CN112598477A - System and method for processing travel of network appointment vehicle - Google Patents

System and method for processing travel of network appointment vehicle Download PDF

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CN112598477A
CN112598477A CN202011596856.1A CN202011596856A CN112598477A CN 112598477 A CN112598477 A CN 112598477A CN 202011596856 A CN202011596856 A CN 202011596856A CN 112598477 A CN112598477 A CN 112598477A
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杨志鹏
郑家祥
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Nanjing Leading Technology Co Ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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Abstract

The embodiment of the invention discloses a system and a method for processing a journey of a network appointment vehicle. The system comprises: the system comprises a distributed processing engine Flink real-time computing platform, a liability assessment analysis platform and a customer service processing platform; the Flink real-time computing platform monitors and acquires order schedule data reported by a passenger end and a driver end of the network appointment service in real time; the responsibility judgment analysis platform carries out statistical analysis on order journey data reported by a passenger end and a driver end in the same order journey to obtain a journey responsibility judgment analysis result of the same order journey and stores the result in a warehouse; and when the passenger end or the driver end initiates a travel exception request aiming at the same order travel, the customer service processing platform executes exception processing according to the travel responsibility analysis result of the same order travel. By adopting the scheme, the order travel data reported by the passenger end and the driver end in the travel service is processed in real time, and a detailed travel responsibility analysis result is timely and accurately given before the customer complains at the end of the travel, so that the reasonable judgment of fairness and confidence and serviceability can be given.

Description

System and method for processing travel of network appointment vehicle
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a system and a method for processing a journey of a network appointment vehicle.
Background
With the continuous development of the technology, the number of people using the net appointment car is more and more, the travel order quantity is larger and larger, and the number of the passengers and the times of service is more and more. In order to ensure high-quality travel service of the net appointment car, a passenger or a driver is generally allowed to complain about the travel service. Various travel service problems are generated in the travel service, the situation is more and more complicated, and therefore, more customer service resources are involved to deal with complaints made by passengers or drivers. However, this will definitely increase the cost of customer service resources, and the customer service will give judgment results after receiving the feedback problem of the passenger or driver, and the whole process becomes long and complicated, especially the customer service cannot distinguish whether the complaint of the passenger or driver is true, which will result in low confidence of the complaint handling results.
Disclosure of Invention
The embodiment of the invention provides a journey processing system and method of a network appointment vehicle, which are used for timely and accurately giving out a judgment analysis result before a journey is finished and customer complaints are complained, and complaint processing is carried out.
The embodiment of the invention provides a journey processing system of a network appointment car, which comprises: the system comprises a distributed processing engine Flink real-time computing platform, a liability assessment analysis platform and a customer service processing platform; wherein:
the Flink real-time computing platform is configured to monitor and acquire order schedule data reported by a passenger end and a driver end of the network appointment service in real time;
the responsibility judgment analysis platform is configured to perform statistical analysis on order travel data reported by a passenger end and a driver end in the same order travel to obtain a travel responsibility judgment analysis result of the same order travel and store the result in a warehouse;
and the customer service processing platform is configured to execute the objection processing according to the travel liability analysis result of the same order travel when a passenger end or a driver end initiates a travel objection request aiming at the same order travel.
The embodiment of the invention also provides a travel processing system method for the network appointment, which comprises the following steps:
the distributed processing engine Flink real-time computing platform monitors and acquires order schedule data reported by a passenger end and a driver end of the network appointment service in real time;
the responsibility judgment analysis platform is used for carrying out statistical analysis on order travel data reported by a passenger end and a driver end in the same order travel to obtain a travel responsibility judgment analysis result of the same order travel and storing the result in a warehouse;
and the customer service processing platform executes the objection processing according to the travel liability analysis result of the same order travel when the passenger end or the driver end initiates a travel objection request aiming at the same order travel.
The embodiment of the invention provides a travel processing system of a network appointment car, which is characterized in that a distributed processing engine Flink real-time computing platform, a responsibility analysis platform and a customer service processing platform are deployed in advance, the Flink real-time computing platform can monitor and acquire order travel data reported by a passenger end and a driver end of a network appointment car service in real time, the responsibility analysis platform can statistically analyze order travel data reported by the passenger end and the driver end under the same order travel based on the order travel data acquired by real-time monitoring, and give a travel responsibility analysis result aiming at the same order travel, so that the customer service processing platform can initiate a travel objection request aiming at the same order travel at the passenger end or the driver end and can timely and effectively carry out objection processing. By adopting the scheme of the embodiment, the order travel data reported by the passenger end and the driver end in the travel service is processed in real time, and the detailed travel responsibility analysis result is accurately given in time before the client complains at the end of the travel, so that reasonable judgment with fairness and confidence can be given without long-time communication between the passenger and the customer service, and the confidence level of the complaint processing result is improved.
The above summary of the present invention is merely an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description in order to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.
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Other features, objects and advantages of the invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a block diagram of a route processing system of a network appointment car provided in an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a journey processing system of a network appointment car provided in an embodiment of the present invention;
FIG. 3 is a schematic diagram of the type of order travel characteristic information provided in an embodiment of the present invention;
fig. 4 is a flowchart of a route processing method of a network appointment car provided in the embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings, which show exemplary embodiments of the invention, however, it should be understood that the exemplary embodiments described herein are merely illustrative of the invention and are not limiting thereof. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In addition, it should be noted that, for convenience of description, only a part of structures related to the present invention, not all of the structures, are shown in the drawings.
The following provides a detailed explanation of the travel processing system and method of the network appointment vehicle provided in the embodiments of the present invention, through various embodiments and optional solutions in various embodiments.
Fig. 1 is a block diagram of a travel processing system of a network car booking provided in an embodiment of the present invention, which is applicable to a situation where a dispute responsibility between a passenger and a driver in a network car booking travel service is accurately determined in time. As shown in fig. 1, the journey processing system 100 of the net appointment vehicle provided in the embodiment may include the following: the distributed processing engine Flink real-time computing platform 110, the accountability analysis platform 120 and the customer service processing platform 130. Wherein:
the Flink real-time computing platform 110 is configured to monitor and acquire order travel data reported by a passenger end and a driver end of the network appointment service in real time.
The responsibility judgment analysis platform 120 is configured to perform statistical analysis on the order journey data reported by the passenger end and the driver end of the same order journey, obtain a journey responsibility judgment analysis result of the same order journey, and store the result in a warehouse.
The customer service processing platform 130 is configured to execute an objection processing according to a travel liability analysis result of the same order route when a passenger end or a driver end initiates a travel objection request for the same order route.
In this embodiment, fig. 2 is a schematic structural diagram of a journey processing system of a network appointment car provided in an embodiment of the present invention. Referring to fig. 2, after obtaining the authorization, the Flink real-time computing platform 110 may monitor the travel states of the driver end and the passenger end of each online booking car under the online booking car platform in real time, and obtain the order travel data of each order travel from the driver end and the passenger end of each order travel, so as to be used as a basis for identifying disputes between passengers and drivers in the subsequent online booking car travel service. By adopting the mode, compared with the judgment of the responsibility of dispute between the passenger and the driver in the online car appointment travel service according to the evaluation scoring system or the remark narrative content in the APP, when the complex dispute situation between the passenger and the driver is faced, the passenger or the driver does not need to spend a long time for remarking or the passenger or the driver does not need to be repeated in detail by telephone, the dispute affirmation interest relationship between the passenger and the driver can be well combed and clarified through the order journey data monitored and obtained in real time, and the probability of falsification is lower because the order journey data belongs to real-time monitoring and is obtained in purpose, so the affirmation result obtained by taking the order journey data as the basis has higher reliability.
In an alternative of this embodiment, combinations with each of the alternatives of one or more of the embodiments described above are possible. In the journey processing system 100 of the network car appointment, the Flink real-time computing platform 110 is further configured to issue commands to the passenger end and the driver end under each order journey through the Push service, so that the passenger end and the driver end start reporting of order journey data.
In this embodiment, referring to fig. 2, a Push middleware is deployed between the Flink real-time computing platform 110 and the driver end and the client end of the network taxi appointment service, and can provide a Push service, and the Flink real-time computing platform 110 can issue a command for starting to report the journey status to the passenger end and the driver end under each order journey through the Push service by means of the Push service provided by the Push middleware, so as to actively and timely obtain order journey data indicating the journey status reported by the passenger end and the driver end. In addition, the Flink real-time computing platform 110 can also issue a command for ending the reporting of the journey status to the passenger end and the driver end under each order journey through the Push service, and instruct the passenger end and the driver end to stop reporting the order journey data.
In this embodiment, the order travel data may include: estimating the travel state information of the order travel, the estimated mileage, the estimated departure point and the like; and the actual cost, the actual mileage and the actual trip state information such as the trip of the order. The order schedule data may further include: the travel state information such as the charging starting time and the charging ending time of the order travel; and passenger evaluation information in the order travel and travel state information such as audio data between the passenger and the driver. The Flink real-time computing platform 110 may cache the travel state information related to the order travel data reported by the driver and the passenger through the message queue.
In this embodiment, referring to fig. 1 and fig. 2, the Flink real-time computing platform 110 may transmit the obtained order-travel data reported by the passenger end and the driver end of the network appointment vehicle service to the responsibility analysis platform 120, so that the multidimensional order-travel data generated under each order travel is actively subjected to statistical analysis in real time without the operation of the responsibility analysis platform 120 by the passenger, and a travel responsibility analysis result of each order travel is obtained in a short time, so that a detailed responsibility analysis result is timely and accurately given before the passenger complaint is finished. By adopting the mode, for dispute problems between passengers and drivers generated in the travel service, if the passengers complain about the travel after the travel service is finished, the judgment and analysis result of the travel can be quickly fed back to the passengers within a short time, so that the calling rate of the passengers to service calls is reduced, and the labor cost is reduced; meanwhile, the situation of disputes and the situation that the driver and the passenger cannot completely describe the details due to long feedback time can be avoided, and further the customer service cannot completely understand and reasonably judge the disputes and the passengers.
In an alternative of this embodiment, combinations with each of the alternatives of one or more of the embodiments described above are possible. In the journey processing system 100 of the online booking vehicle, the Flink real-time computing platform 110 is further configured to persist a journey track and a journey state generated by reporting order journey data on a passenger side and a driver side to the Hbase database.
In this embodiment, referring to fig. 1 and fig. 2, the Flink real-time computing platform 110 can persist a travel track and a travel state generated by reporting order travel data by a passenger end and a driver end under different order travels into the Hbase database, and wait for the responsibility analysis platform 120 to directly pull the persistently stored order travel data under each order travel from the data, so as to avoid losing actual dispute conditions and details between the driver and the passenger in the travel due to too long time, and facilitate reproducing complete dispute content between the driver and the passenger during responsibility analysis, thereby enabling subsequent complete understanding and giving reasonable judgment.
In an alternative of this embodiment, combinations with each of the alternatives of one or more of the embodiments described above are possible. In the route processing system 100 of the network appointment vehicle, the responsibility analysis platform 120 is specifically configured to extract order route characteristic information from order route data reported by a passenger end and a driver end of the same order route; and carrying out accountability statistical analysis on the same order journey from at least one accountability analysis dimension according to the order journey characteristic information to obtain a journey accountability analysis result of the same order journey.
In this embodiment, fig. 3 is a schematic diagram of types of order travel characteristic information provided in an embodiment of the present invention. Referring to FIG. 3, the order travel characteristic information may include, but is not limited to, the following: basic characteristic information of drivers and passengers, characteristic information of passengers getting on or off the bus, characteristic information of work orders placed on order trips and characteristic of driver navigation tracks. Wherein, the basic characteristic information of the driver and the passenger can be the characteristic information related to age, sex, identity, driver's driving age and the like; the passenger getting-on and getting-off characteristic information can be characteristics such as addresses of passengers getting on and off the bus in an order stroke, road conditions, and passenger getting-on and getting-off time; the work order characteristic information under the order journey can be used for carrying the contents related to the order information, such as the number of people, weather, a navigation selected route, cost and the like; the driver navigation track feature can be used for navigating an actual running route in an order journey.
In this embodiment, optionally, in the journey processing system 100 of the network appointment car, the at least one disclaimer analysis dimension may include, but is not limited to, the following: whether to charge an additional fee, whether the trip time is accurate, whether the driver's trip trajectory is reasonable, whether the driver refuses the trip order, the driver's service attitude, and the driver's environmental comfort level in the vehicle are detailed in table 1.
TABLE 1 disclaimer analysis of disputes between drivers and passengers dimensional types
Figure BDA0002866648520000071
In this embodiment, referring to fig. 1 and fig. 2, if there is a dispute between the passenger and the driver, after the journey service is finished, the passenger usually sends a journey dissimilarity request to the network appointment platform for the order journey with the dispute, and at this time, the customer service processing platform 130 intervenes to process the dispute between the passenger and the driver, and performs responsibility determination on the dispute. Because the responsibility analysis platform 120 can store the travel responsibility analysis result of each order travel in a warehouse, when the customer service processing platform 130 intervenes, the responsibility analysis result of the order travel with disputes can be directly pulled from the database in real time, the time-space data in the whole responsibility process and the travel can be visually observed through the responsibility analysis result, the customer service is rapidly assisted to make an accurate responsibility result, and the problem that the disagreement processing lacks justice and credibility due to the understanding problem caused by the intervention of the customer service is avoided.
In this embodiment, the travel responsibility analysis result may optionally include a travel responsibility judgment record, a travel responsibility judgment service track record, and a travel responsibility judgment service vehicle-internal record. The journey accountability judgment record comprises an accountability dispute type, an accountability analysis process, a recommendation result and a confirmation judgment result; the trip accountability service trajectory record may include, but is not limited to, the following: basic information of the vehicle, basic information of a trip state checkpoint, driver information (such as basic information, evaluation information, historical accountability records and details and the like), passenger information (such as basic information, evaluation information, historical accountability records and details and the like) and a track map of a driver and a passenger in a trip; the travel responsibility determination service vehicle interior record can comprise: voice recording, video recording, vehicle state recording, time and times of intelligently recognizing suspected sensitive keywords after voice hit, and inquiring keywords, and time and times of intelligently recognizing suspected illegal behaviors of hit videos.
According to the travel processing system of the network car appointment, the order travel data reported by the passenger side and the driver side in the travel service are processed in real time, and the whole travel data are stored in a warehouse for storage, so that the contents of historical detailed rules are convenient to inquire. And the data content is analyzed for accountability, and after the journey is finished, the accountability is analyzed for the journey and recorded for storage, so that a detailed journey accountability analysis result is timely and accurately given before the client complains at the end of the journey, and reasonable judgment with fairness and credibility can be given without long-time communication between the client and the client, and the credibility of the complaint processing result is improved. The real-time, credible and intelligent responsibility judgment results are displayed more intuitively by acquiring the multidimensional data and the perfect responsibility judgment rules, and when disputes occur in the traditional network car booking travel service as far as possible, a single data evaluation source, a complicated and time-consuming responsibility judgment process are realized, so that the responsibility judgment credit degree and the responsibility judgment timeliness are improved.
Fig. 4 is a flowchart of a method for processing a trip of a network car booking provided in the embodiment of the present invention, which is applicable to a situation where responsibility for dispute between a passenger and a driver in a network car booking travel service is accurately determined in time. As shown in fig. 4, the method for processing a route of a network appointment provided in this embodiment may include the following steps:
and S410, monitoring and acquiring order travel data reported by a passenger end and a driver end of the network appointment service in real time by using a distributed processing engine Flink real-time computing platform.
On the basis of the foregoing embodiment, optionally, the method further includes:
and the Flink real-time computing platform issues commands to a passenger end and a driver end under each order journey through a Push service so that the passenger end and the driver end start to report order journey data.
On the basis of the foregoing embodiment, optionally, the method further includes:
and the Flink real-time computing platform enables a travel track and a travel state generated by reporting order travel data by a passenger side and a driver side to be persistent to an Hbase database.
On the basis of the foregoing embodiment, optionally, the order trip characteristic information includes the following contents: basic characteristic information of drivers and passengers, characteristic information of passengers getting on or off the bus, characteristic information of work orders placed on order trips and characteristic of driver navigation tracks.
On the basis of the foregoing embodiment, optionally, the at least one disclaimer analysis dimension includes: whether to charge an additional fee, whether the travel billing time is accurate, whether the driver's travel trajectory is reasonable, whether the driver refuses to take the travel order, the driver's service attitude, and the driver's in-vehicle environmental comfort.
On the basis of the foregoing embodiment, optionally, the travel responsibility analysis result includes a travel responsibility judgment record, a travel responsibility judgment service track record, and a travel responsibility judgment service vehicle-internal record.
And S420, performing statistical analysis on the order travel data reported by the passenger end and the driver end of the same order travel by using a responsibility judgment analysis platform to obtain a travel responsibility judgment analysis result of the same order travel, and storing the result in a warehouse.
On the basis of the above embodiment, optionally, statistical analysis is performed on the order travel data reported by the passenger side and the driver side of the same order travel to obtain a travel liability assessment analysis result of the same order travel, including:
order journey characteristic information is extracted from order journey data reported by a passenger end and a driver end in the same order journey; and carrying out accountability statistical analysis on the same order journey from at least one accountability analysis dimension according to the order journey characteristic information to obtain a journey accountability analysis result of the same order journey.
And S430, the customer service processing platform executes the objection processing according to the travel liability analysis result of the same order travel when the passenger end or the driver end initiates a travel objection request aiming at the same order travel.
The travel processing method of the network appointment vehicle provided in the embodiment of the present invention may be executed by the travel processing system of the network appointment vehicle provided in any embodiment of the present invention, and corresponding functions and advantageous effects of the travel processing system of the network appointment vehicle for executing the travel processing method of the network appointment vehicle are provided.
It should be noted that, in the embodiment of the system, the included structures are merely divided according to the functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional structures are only used for distinguishing one from another, and are not used for limiting the protection scope of the invention. In addition, the foregoing is only the preferred embodiment of the present invention and the technical principles applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (14)

1. A journey processing system for a net appointment vehicle, comprising: the system comprises a distributed processing engine Flink real-time computing platform, a liability assessment analysis platform and a customer service processing platform; wherein:
the Flink real-time computing platform is configured to monitor and acquire order schedule data reported by a passenger end and a driver end of the network appointment service in real time;
the responsibility judgment analysis platform is configured to perform statistical analysis on order travel data reported by a passenger end and a driver end in the same order travel to obtain a travel responsibility judgment analysis result of the same order travel and store the result in a warehouse;
and the customer service processing platform is configured to execute the objection processing according to the travel liability analysis result of the same order travel when a passenger end or a driver end initiates a travel objection request aiming at the same order travel.
2. The system according to claim 1, wherein the Flink real-time computing platform is further configured to issue commands to the passenger end and the driver end under each order trip through the Push service, so that the passenger end and the driver end start reporting the order trip data.
3. The system of claim 1, wherein the Flink real-time computing platform is further configured to persist a trip trajectory and a trip status generated by the passenger-side and driver-side reporting of order trip data to the Hbase database.
4. The system according to claim 1, wherein the accountability analysis platform is specifically configured to extract order travel characteristic information from order travel data reported by a passenger end and a driver end of the same order travel; and carrying out accountability statistical analysis on the same order journey from at least one accountability analysis dimension according to the order journey characteristic information to obtain a journey accountability analysis result of the same order journey.
5. The system of claim 4, wherein the order travel characteristic information comprises the following: basic characteristic information of drivers and passengers, characteristic information of passengers getting on or off the bus, characteristic information of work orders placed on order trips and characteristic of driver navigation tracks.
6. The system of claim 4, wherein the at least one disclaimer analysis dimension comprises: whether to charge an additional fee, whether the travel billing time is accurate, whether the driver's travel trajectory is reasonable, whether the driver refuses to take the travel order, the driver's service attitude, and the driver's in-vehicle environmental comfort.
7. The system of claim 1, wherein the trip accountability analysis result comprises a trip accountability record, a trip accountability service track record and a trip accountability service in-vehicle record.
8. A method for processing a route of a network appointment vehicle, the method comprising:
the distributed processing engine Flink real-time computing platform monitors and acquires order schedule data reported by a passenger end and a driver end of the network appointment service in real time;
the responsibility judgment analysis platform is used for carrying out statistical analysis on order travel data reported by a passenger end and a driver end in the same order travel to obtain a travel responsibility judgment analysis result of the same order travel and storing the result in a warehouse;
and the customer service processing platform executes the objection processing according to the travel liability analysis result of the same order travel when the passenger end or the driver end initiates a travel objection request aiming at the same order travel.
9. The method of claim 8, further comprising:
and the Flink real-time computing platform issues commands to a passenger end and a driver end under each order journey through a Push service so that the passenger end and the driver end start to report order journey data.
10. The method of claim 8, further comprising:
and the Flink real-time computing platform enables a travel track and a travel state generated by reporting order travel data by a passenger side and a driver side to be persistent to an Hbase database.
11. The method according to claim 8, wherein the statistical analysis of the order itinerary data reported by the passenger side and the driver side of the same order itinerary to obtain the itinerary liability assessment analysis result of the same order itinerary comprises:
order journey characteristic information is extracted from order journey data reported by a passenger end and a driver end in the same order journey; and carrying out accountability statistical analysis on the same order journey from at least one accountability analysis dimension according to the order journey characteristic information to obtain a journey accountability analysis result of the same order journey.
12. The method of claim 11, wherein the order travel characteristic information comprises the following: basic characteristic information of drivers and passengers, characteristic information of passengers getting on or off the bus, characteristic information of work orders placed on order trips and characteristic of driver navigation tracks.
13. The method of claim 11, wherein the at least one disclaimer analysis dimension comprises: whether to charge an additional fee, whether the travel billing time is accurate, whether the driver's travel trajectory is reasonable, whether the driver refuses to take the travel order, the driver's service attitude, and the driver's in-vehicle environmental comfort.
14. The method of claim 8, wherein the trip accountability analysis result comprises a trip accountability record, a trip accountability service track record and a trip accountability service in-vehicle record.
CN202011596856.1A 2020-12-28 2020-12-28 System and method for processing travel of network appointment vehicle Withdrawn CN112598477A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113408953A (en) * 2021-07-16 2021-09-17 首约科技(北京)有限公司 On-line inspection method
CN113470696A (en) * 2021-07-01 2021-10-01 首约科技(北京)有限公司 Method for solving driver and passenger safety and improving service quality through real-time audio stream analysis

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113470696A (en) * 2021-07-01 2021-10-01 首约科技(北京)有限公司 Method for solving driver and passenger safety and improving service quality through real-time audio stream analysis
CN113408953A (en) * 2021-07-16 2021-09-17 首约科技(北京)有限公司 On-line inspection method

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