CN108734981A - It hires a car system and method in conjunction with the reservation of traffic congestion situation - Google Patents

It hires a car system and method in conjunction with the reservation of traffic congestion situation Download PDF

Info

Publication number
CN108734981A
CN108734981A CN201710241202.9A CN201710241202A CN108734981A CN 108734981 A CN108734981 A CN 108734981A CN 201710241202 A CN201710241202 A CN 201710241202A CN 108734981 A CN108734981 A CN 108734981A
Authority
CN
China
Prior art keywords
unit
reservation
section
car
user
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.)
Pending
Application number
CN201710241202.9A
Other languages
Chinese (zh)
Inventor
蒋阳川
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.)
Ningbo Xuanyuexing Electric Automobile Service Co Ltd
Original Assignee
Ningbo Xuanyuexing Electric Automobile Service 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 Ningbo Xuanyuexing Electric Automobile Service Co Ltd filed Critical Ningbo Xuanyuexing Electric Automobile Service Co Ltd
Priority to CN201710241202.9A priority Critical patent/CN108734981A/en
Publication of CN108734981A publication Critical patent/CN108734981A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096833Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles
    • Y02T90/167Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S30/00Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/12Remote or cooperative charging

Abstract

It hires a car system and method the present invention relates to a kind of reservation of combination traffic congestion situation.System includes user hand generator terminal, server, traffic monitoring server, environment measuring end, several charging piles, and server includes mileage calculation unit, time calculating unit, electricity computing unit, reservation determination unit, congestion index computing unit, vehicle selection unit.Present system can estimate user's vehicle institute electricity demand, and the electric vehicle of user's appropriate circuitry is pushed according to electricity, is conducive to user and selects vehicle, and further improve the differentiated demand that vehicle current electric quantity meets different crowd.

Description

It hires a car system and method in conjunction with the reservation of traffic congestion situation
Technical field
The present invention relates to a kind of automobile leasing technical field, the reservation more particularly, to a kind of combination traffic congestion situation is rented Vehicle system and method.
Background technology
It is to be provided conveniently for the people of some plan trips, but if vehicle electricity is insufficient for car user that reservation, which is hired a car, Stroke need, then can make troubles the trip of car user.And provided that vehicle electricity far more than car user use Electricity, and can result in waste of resources, it may result in the need for that more the few vehicle of electricity can only be leased using the car user of electricity, Inconvenience is brought to using, reduces the efficiency hired a car on the whole.
Invention content
The present invention mainly solves rent-a-car power energy allocation in the prior art and mismatches, and causes user inconvenient and resource The problem of waste, provide a kind of according to user's differentiation, the reservation of the combination traffic congestion situation of reasonable distribution is hired a car system And method.
The above-mentioned technical problem of the present invention is mainly to be addressed by following technical proposals:A kind of combination traffic congestion The reservation of situation is hired a car system, including user hand generator terminal, server, traffic monitoring server, environment measuring end, it is several with it is electronic The charging pile of automobile connection, the server include that mileage calculation unit, time calculating unit, electricity computing unit, congestion refer to Number computing units, vehicle selection unit, reservation determination unit, mileage calculation unit, congestion index computing unit respectively with the time Computing unit is connected, and time calculating unit is connected with electricity computing unit, and electricity computing unit is connected with vehicle selection unit, gathers around Stifled exponent calculation unit is connected with environment measuring end, traffic monitoring server respectively by network, and user hand generator terminal passes through network It is connected respectively with mileage calculation unit, vehicle selection unit, reservation determination unit, vehicle selection unit and reservation determination unit phase Even, and vehicle selection unit is connected with each charging pile respectively by network.
User generates planning driving path to hiring a car starting point and destination selects in user hand generator terminal in the present invention.In Journey computing unit leases electric automobile during traveling mileage for calculating user.Environmental monitoring end is used to detect the weather feelings for period of hiring a car Condition.Congestion index computing unit calculates congestion index according to weather condition and traffic conditions.Time calculating unit is according to congestion Index, mileage travelled calculate the electric automobile during traveling time.Electricity computing unit simulates electric vehicle according to running time and arrives Up to the electricity needed for destination.Vehicle selection unit can read the circuit of electric vehicle by charging pile, by corresponding electricity Electric vehicle distributes to user's selection.Single rate can be turned come by electronic vapour according to user gradation and user's history by preengaging determination unit Vehicle distributes to suitable user, meets user's vehicle demand according to user's differentiation, can also reach most to vehicle leasing business revenue Bigization.Present system can estimate user's vehicle institute electricity demand, and the electric vehicle of user's appropriate circuitry is pushed according to electricity, is had Vehicle is selected conducive to user, and further improves the differentiated demand that vehicle current electric quantity meets different crowd.
As a preferred embodiment, the charging pile is installed in each infield in the form of charging pile cluster, often A charging pile cluster is mounted on clustered control unit and communication unit, and clustered control unit is connect with communication unit, charging pile Including electric power detection unit, the electric power detection unit of each charging pile in charging pile cluster connects with clustered control unit respectively It connects, communication module is connected with the communication of vehicle selection unit.Charging pile uses trunking mode management, each charging pile to be examined by electricity Unit is surveyed to detect electric vehicle current electric quantity.Communication unit is connected on clustered control unit, realizes charging pile and server Communication.
A kind of electricity matching reservation of combination traffic congestion situation is hired a car method, is included the following steps:
S1. user hand generator terminal carries out request of hiring a car, and generates travel route;
S2. server calculates the congestion index on every section of road according to traffic congestion situation and weather condition, while according to traveling Then route calculation mileage travelled calculates the running time for covering travel route according to congestion index and mileage travelled;
S3. electric vehicle institute electricity demand is simulated according to running time;According to time disappearing per unit time according to setting Power consumption calculates required battery capacity.
S4. the electric vehicle for being suitble to electricity is chosen according to institute's electricity demand;
S5. hire a car application of the Service Statistics present period to the electric vehicle, by comparing member's grade successively, reservation turns Single rate preengages successful member to determine.
The present invention estimates user's vehicle institute electricity demand, and the electric vehicle of the suitable electricity of user is pushed according to electricity, is conducive to User selects vehicle, and further improves the differentiated demand that vehicle current electric quantity meets different crowd.
As a preferred embodiment, travel route generation includes following procedure in step S1:
S11. the electric vehicle that user hand generator terminal record user chooses is hired a car a little and destination;
S12. travel route is a little generated on map with destination according to hiring a car;
S13. travel route is recorded, and travel route is issued into server.
This programme automatically generates optimization route according to the starting point and destination of lease electric vehicle.
As a preferred embodiment, running time calculating process includes in step S2:
If travel route is S21. divided into trunk section by major trunk roads crossing, the mileage S in each section is calculatedi, i is section Number;
S22. the flow value L that each section current time counts is obtained from traffic monitoring serveri, each section setting Road saturated flow magnitude BLi, calculate the traffic saturation degree B in current each sectioni=Li/BLi
S23. jam level is preset, each jam level includes the threshold range of a traffic saturation degree, and corresponding One simulation congestion value, according to each road section traffic volume saturation degree BiThe threshold range fallen into obtains corresponding simulation congestion value Zi
S24. it is set in advance in fine day or rush hour or environment congestion coefficient H when low peak period in the case of the rainy dayx, x For the number that the fine, rainy day combines with the high and low peak phase, a kind of combination is respectively represented per number, the congestion value in each section is Zi*Hx
S25. each section mileage S is covered according to the average speed v calculating of settingiRequired road-section average running time PTi, obtain initial time QT of the subscription time as first section of traveling1;The average speed set as it is initial when it is pre-defined Get off.Here the vehicle collection reservation time that subscription time, that is, user selects when user hand generator terminal operation appointment is hired a car.
S26. it is fine day or the information of rainy day to obtain weather from environmental monitoring end, according to initial time QTiJudge in friendship Logical peak period or low peak period, and corresponding environment congestion coefficient H is chosen according to the combination of Weather information and the high ebb of trafficx;.
S27. it calculates and covers first section mileage S1Required running time t1=PT1*Z1*Hx1, Hx1Indicate first road The environment congestion coefficient of section selection, according to T1Calculate the initial time QT for starting running second section2, selected according to step S26 It selects corresponding environment congestion coefficient and then calculates the congestion value Z in second section2*Hx2, then calculate and cover second section mileage S2Required running time t2
S28. it so repeats the time required to the traveling covered in all sections has been calculated, by the running time in all sections Addition obtains the final running time for covering travel route
As a preferred embodiment, the process of the selection matched electric vehicle of electricity includes in step S4:
S41. server obtains electric vehicle voltage value to be leased from charging pile;
S42. judge whether there is electricity be more than calculate institute's electricity demand electric vehicle, if having by choose wherein one into Enter step S5, to the prompt of user hand generator terminal without available electric vehicle if not, reservation terminates.This programme can be by suitable electricity Electric vehicle be pushed to user, improve target user's matching degree of vehicle so that use is more reasonable, improves effect of hiring a car Rate.
As a preferred embodiment, determine that the process for preengaging successfully member includes in step S5:
S51. hire a car application of the server statistics present period to current selected electric vehicle, according to member's grade to hiring a car Application user is arranged in order;
If S52. there are the user of identical member's grade, that compares these users turns single rate, according to turn single rate by height to Low sequence arranges these users;
S53. current electric vehicle is distributed to and is arranged in primary user by server, if active user is aligned in One user sends reservation successful information to active user, and reservation terminates, if not then return to step S4, repetitive operation are straight Terminate to reservation.This programme user determination unit preferentially chooses the user being arranged in front according to member's grade and a turn single rate, according to User's differentiation meets user's vehicle demand, and maximization can be also reached to vehicle leasing business revenue.
Therefore, it is an advantage of the invention that:System can estimate user's vehicle institute electricity demand, and it is suitable to push user according to electricity The electric vehicle of circuit is conducive to user and selects vehicle, and further improves the differentiation that vehicle current electric quantity meets different crowd Demand.
Description of the drawings
Attached drawing 1 is a kind of structural frames diagram of the present invention
1- user hand generator terminal 2- server 21- mileage calculation unit 22- time calculating unit 23- vehicle selection units 24- electricity computing units 25- preengages determination unit 26- congestion index computing unit 3- charging pile cluster 31- charging piles 311- electric power detection unit 32- communication unit 33- clustered control unit 4- environment measurings end 41- traffic monitoring servers 42- environment measurings end.
Specific implementation mode
Below with reference to the embodiments and with reference to the accompanying drawing the technical solutions of the present invention will be further described.
Embodiment:
A kind of reservation of combination traffic congestion situation of the present embodiment is hired a car system, as shown in Figure 1, including user hand generator terminal 1, Server 2, traffic monitoring server 41, environment measuring end 43, several charging piles 31 being connect with electric vehicle.Server includes Mileage calculation unit 21, time calculating unit 22, electricity computing unit 24, congestion index computing unit 26, vehicle selection unit 23, determination unit 25 is preengage, mileage calculation unit, congestion index computing unit are connected with time calculating unit respectively, time meter It calculates unit with electricity computing unit to be connected, electricity computing unit is connected with vehicle selection unit, and congestion index computing unit passes through Network is connected with environment measuring end, traffic monitoring server respectively, user hand generator terminal by network respectively with mileage calculation unit, Vehicle selection unit, reservation determination unit are connected, and vehicle selection unit is connected with reservation determination unit, and vehicle selection unit is logical Network is crossed respectively to be connected with each charging pile.
Charging pile 31 is installed in each infield in the form of charging pile cluster 3, and each charging pile cluster 3 is respectively mounted There are clustered control unit 33 and communication unit 32, clustered control unit to be connect with communication unit, charging pile includes electric power detection list The electric power detection unit of member 311, each charging pile in charging pile cluster connect with clustered control unit respectively, communication module and The communication connection of vehicle selection unit.
A kind of electricity matching reservation of combination traffic congestion situation is hired a car method, is included the following steps:
S1. user hand generator terminal carries out request of hiring a car, and generates travel route;Detailed process includes:
S11. the electric vehicle that user hand generator terminal record user chooses is hired a car a little and destination;
S12. travel route is a little generated on map with destination according to hiring a car;
S13. travel route is recorded, and travel route is issued into server.
S2. server calculates the congestion index on every section of road according to traffic congestion situation and weather condition, while according to traveling Then route calculation mileage travelled calculates the running time for covering travel route according to congestion index and mileage travelled;Specific mistake Journey includes:
If travel route is S21. divided into trunk section by major trunk roads crossing, the mileage S in each section is calculatedi, i is section Number;
S22. the flow value L that each section current time counts is obtained from traffic monitoring serveri, each section setting Road saturated flow magnitude BLi, calculate the traffic saturation degree B in current each sectioni=Li/BLi
S23. jam level is preset, each jam level includes the threshold range of a traffic saturation degree, and corresponding One simulation congestion value, according to each road section traffic volume saturation degree BiThe threshold range fallen into obtains corresponding simulation congestion value Zi
S24. it is set in advance in fine day or rush hour or environment congestion coefficient H when low peak period in the case of the rainy dayx, x For the number that the fine, rainy day combines with the high and low peak phase, a kind of combination is respectively represented per number, the congestion value in each section is Zi*Hx
S25. each section mileage S is covered according to the average speed v calculating of settingiRequired road-section average running time PTi, obtain initial time QT of the subscription time as first section of traveling1
S26. it is fine day or the information of rainy day to obtain weather from environmental monitoring end, according to initial time QTiJudge in friendship Logical peak period or low peak period, and corresponding environment congestion coefficient H is chosen according to the combination of Weather information and the high ebb of trafficx;.
S27. it calculates and covers first section mileage S1Required running time t1=PT1*Z1*Hx1, Hx1Indicate first road The environment congestion coefficient of section selection, according to T1Calculate the initial time QT for starting running second section2, selected according to step S26 It selects corresponding environment congestion coefficient and then calculates the congestion value Z in second section2*Hx2, then calculate and cover second section mileage S2Required running time t2
S28. it so repeats the time required to the traveling covered in all sections has been calculated, by the running time in all sections Addition obtains the final running time for covering travel route
S3. electric vehicle institute electricity demand is simulated according to running time;Detailed process includes:
S4. the electric vehicle for being suitble to electricity is chosen according to institute's electricity demand.Detailed process includes:
S41. server obtains electric vehicle voltage value to be leased from charging pile;
S42. judge whether there is electricity be more than calculate institute's electricity demand electric vehicle, if having by choose wherein one into Enter step S5, to the prompt of user hand generator terminal without available electric vehicle if not, reservation terminates.
S5. hire a car application of the Service Statistics present period to the electric vehicle, by comparing member's grade successively, reservation turns Single rate preengages successful member to determine.Detailed process includes:
S51. hire a car application of the server statistics present period to current selected electric vehicle, according to member's grade to hiring a car Application user is arranged in order;
If S52. there are the user of identical member's grade, that compares these users turns single rate, according to turn single rate by height to Low sequence arranges these users;
S53. current electric vehicle is distributed to and is arranged in primary user by server, if active user is aligned in One user sends reservation successful information to active user, and reservation terminates, if not then return to step S4, repetitive operation are straight Terminate to reservation.
Specific embodiment described herein is only an example for the spirit of the invention.Technology belonging to the present invention is led The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Although the arts such as user hand generator terminal, server, mileage calculation unit, time calculating unit are used more herein Language, but it does not preclude the possibility of using other terms.The use of these items is only for more easily describe and explain this The essence of invention;Any one of the additional limitations is construed as all to disagree with spirit of that invention.

Claims (7)

  1. System, including user hand generator terminal, server, traffic monitoring service 1. a kind of reservation of combination traffic congestion situation is hired a car Device, environment measuring end, several charging piles being connect with electric vehicle, the server include mileage calculation unit, time calculating Unit, electricity computing unit, congestion index computing unit, vehicle selection unit, reservation determination unit, mileage calculation unit are gathered around Stifled exponent calculation unit is connected with time calculating unit respectively, and time calculating unit is connected with electricity computing unit, and electricity calculates Unit is connected with vehicle selection unit, congestion index computing unit by network respectively with environment measuring end, traffic monitoring service Device is connected, and user hand generator terminal is connected with mileage calculation unit, vehicle selection unit, reservation determination unit respectively by network, vehicle Selection unit is connected with reservation determination unit, and vehicle selection unit is connected with each charging pile respectively by network.
  2. The system 2. reservation of combination traffic congestion situation according to claim 1 is hired a car, it is characterized in that the charging pile exists Each infield is installed in the form of charging pile cluster, and each charging pile cluster is mounted on clustered control unit and communication Unit, clustered control unit are connect with communication unit, and charging pile includes electric power detection unit, each charging in charging pile cluster The electric power detection unit of stake is connect with clustered control unit respectively, and communication module is connected with the communication of vehicle selection unit.
  3. A kind of method 3. reservation of combination traffic congestion situation is hired a car, using the system in claims 1 or 2, it is characterized in that packet Include following steps:
    S1. user hand generator terminal carries out request of hiring a car, and generates travel route;
    S2. server calculates the congestion index on every section of road according to traffic congestion situation and weather condition, while according to travel route Mileage travelled is calculated, the running time for covering travel route is then calculated according to congestion index and mileage travelled;
    S3. electric vehicle institute electricity demand is simulated according to running time;
    S4. the electric vehicle for being suitble to electricity is chosen according to institute's electricity demand;
    S5. hire a car application of the Service Statistics present period to the electric vehicle, by comparing member's grade, the single rate of reservation turn successively To determine the successful member of reservation.
  4. The method 4. reservation of combination traffic congestion situation according to claim 3 is hired a car, it is characterized in that being travelled in step S1 Route Generation includes following procedure:
    S11. the electric vehicle that user hand generator terminal record user chooses is hired a car a little and destination;
    S12. travel route is a little generated on map with destination according to hiring a car;
    S13. travel route is recorded, and travel route is issued into server.
  5. The method 5. reservation of combination traffic congestion situation according to claim 3 is hired a car, it is characterized in that being travelled in step S2 Time calculating process includes:
    If travel route is S21. divided into trunk section by major trunk roads crossing, the mileage S in each section is calculatedi, i is section number;
    S22. the flow value L that each section current time counts is obtained from traffic monitoring serveri, each section setting road Road saturated flow magnitude BLi, calculate the traffic saturation degree B in current each sectioni=Li/BLi
    S23. jam level is preset, each jam level includes the threshold range of a traffic saturation degree, and one corresponding Congestion value is simulated, according to each road section traffic volume saturation degree BiThe threshold range fallen into obtains corresponding simulation congestion value Zi
    S24. it is set in advance in fine day or rush hour or environment congestion coefficient H when low peak period in the case of the rainy dayx, x be it is fine, The number that rainy day combines with the high and low peak phase respectively represents a kind of combination per number, and the congestion value in each section is Zi*Hx
    S25. each section mileage S is covered according to the average speed v calculating of settingiRequired road-section average running time PTi, obtain Take subscription time as the initial time QT in first section of traveling1
    S26. it is fine day or the information of rainy day to obtain weather from environmental monitoring end, according to initial time QTiJudge to be in traffic peak Phase or low peak period, and corresponding environment congestion coefficient H is chosen according to the combination of Weather information and the high ebb of trafficx
    S27. it calculates and covers first section mileage S1Required running time t1=PT1*Z1*Hx1, Hx1Indicate first section choosing The environment congestion coefficient selected, according to T1Calculate the initial time QT for starting running second section2, according to step S26 selections pair Environment congestion coefficient is answered then to calculate the congestion value Z in second section2*Hx2, then calculate and cover second section mileage S2Institute The running time t needed2
    S28. it so repeats the time required to the traveling covered in all sections has been calculated, the running time in all sections is added Obtain the final running time for covering travel route
  6. The method 6. reservation of combination traffic congestion situation according to claim 3 is hired a car, it is characterized in that being chosen in step S4 The process of the matched electric vehicle of electricity includes:
    S41. server obtains electric vehicle voltage value to be leased from charging pile;
    S42. judge whether there is electricity be more than calculate institute's electricity demand electric vehicle, if having by choose wherein one enter step Rapid S5, to the prompt of user hand generator terminal without available electric vehicle if not, reservation terminates.
  7. The method 7. reservation of combination traffic congestion situation according to claim 6 is hired a car, it is characterized in that being determined in step S5 The process for preengaging successfully member includes:
    S51. hire a car application of the server statistics present period to current selected electric vehicle, according to member's grade to application of hiring a car User is arranged in order;
    If S52. there are the users of identical member's grade, that compares these users turns single rate, from high to low according to turn single rate Sequence arranges these users;
    S53. current electric vehicle is distributed to and is arranged in primary user by server, if active user is aligned in first User, send reservation successful information to active user, reservation terminates, if not then return to step S4, repetitive operation is until pre- About terminate.
CN201710241202.9A 2017-04-13 2017-04-13 It hires a car system and method in conjunction with the reservation of traffic congestion situation Pending CN108734981A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710241202.9A CN108734981A (en) 2017-04-13 2017-04-13 It hires a car system and method in conjunction with the reservation of traffic congestion situation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710241202.9A CN108734981A (en) 2017-04-13 2017-04-13 It hires a car system and method in conjunction with the reservation of traffic congestion situation

Publications (1)

Publication Number Publication Date
CN108734981A true CN108734981A (en) 2018-11-02

Family

ID=63924886

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710241202.9A Pending CN108734981A (en) 2017-04-13 2017-04-13 It hires a car system and method in conjunction with the reservation of traffic congestion situation

Country Status (1)

Country Link
CN (1) CN108734981A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109635972A (en) * 2018-11-23 2019-04-16 杭州优行科技有限公司 Net about vehicle worksheet processing method and apparatus
CN110936845A (en) * 2019-11-07 2020-03-31 安徽中科鸿途智能科技有限公司 Emergency charging method and device for charging pile
CN111242334A (en) * 2020-01-10 2020-06-05 武汉理工大学 Traffic appointment travel method, system and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106127559A (en) * 2016-07-01 2016-11-16 宁波轩悦行电动汽车服务有限公司 Preengage method of hiring a car
CN106157458A (en) * 2016-07-01 2016-11-23 宁波轩悦行电动汽车服务有限公司 Electric automobile timesharing leasing system WEB follows the tracks of vehicle electrical metering method
CN106295823A (en) * 2016-08-12 2017-01-04 宁波轩悦行电动汽车服务有限公司 A kind of APP based on user's differentiation preengages system and method for hiring a car
CN106326992A (en) * 2016-08-12 2017-01-11 宁波轩悦行电动汽车服务有限公司 APP car rental reserving system and method based on electric quantity matching
CN106326993A (en) * 2016-08-12 2017-01-11 宁波轩悦行电动汽车服务有限公司 Electric automobile reserving and renting method
CN106339764A (en) * 2016-08-12 2017-01-18 宁波轩悦行电动汽车服务有限公司 Intelligent vehicle reserving method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106127559A (en) * 2016-07-01 2016-11-16 宁波轩悦行电动汽车服务有限公司 Preengage method of hiring a car
CN106157458A (en) * 2016-07-01 2016-11-23 宁波轩悦行电动汽车服务有限公司 Electric automobile timesharing leasing system WEB follows the tracks of vehicle electrical metering method
CN106295823A (en) * 2016-08-12 2017-01-04 宁波轩悦行电动汽车服务有限公司 A kind of APP based on user's differentiation preengages system and method for hiring a car
CN106326992A (en) * 2016-08-12 2017-01-11 宁波轩悦行电动汽车服务有限公司 APP car rental reserving system and method based on electric quantity matching
CN106326993A (en) * 2016-08-12 2017-01-11 宁波轩悦行电动汽车服务有限公司 Electric automobile reserving and renting method
CN106339764A (en) * 2016-08-12 2017-01-18 宁波轩悦行电动汽车服务有限公司 Intelligent vehicle reserving method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109635972A (en) * 2018-11-23 2019-04-16 杭州优行科技有限公司 Net about vehicle worksheet processing method and apparatus
CN110936845A (en) * 2019-11-07 2020-03-31 安徽中科鸿途智能科技有限公司 Emergency charging method and device for charging pile
CN111242334A (en) * 2020-01-10 2020-06-05 武汉理工大学 Traffic appointment travel method, system and storage medium

Similar Documents

Publication Publication Date Title
CN106326992A (en) APP car rental reserving system and method based on electric quantity matching
US11169555B2 (en) Apparatus, method and article for redistributing power storage devices, such as batteries, between collection, charging and distribution machines
US9552682B2 (en) Apparatus, method and article for redistributing power storage devices, such as batteries, between collection, charging and distribution machines
US9830753B2 (en) Apparatus, method and article for reserving power storage devices at reserving power storage device collection, charging and distribution machines
CN106296355A (en) System and method of hiring a car preengage by a kind of WEB door based on electricity coupling
CN109703389B (en) Vehicle pile network integrated charging scheduling device and method based on new energy bus
CN109501630A (en) A kind of electric car charging scheme real-time recommendation method and system
CN113085655B (en) Vehicle-mounted electric automobile comprehensive service system
CN108734981A (en) It hires a car system and method in conjunction with the reservation of traffic congestion situation
Cocca et al. Free floating electric car sharing: A data driven approach for system design
CN106203656A (en) Electric automobile timesharing leasing system mobile phone A PP follows the tracks of vehicle electrical metering method
CN108062591A (en) Electric vehicle charging load spatial and temporal distributions Forecasting Methodology
CN106295823A (en) A kind of APP based on user's differentiation preengages system and method for hiring a car
CN104751635A (en) Intelligent parking monitoring system
CN108805322A (en) A kind of charging load spatial and temporal distributions prediction technique of private car
Li et al. Trajectory-driven planning of electric taxi charging stations based on cumulative prospect theory
CN106651177A (en) New energy vehicle leasing cloud management method
CN108734948A (en) System and method of hiring a car is preengage in conjunction with the electricity matching of traffic congestion situation
CN106295826A (en) WEB client side carries out preengaging the method hired a car based on reservation time of chartering mileage
CN106295820A (en) Mobile phone A PP based on reservation time of chartering and mileage and frequency preengages method of hiring a car
CN106339764A (en) Intelligent vehicle reserving method
CN106204940A (en) Preengage method of hiring a car
CN109102092A (en) A kind of reservation based on vehicle performance distribution is hired a car system and method
CN108734314A (en) A kind of reservation of combination traffic congestion situation is hired a car system and method
CN109827588A (en) A kind of processing method and electronic equipment

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20181102

RJ01 Rejection of invention patent application after publication