CN111144594B - Departure time determining method, device and equipment - Google Patents

Departure time determining method, device and equipment Download PDF

Info

Publication number
CN111144594B
CN111144594B CN201911168932.6A CN201911168932A CN111144594B CN 111144594 B CN111144594 B CN 111144594B CN 201911168932 A CN201911168932 A CN 201911168932A CN 111144594 B CN111144594 B CN 111144594B
Authority
CN
China
Prior art keywords
airport
time
user
information
flight
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911168932.6A
Other languages
Chinese (zh)
Other versions
CN111144594A (en
Inventor
吕飞飞
贾雪威
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.)
Volkswagen Mobvoi Beijing Information Technology Co Ltd
Original Assignee
Volkswagen Mobvoi Beijing Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Volkswagen Mobvoi Beijing Information Technology Co Ltd filed Critical Volkswagen Mobvoi Beijing Information Technology Co Ltd
Priority to CN201911168932.6A priority Critical patent/CN111144594B/en
Publication of CN111144594A publication Critical patent/CN111144594A/en
Application granted granted Critical
Publication of CN111144594B publication Critical patent/CN111144594B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/02—Reservations, e.g. for tickets, services or events
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q50/40—
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing

Abstract

The invention provides a departure time determining method, a device and equipment, wherein the method comprises the following steps: determining delay time according to scene parameters of an airport; calculating the departure time of the user according to the delay time and the suggested arrival airport time; the scene parameters of the airport have association relation with the situations of traffic jam, airport flow control and the like, namely, the moment of departure is planned by using the scheme, the influence of factors such as traffic jam, airport flow control and the like is considered, and the planning accuracy is improved.

Description

Departure time determining method, device and equipment
Technical Field
The present invention relates to the field of intelligent services, and in particular, to a method, an apparatus, and a device for determining a departure time.
Background
In some cases, the user needs to go to an airport to get on or off, in which case the user needs to plan the departure time reasonably. Existing planning schemes generally include: the user manually inquires the arrival time or departure time of the related flight, calculates the time spent on the journey according to the distance between the current position of the user and the airport, and determines the departure time of the user according to the arrival time or departure time of the flight and the time spent on the journey.
However, with this planning scheme, factors such as traffic congestion, airport flow control, etc., may cause delays in user access or delivery. It can be seen that the accuracy of the above-described planning scheme is poor.
Disclosure of Invention
In view of the above, the present invention aims to provide a departure time determining method, apparatus and device, so as to improve planning accuracy.
Based on the above object, the embodiment of the present invention provides a departure time determining method, including:
determining flights subscribed by a user;
determining the suggested arrival airport time corresponding to the flight;
determining delay time according to scene parameters of an airport;
and calculating the departure time according to the suggested arrival airport time and the delay time.
Optionally, the determining the suggested arrival airport time corresponding to the flight includes:
acquiring flight prompt information issued by an airport;
and determining the suggested arrival airport time corresponding to the flight according to the flight prompt information.
Optionally, the determining the flight subscribed by the user includes:
acquiring event information subscribed by a user, wherein the event information comprises date, event type and flight information, and the event type is a connection event or a transmission event;
Determining flights subscribed by the user according to the flight information included in the event information;
the determining the suggested arrival airport time corresponding to the flight comprises the following steps:
if the event type included in the event information is a machine sending event, inquiring security check information of the date; determining a reserved waiting time length based on the security check information; and calculating the suggested arrival airport time according to the departure time of the flight and the reserved waiting time.
Optionally, the scene parameters of the airport include any one or more of the following: the terminal building identification corresponding to the flight, the suggested arrival airport time, throughput information of the airport and the order quantity associated with the airport; the order quantity is the order quantity of event information of the user subscription pick-up machine;
the determining the delay time according to the scene parameters of the airport comprises the following steps:
inputting the scene parameters into a pre-established delay model to obtain delay time length output by the delay model, wherein the delay model is obtained by training according to historical scene parameters and the corresponding historical delay time length.
Optionally, if the scene parameter includes throughput information of an airport, the method further includes: calculating the sum of the number of flights arriving at the airport and the number of flights departing from the airport in the time period of the proposed arrival airport as a first numerical value; calculating the ratio of the first value to the number of the airports as throughput information of the airports;
If the scene parameters include a number of orders associated with an airport, the method further comprises: determining, in orders associated with the airport, a number of orders having a time interval less than a preset duration from a time of the proposed arrival at the airport;
if the scene parameter of the airport includes a terminal identifier corresponding to the flight, the method further includes: and determining the terminal building identification corresponding to the flight according to the flight information and the event type included in the event information.
Optionally, the calculating the departure time according to the suggested arrival airport time and the delay time includes:
predicting the time consumption of a user to arrive at the airport from the current location;
and calculating departure time according to the time consumption, the delay time and the suggested arrival airport time.
Optionally, the predicting the time taken for the user to reach the airport from the current location includes:
if the vehicle-mounted equipment used by the user is in a starting state, determining the current position of the vehicle-mounted equipment, and predicting the time consumption of reaching the airport from the current position;
and if the vehicle-mounted equipment used by the user is in an unactuated state, determining the position of the vehicle-mounted equipment which is recorded recently, and predicting the time consumption of reaching the airport from the position of the user as the position of the user.
Optionally, after calculating the departure time according to the suggested arrival airport time and the delay time, the method further includes:
and before reaching the departure time, sending reminding information to the user.
Optionally, before reaching the departure time, sending a reminder to the user, including:
if the vehicle-mounted equipment used by the user is in a starting state, reminding information is sent through the vehicle-mounted equipment;
and if the vehicle-mounted equipment used by the user is in an unactuated state, sending reminding information through the terminal equipment used by the user.
Optionally, before reaching the departure time, sending a reminder to the user, including:
judging whether the difference value between the current time and the departure time reaches a preset time threshold value or not;
and if the departure time arrives, sending reminding information to the user, wherein the reminding information comprises the departure time.
Based on the above object, the embodiment of the present invention further provides a departure time determining apparatus, including:
the first determining module is used for determining flights subscribed by the user;
a second determining module, configured to determine a proposed arrival airport time corresponding to the flight;
the third determining module is used for determining delay time according to scene parameters of the airport;
And the calculating module is used for calculating the departure time according to the suggested arrival airport time and the delay time.
Optionally, the second determining module is specifically configured to:
acquiring flight prompt information issued by an airport;
and determining the suggested arrival airport time corresponding to the flight according to the flight prompt information.
Optionally, the first determining module is specifically configured to:
acquiring event information subscribed by a user, wherein the event information comprises date, event type and flight information, and the event type is a connection event or a transmission event; determining flights subscribed by the user according to the flight information included in the event information;
the second determining module is specifically configured to:
if the event type included in the event information is a machine sending event, inquiring security check information of the date; determining a reserved waiting time length based on the security check information; and calculating the suggested arrival airport time according to the departure time of the flight and the reserved waiting time.
Optionally, the scene parameters of the airport include any one or more of the following: the terminal building identification corresponding to the flight, the suggested arrival airport time, throughput information of the airport and the order quantity associated with the airport; the order quantity is the order quantity of event information of the user subscription pick-up machine;
The third determining module is specifically configured to:
inputting the scene parameters into a pre-established delay model to obtain delay time length output by the delay model, wherein the delay model is obtained by training according to historical scene parameters and the corresponding historical delay time length.
Optionally, the apparatus further includes: a fourth determining module, configured to:
calculating, as a first value, a sum of a number of flights arriving at the airport and a number of flights departing from the airport within a time period in which the proposed moment of arrival at the airport is located, in a case where the scene parameter includes throughput information of the airport; calculating the ratio of the first value to the number of the airports as throughput information of the airports;
in the event that the scene parameters include a number of orders associated with an airport, determining, in the orders associated with the airport, a number of orders having a time interval less than a preset duration from a time of the proposed arrival at the airport;
and under the condition that the scene parameters of the airport comprise the terminal identifiers corresponding to the flights, determining the terminal identifiers corresponding to the flights according to the flight information and the event types included in the event information.
Optionally, the computing module includes:
the prediction sub-module is used for predicting the time consumption of a user from the current position to the airport;
and the calculating sub-module is used for calculating the departure time according to the time consumption, the delay time and the suggested arrival airport time.
Optionally, the prediction submodule is specifically configured to:
if the vehicle-mounted equipment used by the user is in a starting state, determining the current position of the vehicle-mounted equipment, and predicting the time consumption of reaching the airport from the current position;
and if the vehicle-mounted equipment used by the user is in an unactuated state, determining the position of the vehicle-mounted equipment which is recorded recently, and predicting the time consumption of reaching the airport from the position of the user as the position of the user.
Optionally, the apparatus further includes:
and the reminding module is used for sending reminding information to the user before reaching the departure time.
Optionally, the reminding module is specifically configured to:
if the vehicle-mounted equipment used by the user is in a starting state, reminding information is sent through the vehicle-mounted equipment;
and if the vehicle-mounted equipment used by the user is in an unactuated state, sending reminding information through the terminal equipment used by the user.
Optionally, the reminding module is specifically configured to:
judging whether the difference value between the current time and the departure time reaches a preset time threshold value or not;
and if the departure time arrives, sending reminding information to the user, wherein the reminding information comprises the departure time.
Based on the above object, the embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements any one of the departure time determining methods described above when executing the program.
By applying the embodiment of the invention, the delay time is determined according to the scene parameters of the airport; calculating the departure time of the user according to the delay time and the suggested arrival airport time; the scene parameters of the airport have association relation with the situations of traffic jam, airport flow control and the like, namely, the moment of departure is planned by using the scheme, the influence of factors such as traffic jam, airport flow control and the like is considered, and the planning accuracy is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a first method for determining departure time according to an embodiment of the present invention;
fig. 2 is a second flowchart of a departure time determining method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a departure time determining apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention will be further described in detail below with reference to specific embodiments and with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent.
It should be noted that unless otherwise defined, technical or scientific terms used in the embodiments of the present invention should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present disclosure pertains. The terms "first," "second," and the like, as used in this disclosure, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
In order to achieve the above purpose, the embodiment of the invention provides a departure time determining method and device. The departure time determination method will be described in detail first. The departure time determining method can be applied to various electronic devices such as a server, vehicle-mounted equipment, terminal equipment and the like, and is not particularly limited.
Fig. 1 is a first flowchart of a departure time determining method according to an embodiment of the present invention, including:
s101: a flight to which the user subscribes is determined.
For example, a user may subscribe to the pick-up reminder service prior to pick-up or pick-up. For example, the user may submit an order for subscribing to the pick-up event, where the order may include information such as date, flight information, whether to pick up or send the user, and so on, so that the flight subscribed to by the user may be determined based on the order.
In one embodiment, S101 may include: acquiring event information subscribed by a user, wherein the event information comprises date, event type and flight information; and determining the flights subscribed by the user according to the flight information included in the event information. The event type is a connection event or a delivery event, the flight information is information of a user connection or delivery flight, and the date is the user connection or delivery date.
For example, the flight information may include a flight number, a start point and an end point of the flight, and if it is a transit flight, the flight information may also include transit information, etc., which is not particularly limited. The starting point may be a city, a take-off airport if a city includes a plurality of airports, or a terminal building if a take-off airport includes a plurality of terminal buildings; similarly, the destination may be a city, if multiple airports are included in a city, the destination may be an arrival airport, and if multiple terminal buildings are included in an arrival airport, the origin may be a terminal building of an arrival airport.
S102: a suggested arrival airport time corresponding to the flight is determined.
In one embodiment, if the event type included in the event information subscribed by the user is an airport receiving event, determining a suggested arrival airport time corresponding to the flight according to the arrival time of the flight. For example, the arrival time of the flight may be determined as a proposed arrival airport time corresponding to the flight, or the proposed arrival airport time may be earlier or later than the arrival time of the flight, which is not specifically limited.
If the event type included in the event information subscribed by the user is a delivery event, determining the suggested arrival airport time corresponding to the flight according to the departure time of the flight. For example, the proposed arrival airport time may be two hours, or three hours, or the like, earlier than the departure time, without limitation.
In another embodiment, S102 may include: acquiring flight prompt information issued by an airport, and determining the suggested arrival airport time corresponding to the flight according to the flight prompt information.
In general, an airport or airline company issues some prompt for a flight, which may include a suggested arrival time at the airport. For example, for a departure flight (corresponding to a delivery event), if it is a domestic flight, the proposed airport arrival time is typically two hours before the departure time, and if it is an international flight, the proposed airport arrival time is typically three hours before the departure time.
For another example, for an arriving flight (corresponding to an airport pickup event), the proposed airport arrival time may be the time the aircraft is arriving at the airport if the flight is not late, and the proposed airport arrival time may be the time the aircraft arrives at the airport after the late time if the flight is late. Thus, when the arrival airport time is determined to be suggested for the connection event, the flight delay condition is considered, that is, the departure time is planned according to the flight delay condition, so that the waiting time when the user connects the airport can be reduced.
Alternatively, in another case, the prompt information issued by the airport or the airline company may not directly include the proposed arrival time of the airport, but may include the delay time of the flight, or include information such as "airport security upgrade, proposed arrival time in advance" and the like. In this way, for the delivery event, the proposed arrival airport time can be calculated based on the prompt information in combination with the departure time of the flight determined in S101. For the airport-arrival event, the proposed airport-arrival time can be calculated according to the prompt information and in combination with the positive arrival time of the flight determined in S101.
In one embodiment, S102 may include: if the event type included in the event information is a machine sending event, inquiring security check information of the date; determining a reserved waiting time length based on the security check information; and calculating the suggested arrival airport time according to the departure time of the flight and the reserved waiting time.
For example, assume that event information subscribed to by a user includes: date: 11 months 20 days 2019, flight number KN5955, event type: a send event. The starting point of KN5955 flight is Beijing Daxingguo airport, the ending point is Shanghai iridoth bridge International airport T2 terminal building, the take-off time from Beijing is 15:30, and the estimated arrival time at Shanghai is 17:35. The security inspection information of the day of 11 months and 20 days in 2019 can be inquired to judge whether the security inspection upgrading condition exists. Or, the security check information in a period of time before and/or after 15:30 (take-off time) of 11/20/2019 can be queried to judge whether the security check upgrading condition exists.
If the airport arrival advice is not available, the airport arrival advice time can be determined according to the normal situation (domestic flights arrive at an airport two hours in advance and international flights arrive at the airport three hours in advance); if present, the airport may be reached some time in advance based on this usual situation.
For convenience of description, the duration reserved for security upgrade is referred to as security duration. In one case, the security check duration may be a fixed value, such as 0.5 hours, so that a domestic flight may arrive at the airport 2.5 hours in advance and an international flight 3.5 hours in advance.
Or in another case, the security inspection information can further include security inspection grades, and different grades correspond to different security inspection durations. For example, the security check duration corresponding to the highest security check level is one hour, so that the domestic flight can reach the airport 3 hours in advance and the international flight reaches the airport 4 hours in advance. The security check time length corresponding to the security check level can be set according to actual conditions, and the security check time length is not limited in particular.
S103: and determining the delay time according to scene parameters of the airport.
For example, assume that event information subscribed to by a user includes: date: 11 months 20 days 2019, flight number KN5955, event type: a send event. The starting point of KN5955 flight is Beijing Daxingguo airport, the ending point is Shanghai iridoth bridge International airport T2 terminal building, the take-off time from Beijing is 15:30, and the estimated arrival time at Shanghai is 17:35. And because the event type is a transmission event, determining delay time according to scene parameters of the international airport of Beijing Dacheng.
As another example, assume that event information subscribed to by a user includes: date: 11 months 20 days 2019, flight number KN5955, event type: and (5) a connection event. The starting point of KN5955 flight is Beijing Daxingguo airport, the ending point is Shanghai iridoth bridge International airport T2 terminal building, the take-off time from Beijing is 15:30, and the estimated arrival time at Shanghai is 17:35. And determining delay time length according to scene parameters of the Shanghai siphon bridge international airport because the event type is an on-hook event.
For example, the scene parameters of the airport include any one or more of the following: the terminal building identification corresponding to the flight, the suggested arrival airport time, throughput information of the airport and the order quantity associated with the airport; the order quantity is the order quantity of event information of the user subscribed to the receiver.
The following describes various scene parameters:
suggesting arrival airport time: s102 is already described, and will not be described here again.
Throughput information for airport:
calculating the sum of the number of arriving flights and the number of departing flights as a first value; and calculating the ratio of the first value to the number of airport positions as throughput information of an airport.
For example, in one case, the "number of arrival flights" referred to herein may be the number of arrival flights per day, and the "number of departure flights" referred to herein may be the number of departure flights per day.
In another case, the "number of arrival flights" and "number of departure flights" may also be real-time data. For example, the sum of the number of flights arriving at the airport and the number of flights departing from the airport in the time period of the proposed arrival airport time may be calculated as a first value; and calculating the ratio of the first numerical value to the number of the airports as throughput information of the airports. For example, the "number of flights arrived" may be the number of flights arrived one hour before and one hour after the "suggested arrival airport time". The "number of departure flights" may be the number of flights arriving two hours before and after the "suggested arrival airport time".
Alternatively, the "number of arrival flights" and "number of departure flights" may be the number of flights arriving at the airport or the number of flights departing from the airport before or after the time of receiving the user order.
Order quantity:
the order quantity is the order quantity of the event information of the user subscription pick-up machine. The number of orders having a time interval from the proposed arrival airport time less than a preset duration may be determined among orders associated with the airport.
The preset time period may be one hour before and/or after, or two hours, or three hours, etc., and is not particularly limited.
For example, assume that an order a submitted by a user is obtained in S101, it is determined that an airport corresponding to the order a is a beijing da international airport, the time suggested to reach the airport is 15:30, and the preset duration is assumed to be two hours before and after; in this case, the number of orders at the time of suggesting arrival at the airport in the period of 13:30-17:30 may be determined among orders associated with the international airport of great Kyoto.
Terminal building identification corresponding to flights:
in one embodiment, the terminal identifier corresponding to the flight may be determined according to the flight information included in the event information.
Continuing the above example, assume that the event information subscribed to by the user includes: date: 11 months 20 days 2019, flight number KN5955, event type: and (5) a connection event. The starting point of KN5955 flight is Beijing Daxingguo airport, the ending point is Shanghai iridoth bridge International airport T2 terminal building, the take-off time from Beijing is 15:30, and the estimated arrival time at Shanghai is 17:35. Because the event type is the connection event, the terminal building corresponding to the flight is an Shanghai rainbow bridge international airport T2 terminal building, and the terminal building identification can be: iridic bridge international airport T2.
Or in another implementation manner, the terminal building identification corresponding to the flight can be determined according to the flight information and the event type included in the event information.
In such an embodiment, the terminal identification is also related to the event type; alternatively, for the same terminal, the terminal identification for the flight from the terminal and the flight arriving at the terminal are different.
In one embodiment, the scene parameters may be input into a pre-established delay model to obtain a delay time length output by the delay model, where the delay model is obtained by training according to historical scene parameters and a corresponding historical delay time length.
For example, a history may be stored, where the history includes historical scene parameters and their corresponding historical delay times. An initial model can be established, the historical scene parameters included in the historical record are input into the initial model, then iteration adjustment is carried out on the initial model by taking the historical delay time as supervision according to the output result of the initial model, and the adjustment process is the training process. And after the adjustment is finished, obtaining a delay model after the training is finished. The acquired scene parameters are input into the delay model, and the delay model can output delay time length.
The scene parameters described in the above are influencing factors of the delay time. For example, the infrastructure construction conditions of different terminal buildings are different, so that the time consumed for a user to arrive at different terminal buildings or arrive at the same terminal building to connect with and send to the machine is different. The airport is busy in different time periods, and the time consumed by users for receiving and delivering the airport in different time periods is different. Airport throughput can also affect the time consuming user takes to pick up a airport. The larger the number of orders, the more users that go to the airport pickup machine, and the longer the time it takes for the user to pick up the machine.
Based on the delay model trained by the scene parameters, the delay time length can be accurately predicted.
Alternatively, in another embodiment, a functional relationship between the scene parameter and the delay time may be established, and the delay time is calculated according to the functional relationship and the acquired scene parameter.
S104: and calculating the departure time according to the suggested arrival airport time and the delay time.
For example, departure time = suggested arrival airport time-delay duration-journey time.
In one embodiment, S104 may include: predicting the time consumption of a user to arrive at the airport from the current location; and calculating departure time according to the time consumption, the delay time and the suggested arrival airport time.
Continuing the above example, assume that the event type is a conveyor event, the origin of flights KN5955, KN5955 is Beijing Dacheng international airport, the destination is Shanghai iridescent bridge international airport T2 airport terminal, the departure time from Beijing is 15:30, and the estimated arrival time at Shanghai is 17:35. Assuming that the time taken for the user to reach the international airport in Beijing university is one hour, the proposed arrival airport time is determined to be 13 in S102: 30 The delay time calculated in S103 is 0.5 hours, and the departure time=13: 30-1 hour-0.5 hour = 12:00.
for example, the time taken for a user to arrive at an airport from a current location may be predicted by navigation software or map software.
Alternatively, in one embodiment, predicting the time taken for a user to arrive at an airport from a current location may include:
if the vehicle-mounted equipment used by the user is in a starting state, determining the current position of the vehicle-mounted equipment, and predicting the time consumption of reaching the airport from the current position;
and if the vehicle-mounted equipment used by the user is in an unactuated state, determining the position of the vehicle-mounted equipment which is recorded recently, and predicting the time consumption of reaching the airport from the position of the user as the position of the user.
If the user is driving the vehicle, the current position of the user can be determined through the positioning information of the vehicle, so that the time consumed by the user to arrive at the airport is predicted.
If the user is not currently driving the vehicle, the current position of the user can be determined according to the last recorded positioning information of the vehicle. For example, assuming that the day date is 2019, 11, 20, the user drives the vehicle home the previous day, parks the vehicle in the cell; thus, the last recorded positioning information of the vehicle is the cell in which the user is located, and the current position of the user can be considered as being in the cell.
In one embodiment, after S104, a reminder may be sent to the user before the departure time is reached.
For example, it may be determined whether the difference between the current time and the departure time reaches a preset time threshold; and if the departure time arrives, sending reminding information to the user, wherein the reminding information comprises the departure time.
The preset time threshold may be 10 minutes, 20 minutes, etc., and the specific value is not limited. Let the departure time calculated in S104 be 12:00, assuming that the preset time threshold is 10 minutes, can be reached at 11: and 50, sending reminding information to the user. The alert information may be a voice message, for example, which may be sent To the user through TTS (Text To Speech). Or, the reminding information can be text information, and the specific reminding form is not limited. For example, the reminding information may be: please see 12:00 proceeds to the airport.
In one embodiment, whether the vehicle-mounted equipment used by the user is in a starting state or not can be judged, and if the vehicle-mounted equipment is in the starting state, reminding information is sent through the vehicle-mounted equipment; and if the terminal equipment is in the non-starting state, sending reminding information through the terminal equipment used by the user.
For example, in the case where the execution subject is a server, the server may determine whether the vehicle-mounted device used by the user is in a start state, if so, the vehicle-mounted device HU (Head Unit) outputs the reminding information, and if not, the server may output the reminding information through a terminal device such as a mobile phone or a tablet computer used by the user. If the reminding information is output through the mobile phone, the reminding can be carried out through a short message mode, or the reminding information is pushed through communication software in the mobile phone, and the specific reminding mode is not limited.
In this case, the server may store therein user registration information of the vehicle-mounted device and the terminal device, and the server may determine the vehicle-mounted device and the terminal device used by the user through the registration information. For example, a user may submit an order subscribing to a pick-up event through a vehicle-mounted device, a mobile phone, or a computer, the order is sent to a server, the server calculates a departure time of the user, the server determines whether the vehicle-mounted device used by the user is in a start state according to registration information of the user, if so, the departure time is sent to the vehicle-mounted device, and if not, the departure time is sent to a terminal device used by the user.
By applying the embodiment of the invention, in the first aspect, the delay time is determined according to scene parameters of an airport; calculating the departure time of the user according to the delay time and the suggested arrival airport time; the scene parameters of the airport have association relation with the situations of traffic jam, airport flow control and the like, namely, the moment of departure is planned by using the scheme, the influence of factors such as traffic jam, airport flow control and the like is considered, and the planning accuracy is improved. In a second aspect, in one embodiment, when determining the proposed arrival airport time for the user who receives the call, the flight delay condition is considered, that is, the departure time is planned according to the flight delay condition, so that the waiting time when the user receives the call can be reduced. In the third aspect, in one embodiment, if the vehicle-mounted device is in an inactive state, the terminal device sends the reminding information, so that the situation that the user does not receive the reminding information due to the fact that the vehicle is not started can be reduced, and the reliability of reminding is improved.
A specific embodiment is described below with reference to fig. 2:
the user subscribes to event information through front-end equipment, wherein the event information comprises flight information, date and event type; the event type is a connection event or a delivery event, the flight information is information of a user connection or delivery flight, and the date is the date of the user connection or delivery. The front-end equipment generates an order based on the user subscription and sends the order to the back-end server. The front-end device may be a vehicle-mounted device or a terminal device, which is not specifically limited.
After receiving the order, the back-end server determines the flight subscribed by the user and judges whether the user is an on-line event or an off-line event:
if the event is a delivery event, determining a take-off airport of the flight, and acquiring scene parameters of the airport. The scene parameters include: the terminal identification t corresponding to the flight, the suggested arrival airport time s, the throughput information beta of the airport, and the order quantity alpha associated with the airport.
Acquiring scene parameters of the airport includes:
inquiring security check information of dates in the event information; determining a reserved waiting time length based on the security check information; calculating the suggested arrival airport time s according to the departure time of the flight and the reserved waiting time;
calculating the sum of the number of flights arriving at the airport and the number of flights departing from the airport within the time period of s as a first numerical value; calculating the ratio of the first numerical value to the number of the airports as throughput information beta of the airports;
determining the number alpha of orders with a time interval less than a preset duration from s in orders associated with the airport;
and determining a terminal building identifier t corresponding to the flight under the transmission event according to the flight information included in the event information.
Scene parameters: and inputting beta, alpha, s and t into a pre-established delay model to obtain delay time length output by the delay model, wherein the delay model is obtained by training according to historical scene parameters and the corresponding historical delay time length.
Predicting the time consumption of a user to arrive at the airport from the current location;
and calculating the departure time according to the time consumption, the delay time and the suggested arrival airport time.
The departure time may be calculated using the following equation:
departure time = suggested arrival airport time- [ time consuming +f (β, α, s, t) ], where f (β, α, s, t) represents a delay period.
If the event is a connection event, determining an arrival airport of the flight, and acquiring scene parameters of the airport. The scene parameters include: the terminal identification t corresponding to the flight, the suggested arrival airport time s, the throughput information beta of the airport, and the order quantity alpha associated with the airport. For the same terminal, the terminal identifiers corresponding to the flights from the terminal and the flights arriving at the terminal are different, and for distinguishing, the terminal identifier corresponding to the transmission event is denoted as t, and the terminal identifier corresponding to the reception event is denoted as t.
Acquiring scene parameters of the airport includes:
acquiring flight prompt information issued by an airport, and determining a suggested arrival airport time s corresponding to the flight according to the flight prompt information;
calculating the sum of the number of flights arriving at the airport and the number of flights departing from the airport within the time period of s as a first numerical value; calculating the ratio of the first numerical value to the number of the airports as throughput information beta of the airports;
Determining the number alpha of orders with a time interval less than a preset duration from s in orders associated with the airport;
and determining a terminal building identifier t corresponding to the flight under the transmission event according to the flight information included in the event information.
In general, an airport or airline company issues some prompt for a flight, which may include a suggested arrival time at the airport. For example, for a departure flight (corresponding to a delivery event), if it is a domestic flight, the proposed airport arrival time is typically two hours before the departure time, and if it is an international flight, the proposed airport arrival time is typically three hours before the departure time.
For another example, for an arriving flight (corresponding to an airport pickup event), the proposed airport arrival time may be the time the aircraft is arriving at the airport if the flight is not late, and the proposed airport arrival time may be the time the aircraft arrives at the airport after the late time if the flight is late. Thus, when the arrival airport time is determined to be suggested for the connection event, the flight delay condition is considered, that is, the departure time is planned according to the flight delay condition, so that the waiting time when the user connects the airport can be reduced.
Alternatively, in another case, the prompt information issued by the airport or the airline company may not directly include the proposed arrival time of the airport, but may include the delay time of the flight, or include information such as "airport security upgrade, proposed arrival time in advance" and the like. In this way, for the delivery event, the proposed arrival airport time can be calculated according to the prompt information and in combination with the determined departure time of the flight. For the airport receiving event, the proposed arrival airport time can be calculated according to the prompt information and combined with the determined positive arrival time of the flight.
Scene parameters: and inputting beta, alpha, s and t into a pre-established delay model to obtain delay time length output by the delay model, wherein the delay model is obtained by training according to historical scene parameters and the corresponding historical delay time length.
Predicting the time consumption of a user to arrive at the airport from the current location;
and calculating the departure time according to the time consumption, the delay time and the suggested arrival airport time.
The departure time may be calculated using the following equation:
departure time = suggested arrival airport time- [ time consuming +f (β, α, s, t) ], where f (β, α, s, t) represents a delay period.
Judging whether the difference value between the current time and the departure time reaches a preset time threshold value or not; and if the departure time arrives, sending reminding information to the user, wherein the reminding information comprises the departure time.
For example, a user may submit an order subscribing to a pick-up event through a front-end device such as a vehicle-mounted device, a mobile phone, or a computer, and the order is sent to a server, the server calculates a departure time of the user, and the server determines whether the vehicle-mounted device used by the user is in a startup state according to registration information of the user, if the vehicle-mounted device is in the startup state, sends the departure time to the vehicle-mounted device, and if the vehicle-mounted device is in the non-startup state, sends the departure time to a terminal device used by the user.
In the first aspect, in some related schemes, if a user encounters traffic jam, airport flow control, security check upgrade and the like during the process of receiving and sending the machine, delay occurs in receiving and sending the machine by the user. In the scheme, the delay time is calculated in consideration of the factors possibly causing delay, the departure time is planned based on the delay time, and the planning accuracy is improved.
In a second aspect, in some related aspects, the departure time is determined for a user who receives a flight based on the time of arrival at the airport where the flight was originally scheduled, so that if a flight delay occurs, the user waits longer. In the scheme, when the user who receives the airport, the time of arrival is determined, and the flight delay condition is considered, namely, the departure time is planned according to the flight delay condition, so that the waiting time of the user when receiving the airport can be reduced.
In the third aspect, in one embodiment, if the vehicle-mounted device is in an inactive state, the terminal device sends the reminding information, so that the situation that the user does not receive the reminding information due to the fact that the vehicle is not started can be reduced, and the reliability of reminding is improved.
It should be noted that, the method of the embodiment of the present invention may be performed by a single device, for example, a computer or a server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the method of an embodiment of the present invention, the devices interacting with each other to accomplish the method.
Corresponding to the above method embodiment, the embodiment of the present invention further provides a departure time determining device, as shown in fig. 3, including:
a first determining module 301, configured to determine a flight subscribed by a user;
a second determining module 302, configured to determine a proposed arrival airport time corresponding to the flight;
a third determining module 303, configured to determine a delay duration according to scene parameters of the airport;
A calculating module 304, configured to calculate a departure time according to the suggested arrival airport time and the delay time.
As an embodiment, the second determining module 302 is specifically configured to:
acquiring flight prompt information issued by an airport;
and determining the suggested arrival airport time corresponding to the flight according to the flight prompt information.
As an embodiment, the first determining module 301 is specifically configured to:
acquiring event information subscribed by a user, wherein the event information comprises date, event type and flight information, and the event type is a connection event or a transmission event; determining flights subscribed by the user according to the flight information included in the event information;
the second determining module 302 is specifically configured to:
if the event type included in the event information is a machine sending event, inquiring security check information of the date; determining a reserved waiting time length based on the security check information; and calculating the suggested arrival airport time according to the departure time of the flight and the reserved waiting time.
As an embodiment, the scene parameters of the airport include any one or more of the following: the terminal building identification corresponding to the flight, the suggested arrival airport time, throughput information of the airport and the order quantity associated with the airport; the order quantity is the order quantity of event information of the user subscription pick-up machine;
The third determining module 303 is specifically configured to:
inputting the scene parameters into a pre-established delay model to obtain delay time length output by the delay model, wherein the delay model is obtained by training according to historical scene parameters and the corresponding historical delay time length.
As an embodiment, the apparatus further comprises: a fourth determining module (not shown in the figure) for:
calculating, as a first value, a sum of a number of flights arriving at the airport and a number of flights departing from the airport within a time period in which the proposed moment of arrival at the airport is located, in a case where the scene parameter includes throughput information of the airport; calculating the ratio of the first value to the number of the airports as throughput information of the airports;
in the event that the scene parameters include a number of orders associated with an airport, determining, in the orders associated with the airport, a number of orders having a time interval less than a preset duration from a time of the proposed arrival at the airport;
and under the condition that the scene parameters of the airport comprise the terminal identifiers corresponding to the flights, determining the terminal identifiers corresponding to the flights according to the flight information and the event types included in the event information.
As one embodiment, the computing module 304 includes: a prediction sub-module and a calculation sub-module (not shown in the figure), wherein,
the prediction sub-module is used for predicting the time consumption of a user from the current position to the airport;
and the calculating sub-module is used for calculating the departure time according to the time consumption, the delay time and the suggested arrival airport time.
As an embodiment, the prediction submodule is specifically configured to:
if the vehicle-mounted equipment used by the user is in a starting state, determining the current position of the vehicle-mounted equipment, and predicting the time consumption of reaching the airport from the current position;
and if the vehicle-mounted equipment used by the user is in an unactuated state, determining the position of the vehicle-mounted equipment which is recorded recently, and predicting the time consumption of reaching the airport from the position of the user as the position of the user.
As an embodiment, the apparatus further comprises:
and the reminding module (not shown in the figure) is used for sending reminding information to the user before reaching the departure time.
As an implementation manner, the reminding module is specifically configured to:
if the vehicle-mounted equipment used by the user is in a starting state, reminding information is sent through the vehicle-mounted equipment;
And if the vehicle-mounted equipment used by the user is in an unactuated state, sending reminding information through the terminal equipment used by the user.
As an implementation manner, the reminding module is specifically configured to:
judging whether the difference value between the current time and the departure time reaches a preset time threshold value or not;
and if the departure time arrives, sending reminding information to the user, wherein the reminding information comprises the departure time.
The device of the foregoing embodiment is configured to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
The embodiment of the present invention further provides an electronic device, as shown in fig. 4, including a memory 402, a processor 401, and a computer program stored in the memory 402 and capable of running on the processor 401, where the processor 401 executes the program to implement any of the foregoing departure time determining methods.
The electronic device may be a server, a vehicle-mounted device, a terminal device, or the like, and is not particularly limited.
The processor 410 may be implemented by a general-purpose CPU (Central Processing Unit ), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc. for executing relevant programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 420 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 420 may store an operating system and other application programs, and when the technical solutions provided by the embodiments of the present specification are implemented in software or firmware, the relevant program codes are stored in memory 420 and invoked for execution by processor 410.
The illustrated embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform any of the departure time determination methods described above.
The computer readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be used to implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the disclosure, including the claims, is limited to these examples; the technical features of the above embodiments or in the different embodiments may also be combined within the idea of the invention, the steps may be implemented in any order and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure the invention. Furthermore, the devices may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present invention is to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.
The embodiments of the invention are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omission, modification, equivalent replacement, improvement, etc. of the present invention should be included in the scope of the present invention.

Claims (17)

1. A departure time determination method, comprising:
determining flights subscribed by a user;
determining the suggested arrival airport time corresponding to the flight;
determining delay time according to scene parameters of an airport; the delay time is the predicted delay time for the user to arrive at the airport;
calculating departure time according to the suggested arrival airport time and the delay time;
wherein the scene parameters of the airport include throughput information of the airport and/or the number of orders associated with the airport; the order quantity is the order quantity of event information of the user subscription pick-up machine;
If the scene parameters include throughput information of an airport, the method further comprises: calculating the sum of the number of flights arriving at the airport and the number of flights departing from the airport in the time period of the proposed arrival airport as a first numerical value; calculating the ratio of the first value to the number of the airports as throughput information of the airports;
if the scene parameters include a number of orders associated with an airport, the method further comprises: in the orders associated with the airport, determining a number of orders having a time interval less than a preset duration from the time of the proposed arrival at the airport.
2. The method of claim 1, wherein the determining the suggested arrival time for the flight comprises:
acquiring flight prompt information issued by an airport;
and determining the suggested arrival airport time corresponding to the flight according to the flight prompt information.
3. The method of claim 1, wherein the determining the flights to which the user subscribes comprises:
acquiring event information subscribed by a user, wherein the event information comprises date, event type and flight information, and the event type is a connection event or a transmission event;
Determining flights subscribed by the user according to the flight information included in the event information;
the determining the suggested arrival airport time corresponding to the flight comprises the following steps:
if the event type included in the event information is a machine sending event, inquiring security check information of the date; determining a reserved waiting time length based on the security check information; and calculating the suggested arrival airport time according to the departure time of the flight and the reserved waiting time.
4. The method of claim 1, wherein determining the delay period based on the scene parameters of the airport comprises:
inputting the scene parameters into a pre-established delay model to obtain delay time length output by the delay model, wherein the delay model is obtained by training according to historical scene parameters and the corresponding historical delay time length.
5. The method of claim 1, wherein the scene parameters of the airport further comprise any one or more of: the terminal building identifier corresponding to the flight and the suggested arrival airport time;
if the scene parameter of the airport includes a terminal identifier corresponding to the flight, the method further includes: and determining the terminal building identification corresponding to the flight according to the flight information and the event type included in the event information.
6. The method of claim 1, wherein said calculating a departure time from said suggested arrival airport time and said delay time comprises:
predicting the time consumption of a user to arrive at the airport from the current location;
and calculating departure time according to the time consumption, the delay time and the suggested arrival airport time.
7. The method of claim 6, wherein predicting the time taken for the user to reach the airport starting from the current location comprises:
if the vehicle-mounted equipment used by the user is in a starting state, determining the current position of the vehicle-mounted equipment, and predicting the time consumption of reaching the airport from the current position;
and if the vehicle-mounted equipment used by the user is in an unactuated state, determining the position of the vehicle-mounted equipment which is recorded recently, and predicting the time consumption of reaching the airport from the position of the user as the position of the user.
8. The method of claim 1, further comprising, after said calculating a departure time from said suggested arrival airport time and said delay period:
and before reaching the departure time, sending reminding information to the user.
9. The method of claim 8, wherein the sending the alert message to the user comprises:
if the vehicle-mounted equipment used by the user is in a starting state, reminding information is sent through the vehicle-mounted equipment;
and if the vehicle-mounted equipment used by the user is in an unactuated state, sending reminding information through the terminal equipment used by the user.
10. The method of claim 8, wherein the sending the reminder to the user before the departure time is reached comprises:
judging whether the difference value between the current time and the departure time reaches a preset time threshold value or not;
and if the departure time arrives, sending reminding information to the user, wherein the reminding information comprises the departure time.
11. A departure time determination apparatus, comprising:
the first determining module is used for determining flights subscribed by the user;
a second determining module, configured to determine a proposed arrival airport time corresponding to the flight;
the third determining module is used for determining delay time according to scene parameters of the airport; the delay time is the predicted delay time for the user to arrive at the airport;
the calculating module is used for calculating the departure time according to the suggested arrival airport time and the delay time;
Wherein the scene parameters of the airport include throughput information of the airport and/or the number of orders associated with the airport; the order quantity is the order quantity of event information of the user subscription pick-up machine;
the apparatus further comprises: a fourth determining module, configured to calculate, as a first numerical value, a sum of a number of flights arriving at the airport and a number of flights departing from the airport in a period of time in which the proposed arrival time at the airport is located, in a case where the scene parameter includes throughput information of the airport; calculating the ratio of the first value to the number of the airports as throughput information of the airports; in the event that the scenario parameters include a number of orders associated with an airport, determining, from the orders associated with the airport, a number of orders having a time interval less than a preset duration from a time of the proposed arrival at the airport.
12. The apparatus according to claim 11, wherein the second determining module is specifically configured to:
acquiring flight prompt information issued by an airport;
and determining the suggested arrival airport time corresponding to the flight according to the flight prompt information.
13. The apparatus of claim 11, wherein the first determining module is specifically configured to:
acquiring event information subscribed by a user, wherein the event information comprises date, event type and flight information, and the event type is a connection event or a transmission event; determining flights subscribed by the user according to the flight information included in the event information;
the second determining module is specifically configured to:
if the event type included in the event information is a machine sending event, inquiring security check information of the date; determining a reserved waiting time length based on the security check information; and calculating the suggested arrival airport time according to the departure time of the flight and the reserved waiting time.
14. The apparatus of claim 11, wherein the scene parameters of the airport further comprise any one or more of: the terminal building identifier corresponding to the flight and the suggested arrival airport time;
the third determining module is specifically configured to:
inputting the scene parameters into a pre-established delay model to obtain delay time length output by the delay model, wherein the delay model is obtained by training according to historical scene parameters and the corresponding historical delay time length;
The fourth determining module is further configured to:
and under the condition that the scene parameters of the airport comprise the terminal identifiers corresponding to the flights, determining the terminal identifiers corresponding to the flights according to the flight information and the event types included in the event information.
15. The apparatus of claim 11, wherein the computing module comprises:
the prediction sub-module is used for judging whether the vehicle-mounted equipment used by the user is in a starting state or not; if the vehicle-mounted equipment is in a starting state, determining the current position of the vehicle-mounted equipment, and predicting the time consumption of reaching the airport from the current position; if the vehicle-mounted equipment is in an unactuated state, determining the position of the vehicle-mounted equipment which is recorded recently, and predicting the time consumption of reaching the airport from the position of the user as the position of the user;
and the calculating sub-module is used for calculating the departure time according to the time consumption, the delay time and the suggested arrival airport time.
16. The apparatus of claim 11, wherein the apparatus further comprises:
the reminding module is used for sending reminding information to the user through the vehicle-mounted equipment before the departure time is reached under the condition that the vehicle-mounted equipment used by the user is in a starting state; and under the condition that the vehicle-mounted equipment used by the user is in an unactuated state, before reaching the departure time, sending reminding information through the terminal equipment used by the user.
17. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 10 when the program is executed by the processor.
CN201911168932.6A 2019-11-25 2019-11-25 Departure time determining method, device and equipment Active CN111144594B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911168932.6A CN111144594B (en) 2019-11-25 2019-11-25 Departure time determining method, device and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911168932.6A CN111144594B (en) 2019-11-25 2019-11-25 Departure time determining method, device and equipment

Publications (2)

Publication Number Publication Date
CN111144594A CN111144594A (en) 2020-05-12
CN111144594B true CN111144594B (en) 2023-07-28

Family

ID=70516650

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911168932.6A Active CN111144594B (en) 2019-11-25 2019-11-25 Departure time determining method, device and equipment

Country Status (1)

Country Link
CN (1) CN111144594B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115018436B (en) * 2021-11-16 2023-12-01 荣耀终端有限公司 Travel reminding method and electronic equipment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014064778A1 (en) * 2012-10-24 2014-05-01 株式会社日立製作所 Train-service management device, system, and method
CA2922072A1 (en) * 2015-02-27 2016-08-27 Royal Bank Of Canada Coordinated processing of data by networked computing resources
CN110435574A (en) * 2019-07-02 2019-11-12 大众问问(北京)信息科技有限公司 A kind of scenario simulation method, apparatus and mobile unit based on mobile unit

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080162270A1 (en) * 2006-12-29 2008-07-03 Edward Kim Method and system for forecasting future order requirements
US8473126B2 (en) * 2008-07-28 2013-06-25 Passur Aerospace, Inc. Surface management at an airport
US9180978B2 (en) * 2010-07-15 2015-11-10 Passur Aerospace, Inc. System and method for departure metering from airports
CN102903257B (en) * 2011-07-29 2017-03-08 上海博泰悦臻电子设备制造有限公司 Automobile navigation method and Vehicular navigation system
US9771148B2 (en) * 2013-11-29 2017-09-26 Borealis Technical Limited Airport terminal aircraft gate traffic management system and method
CN106651108A (en) * 2016-10-25 2017-05-10 合肥飞友网络科技有限公司 Method for scheduling airport vehicles according to flight information
CN108830543B (en) * 2018-04-24 2023-04-28 平安科技（深圳）有限公司 Travel reminding method and terminal equipment
CN109711588A (en) * 2018-12-29 2019-05-03 上海携程商务有限公司 Pick booking method, system, storage medium and the electronic equipment of machine service
CN110334839B (en) * 2019-04-15 2021-05-14 北京航空航天大学 Flight delay prediction method, device, equipment and storage medium

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014064778A1 (en) * 2012-10-24 2014-05-01 株式会社日立製作所 Train-service management device, system, and method
CA2922072A1 (en) * 2015-02-27 2016-08-27 Royal Bank Of Canada Coordinated processing of data by networked computing resources
CN110435574A (en) * 2019-07-02 2019-11-12 大众问问(北京)信息科技有限公司 A kind of scenario simulation method, apparatus and mobile unit based on mobile unit

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
机场流量管理模型的公平性与有效性研究;周沁,张军,张学军;中国科技信息(第04期);全文 *

Also Published As

Publication number Publication date
CN111144594A (en) 2020-05-12

Similar Documents

Publication Publication Date Title
US10839695B2 (en) Network computer system to position service providers using provisioning level determinations
US20180150773A1 (en) Parking forecast and parking guidance planning system and method
CN107491825B (en) Taxi booking processing method and system
CA3018756C (en) Casual driver ride sharing
US20190392357A1 (en) Request optimization for a network-based service
US20160300318A1 (en) Fare determination system for on-demand transport arrangement service
CN105096183A (en) Task-triggered public bicycle self-scheduling method and system based on Internet of Things
WO2017214324A1 (en) Hierarchical selection process
CN107944797A (en) The monitoring method of transport task, apparatus and system
US9217647B2 (en) Guidebook transit routing
US20210293555A1 (en) Systems and methods for generating trip plan
US20200311618A1 (en) Multimodal network-based service
CN113627792B (en) Unmanned vehicle scheduling management method, device, equipment, storage medium and program
US20180308038A1 (en) Network system capable of grouping multiple service requests
CN105205873A (en) Parking lot management device, system and method
CN110612523B (en) Associating identifiers based on paired data sets
CN111144594B (en) Departure time determining method, device and equipment
JP6439251B2 (en) Vehicle management system and vehicle management method
CN109919492B (en) Sanitation resource scheduling method, device and system
US20210262817A1 (en) Systems and methods for predicting estimated time of arrival
CN113129102B (en) Delayed order dispatching method and device, electronic equipment and storage medium
US20200396227A1 (en) Extending arrival estimates using continuous data streams
US20210304604A1 (en) Systems and methods for parking suggestions
US9880016B2 (en) Apparatus for route guide and control method thereof
US20100036687A1 (en) mobile transport selection and acquisition

Legal Events

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