CN114065983A - Passenger safety guarantee method according to real-time coordinate points of driver - Google Patents

Passenger safety guarantee method according to real-time coordinate points of driver Download PDF

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CN114065983A
CN114065983A CN202111384821.6A CN202111384821A CN114065983A CN 114065983 A CN114065983 A CN 114065983A CN 202111384821 A CN202111384821 A CN 202111384821A CN 114065983 A CN114065983 A CN 114065983A
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order
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赵雨
郑晕
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Shouyue Technology Beijing Co Ltd
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Abstract

The invention provides a passenger safety guarantee method according to a real-time coordinate point of a driver, which comprises the following steps: ordering by a user at an entrance of the network appointment platform to obtain ordering information; the platform agent layer assembles the order placing information request order system; the platform agent layer receives the order number returned by the order system, assembles an order information request order and obtains order request information; the dispatching system screens drivers according to the dispatching request information and determines service drivers; the service driver and the network car booking platform center are kept linked, and safety of passengers is guaranteed. In order to guarantee that the position and the coordinates of a driver are obtained in real time in the driving process of the network appointment car, the abnormal stop time of the driver in a certain place is analyzed by monitoring coordinate data, if the abnormal stop time exceeds a threshold value, a safety strategy is actively triggered, the safety of passengers can be better guaranteed, the car using experience of the passengers is improved through an implementation scheme, the safety of the passengers during taking the car is improved, and the safety center of the passengers is further improved.

Description

Passenger safety guarantee method according to real-time coordinate points of driver
Technical Field
The invention relates to the field of network appointment, in particular to a passenger safety guarantee method according to a real-time coordinate point of a driver.
Background
Under the background of existing travel, taking a net car booking and traveling become one of more and more people, in the process of taking a car, it is very important that the order needs to be monitored to guarantee the safety of drivers and passengers, and the current net car booking platform has the following main modes to guarantee the safety of passengers in the process of traveling, including: the passenger APP terminal has journey sharing and can share the journey to the emergency contact; APP starting travel recording by a driver and a passenger, and storing voice communication in the vehicle; passenger end APP one-key alarming function can give an alarm by one key when the passenger feels dangerous.
The security guarantee mode in the prior art is mainly initiated by passengers, so the following defects can exist: the order is not well monitored in the driving process, the passenger needs to operate the order on the app, and when the user is inconvenient to operate, the safety of the passenger cannot be well protected; the network car booking platform cannot actively guarantee the safety of passengers according to the riding and driving positioning in real time.
Disclosure of Invention
In view of the above problems, the present invention has been made to provide a passenger safety guaranteeing method based on a driver real-time coordinate point, which overcomes or at least partially solves the above problems.
According to one aspect of the present invention, there is provided a passenger safety guaranteeing method according to a driver real-time coordinate point, the guaranteeing method including:
ordering by a user at an entrance of the network appointment platform to obtain ordering information;
the platform agent layer assembles the order placing information request order system;
the platform agent layer receives the order number returned by the order system, assembles an order information request order and obtains order request information;
the dispatching system screens drivers according to the dispatching request information and determines service drivers;
the service driver and the network car booking platform center are kept linked, and safety of passengers is guaranteed.
Optionally, the order placing information specifically includes: the network booking platform orders, cities, longitude and latitude of getting on and off vehicles, booking vehicle using time and basic information of passengers.
Optionally, the service driver and the network car booking platform center keep linking, and the guarantee passenger safety specifically includes:
the service driver end keeps a link with the network appointment platform center, and a driver coordinate point is reported every 10 seconds and sent to a position-based service map system;
the location-based service map system receives the order coordinate point;
calculating the distance difference between the current coordinate point and the last coordinate point according to the order coordinate point;
and determining the order state according to the distance difference.
Optionally, after calculating the distance difference between the current coordinate point and the last coordinate point according to the order coordinate point, the method further includes:
judging whether the distance difference is larger than 10 meters;
if the length of the accumulated abnormal stay time is more than 10 meters, the driver is in driving, and the order normally moves, and the accumulated abnormal stay time is eliminated;
if the distance is less than 10 meters, the driver is positioned and stays at the place, the time difference uploaded by the 2 times of coordinate points is accumulated, and the two times are time1 and time2 which are the time length of the time respectively; the time length is equal to the frequency reported by the driver end;
every time the time length is set, adding the previous accumulated time length to the current time
time=time1+time2;
And storing the accumulated time length of the abnormal stay in an abnormal order table.
Optionally, the service driver and the network car booking platform center keep linking, and the guarantee of passenger safety further includes:
reporting the coordinate points of the driver every 10 seconds, and calculating the distance difference of the coordinate points;
when the distance difference exceeds 10 meters, accumulating time, and judging whether the accumulated staying time of the position corresponding to the driver coordinate point exceeds 5 minutes;
if the time exceeds 5 minutes, triggering a platform abnormal order stopping threshold value, requesting an order system, and marking the abnormal order as an abnormal stopping order; otherwise, the stay time is continuously accumulated.
Optionally, the triggering of the platform abnormal order stopping threshold value specifically includes:
the order system receives a request of an abnormal stay order based on the position service map system;
the order system initiates pushing to a passenger end to inquire the passenger whether the retention time of the abnormal order is too long and normal or not;
the customer service system receives the abnormal stay order request, and customer service personnel check an abnormal stay order list, check the in-vehicle audio and video recording and judge whether the order is abnormal or not;
if the checking order is obviously abnormal, directly alarming; if no obvious abnormality exists in the checked order, the passenger is actively called to inquire whether the riding is safe or not, and the riding experience of the passenger is improved.
Optionally, the order system initiates pushing to a passenger end to inquire about the passenger, where the step of determining whether the abnormal order stays too long normally specifically includes:
if the passenger selects normal, the passenger marks the order as a normal order again when meeting the traffic condition;
if the passenger selects abnormal, the passenger requests the customer service platform and writes in abnormal staying order data;
and if no selection is made for more than 2 times, requesting the customer service platform to automatically write the abnormal stay order data.
The invention provides a passenger safety guarantee method according to a real-time coordinate point of a driver, which comprises the following steps: ordering by a user at an entrance of the network appointment platform to obtain ordering information; the platform agent layer assembles the order placing information request order system; the platform agent layer receives the order number returned by the order system, assembles an order information request order and obtains order request information; the dispatching system screens drivers according to the dispatching request information and determines service drivers; the service driver and the network car booking platform center are kept linked, and safety of passengers is guaranteed. In order to guarantee that the position and the coordinates of a driver are obtained in real time in the driving process of the network appointment car, the abnormal stop time of the driver in a certain place is analyzed by monitoring coordinate data, if the abnormal stop time exceeds a threshold value, a safety strategy is actively triggered, the safety of passengers can be better guaranteed, the car using experience of the passengers is improved through an implementation scheme, the safety of the passengers during taking the car is improved, and the safety center of the passengers is further improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a first flowchart of real-time driver coordinate monitoring according to an embodiment of the present invention;
fig. 2 is a second flowchart of real-time driver coordinate monitoring according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terms "comprises" and "comprising," and any variations thereof, in the present description and claims and drawings are intended to cover a non-exclusive inclusion, such as a list of steps or elements.
The technical solution of the present invention is further described in detail with reference to the accompanying drawings and embodiments.
As shown in fig. 1, the basic information of the database is: a database: 1 is provided with
Order form table: order; table structure: some fields are enumerated.
Rule for order number prefix (BX | PX) + yMMddHHmmss (12 bits) + three bits after machine IP + auto-increment sequence (4 bits) case: BX 2109081758561620001.
Customer service System introduction: basic information of the database: a database: 1, abnormal stay order table: the absolute _ state _ order.
Table structure: enumerating partial fields
Figure BDA0003366710890000051
Figure BDA0003366710890000052
Order redis client component: jedis; calculate coordinate point distance component: geodesic redis stores: the current coordinate point of the driver is stored by redis; the order number and driver id are used as keys.
As shown in fig. 1, the network car booking platform entry user orders, and the platform agent layer assembles an order information request order system, including: the network appointment platform order number, city, longitude and latitude of getting on and off, appointed time of using vehicle, basic information of passengers and the like, and comprises all order public information
The order system successfully places the order and returns the order number to the platform agent layer;
the platform agent layer receives order numbers returned by the order system, assembles the order information request order
The dispatching system receives the dispatching request and begins to screen the drivers
The driver successfully robs the order and starts the service
The driver end and the platform message center keep socket long link, and the driver coordinate point is reported to the LBS map system every 10 seconds
The LBS map system receives the order coordinate points, and the parameters comprise: order number, longitude, latitude, driver ID;
example data: orderNo ═ BX2109081758561620001lat1 ═ 116.44195, lng ═ 39.914505; latest reporting point: lat1 ═ 116.44195, lng ═ 40.914505;
requesting Redis to check whether the latest coordinate point of the order exists in Redis; if not, writing data; if the current coordinate point exists, the current coordinate point is compared with the latest reported longitude and latitude, the calculation method calls a method in geodety, the latest reported point is transmitted, and the last coordinate point in redis is used for calculating the distance.
Calculating the distance difference between the current coordinate point and the last coordinate point, and judging whether the distance difference is greater than 10 meters; if the length of the accumulated abnormal stay time is more than 10 meters, the driver is in driving, and the order normally moves, and the accumulated abnormal stay time is eliminated; if the distance is less than 10 meters, the driver is positioned motionless and stays at the place, and the time difference uploaded by the 2 coordinate points is accumulated.
time1=jedis.get("abnormalTime_"orderNo);
time2 is the time length of this time; the time length of this time is equal to the frequency reported by the driver end, and the reported frequency is 10 seconds.
Every time the time length is set, adding the previous accumulated time length to the current time
time1+ time 2. Updating redis; and storing the accumulated time length of the abnormal stay into the redis. A driver real-time monitoring flow chart step two:
reporting the coordinate point of the driver once every 10 seconds, calculating the distance difference of the coordinate points once, accumulating the time length if the distance difference exceeds 10 meters, judging whether the accumulated time length of the place exceeds 5 minutes, and obtaining the accumulated time length.
If the time exceeds 5 minutes, the abnormal order stopping threshold value of the platform is triggered, an order system is requested, and the order is marked as an abnormal stopping order; if the time does not exceed 5 minutes, the threshold is not triggered and the accumulated dwell time continues.
The order system receives a request of an abnormal stay order based on the location service map system, initiates pushing to the passenger end, inquires about the passenger, does the order stay too long and is normal? Abnormal stay data table: the absolute _ state _ order.
If the passenger selects normal, the passenger possibly meets the conditions of traffic lights and the like, and marks the order as a normal order again;
if the passenger selects abnormal, the passenger requests the customer service platform and writes in abnormal staying order data;
and if no selection is made for more than 2 times, requesting the customer service platform to automatically write the abnormal stay order data.
The customer service system receives the abnormal stay order request, and customer service personnel check an abnormal stay order list, check the in-vehicle audio and video recording and judge whether the order is abnormal or not; if the checking order is obviously abnormal, directly alarming; if no obvious abnormality exists in the checked order, the passenger is actively called to inquire whether the riding is safe or not, and the riding experience of the passenger is improved.
Has the advantages that: the method comprises the steps that a positioning coordinate point of a driver is monitored and reported to calculate in real time, the time that the driver stays abnormally at a certain place is informed to a customer service when the time exceeds a threshold value, and platform customer service personnel check travel recording, video recording and the like, so that the riding safety of passengers can be guaranteed when a user is inconvenient or cannot operate; the invention also perfects the monitoring and alarming of the platform to the order, perfects the safety center of the passenger through the analysis of real-time data, and gives the passenger better experience and safety.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (7)

1. A passenger safety guarantee method according to a real-time coordinate point of a driver is characterized by comprising the following steps:
ordering by a user at an entrance of the network appointment platform to obtain ordering information;
the platform agent layer assembles the order placing information request order system;
the platform agent layer receives the order number returned by the order system, assembles an order information request order and obtains order request information;
the dispatching system screens drivers according to the dispatching request information and determines service drivers;
the service driver and the network car booking platform center are kept linked, and safety of passengers is guaranteed.
2. The passenger safety guarantee method according to the real-time coordinate point of the driver as claimed in claim 1, wherein the ordering information specifically comprises: the network booking platform orders, cities, longitude and latitude of getting on and off vehicles, booking vehicle using time and basic information of passengers.
3. The passenger safety guarantee method according to the real-time coordinate point of the driver as claimed in claim 1, wherein the service driver is linked with the center of the network appointment platform, and the passenger safety guarantee specifically comprises:
the service driver end keeps a link with the network appointment platform center, and a driver coordinate point is reported every 10 seconds and sent to a position-based service map system;
the location-based service map system receives the order coordinate point;
calculating the distance difference between the current coordinate point and the last coordinate point according to the order coordinate point;
and determining the order state according to the distance difference.
4. The method of claim 3, wherein calculating the distance between the current coordinate point and the last coordinate point according to the order coordinate point further comprises:
judging whether the distance difference is larger than 10 meters;
if the length of the accumulated abnormal stay time is more than 10 meters, the driver is in driving, and the order normally moves, and the accumulated abnormal stay time is eliminated;
if the distance is less than 10 meters, the driver is positioned and stays at the place, the time difference uploaded by the 2 times of coordinate points is accumulated, and the two times are time1 and time2 which are the time length of the time respectively; the time length is equal to the frequency reported by the driver end;
setting the time length each time, and setting the previous accumulated time length and the current addition time to be 1+ 2;
and storing the accumulated time length of the abnormal stay in an abnormal order table.
5. The passenger safety guarantee method according to the real-time coordinate point of the driver as claimed in claim 1, wherein the service driver is linked with the network appointment platform center, and the passenger safety guarantee further comprises:
reporting the coordinate points of the driver every 10 seconds, and calculating the distance difference of the coordinate points;
when the distance difference exceeds 10 meters, accumulating time, and judging whether the accumulated staying time of the position corresponding to the driver coordinate point exceeds 5 minutes;
if the time exceeds 5 minutes, triggering a platform abnormal order stopping threshold value, requesting an order system, and marking the abnormal order as an abnormal stopping order; otherwise, the stay time is continuously accumulated.
6. The passenger safety guarantee method according to the real-time coordinate point of the driver as claimed in claim 4, wherein the triggering of the platform abnormal order stay threshold requests the order system to specifically include:
the order system receives a request of an abnormal stay order based on the position service map system;
the order system initiates pushing to a passenger end to inquire the passenger whether the retention time of the abnormal order is too long and normal or not;
the customer service system receives the abnormal stay order request, and customer service personnel check an abnormal stay order list, check the in-vehicle audio and video recording and judge whether the order is abnormal or not;
if the checking order is obviously abnormal, directly alarming; if no obvious abnormality exists in the checked order, the passenger is actively called to inquire whether the riding is safe or not, and the riding experience of the passenger is improved.
7. The passenger safety guarantee method according to the real-time driver coordinate point of claim 6, wherein the order system initiates pushing to a passenger terminal to ask passengers, and the step of inquiring whether the abnormal order stays too long normally comprises the following specific steps:
if the passenger selects normal, the passenger marks the order as a normal order again when meeting the traffic condition;
if the passenger selects abnormal, the passenger requests the customer service platform and writes in abnormal staying order data;
and if no selection is made for more than 2 times, requesting the customer service platform to automatically write the abnormal stay order data.
CN202111384821.6A 2021-11-22 2021-11-22 Passenger safety guarantee method according to real-time coordinate points of driver Pending CN114065983A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114581077A (en) * 2022-03-21 2022-06-03 首约科技(北京)有限公司 Method for automatically judging detour of driver
CN114841777A (en) * 2022-05-18 2022-08-02 山东华盛智慧网络科技有限公司 Intelligent taxi-taking platform price comparison system based on information interaction

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108694452A (en) * 2017-04-06 2018-10-23 北京嘀嘀无限科技发展有限公司 Vehicle-mounted order method and device, server, onboard system, vehicle
CN109089238A (en) * 2018-09-21 2018-12-25 珠海格力电器股份有限公司 Riding safety judgment method and system and mobile phone
CN110751586A (en) * 2019-02-21 2020-02-04 北京嘀嘀无限科技发展有限公司 Order travel abnormity identification method and system
CN111860561A (en) * 2019-12-31 2020-10-30 北京嘀嘀无限科技发展有限公司 Recognition method, device, equipment and storage medium for abnormal stop behavior of online car-hailing
CN112622921A (en) * 2020-09-29 2021-04-09 广州宸祺出行科技有限公司 Method and device for detecting abnormal driving behavior of driver and electronic equipment
CN112686415A (en) * 2020-12-29 2021-04-20 南京领行科技股份有限公司 Method and device for monitoring network taxi appointment behaviors

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108694452A (en) * 2017-04-06 2018-10-23 北京嘀嘀无限科技发展有限公司 Vehicle-mounted order method and device, server, onboard system, vehicle
CN109089238A (en) * 2018-09-21 2018-12-25 珠海格力电器股份有限公司 Riding safety judgment method and system and mobile phone
CN110751586A (en) * 2019-02-21 2020-02-04 北京嘀嘀无限科技发展有限公司 Order travel abnormity identification method and system
CN111860561A (en) * 2019-12-31 2020-10-30 北京嘀嘀无限科技发展有限公司 Recognition method, device, equipment and storage medium for abnormal stop behavior of online car-hailing
CN112622921A (en) * 2020-09-29 2021-04-09 广州宸祺出行科技有限公司 Method and device for detecting abnormal driving behavior of driver and electronic equipment
CN112686415A (en) * 2020-12-29 2021-04-20 南京领行科技股份有限公司 Method and device for monitoring network taxi appointment behaviors

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114581077A (en) * 2022-03-21 2022-06-03 首约科技(北京)有限公司 Method for automatically judging detour of driver
CN114841777A (en) * 2022-05-18 2022-08-02 山东华盛智慧网络科技有限公司 Intelligent taxi-taking platform price comparison system based on information interaction

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