CN106297039A - A kind of WEB based on reservation time of chartering and mileage and frequency preengages method of hiring a car - Google Patents
A kind of WEB based on reservation time of chartering and mileage and frequency preengages method of hiring a car Download PDFInfo
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- CN106297039A CN106297039A CN201610665284.5A CN201610665284A CN106297039A CN 106297039 A CN106297039 A CN 106297039A CN 201610665284 A CN201610665284 A CN 201610665284A CN 106297039 A CN106297039 A CN 106297039A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/0042—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects
- G07F17/0057—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects for the hiring or rent of vehicles, e.g. cars, bicycles or wheelchairs
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Abstract
A kind of WEB reservation based on reservation time of chartering and mileage and frequency of disclosure of the invention is hired a car method, and it comprises the following steps: user is hired a car information to system input of hiring a car by WEB page；System is according to hiring a car information planning path, and estimates mileage number and required electricity；System shows in WEB page can preengage vehicle inventory；User selects vehicle；System-computed and by WEB page show user can free subscription time, user selects cancellation or charging after time-out；System-computed initiates the history temperature hired a car a little, and determines delay duration according to result of calculation；System determines the successful user of reservation after delay duration terminates, and then notifies user by note and WEB page.This programme freely preengages duration according to member's grade offer differentiation, may advantageously facilitate the enthusiasm of hiring a car of hirer, and the normal earning of energy support vehicles.This programme is applicable to all of car rental system.
Description
Technical field
The present invention relates to electric automobile lease field, especially relate to a kind of based on preengaging time of chartering and mileage and frequency
WEB reservation hire a car method.
Background technology
It is that the people for some plan trips provides convenient that reservation is hired a car, but if vehicle electricity is insufficient for car user
Stroke need, then the trip of car user can be made troubles.For taking vehicle for a long time, preengage and do not rent, then can affect
The normal operation of vehicle, also can damage the interests of other hirers simultaneously.Meanwhile, for peak period and preengage website frequently
Delaying policy and benefit's strategy is used also to be necessary.
State Intellectual Property Office of the People's Republic of China disclosed entitled " a kind of based on charging on 01 14th, 2015
Stake electric automobile lease management system and management of leasing method " patent documentation (publication number: CN104282088A), its bag
Include system remote management control center, electric automobile, charging pile and intelligent terminal；Car cell number is installed on described electric automobile
According to acquisition module, wireless communication module and intelligent control module；Intelligent control unit and the mould that communicates are installed on described charging pile
Block, described intelligent terminal and system remote management control center radio communication, the wireless communication module of described electric automobile be
System remote management and control center radio communication.This scheme is not provided that applicable reservation is hired a car method.
Summary of the invention
The present invention mainly solves cannot balance existing for prior art and preengages duration and the technical problem of convenience, carries
For a kind of have more efficient be also provided simultaneously with preferable convenience based on reservation time of chartering and mileage and frequency WEB reservation
Hire a car method.
The present invention is directed to what above-mentioned technical problem was mainly addressed by following technical proposals: a kind of based on reservation rent
The WEB of car time and mileage and frequency preengages method of hiring a car, and comprises the following steps:
S1, user initiate, to system input of hiring a car, hire a car point, destination and transit point by WEB page；
S2, system are according to the information planning path of user's input, and estimate mileage number and required electricity；
S3, system show in WEB page can preengage vehicle inventory, can preengage vehicle inventory include vehicle model, each
The picture of car different angles and the mileage number travelled；
S4, user are from preengaging selection vehicle vehicle inventory；
S5, system-computed and by WEB page show user can free subscription time, user select after time-out cancellation or
Charging；System receives reserve requests；
S6, system-computed initiate the history temperature hired a car a little, and determine delay duration according to result of calculation；
S7, system determine the successful user of reservation after delay duration terminates, and are then sent out by note and WEB page notice
Send reservation successfully to notify to the user of reservation, and preengage failed notice to reservation by note and WEB page notice transmission
Failed user；
S8, for the failed user of reservation, system provides the selection the most again preengage by WEB page, if selection
No, then reservation terminates, if selecting is then to jump to step S3.
WEB page in this programme refers to the common WEB page running on PC, do not comprise for IOS system or
The android system specifically developed APP page.
As preferably, described user can be time freely free reservation duration be freely preengage with Quantity-quality Convert based on subscription time
Long sum, Quantity-quality Convert freely preengages duration and determined by user gradation, and user gradation is by the duration of always hiring a car of user, overall consumption gold
Volume and mileage of always hiring a car determine.User gradation increases along with duration of always hiring a car, the overall consumption amount of money and the increase of mileage of always hiring a car,
Generally it is multiplied by duration weight with duration of always hiring a car and adds that the overall consumption amount of money is multiplied by amount of money weight and is multiplied by mileage plus mileage of always hiring a car
Weight, three's sum obtains empirical value, by look-up table, empirical value is scaled user gradation, then obtains user by look-up table
Quantity-quality Convert corresponding to grade freely preengages duration.Basis free reservation duration is manually set by manager.
As preferably, the history lease frequency that the described initial history temperature hired a car a little is hired a car a little by this is multiplied by this period
Lease temperature obtains, and history lease frequency is that nearest 10 days these some meansigma methodss of the lease frequency of all charging piles of hiring a car are multiplied by and go through
Year the lease frequency of this website on the same day the long-pending positive square root that obtains of meansigma methods, the lease frequency of described this website the most on the same day
The meansigma methods that meansigma methods is the Gregorian calendar lease frequency of this website the most on the same day over the years and the lease frequency of lunar calendar this website the most on the same day
The meansigma methods of meansigma methods.
The festivals or holidays determined according to lunar calendar for the Dragon Boat Festival, the Spring Festival etc., if only considering Gregorian calendar lease frequency on the same day over the years
The data obtained can be not accurate enough, can improve the accuracy of result after adding the impact of lunar calendar.
As preferably, described delay duration determined by look-up table and by, input value be the initial history temperature hired a car a little with
Residue a little of currently hiring a car can rent vehicle number, and output valve is delay duration.
As preferably, the delay duration of each car starts timing from first user selecting this vehicle, follow-up often increases
One user's then delay duration selecting this vehicle increases, and increasing degree progressively reduces until being zero.
Delaying policy is to preengage the vehicle of this website to converge multiple member within the period of time delay simultaneously, with
Acquirement more meets the member of this list of generation and preengages qualification.
As preferably, when same car is selected by m-th user, delay duration increments Tm is determined by below equation:
T is the delay duration that look-up table obtains.
As preferably, in step S7, determine in the following manner and preengage successful user:
The user of these vehicles of selection all in latency period is ranked up according to user gradation, selects user gradation the highest
User be defined as preengaging successful user；If the number of users that user gradation is the highest is more than or equal to two, then by user
The user that the highest grade turns single rate according to reservation and is ranked up, and the user therefrom selecting reservation to turn single rate minimum is defined as preengaging into
The user of merit；If user gradation is the highest and preengages the number of users turning single rate minimum is more than or equal to two, the most therefrom select
Select the user carrying out preengaging the earliest to be defined as preengaging successful user.Reservation turn a single rate be according to member since registration all pre-
About turning single ratio, for the most not carrying out the member that preengages, turning a single rate with reservation is 100% calculating, is conducive to the meeting of encouragement
Member preengages.Reservation turn is changed after singly referring to reservation or cancels an order.
As preferably, the electricity C needed for vehicle determines according to following algorithm:
C=(L-B) × W/Q
In formula, L is the mileage number that vehicle is to be travelled, and Q is the proportionality coefficient of battery discharge, at the different phase of C, Q
Having different performances, W is the average every kilometer of power consumption of vehicle, and B is battery retention parameter, in order to support vehicles are properly functioning, and electricity
Pond has some safe electricity, and B parameter is relevant to safe electricity.
As preferably, the mileage number that vehicle is to be travelled is modified by following steps:
A1, the congestion index obtained on road, if congestion index is 0-2, then the factor of blocking up is taken as 1；The finger if blocked up
Number is 3-4, then the factor of blocking up is taken as 1.02；If congestion index is 5-6, then the factor of blocking up is taken as 1.05；If blocked up
Index is 7-8, then the factor of blocking up is taken as 1.08；If congestion index is 9-10, then the factor of blocking up is taken as 1.1；
A2, the temperature condition of acquisition driving period, if temperature is higher than 30 degrees Celsius or less than 5 degrees Celsius, then by gas
The temperature factor is taken as 1.1；If temperature is between 5 degrees Celsius to 30 degrees Celsius, then the temperature factor is taken as 1；
A3, acquisition user's history travelling data, be taken as individual's factor user's history driving average power consumption and consume with standard
The ratio of electricity；
A4, the mileage number obtained from path planning measurement is multiplied by successively the factor of blocking up, the temperature factor and individual the factor, institute
Must be worth and be the mileage number L that revised vehicle needs travel.
Congestion index is issued by road management department.The information that temperature condition is issued by meteorological department obtains.User goes through
History travelling data obtains from data base, if user is new user, then the individual factor of first five user takes 1.
This programme freely preengages duration according to member's grade offer differentiation, may advantageously facilitate the heat of hiring a car of hirer
Feelings, and the normal earning of energy support vehicles.The approach point and the destination that select according to member calculate general mileage, and root
Determine whether to turn on the aircondition according to present weather conditions, push the vehicle of suitable electricity to different members, improve the target of vehicle
User's matching degree.Using temperature according to section history while website, length and user gradation for mileage carry out differentiation completely
Foot uses car demand.
The substantial effect that the present invention brings it is possible to meet and is planned out accommodating, just disclosure satisfy that vehicle the most simultaneously
Often operation, uses and estimates the calculating using car kilometer, and uses free reservation+paid booking-mechanism, not only contributes to car user and selects
Automobile-used car is convenient, and improves vehicle current electric quantity further and meet the differentiated demand of different crowd.Use heating power website and
Time delay peak period meets the strategy of reservation, and for benefit's strategy in latency period, not only contributes to a relatively long way
Cheng member uses car demand, also can reach the business revenue of vehicle to maximize.
Accompanying drawing explanation
Fig. 1 is a kind of structural representation of the present invention.
Detailed description of the invention
Below by embodiment, and combine accompanying drawing, technical scheme is described in further detail.
Embodiment: a kind of based on reservation time of chartering and mileage and frequency the WEB of the present embodiment preengages method of hiring a car, as
Shown in Fig. 1, comprise the following steps:
S1, user initiate, to system input of hiring a car, hire a car point, destination and transit point by WEB page；
S2, system are according to the information planning path of user's input, and estimate mileage number and required electricity；
S3, system show in WEB page can preengage vehicle inventory, can preengage vehicle inventory include vehicle model, each
The picture of car different angles and the mileage number travelled；
S4, user are from preengaging selection vehicle vehicle inventory；
S5, system-computed and by WEB page show user can free subscription time, user select after time-out cancellation or
Charging；System receives reserve requests；
S6, system-computed initiate the history temperature hired a car a little, and determine delay duration according to result of calculation；
S7, system determine the successful user of reservation after delay duration terminates, and are then sent out by note and WEB page notice
Send reservation successfully to notify to the user of reservation, and preengage failed notice to reservation by note and WEB page notice transmission
Failed user；
S8, for the failed user of reservation, system provides the selection the most again preengage by WEB page, if selection
No, then reservation terminates, if selecting is then to jump to step S3.
Described user can freely based on subscription time free reservation duration freely preengage duration sum with Quantity-quality Convert, etc.
Level conversion free reservation duration is determined by user gradation, and user gradation by the duration of always hiring a car of user, the overall consumption amount of money and is always rented
Car kilometer determines.User gradation increases, generally with always along with duration of always hiring a car, the overall consumption amount of money and the increase of mileage of always hiring a car
Duration of hiring a car is multiplied by duration weight and adds that the overall consumption amount of money is multiplied by amount of money weight and is multiplied by mileage weight, three plus mileage of always hiring a car
Sum obtains empirical value, by look-up table, empirical value is scaled user gradation, then it is corresponding to obtain user gradation by look-up table
Quantity-quality Convert freely preengage duration.Basis free reservation duration is manually set by manager.
The described initial history temperature hired a car a little is multiplied by the lease temperature of this period by this history lease frequency a little of hiring a car
Obtain, history lease frequency be the meansigma methods of nearest 10 days these a little lease frequencies of all charging piles of hiring a car be multiplied by the most on the same day this
The long-pending positive square root that the meansigma methods of the lease frequency of website obtains, the meansigma methods of the described lease frequency of this website on the same day over the years
Meansigma methods and the meansigma methods of the lunar calendar lease frequency of this website on the same day over the years for the Gregorian calendar lease frequency of this website on the same day over the years
Meansigma methods.
The festivals or holidays determined according to lunar calendar for the Dragon Boat Festival, the Spring Festival etc., if only considering Gregorian calendar lease frequency on the same day over the years
The data obtained can be not accurate enough, can improve the accuracy of result after adding the impact of lunar calendar.
Described delay duration is determined by look-up table and is the initial history temperature a little and currently hiring a car a little of hiring a car by, input value
Residue can rent vehicle number, output valve is delay duration.
The delay duration of each car starts timing from first user selecting this vehicle, and follow-up often increase by selects this
The user of vehicle then delay duration increases, and increasing degree progressively reduces until being zero.
Delaying policy is to preengage the vehicle of this website to converge multiple member within the period of time delay simultaneously, with
Acquirement more meets the member of this list of generation and preengages qualification.
When same car is selected by m-th user, delay duration increments Tm is determined by below equation:
T is the delay duration that look-up table obtains.
In step S7, determine in the following manner and preengage successful user:
The user of these vehicles of selection all in latency period is ranked up according to user gradation, selects user gradation the highest
User be defined as preengaging successful user；If the number of users that user gradation is the highest is more than or equal to two, then by user
The user that the highest grade turns single rate according to reservation and is ranked up, and the user therefrom selecting reservation to turn single rate minimum is defined as preengaging into
The user of merit；If user gradation is the highest and preengages the number of users turning single rate minimum is more than or equal to two, the most therefrom select
Select the user carrying out preengaging the earliest to be defined as preengaging successful user.Reservation turn a single rate be according to member since registration all pre-
About turning single ratio, for the most not carrying out the member that preengages, turning a single rate with reservation is 100% calculating, is conducive to the meeting of encouragement
Member preengages.Reservation turn is changed after singly referring to reservation or cancels an order.
Electricity C needed for vehicle determines according to following algorithm:
C=(L-B) × W/Q
In formula, L is the mileage number that vehicle is to be travelled, and Q is the proportionality coefficient of battery discharge, at the different phase of C, Q
Having different performances, W is the average every kilometer of power consumption of vehicle, and B is battery retention parameter, in order to support vehicles are properly functioning, and electricity
Pond has some safe electricity, and B parameter is relevant to safe electricity.
The mileage number that vehicle is to be travelled is modified by following steps:
A1, the congestion index obtained on road, if congestion index is 0-2, then the factor of blocking up is taken as 1；The finger if blocked up
Number is 3-4, then the factor of blocking up is taken as 1.02；If congestion index is 5-6, then the factor of blocking up is taken as 1.05；If blocked up
Index is 7-8, then the factor of blocking up is taken as 1.08；If congestion index is 9-10, then the factor of blocking up is taken as 1.1；
A2, the temperature condition of acquisition driving period, if temperature is higher than 30 degrees Celsius or less than 5 degrees Celsius, then by gas
The temperature factor is taken as 1.1；If temperature is between 5 degrees Celsius to 30 degrees Celsius, then the temperature factor is taken as 1；
A3, acquisition user's history travelling data, be taken as individual's factor user's history driving average power consumption and consume with standard
The ratio of electricity；
A4, the mileage number obtained from path planning measurement is multiplied by successively the factor of blocking up, the temperature factor and individual the factor, institute
Must be worth and be the mileage number L that revised vehicle needs travel.
Congestion index is issued by road management department.The information that temperature condition is issued by meteorological department obtains.User goes through
History travelling data obtains from data base, if user is new user, then the individual factor of first five user takes 1.
This programme freely preengages duration according to member's grade offer differentiation, may advantageously facilitate the heat of hiring a car of hirer
Feelings, and the normal earning of energy support vehicles.The approach point and the destination that select according to member calculate general mileage, and root
Determine whether to turn on the aircondition according to present weather conditions, push the vehicle of suitable electricity to different members, improve the target of vehicle
User's matching degree.Using temperature according to section history while website, length and user gradation for mileage carry out differentiation completely
Foot uses car demand.
Specific embodiment described herein is only to present invention spirit explanation for example.Technology neck belonging to the present invention
Described specific embodiment can be made various amendment or supplements or use similar mode to replace by the technical staff in territory
Generation, but without departing from the spirit of the present invention or surmount scope defined in appended claims.
Although the most more employ can the free term such as subscription time, history temperature, delay duration, but be not precluded from
Use the probability of other term.Use these terms to be only used to more easily to describe and explain the essence of the present invention；?
They are construed to any additional restriction is all contrary with spirit of the present invention.
Claims (9)
1. a WEB based on reservation time of chartering and mileage and frequency preengages method of hiring a car, it is characterised in that include following step
Rapid:
S1, user initiate, to system input of hiring a car, hire a car point, destination and transit point by WEB page；
S2, system are according to the information planning path of user's input, and estimate mileage number and required electricity；
S3, system show in WEB page can preengage vehicle inventory, can preengage vehicle inventory and include vehicle model, each car not
With the picture of angle and the mileage number that travelled；
S4, user are from preengaging selection vehicle vehicle inventory；
S5, system-computed and by WEB page show user can free subscription time, user cancels after selecting time-out or counts
Take；System receives reserve requests；
S6, system-computed initiate the history temperature hired a car a little, and determine delay duration according to result of calculation；
S7, system determine the successful user of reservation after delay duration terminates, and then send pre-by note and WEB page notice
About successfully notice gives the user of reservation, and sends the failed notice of reservation to preengaging unsuccessfully by note and WEB page notice
User；
S8, for the failed user of reservation, system provides the selection the most again preengage by WEB page, if selecting no, then
Reservation terminates, if selecting is then to jump to step S3.
A kind of WEB based on reservation time of chartering and mileage and frequency the most according to claim 1 preengages method of hiring a car, its
Be characterised by, described user can freely based on subscription time free reservation duration freely preengage duration sum with Quantity-quality Convert,
Quantity-quality Convert is freely preengage duration and is determined by user gradation, and user gradation is by the duration of always hiring a car of user, the overall consumption amount of money and total
Mileage of hiring a car determines.
A kind of WEB based on reservation time of chartering and mileage and frequency the most according to claim 1 and 2 preengages the side of hiring a car
Method, it is characterised in that the described initial history temperature hired a car a little is multiplied by the rent of this period by this history lease frequency a little of hiring a car
Temperature of renting obtains, and history lease frequency is that the meansigma methods of nearest 10 days these some lease frequencies of all charging piles of hiring a car is multiplied by over the years
The long-pending positive square root that the meansigma methods of the lease frequency of this website obtains on the same day, the lease frequency of described this website on the same day over the years
Meansigma methods is meansigma methods and the lease frequency of lunar calendar this website on the same day over the years of the Gregorian calendar lease frequency of this website on the same day over the years
The meansigma methods of meansigma methods.
A kind of WEB based on reservation time of chartering and mileage and frequency the most according to claim 3 preengages method of hiring a car, its
Being characterised by, described delay duration is determined by look-up table and is the initial history temperature a little and currently hiring a car of hiring a car by, input value
The residue of point can rent vehicle number, and output valve is delay duration.
A kind of WEB based on reservation time of chartering and mileage and frequency the most according to claim 4 preengages method of hiring a car, its
Being characterised by, the delay duration of each car starts timing, follow-up often one selection of increase from first user selecting this vehicle
The user of this vehicle then delay duration increases, and increasing degree progressively reduces until being zero.
A kind of WEB based on reservation time of chartering and mileage and frequency the most according to claim 5 preengages method of hiring a car, its
Being characterised by, when same car is selected by m-th user, delay duration increments Tm is determined by below equation:
T is the delay duration that look-up table obtains.
A kind of WEB based on reservation time of chartering and mileage and frequency the most according to claim 1 preengages method of hiring a car, its
It is characterised by, in step S7, determines in the following manner and preengage successful user:
The user of these vehicles of selection all in latency period is ranked up according to user gradation, selects the use that user gradation is the highest
Family is defined as preengaging successful user；If the number of users that user gradation is the highest is more than or equal to two, then by user gradation
The highest user turns single rate according to reservation and is ranked up, and therefrom selects reservation to turn the minimum user of single rate and is defined as reservation successfully
User；If user gradation is the highest and preengages the number of users turning single rate minimum is more than or equal to two, the most therefrom select
The user early carrying out preengaging is defined as preengaging successful user.
A kind of WEB based on reservation time of chartering and mileage and frequency the most according to claim 1 preengages method of hiring a car, its
Being characterised by, the electricity C needed for vehicle determines according to following algorithm:
C=(L-B) × W/Q
In formula, L is the mileage number that vehicle is to be travelled, and Q is the proportionality coefficient of battery discharge, and W is the average every kilometer of consumption of vehicle
Electricity, B is battery retention parameter.
A kind of WEB based on reservation time of chartering and mileage and frequency the most according to claim 8 preengages method of hiring a car, its
Being characterised by, the mileage number that vehicle is to be travelled is modified by following steps:
A1, the congestion index obtained on road, if congestion index is 0-2, then the factor of blocking up is taken as 1；If congestion index is
3-4, then the factor of blocking up is taken as 1.02；If congestion index is 5-6, then the factor of blocking up is taken as 1.05；If congestion index
For 7-8, then the factor of blocking up is taken as 1.08；If congestion index is 9-10, then the factor of blocking up is taken as 1.1；
A2, obtain the temperature condition of driving period, if temperature is higher than 30 degrees Celsius or less than 5 degrees Celsius, then by temperature because of
Son is taken as 1.1；If temperature is between 5 degrees Celsius to 30 degrees Celsius, then the temperature factor is taken as 1；
A3, acquisition user's history travelling data, be taken as user's history driving average power consumption and standard power consumption by individual's factor
Ratio；
A4, the mileage number obtained from path planning measurement is multiplied by successively the factor of blocking up, the temperature factor and individual the factor, income value
It is the mileage number L that revised vehicle needs to travel.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109583619A (en) * | 2017-10-18 | 2019-04-05 | 宁波轩悦行电动汽车服务有限公司 | Public system rescue path selection method and the abnormal processing method of returning the car of hiring a car |
| CN109615155A (en) * | 2017-10-18 | 2019-04-12 | 宁波轩悦行电动汽车服务有限公司 | The exception of public system of hiring a car is returned the car processing method and disabled vehicle rescue mode |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008009667A (en) * | 2006-06-29 | 2008-01-17 | Shuttlex Inc | Rental system, computer program for implementing the same, and method thereof |
| CN103971507A (en) * | 2013-01-30 | 2014-08-06 | 国民技术股份有限公司 | Taxi calling method, platform and system |
| CN104076779A (en) * | 2014-06-26 | 2014-10-01 | 上海市城市建设设计研究总院 | Reserving device of field service sharing of new energy automobiles in large-scale entrepreneurship park |
| CN104282088A (en) * | 2014-09-19 | 2015-01-14 | 安徽旗翔科技发展有限公司 | Electric vehicle lease management system on basis of charging piles and lease management method implemented by electric vehicle lease management system |
| CN104992364A (en) * | 2015-07-28 | 2015-10-21 | 行之有道汽车服务股份有限公司 | Unattended electric car rental system and rental method |
| CN105321104A (en) * | 2014-05-27 | 2016-02-10 | 重庆邮电大学 | Car-truck integrated urban electric vehicle time-sharing renting method |
-
2016
- 2016-08-12 CN CN201610665284.5A patent/CN106297039A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008009667A (en) * | 2006-06-29 | 2008-01-17 | Shuttlex Inc | Rental system, computer program for implementing the same, and method thereof |
| CN103971507A (en) * | 2013-01-30 | 2014-08-06 | 国民技术股份有限公司 | Taxi calling method, platform and system |
| CN105321104A (en) * | 2014-05-27 | 2016-02-10 | 重庆邮电大学 | Car-truck integrated urban electric vehicle time-sharing renting method |
| CN104076779A (en) * | 2014-06-26 | 2014-10-01 | 上海市城市建设设计研究总院 | Reserving device of field service sharing of new energy automobiles in large-scale entrepreneurship park |
| CN104282088A (en) * | 2014-09-19 | 2015-01-14 | 安徽旗翔科技发展有限公司 | Electric vehicle lease management system on basis of charging piles and lease management method implemented by electric vehicle lease management system |
| CN104992364A (en) * | 2015-07-28 | 2015-10-21 | 行之有道汽车服务股份有限公司 | Unattended electric car rental system and rental method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109583619A (en) * | 2017-10-18 | 2019-04-05 | 宁波轩悦行电动汽车服务有限公司 | Public system rescue path selection method and the abnormal processing method of returning the car of hiring a car |
| CN109615155A (en) * | 2017-10-18 | 2019-04-12 | 宁波轩悦行电动汽车服务有限公司 | The exception of public system of hiring a car is returned the car processing method and disabled vehicle rescue mode |
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