this embodiment, the starting address of the user may be an address where the client is located, or an address input by the user. When the user inputs the departure place address or the destination address by himself, the user can input the departure place address or the destination address in a manual editing mode or in a clicking or selecting mode on the map.
Optionally, in a specific implementation process of this embodiment, the client may be an application located in the local terminal, or may also be a functional unit such as a plug-in or Software Development Kit (SDK) located in the local terminal application, or may also be another device located in the network side server, which is not particularly limited in this embodiment.
At 102, the fare estimation is carried out according to the distance between the departure place address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure place address to the destination address.
In this step, before the fare estimation is performed according to the riding request of the user, the riding distance of the passenger from the departure address to the destination address, the distance from the departure address to the nearest charging pile and the distance from the destination address to the nearest charging pile need to be obtained first. And planning a path according to the departure address and the destination address in the user riding request, and acquiring the passenger riding distance from the departure address to the destination address. The passenger riding distance is obtained according to the starting point and the ending point, which belongs to the prior art and is not described in detail herein.
When the distance from the departure location to the nearest charging pile and the distance from the destination location to the nearest charging pile are obtained, the position of the nearest charging pile to the departure location and the position of the nearest charging pile to the destination location need to be obtained respectively. In the step, the position of the charging pile closest to the departure address and the position of the charging pile closest to the destination address are respectively obtained through a charging pile index equation. Wherein, fill electric pile index equation and obtain for the position distribution data of filling electric pile according to the city in advance, fill electric pile index equation and be:
p(i)=f1(xi,yi)
in the formula: p (i) represents the ith charging post, which contains the coordinates of the location of the ith charging post; (x)i,yi) Representing the coordinates of a location.
And because the index equation of the charging pile is obtained according to the position distribution data of the charging pile in the city, if the position distribution data of the charging pile in different cities are different, the obtained index equation of the charging pile is different. Optionally, in a specific implementation process of this embodiment, for a departure address and a destination address in a ride request of a user, which need to be located in the same city, an index of a charging pile is performed by using a charging pile index equation corresponding to the city. And determining which cities the departure address and the destination address are respectively located in according to the departure address and the destination address, and then using a charging pile index equation corresponding to the corresponding cities to index the charging piles. The following description will be given taking as an example that the user riding request is located in the same city.
Therefore, the position of the charging pile closest to the departure place address and the position of the charging pile closest to the destination address are respectively obtained according to the departure place address and the destination address in the riding request of the user through the charging pile index equation. After the positions of the charging piles closest to the departure address and the destination address are respectively obtained, the distance calculation equation is used, the distance between the departure address and the charging pile closest to the departure address is obtained according to the departure address and the position of the charging pile closest to the departure address, and the distance between the destination address and the charging pile closest to the destination address is obtained according to the destination address and the position of the charging pile closest to the destination address.
The calculation equation of the distance between the departure place address and the nearest charging pile is as follows:
dsp=f2[(xs,ys),p(n)]
in the formula: dspRepresenting the distance between the departure address and the nearest charging pile, (x)s,ys) And p (n) represents the position coordinate of the starting place address, and the position coordinate of the charging pile closest to the starting place address.
The calculation equation of the distance between the destination address and the nearest charging pile is as follows:
dep=f2[(xe,ye),p(m)]
in the formula: depRepresents the distance between the destination address and the nearest charging pile (x)e,ye) And p (m) represents the location coordinates of the nearest charging post to the destination address.
After the distance from the departure address to the nearest charging pile, the passenger riding distance from the departure address to the destination address and the distance from the destination address to the nearest charging pile are obtained, the fare of the riding request of the user can be estimated by using an estimation equation. In this step, the fare estimation equations used are respectively:
Cost=ω0’*dse3*dep
in the formula: cost is an estimated fare, omega0' is a second unit price, dseFor passenger riding distance, omega3Is a third unit price, depThe distance between the destination address and the nearest charging pile.
Cost=ω0’*dse4*dsp
In the formula: cost is an estimated fare, omega0' is a second unit price, dseFor passenger riding distance, omega4Is a fourth unit price, dspThe distance between the destination address and the nearest charging pile.
When the fare is estimated according to the riding request of the user, a proper estimation equation is selected to estimate the fare by combining the residual running distance of the vehicle, the riding distance of the passenger and the current electric quantity of the vehicle. Therefore, in this step, the current amount of power of the vehicle and the remaining travel distance of the vehicle need to be acquired.
And the acquired current electric quantity of the vehicle is the current residual electric quantity of the vehicle. And estimating the distance capable of being traveled by the vehicle according to the current electric quantity of the vehicle through a vehicle remaining travel distance estimation equation. The estimation equation of the vehicle remaining travel distance is obtained in advance according to the vehicle electric quantity and the historical data of the vehicle remaining travel distance, and the estimation equation is as follows:
dt=f3(pt)
in the formula: dtRepresenting the remaining distance of travel of the vehicle at time t, ptRepresenting the remaining capacity of the vehicle at time t.
If the obtained vehicle remaining driving distance is larger than the passenger riding distance and the current electric quantity of the vehicle is larger than 50% of the full electric quantity, the vehicle fee estimation equation is a common charging equation:
Cost=ω0*dse
in the formula: cost is an estimated fare, omega0Is a first unit price, dseFor passenger riding distance.
If the obtained remaining driving distance of the vehicle is greater than the passenger riding distance, but the current electric quantity of the vehicle is less than 50% of the full electric quantity, the estimated equation of the vehicle fee is as follows:
Cost=ω0’*dse3*dep
if the obtained remaining driving distance of the vehicle is less than the passenger riding distance, the estimated fare equation is as follows:
Cost=ω0’*dse4*dsp
wherein the first unit price ω0Conventionally charging prices for the market; second unit price ω0' less than the first unit price is satisfied; third unit price ω3And a fourth unit price ω4The charging pile distribution dynamic assignment method can be a preset value, and can also be a dynamic assignment according to the departure place address and the charging pile distribution near the destination address.
For example, the third unit price ω3Fourth unit price ω4When dynamic assignment is performed according to the distribution of the charging piles near the departure address and the destination address, the assignment formulas can be respectively as follows:
ω3=(dep/dse)*ω0
ω4=(dsp/dse)*ω0
in the formula: depThe distance of the destination address from the nearest charging pile, dseFor passenger riding distance, dspDistance, omega, of destination address from nearest charging pile0' is the second unit price.
For example, if the market price is 1.2 yuan/km, the first unit price is 1.2 yuan/km. According to a riding request of a user, the obtained riding distance of the passenger is 10 kilometers, the distance between a departure address of the passenger and the nearest charging pile is 2 kilometers, the distance between a destination address of the passenger and the nearest charging pile is 4 kilometers, the residual electric quantity of the vehicle is 70% of the full electric quantity of the vehicle, the residual driving distance of the vehicle is 30 kilometers, and according to a prediction equation, the prediction fare of the riding request of the user is as follows: 12 yuan.
For example, if the market price is 1.2 yuan/km, the first unit price is 1.2 yuan/km, the second unit price is 0.6 yuan/km, and the third unit price is 0.3 yuan/km, which is a preset value. According to a riding request of a user, the obtained riding distance of the passenger is 10 kilometers, the distance between a departure address of the passenger and the nearest charging pile is 2 kilometers, the distance between a destination address of the passenger and the nearest charging pile is 4 kilometers, the residual electric quantity of the vehicle is 30% of the full electric quantity of the vehicle, the residual driving distance of the vehicle is 15 kilometers, and according to a prediction equation, the prediction fare of the riding request of the user is as follows: 7.2 yuan.
For example, if the market price is 1.2 yuan/km, the first unit price is 1.2 yuan/km, the second unit price is 0.6 yuan/km, and the fourth unit price is 0.3 yuan/km, which is a preset value. According to the riding request of the user, the obtained riding distance of the passenger is 10 kilometers, the distance between the departure address of the passenger and the nearest charging pile is 2 kilometers, the distance between the destination address of the passenger and the nearest charging pile is 4 kilometers, and the remaining driving distance of the vehicle is 8 kilometers, according to the formula, the estimated fare of the riding request of the user is as follows: 6.6 yuan.
In the step, when the passenger riding distance is greater than the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, the user riding request is subjected to fare estimation by using different estimation equations through judging the size relation between the residual vehicle travelling distance and the passenger riding distance and the size relation between the current electric quantity of the vehicle and 50% of the full electric quantity of the vehicle, and the estimated fare is obtained. If the obtained passenger riding distance is smaller than the distance between the departure address and the nearest charging pile or the distance between the destination address and the nearest charging pile, or the passenger riding distance is smaller than the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, the fare can not be estimated by using the estimation equation.
In 103, the obtained estimated fare is fed back to the client.
In this step, if the estimated fare is obtained according to the riding request of the user, the obtained estimated fare is fed back to the client, and the client can present the estimated fare to the user in a display or voice mode. If the cost can not be estimated by using the estimation equation according to the riding request of the user, the result that the fare can not be estimated is returned to the client, and the client can feed back the fare which can not be estimated to the user in a display or voice mode and can inform the reason.
The following is a detailed description of the structure of the apparatus according to the embodiment of the present invention. As shown in fig. 2, the apparatus includes: an acquisition unit 21, a prediction unit 22 and a feedback unit 23.
The obtaining unit 21 is configured to obtain a user riding request sent by a client, where the user riding request includes a departure address and a destination address.
The user riding request acquired by the acquiring unit 21 includes a departure address and a destination address, or further includes riding time. Optionally, in a specific implementation process of this embodiment, the starting address of the user may be an address where the client is located, or an address input by the user. When the user inputs the departure place address or the destination address by himself, the user can input the departure place address or the destination address in a manual editing mode or in a clicking or selecting mode on the map.
Optionally, in a specific implementation process of this embodiment, the client may be an application located in the local terminal, or may also be a functional unit such as a plug-in or Software Development Kit (SDK) located in the local terminal application, or may also be another device located in the network side server, which is not particularly limited in this embodiment.
And the estimating unit 22 is used for estimating the fare according to the distance between the departure place address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure place address to the destination address.
The estimation unit 22 needs to first acquire a passenger riding distance from a departure location address to a destination address, a distance from the departure location address to the nearest charging pile, and a distance from the destination address to the nearest charging pile before estimating the fare according to a riding request of a user. The estimation unit 21 performs path planning according to a departure address and a destination address in a user riding request, and obtains a passenger riding distance from the departure address to the destination address. The passenger riding distance is obtained according to the starting point and the ending point, which belongs to the prior art and is not described in detail herein.
When obtaining the distance between the departure location address and the nearest charging pile and the distance between the destination address and the nearest charging pile, the estimation unit 22 first needs to obtain the position of the nearest charging pile and the position of the nearest charging pile. The estimation unit 22 obtains the position of the charging pile closest to the departure address and the position of the charging pile closest to the destination address through a charging pile index equation. Wherein, fill electric pile index equation and obtain for the position distribution data of filling electric pile according to the city in advance, fill electric pile index equation and be:
p(i)=f1(xi,yi)
in the formula: p (i) represents the ith charging pile, which comprises the position coordinate of the ith charging pile; (x)i,yi) Representing a location coordinate.
And because the index equation of the charging pile is obtained according to the position distribution data of the charging pile in the city, if the position distribution data of the charging pile in different cities are different, the obtained index equation of the charging pile is different. Optionally, in a specific implementation process of this embodiment, for a departure address and a destination address in a ride request of a user, which need to be located in the same city, an index of a charging pile is performed by using a charging pile index equation corresponding to the city. And determining which cities the departure address and the destination address are respectively located in according to the departure address and the destination address, and then using a charging pile index equation corresponding to the corresponding cities to index the charging piles. The following description will be given taking as an example that the user riding request is located in the same city.
Therefore, the estimation unit 22 respectively obtains the position of the charging pile closest to the departure address and the position of the charging pile closest to the destination address according to the departure address and the destination address in the riding request of the user through the charging pile index equation. After the estimation unit 22 respectively obtains the locations of the charging piles closest to the departure address and the destination address, the distance calculation equation is used for obtaining the distance between the departure address and the nearest charging pile according to the departure address and the charging pile location closest to the departure address, and obtaining the distance between the destination address and the nearest charging pile according to the destination address and the charging pile location closest to the destination address.
The calculation equation of the distance between the departure place address and the nearest charging pile is as follows:
dsp=f2[(xs,ys),p(n)]
in the formula: dspRepresenting the distance between the departure address and the nearest charging pile, (x)s,ys) And p (n) represents the position coordinate of the starting place address, and the position coordinate of the charging pile closest to the starting place address.
The calculation equation of the distance between the destination address and the nearest charging pile is as follows:
dep=f2[(xe,ye),p(m)]
in the formula: depRepresents the distance between the destination address and the nearest charging pile (x)e,ye) And p (m) represents the location coordinates of the nearest charging post to the destination address.
After the estimation unit 22 obtains the distance from the departure address to the nearest charging pile, the passenger riding distance from the departure address to the destination address and the distance from the destination address to the nearest charging pile, the fare estimation can be performed on the riding request of the user by using the estimation equation. The fare estimation equations used by the estimation unit 22 are:
Cost=ω0’*dse3*dep
in the formula: cost is an estimated fare, omega0' is a second unit price, dseFor passenger riding distance, omega3Is a third unit price, depThe distance between the destination address and the nearest charging pile.
Cost=ω0’*dse4*dsp
In the formula: cost is an estimated fare, omega0' is a second unit price, dseFor passenger riding distance, omega4Is a fourth unit price, dspThe distance between the destination address and the nearest charging pile.
When estimating the fare according to the riding request of the user, the estimating unit 22 needs to select a suitable estimating equation to estimate the fare by combining the remaining driving distance of the vehicle, the riding distance of the passenger and the current electric quantity of the vehicle. Therefore, the estimation unit 22 needs to acquire the current amount of power of the vehicle and the remaining travel distance of the vehicle.
The current electric quantity of the vehicle obtained by the estimation unit 22 is the current remaining electric quantity of the vehicle. The estimation unit 22 estimates the distance that the vehicle can travel according to the current electric quantity of the vehicle through a vehicle remaining travel distance estimation equation. The estimation equation of the vehicle remaining travel distance is obtained in advance according to the vehicle electric quantity and the historical data of the vehicle remaining travel distance, and the estimation equation is as follows:
dt=f3(pt)
in the formula: dtRepresenting the remaining distance of travel of the vehicle at time t, ptRepresenting the remaining capacity of the vehicle at time t.
If the remaining driving distance of the vehicle obtained by the estimation unit 22 is greater than the passenger riding distance and the current electric quantity of the vehicle is greater than 50% of the full electric quantity, the estimated fare equation is a common billing equation:
Cost=ω0*dse
in the formula: cost is an estimated fare, omega0Is a first unit price, dseFor passenger riding distance.
If the remaining driving distance of the vehicle obtained by the estimation unit 22 is greater than the passenger riding distance, but the current electric quantity of the vehicle is less than 50% of the full electric quantity, the estimated fare equation is:
Cost=ω0’*dse3*dep
if the remaining driving distance of the vehicle obtained by the estimation unit 22 is less than the passenger riding distance, the estimated fare equation is:
Cost=ω0’*dse4*dsp
wherein the first unit price ω0Conventionally charging prices for the market; second unit price ω0' less than the first unit price is satisfied; third unit price ω3And a fourth unit price ω4Can be preset valueAnd dynamic assignment can be distributed according to the departure place address and the charging piles near the destination address.
For example, the third unit price ω3Fourth unit price ω4When dynamic assignment is performed according to the distribution of the charging piles near the departure address and the destination address, the assignment formulas can be respectively as follows:
ω3=(dep/dse)*ω0
ω4=(dsp/dse)*ω0
in the formula: depThe distance of the destination address from the nearest charging pile, dseFor passenger riding distance, dspDistance, omega, of destination address from nearest charging pile0' is the second unit price.
When the passenger riding distance is greater than the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, the estimation unit 22 estimates the fare of the user riding request by using different estimation equations through judging the magnitude relation between the residual driving distance of the vehicle and the passenger riding distance and the magnitude relation between the current electric quantity of the vehicle and 50% of the full electric quantity of the vehicle, and obtains the estimated fare. If the obtained passenger riding distance is smaller than the distance between the departure address and the nearest charging pile or the distance between the destination address and the nearest charging pile, or the passenger riding distance is smaller than both the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, the estimation unit 22 cannot estimate the fare by using the estimation equation.
And the feedback unit 23 is configured to feed back the obtained estimated fare to the client.
If the estimated fare is obtained by the estimating unit 22 according to the riding request of the user, the obtained estimated fare is fed back to the client through the feedback unit 23, and the client can present the obtained estimated fare to the user in a display or voice mode. If the estimation unit 22 cannot estimate the fare by using the corresponding estimation equation according to the riding request of the user, the feedback unit 23 returns the result that the fare cannot be estimated to the client, and the client can feed back the fare that cannot be estimated to the user in a display or voice mode and can inform the reason.
Fig. 3 illustrates a block diagram of an exemplary computer system/server 012 suitable for use in implementing embodiments of the invention. The computer system/server 012 shown in fig. 3 is only an example, and should not bring any limitations to the function and the scope of use of the embodiments of the present invention.
As shown in fig. 3, the computer system/server 012 is embodied as a general purpose computing device. The components of computer system/server 012 may include, but are not limited to: one or more processors or processing units 016, a system memory 028, and a bus 018 that couples various system components including the system memory 028 and the processing unit 016.
Bus 018 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer system/server 012 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer system/server 012 and includes both volatile and nonvolatile media, removable and non-removable media.
System memory 028 can include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)030 and/or cache memory 032. The computer system/server 012 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 034 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be connected to bus 018 via one or more data media interfaces. Memory 028 can include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the present invention.
Program/utility 040 having a set (at least one) of program modules 042 can be stored, for example, in memory 028, such program modules 042 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof might include an implementation of a network environment. Program modules 042 generally perform the functions and/or methodologies of embodiments of the present invention as described herein.
The computer system/server 012 may also communicate with one or more external devices 014 (e.g., keyboard, pointing device, display 024, etc.), hi the present invention, the computer system/server 012 communicates with an external radar device, and may also communicate with one or more devices that enable a user to interact with the computer system/server 012, and/or with any device (e.g., network card, modem, etc.) that enables the computer system/server 012 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 022. Also, the computer system/server 012 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 020. As shown, the network adapter 020 communicates with the other modules of the computer system/server 012 via bus 018. It should be appreciated that, although not shown, other hardware and/or software modules may be used in conjunction with the computer system/server 012, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 016 executes various functional applications and data processing by running programs stored in the system memory 028, for example, implementing a fare estimation method, which may include:
acquiring a user riding request sent by a client, wherein the user riding request comprises a departure place address and a destination address;
estimating the fare according to the distance between the departure address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure address to the destination address;
and feeding back the obtained estimated fare to the client.
The computer program described above may be provided in a computer storage medium encoded with a computer program that, when executed by one or more computers, causes the one or more computers to perform the method flows and/or apparatus operations shown in the above-described embodiments of the invention. For example, the method flows executed by the one or more processors may include:
acquiring a user riding request sent by a client, wherein the user riding request comprises a departure place address and a destination address;
estimating the fare according to the distance between the departure address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance from the departure address to the destination address;
and feeding back the obtained estimated fare to the client.
With the development of time and technology, the meaning of media is more and more extensive, and the propagation path of computer programs is not limited to tangible media any more, and can also be downloaded from a network directly and the like. Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
According to the technical scheme, the distance from the departure address to the nearest charging pile, the distance from the destination address to the nearest charging pile and the passenger riding distance from the departure address to the destination address are obtained, the special attributes of the unmanned vehicle are fully considered, the driving fee of the unmanned vehicle is estimated, and the accuracy of estimating the vehicle fee of the unmanned vehicle is improved.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (16)

1. A method of fare estimation, the method comprising:
acquiring a user riding request sent by a client, wherein the user riding request comprises a departure place address and a destination address;
acquiring the current electric quantity of a vehicle and the remaining driving distance of the vehicle, and estimating the vehicle fee by using unit prices corresponding to different distance types according to the distance between a departure place address and a nearest charging pile or the distance between a destination address and the nearest charging pile and the passenger riding distance between the departure place address and the destination address;
and feeding back the obtained estimated fare to the client.
2. The method of claim 1, wherein the estimating the fare using unit prices corresponding to different distance types according to a distance between an origin address and a nearest charging post or a distance between a destination address and the nearest charging post and a passenger riding distance from the origin address to the destination address comprises:
the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the third unit price and the distance between the third unit price and the destination address and the nearest charging pile; alternatively, the first and second electrodes may be,
the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the fourth unit price and the distance between the fourth unit price and the place of departure address and the nearest charging pile.
3. The method of claim 1, wherein the obtaining of the current electric quantity of the vehicle and the remaining driving distance of the vehicle, and the estimating of the fare using unit prices corresponding to different distance types according to a distance between an origin address and a nearest charging pile or a distance between a destination address and a nearest charging pile and a passenger riding distance from the origin address to the destination address comprises:
if the remaining travel distance of the vehicle is greater than the passenger riding distance and the current electric quantity of the vehicle is greater than 50% of the full electric quantity, estimating the fare to be equal to the product of the first unit price and the passenger riding distance;
if the remaining travel distance of the vehicle is larger than the passenger riding distance but the current electric quantity of the vehicle is smaller than 50% of the full electric quantity, estimating the fare to be equal to the sum of the product of the second unit price and the passenger riding distance and the product of the third unit price and the distance between the third unit price and the destination address and the nearest charging pile;
if the remaining travel distance of the vehicle is smaller than the passenger riding distance, the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the fourth unit price and the distance between the fourth unit price and the nearest charging pile and the departure place address.
4. The method of claim 1, wherein obtaining the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile comprises:
acquiring the position of a charging pile closest to the departure place address and the position of the charging pile closest to the destination address according to the departure place address, the destination address and the charging pile index equation;
respectively acquiring the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile according to the departure address and the destination address and the acquired position of the nearest charging pile away from the departure address and the acquired position of the nearest charging pile away from the destination address;
the charging pile index equation is obtained in advance according to the position distribution data of the urban charging piles.
5. The method of claim 1, wherein the obtaining the vehicle distance remaining to be traveled comprises:
obtaining the vehicle residual driving distance through a vehicle residual driving distance estimation equation according to the obtained current electric quantity of the vehicle;
the vehicle remaining travel distance estimation equation is obtained in advance according to the vehicle electric quantity and the historical data of the vehicle remaining travel distance.
6. The method of claim 2 or 3, wherein the second unit price is less than the first unit price;
the third unit price and the fourth unit price are preset values, or dynamic assignment is carried out according to distribution of the charging piles near the departure place address and the destination address.
7. The method of claim 1, further comprising:
and if the passenger riding distance is less than at least one of the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, returning the unpredictable fare to the client.
8. An apparatus for fare estimation, the apparatus comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a user riding request sent by a client, and the user riding request comprises a departure address and a destination address;
the estimating unit is used for acquiring the current electric quantity of the vehicle and the residual running distance of the vehicle, and estimating the fare by using unit prices corresponding to different distance types according to the distance between a departure address and a nearest charging pile or the distance between a destination address and the nearest charging pile and the passenger riding distance from the departure address to the destination address;
and the feedback unit is used for feeding back the obtained estimated fare to the client.
9. The apparatus of claim 8, wherein the estimation unit is configured to perform, when performing fare estimation using unit prices corresponding to different distance types according to a distance between an origin address and a nearest charging post or a distance between a destination address and the nearest charging post, and a passenger riding distance from the origin address to the destination address, in particular:
the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the third unit price and the distance between the third unit price and the destination address and the nearest charging pile; alternatively, the first and second electrodes may be,
the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the fourth unit price and the distance between the fourth unit price and the place of departure address and the nearest charging pile.
10. The device of claim 8, wherein the estimation unit obtains the current electric quantity of the vehicle and the remaining driving distance of the vehicle, and specifically executes when the fare estimation is performed by using unit prices corresponding to different distance types according to the distance between the departure address and the nearest charging pile or the distance between the destination address and the nearest charging pile and the passenger riding distance between the departure address and the destination address:
if the remaining travel distance of the vehicle is greater than the passenger riding distance and the current electric quantity of the vehicle is greater than 50% of the full electric quantity, estimating the fare to be equal to the product of the first unit price and the passenger riding distance;
if the remaining travel distance of the vehicle is larger than the passenger riding distance but the current electric quantity of the vehicle is smaller than 50% of the full electric quantity, estimating the fare to be equal to the sum of the product of the second unit price and the passenger riding distance and the product of the third unit price and the distance between the third unit price and the destination address and the nearest charging pile;
if the remaining travel distance of the vehicle is smaller than the passenger riding distance, the estimated fare is equal to the sum of the product of the second unit price and the passenger riding distance and the product of the fourth unit price and the distance between the fourth unit price and the nearest charging pile and the departure place address.
11. The apparatus of claim 8, wherein the pre-estimating unit, when obtaining the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, specifically performs:
acquiring the position of a charging pile closest to the departure place address and the position of the charging pile closest to the destination address according to the departure place address, the destination address and the charging pile index equation;
respectively acquiring the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile according to the departure address and the destination address and the acquired position of the nearest charging pile away from the departure address and the acquired position of the nearest charging pile away from the destination address;
the charging pile index equation is obtained in advance according to the position distribution data of the urban charging piles.
12. The device according to claim 8, wherein the estimation unit, when being configured to obtain the remaining driving distance of the vehicle, specifically performs:
obtaining the vehicle residual driving distance through a vehicle residual driving distance estimation equation according to the obtained current electric quantity of the vehicle;
the vehicle remaining travel distance estimation equation is obtained in advance according to the vehicle electric quantity and the historical data of the vehicle remaining travel distance.
13. The apparatus of claim 9 or 10, wherein the second unit price is less than the first unit price;
the third unit price and the fourth unit price are preset values, or dynamic assignment is carried out according to distribution of the charging piles near the departure place address and the destination address.
14. The apparatus of claim 8, wherein the feedback unit is further configured to perform:
and if the passenger riding distance is less than at least one of the distance between the departure address and the nearest charging pile and the distance between the destination address and the nearest charging pile, returning the unpredictable fare to the client.
15. An apparatus, characterized in that the apparatus comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
16. A storage medium containing computer-executable instructions for performing the method of any one of claims 1-7 when executed by a computer processor.
CN201710101445.2A 2017-02-23 2017-02-23 Method, device and equipment for estimating vehicle fare and computer storage medium Active CN106952110B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710101445.2A CN106952110B (en) 2017-02-23 2017-02-23 Method, device and equipment for estimating vehicle fare and computer storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710101445.2A CN106952110B (en) 2017-02-23 2017-02-23 Method, device and equipment for estimating vehicle fare and computer storage medium

Publications (2)

Publication Number Publication Date
CN106952110A CN106952110A (en) 2017-07-14
CN106952110B true CN106952110B (en) 2022-02-25

Family

ID=59466998

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710101445.2A Active CN106952110B (en) 2017-02-23 2017-02-23 Method, device and equipment for estimating vehicle fare and computer storage medium

Country Status (1)

Country Link
CN (1) CN106952110B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109765895B (en) * 2019-01-24 2022-05-03 平安科技(深圳)有限公司 Unmanned vehicle control method, unmanned vehicle control device, unmanned vehicle and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101493955A (en) * 2009-02-25 2009-07-29 深圳市凯立德计算机系统技术有限公司 Fare prediction method, system and mobile terminal
CN106218427A (en) * 2016-07-28 2016-12-14 百度在线网络技术(北京)有限公司 The charging method of unmanned vehicle and device

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101493955A (en) * 2009-02-25 2009-07-29 深圳市凯立德计算机系统技术有限公司 Fare prediction method, system and mobile terminal
CN106218427A (en) * 2016-07-28 2016-12-14 百度在线网络技术(北京)有限公司 The charging method of unmanned vehicle and device

Also Published As

Publication number Publication date
CN106952110A (en) 2017-07-14

Similar Documents

Publication Publication Date Title
US11449908B2 (en) Method and system for determining transport service fee
CN107122866B (en) Method, equipment and storage medium for predicting order cancelling behavior of passenger
CN108154253B (en) Travel mode recommendation method and device
CN109543923B (en) Vehicle queuing time prediction method, system, device and storage medium
WO2019056874A1 (en) Carsharing route providing method, client, server and carsharing system
US20180253815A1 (en) Methods and systems for modifying location information of a request
CN111324824B (en) Destination recommendation method and device, electronic device and readable storage medium
CN107909180B (en) Processing method, equipment and readable medium for public transport travel
CN112798004B (en) Positioning method, device and equipment for vehicle and storage medium
CN111326015A (en) Parking spot recommendation method and device
KR20170128907A (en) Vehicle system and battery charging method thereof
JP7080561B2 (en) Information providing device and information providing method
CN112683289A (en) Navigation method and device
CN107886717B (en) Parking guidance method and device, computing equipment and storage medium
CN111898042B (en) Riding point recommendation method, riding point recommendation device, riding point recommendation equipment and storage medium
CN110542425B (en) Navigation path selection method, navigation device, computer equipment and readable medium
CN112466111A (en) Vehicle running control method and device, storage medium and electronic equipment
CN111354217A (en) Parking route determining method, device, equipment and medium
CN106952110B (en) Method, device and equipment for estimating vehicle fare and computer storage medium
CN110186472A (en) Vehicle yaw detection method, computer equipment, storage medium and Vehicular system
CN112616118A (en) ETC portal frame determination method and device for vehicle passing through and storage medium
CN109270566B (en) Navigation method, navigation effect testing method, device, equipment and medium
CN108827329B (en) City navigation method, system, equipment and storage medium
CN110598989A (en) Goods source quality evaluation method, device, equipment and storage medium
CN112001516B (en) Information processing method, device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant