CN108830543B - Travel reminding method and terminal equipment - Google Patents
Travel reminding method and terminal equipment Download PDFInfo
- Publication number
- CN108830543B CN108830543B CN201810371576.7A CN201810371576A CN108830543B CN 108830543 B CN108830543 B CN 108830543B CN 201810371576 A CN201810371576 A CN 201810371576A CN 108830543 B CN108830543 B CN 108830543B
- Authority
- CN
- China
- Prior art keywords
- traffic
- delay
- shift
- time
- information
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000008859 change Effects 0.000 claims description 34
- 238000013528 artificial neural network Methods 0.000 claims description 32
- 238000004590 computer program Methods 0.000 claims description 23
- 230000006870 function Effects 0.000 claims description 16
- 238000004891 communication Methods 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000001514 detection method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 206010039203 Road traffic accident Diseases 0.000 description 3
- 239000003795 chemical substances by application Substances 0.000 description 3
- 230000008676 import Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 125000004122 cyclic group Chemical group 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 230000010006 flight Effects 0.000 description 2
- 230000000306 recurrent effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012508 change request Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
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
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1093—Calendar-based scheduling for persons or groups
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention is applicable to the technical field of communication, and provides a travel reminding method and terminal equipment, wherein the method comprises the following steps: acquiring travel information of a user; if the difference value between the current time and the planned departure time is smaller than a preset delay pre-judging starting threshold value, inquiring a historical trip record and a current position of a traffic shift, and acquiring a current traffic jam grade; importing the historical trip record, the current position and the traffic jam level into a delay time estimation model to determine delay time of a traffic shift; if the delay time is longer than the delay reminding threshold, the delay reminding information is pushed to the terminal of the user. The invention can reasonably arrange the departure time without waiting for a long time when a user leaves a hall, finish other matters in the delay time and avoid the congestion of personnel in a hall.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a travel reminding method and terminal equipment.
Background
Along with the continuous development of various traffic mode technologies, traffic modes such as high-speed rail, airplane and the like bring great convenience to the travel of users, and the time between different cities and countries is shorter and shorter. However, with the increasing number of vehicles, road surfaces, tracks and even channels are congested, so that delay occurs. However, delay information can be obtained only when a user arrives at a departure hall, and at the moment, the user can only wait for arrival of traffic shifts at the departure hall, so that time of the user is wasted, and people in the departure hall are jammed when delay occurs in a plurality of shifts. Therefore, the existing travel reminding method is easy to waste user time when the delay occurs and causes the congestion of people in a departure hall.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a travel reminding method and terminal equipment, which are used for solving the problems that the existing travel reminding method only reminds based on the planned departure time of a traffic shift, so that the user time is wasted when delay occurs and the people in a departure hall are jammed.
A first aspect of an embodiment of the present invention provides a trip prompting method, including:
acquiring travel information of a user; the travel information comprises a traffic shift and a planned departure time of the traffic shift;
if the difference value between the current time and the planned departure time is smaller than a preset delay prejudging starting threshold value, inquiring the historical trip record and the current position of the traffic shift, and acquiring the current traffic jam level;
importing the historical trip record, the current position and the traffic congestion level into a delay time estimation model to determine delay time of the traffic shift;
if the delay time length is greater than the delay reminding threshold value, pushing delay reminding information to a terminal of the user; the delay reminding information comprises recommended departure time; and calculating the recommended departure time according to the planned departure time and the delay time.
A second aspect of an embodiment of the present invention provides a terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring travel information of a user; the travel information comprises a traffic shift and a planned departure time of the traffic shift;
if the difference value between the current time and the planned departure time is smaller than a preset delay prejudging starting threshold value, inquiring the historical trip record and the current position of the traffic shift, and acquiring the current traffic jam level;
importing the historical trip record, the current position and the traffic congestion level into a delay time estimation model to determine delay time of the traffic shift;
if the delay time length is greater than the delay reminding threshold value, pushing delay reminding information to a terminal of the user; the delay reminding information comprises recommended departure time; and calculating the recommended departure time according to the planned departure time and the delay time.
A third aspect of the embodiments of the present invention provides a computer readable storage medium storing a computer program which when executed by a processor performs the steps of:
Acquiring travel information of a user; the travel information comprises a traffic shift and a planned departure time of the traffic shift;
if the difference value between the current time and the planned departure time is smaller than a preset delay prejudging starting threshold value, inquiring the historical trip record and the current position of the traffic shift, and acquiring the current traffic jam level;
importing the historical trip record, the current position and the traffic congestion level into a delay time estimation model to determine delay time of the traffic shift;
if the delay time length is greater than the delay reminding threshold value, pushing delay reminding information to a terminal of the user; the delay reminding information comprises recommended departure time; and calculating the recommended departure time according to the planned departure time and the delay time.
The travel reminding method and the terminal device provided by the embodiment of the invention have the following beneficial effects:
according to the embodiment of the invention, the travel information of the user is obtained, when the delay pre-judging starting condition is detected to be met, a plurality of characteristic parameters for calculating the delay time are obtained, and the delay time of the flight is determined based on the three parameters, namely the historical travel record and the current position of the traffic shift of the user and the current traffic congestion level, which are imported into the delay time estimation model. When the delay time is detected to be longer than the delay reminding threshold value, the prompt is given to the user, the user does not need to wait for a long time when leaving a hall, the departure time of the user can be reasonably arranged, other matters are completed in the delay time, and meanwhile, the congestion of people leaving a hall can be avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present 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 flowchart of an implementation of a travel reminding method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a specific implementation of a trip reminding method S103 according to a second embodiment of the present invention;
fig. 3 is a flowchart of a specific implementation of a trip reminding method according to a third embodiment of the present invention;
fig. 4 is a flowchart of a specific implementation of a trip reminding method S102 according to a fourth embodiment of the present invention;
fig. 5 is a flowchart of a specific implementation of a travel reminding method according to a fourth embodiment of the present invention;
fig. 6 is a block diagram of a terminal device according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a terminal device according to another embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
According to the embodiment of the invention, the travel information of the user is obtained, when the delay pre-judging starting condition is detected to be met, a plurality of characteristic parameters for calculating the delay time are obtained, and the delay time of the flight is determined based on the three parameters, namely the historical travel record and the current position of the traffic shift of the user and the current traffic congestion level, which are imported into the delay time estimation model. When the delay time length is detected to be greater than the delay reminding threshold value, the method prompts the user, and solves the problems that the existing travel reminding method only reminds based on the planned departure time of the traffic shift, the user time is wasted when delay occurs, and people in a departure hall are jammed are easy to cause.
In the embodiment of the present invention, the execution subject of the flow is a terminal device. The terminal device includes, but is not limited to: mobile terminals such as smart phones, notebook computers, tablet computers and the like. When the terminal equipment meets the preset reminding conditions, the terminal equipment sends out a travel reminding to the user. Fig. 1 shows a flowchart of implementation of the trip reminding method provided by the first embodiment of the present invention, which is described in detail as follows:
in S101, travel information of a user is acquired; the travel information includes a traffic shift and a planned departure time of the traffic shift.
In the embodiment, a user inputs a travel account of the user to a terminal device, the terminal device inquires whether related travel information exists in the user on the same day based on the travel account, and if the travel information exists in the user on the same day, the terminal device executes the related operation of S101; otherwise, if the terminal equipment judges that the travel information corresponding to the user does not exist on the same day, waiting for the arrival of the next natural day, and judging whether the travel information exists or not. Specifically, if the terminal device detects that the travel account of the user has added travel information, it identifies whether the travel date of the travel information is the same day, and if so, the relevant operation of S101 is performed.
Specifically, in the embodiment, the mode that the terminal equipment obtains the travel information through the travel account is that the terminal equipment generates an appearance information inquiry request according to the appearance account and the account password of the user and sends the inquiry request of the travel information to the server of each traffic institution, and the traffic institution comprises: after receiving the inquiry request of the travel information, the servers of the related traffic institutions return travel information related to the present account to the terminal equipment according to the present account, and the terminal equipment identifies whether the travel information effective on the current day exists in the travel information returned from each server.
In this embodiment, the travel information includes a traffic shift reserved by the user and a planned departure time of the traffic shift. Note that the traffic shift includes, but is not limited to: the number of the transportation means taken by the user can be determined by the flight number of the airplane flight, train, motor train, train number of the high-speed rail, ferry number of the ferry, license plate number of the passenger car and the like. In addition to the traffic shift, the occurrence information also records the planned departure time of the traffic shift, and because the planned departure time is based on the departure time corresponding to the traffic shift without delay under ideal conditions, the departure time and the actual departure time have certain difference, so in order to avoid long waiting time of the user, the actual departure time of the traffic shift needs to be judged before traveling, and whether the user needs to be reminded of delaying the departure time is determined.
In S102, if the difference between the current time and the planned departure time is smaller than a preset delay pre-judgment starting threshold, the historical trip record and the current position of the traffic shift are queried, and the current traffic jam level is obtained.
In this embodiment, after determining that the user has travel information on the same day, the terminal device extracts the planned departure time of the travel information, continuously monitors a difference value between the current time and the planned departure time, and determines whether the difference value is smaller than a preset delay pre-determination starting threshold value; if yes, starting a determination flow of delay time of the traffic shift; otherwise, continuing to monitor. The delay prejudging start threshold value can be manually set by a user or can be a default value set for the system.
In this embodiment, in order to determine the delay time of the traffic shift, the terminal device needs to acquire the history trip record of the traffic shift. The historical appearance record comprises travel records of the current day of the traffic shift, and because part of the traffic shift can go back and forth with the departure place at the destination for a plurality of times in the same day, the same traffic shift can correspond to a plurality of historical departure times in addition to the scheduled departure time reserved by the user in the current day, and of course, the historical travel record can also comprise travel records of all the dates before the current day, the average delay time length of the traffic shift can be judged through the historical appearance record, and the average delay time length is taken as one of factors for judging the delay time length of the traffic shift to be traveled by the user. In addition to acquiring the historical trip record of the user, the current position of the current traffic shift is acquired, and the distance difference between the current position and the expected position is used as one of factors for judging the delay time of the traffic shift. The delay time of the terminal equipment is related to the traffic congestion level on the round-trip path besides the actual running speed of the vehicle, so that the terminal equipment can acquire the traffic congestion level at the current moment.
Optionally, in this embodiment, the terminal device may acquire, in addition to the historical travel record of the traffic shift, travel records of other traffic shifts on the same day in the departure hall of the traffic shift. Because the departure time of the traffic shift scheduled by the user is affected if the departure jam exists in other traffic shifts of the departure hall, and the average delay time of the other traffic shifts of the departure hall can also be used as one of factors for estimating the delay time of the traffic shift of the user, the terminal device can acquire the historical occurrence record of the current day of the other traffic shifts of the departure hall, and determine the delay time of the traffic shift based on the historical occurrence record.
In S103, the historical trip record, the current location and the traffic congestion level are imported into a delay time estimation model, and a delay time of the traffic shift is determined.
In this embodiment, the terminal device imports the obtained historical appearance record of the traffic shift, the current position of the traffic shift and the traffic congestion level corresponding to the current time into the delay time estimation model, and determines the delay time of the traffic shift through the three parameters.
Optionally, in this embodiment, the terminal device determines a historical average delay factor of the traffic shift according to the historical occurrence record, obtains a location delay factor according to a difference between a current location and an expected location, queries a corresponding relationship table of traffic congestion levels and delay time periods, queries a congestion delay factor corresponding to the obtained traffic congestion levels, and imports the three factors into a preset delay estimation function to calculate the delay time period of the traffic shift. Wherein the delay estimation function is specifically:
wherein h is t Calculating the delay time length;
is an average delay factor; add is a location delay factor and Crsh is a congestion delay factor; alpha, beta and gamma are delay weights corresponding to the factors.
In S104, if the delay time is greater than the delay reminding threshold, pushing delay reminding information to the terminal of the user; the delay reminding information comprises recommended departure time; and calculating the recommended departure time according to the planned departure time and the delay time.
In this embodiment, after calculating the delay duration, the terminal device compares the delay duration with a preset delay reminding threshold, if the delay duration is greater than the delay reminding threshold, the delay duration is too long, if the user determines the departure time according to the predicted departure time, the user needs to wait for a long time in the departure hall, in order to help the user reasonably use the time, the terminal device pushes delay reminding information to the user so as to inform that the traffic shift has delay, the delay reminding information includes recommended departure time, and the user can plan a travel plan again according to the recommended departure time.
In this embodiment, after determining the delay time, the terminal device calculates the recommended departure time of the user based on the delay time and the planned departure time of the traffic shift. The specific calculation mode is as follows: the terminal equipment acquires the position information of the user and the position information of the departure hall of the traffic shift, calculates the distance spending time based on the two position information, and superimposes the distance spending time, the delay time and the planned departure time to obtain the planned departure time.
Optionally, in this embodiment, if the terminal device detects that the delay duration is less than or equal to the delay reminding threshold, this indicates that the delay time is shorter, and the user may still determine the departure time according to the predicted departure time. In this case, the terminal device may return to execute operations S101 to S103 at preset delay detection period intervals, acquire the delay duration of the traffic shift at intervals, and determine whether delay reminding information needs to be pushed to the user. Preferably, the delay detection period varies with the difference between the current time and the planned departure time, and if the difference is larger, the longer the duration of the delay detection period is, and the larger the delay reminding threshold is; if the difference value is smaller, the duration of the delay detection period is shorter, and the delay reminding threshold value is smaller, so that the aim of dynamically adjusting the reminding frequency can be fulfilled.
As can be seen from the above, according to the travel reminding method provided by the embodiment of the invention, by acquiring the travel information of the user, and when the fact that the delay pre-judging starting condition is met is detected, acquiring a plurality of characteristic parameters for calculating the delay time, namely the historical travel record and the current position of the traffic shift of the user, and the current traffic jam level, respectively, and determining the delay time of the flight based on the three parameters which are imported into the delay time estimation model. When the delay time is detected to be longer than the delay reminding threshold value, the prompt is given to the user, the user does not need to wait for a long time when leaving a hall, the departure time of the user can be reasonably arranged, other matters are completed in the delay time, and meanwhile, the congestion of people leaving a hall can be avoided.
Fig. 2 shows a flowchart of a specific implementation of the trip reminding method S103 according to the second embodiment of the present invention. Referring to fig. 2, with respect to the embodiment shown in fig. 1, the travel reminding method S103 provided in this embodiment includes S1031 to S1033, which are specifically described as follows:
further, as another embodiment of the present invention, the importing the historical trip record, the current location and the traffic congestion level into a delay time estimation model to determine a delay time of the traffic shift includes:
In S1031, a multi-layer feedback loop neural network matching the traffic type is acquired based on the traffic type of the traffic shift.
In this embodiment, before calculating the delay time, the terminal device needs to obtain traffic types of the traffic shift, where the traffic types include: the car type, the airplane type, the ferry type, the train type, the high-speed rail type, etc. are classified based on different vehicles. Because the delay factors of different vehicles are different, in order to improve the accuracy of the delay time, the terminal device first determines the traffic type of the user's traffic shift and determines the multi-layer recurrent neural network corresponding to the traffic type based on the traffic type.
In this embodiment, the delay time estimation model for calculating the delay time length is a combination of a multi-layer recurrent neural network and a delay time length determination function. Because the multi-layer cyclic neural network can take a plurality of vectors with time sequence relations as the input of the neural network, and output results based on the results of superposition of a plurality of time sequence variables on a time axis, the characteristics of the neural network are better than the phase of delay time calculation, the embodiment of the invention adopts the multi-layer cyclic neural network to calculate the delay expected value first, then determines the delay time of the traffic shift based on the delay expected value, can improve the accuracy of delay time estimation, and provides accurate standards for the formulation of a travel plan of a user.
In this embodiment, the terminal device may determine the traffic type of the traffic shift based on the coding rule of the number of the traffic shift, and then adjust each parameter of the multi-layer neural network through the traffic type, so as to obtain the multi-layer neural network corresponding to the traffic type.
In S1032, according to the time sequence of the history trip records, sequentially importing each history trip record into each level of the multi-layer feedback loop neural network, and determining the current delay expected value of the traffic shift; the multilayer feedback loop neural network specifically comprises:
wherein h is 0 Is an initial delay expected value; x is x 1 、x 2 …x t Recording each history trip; h is a 1 、h 2 …h t-1 Delay iteration intermediate values output by each level of the multi-layer feedback loop neural network; h is a t The current delay expected value of the traffic shift is obtained; w, U, b is the adjustment coefficient.
In this embodiment, the terminal device may sort the history processing records according to the order from old to new of the obtained times of the history occurrence records, determine the time sequence of each history occurrence record, and use the time sequence as the input signal in the input hierarchy of the multi-layer network, i.e. the nth cycle. For example, a time order of a certain history occurrence is 5, which indicates an input signal as a layer 5 neural network, that is, an input signal corresponding when the neural network loops to the 5 th time.
In this embodiment, the output of each level will be used as a feedback signal of the next level, and the delay time obtained this time is iterated to the next level, that is, the delay time of the previous time will affect the delay of the next time, which is just logic for estimating the delay time, so that the expected delay value can be accurately determined. It should be noted that, the number of the levels of the neural network may be set by the user, and if the number of the obtained historical trip records is smaller than the number of the levels of the neural network, the number of the levels of the multi-layer feedback loop neural network, that is, the number of loops may be adjusted, so that the number of the neural network and the number of the historical trip records are matched. The feedback information to the next level is the delay iteration intermediate value.
In this embodiment, the initial delay expected value and each adjustment coefficient are determined based on the traffic types of the traffic shifts, and the initial delay expected value and the adjustment coefficient of different traffic types are different. For example, for aircraft types, the initial expected delay value is larger, while for car types, the initial expected delay value is smaller, and the delay probability based on different traffic types is reflected on the initial expected delay value.
In S1033, importing a delay time length determining function according to the delay expected value, the current position and the traffic congestion level, and calculating a delay time length of the traffic shift; the delay time length determining function specifically comprises the following steps:
y＝t(Vh t + ′ Lv+b′Pst)
wherein y is the delay time; lv is the congestion level; pst is the current position; v, U ', b' are delay adjustment coefficients.
In this embodiment, after determining the expected delay value corresponding to the current traffic shift, the expected delay value, the traffic congestion level, and the current position of the traffic shift may be imported into the delay duration determination model to estimate the delay duration. As described above, each delay adjustment coefficient may be correspondingly adjusted according to the traffic type of the traffic shift.
In the embodiment of the invention, the delay time length of the traffic shift is calculated through the multilayer circulating neural network and the delay time length determining function, so that the accuracy is high, and an accurate time reference standard can be provided for a user to make a travel plan.
Fig. 3 shows a flowchart of a specific implementation of a trip reminding method according to a third embodiment of the present invention. Referring to fig. 3, compared to the embodiment shown in fig. 1, in the travel reminding method provided in this embodiment, after the delay reminding information is pushed to the terminal of the user if the delay is greater than the delay reminding threshold, the method further includes S301 to S303, which are specifically described as follows:
Further, as another embodiment of the present invention, after pushing the delay reminding information to the terminal of the user if the delay time is greater than the delay reminding threshold, the method further includes:
in S301, if the delay duration is greater than the change time threshold, determining estimated departure time of each candidate traffic shift based on the delay duration.
In this embodiment, the terminal device further records a change time threshold, and it should be noted that the delay reminding threshold is smaller than the change time threshold. The situation that the user needs to be reminded of changing the sign is generally that the delay time of the shift is too long, the normal travel plan of the user is influenced, if the user waits for the original delayed traffic shift, the user can possibly cause that the established task cannot be completed or the next traffic shift can not be transferred, and under the situation, the terminal equipment can remind the user that the shift is delayed, remind the user of changing the sign and reduce the influence on the travel plan of the user. Therefore, the change time threshold is larger than the delay time threshold, after the terminal equipment pushes delay reminding information to the user, if the delay time is larger than the change time threshold, the delay condition is indicated to possibly seriously affect the travel plan of the user, and at the moment, the terminal equipment can automatically provide an optional travel scheme for the user so as to reduce the influence of the delay condition on the user, reduce the operation of the user and improve the change efficiency.
In this embodiment, the terminal device may acquire the departure location and destination location of each traffic shift in the trip hall, select other traffic shifts that are the same as the departure location and destination location of the traffic shift that the user has subscribed to as candidate traffic shifts provided for the user to change, and determine the estimated departure time of each candidate traffic shift based on the planned departure time of each candidate traffic shift and the delay time calculated in S103.
In S302, a candidate traffic shift with the smallest difference between the estimated departure time and the planned departure time is selected as a change target shift.
In this embodiment, the terminal device calculates the difference between the estimated departure time of each candidate shift and the planned departure time of the traffic shifts subscribed by the user, and selects one candidate traffic shift with the smallest difference as the change target shift for which the user needs to change the sign. Since the smaller the difference value is, the smaller the influence on the travel plan of the user is indicated, the candidate traffic shift can be used as the target shift for the user to change.
Optionally, in this embodiment, after determining the change target shift, the terminal device may query whether there is a bookable agent in the change target shift. If so, performing the related operation of S303; otherwise, if no bookable agent exists, selecting the candidate traffic shift with the second smallest difference as a change target shift, and executing the above operation in a circulating manner until the selected change target shift exists the bookable agent, and executing the related operation of S303.
In S303, the change target shift is sent to the terminal of the user.
In this embodiment, the terminal device may push the change target shift to the terminal of the user, so as to prompt the user that the change operation needs to be performed. Optionally, if the change confirmation information sent by the user is received, submitting a change request to a server corresponding to the travel information subscribed by the user to perform a change operation, and returning a change result to the terminal of the user.
In the embodiment of the invention, when the terminal equipment detects that the delay time is greater than the change time threshold, the change flow is automatically started, and the traffic shift of the proper user is selected from the candidate traffic shifts to be used as the change target shift to be sent to the user, so that the operations of re-inquiring and selecting the traffic shift by the user are reduced, and the operation efficiency is improved.
Fig. 4 shows a flowchart of a specific implementation of the travel reminding method S102 according to the fourth embodiment of the present invention. Referring to fig. 4, compared to the embodiments described in fig. 1 to 3, in the travel reminding method provided in this embodiment, if the difference between the current time and the planned departure time is smaller than a preset delay pre-judgment starting threshold, the method queries the historical travel record and the current position of the traffic shift, and obtains the current traffic jam level includes: s1021 to S1023 are described in detail as follows:
In S1021, if the traffic type of the traffic shift is a road traffic type, road congestion information of a round-trip path of the traffic shift is obtained, and the traffic congestion level is determined based on the road congestion information.
In this embodiment, since factors affecting traffic congestion of different traffic types are different from each other, in order to accurately determine the traffic congestion level, the terminal device determines the traffic congestion level thereof by matching with the different traffic types.
In this embodiment, for a traffic means of road traffic type, the main factor affecting its running speed is whether the round-trip path is clear, such as the density of road vehicles and the number of road traffic accidents, so the terminal device may obtain congestion information of the road on the round-trip path of the traffic shift, and obtain the current traffic congestion level based on the congestion information. The specific implementation mode is as follows: the road congestion information includes: road surface vehicle density, number of traffic accidents, number of construction works, etc. If the density of the road vehicles is high, the traffic jam level is high; if the number of traffic accidents on the round trip path is larger, the traffic jam level is higher; if the number of construction works on the round trip path is larger, the traffic congestion level is higher.
In S1022, if the traffic type of the traffic shift is a track traffic type, delay information of all the train numbers on the round trip track of the traffic shift is obtained, and the traffic congestion level is determined based on the delay information.
In this embodiment, for the track traffic type, unlike the road traffic type, the vehicles of the type often need to share the same track, so if there is a delay in a traffic shift on a certain track, the departure time of other traffic shifts using the track will be affected. Therefore, the terminal equipment corresponds to the type of traffic shift, acquires the delay conditions of all the train numbers on the round trip track, and determines whether the track is in a congestion state based on the delay conditions of other train numbers, thereby determining the traffic congestion level of the track.
In S1023, if the traffic type of the traffic shift is a flight traffic type, obtaining runway waiting information of an departure airport of the traffic shift, and determining the traffic congestion level based on the runway waiting information.
In this embodiment, for the flight traffic type, although the flight tracks are all preset, there is no situation that the flight tracks overlap and are congested, different flights use the runway of the same departure airport when going out, and if the waiting time of each flight on the runway is overtime, the departure time of the flight reserved by the user is affected. Thus, for a flight traffic type, the traffic congestion situation is related to the waiting duration of each flight on its outgoing runway, and the terminal device will obtain waiting information of the outgoing runway, where the waiting information includes the waiting duration of other flights on the outgoing runway.
In the embodiment of the invention, the accuracy of estimating the delay time is improved by determining the corresponding traffic congestion level for different types of traffic shifts.
Fig. 5 shows a flowchart of a specific implementation of a trip reminding method according to a fifth embodiment of the present invention. Referring to fig. 5, with respect to the embodiment described in fig. 1, the trip reminding method provided in this embodiment further includes, after the trip information of the user is obtained: s501 and S502 are specifically described as follows:
in S501, location information of the user is acquired.
In this embodiment, before the reminding threshold is set, the terminal device will first determine the location information of the current user, and because the farther the location of the user is from the departure hall of the traffic shift, the longer the user goes to the departure hall, so that it is necessary to remind the user earlier whether there is traffic shift delay, and avoid the user going out; if the user is located closer to the traffic shift trigger hall, the process of starting delay time estimation can be postponed.
In S502, the deferred reminder threshold is determined based on the location information and the traffic type of the traffic shift.
In this embodiment, the inbound time periods of different traffic types are different, for the flight traffic types, the inbound process can be completed only by carrying out baggage check, security check, gate entry and even taking a bus for connection, so that the consumed inbound time is longer, and therefore, delay reminding needs to be carried out on a user earlier, while for the automobile traffic types, the inbound process is shorter, the inbound time consumption is less, and therefore, delay reminding can be carried out on the user later.
In this embodiment, the terminal device determines the deferred alert threshold based on the location information and the traffic type of the user, and determines when the user needs to be alerted to the deferred. As described above, the greater the distance value between the location information and the departure hall, the greater the delay reminding threshold value; otherwise, if the distance value between the position information and the departure hall is smaller, the delay reminding threshold value is smaller; if the length of the traffic type required for entering the station is longer, the delay reminding threshold value is larger; if the time required for the arrival of the traffic type is shorter, the delay reminding threshold value is smaller.
In the embodiment of the invention, the delay reminding threshold value is determined by identifying the synchronous traffic type and the user position information, so that the delay time length judgment process is dynamically started, and the accuracy of delay reminding is improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
Fig. 6 shows a block diagram of a terminal device according to an embodiment of the present invention, where the terminal device includes units for performing the steps in the corresponding embodiment of fig. 1. Please refer to fig. 1 and the related description of the embodiment corresponding to fig. 1. For convenience of explanation, only the portions related to the present embodiment are shown.
Referring to fig. 6, the terminal device includes:
a travel information acquisition unit 61 for acquiring travel information of a user; the travel information comprises a traffic shift and a planned departure time of the traffic shift;
a delay factor obtaining unit 62, configured to query a historical trip record and a current position of the traffic shift and obtain a current traffic congestion level if a difference between a current time and the planned departure time is less than a preset delay pre-judgment starting threshold;
a delay time calculation unit 63, configured to import the historical trip record, the current location, and the traffic congestion level into a delay time estimation model, and determine a delay time of the traffic shift;
A delay reminding execution unit 64, configured to push delay reminding information to a terminal of a user if the delay duration is greater than a delay reminding threshold; the delay reminding information comprises recommended departure time; and calculating the recommended departure time according to the planned departure time and the delay time.
Alternatively, the delay time length calculation unit 63 includes:
the multi-layer feedback loop neural network determining unit is used for acquiring a multi-layer feedback loop neural network matched with the traffic type based on the traffic type of the traffic shift;
the delay expected calculation unit is used for sequentially importing each history trip record into each level of the multi-layer feedback loop neural network according to the time sequence of the history trip record, and determining the current delay expected value of the traffic shift; the multilayer feedback loop neural network specifically comprises:
wherein h is 0 Is an initial delay expected value; x is x 1 、x 2 …x t Recording each history trip; h is a 1 、h 2 …h t - 1 Delay iteration intermediate values output by each level of the multi-layer feedback loop neural network; h is a t The current delay expected value of the traffic shift is obtained; w, U, b is an adjustment coefficient;
the delay time length determining unit is used for importing a delay time length determining function according to the delay expected value, the current position and the traffic congestion level, and calculating the delay time length of the traffic shift; the delay time length determining function specifically comprises the following steps:
y＝t(Vh t +U′Lv+b′Pst)
Wherein y is the delay time; lv is the congestion level; pst is the current position; v, U ', b' are delay adjustment coefficients.
Optionally, the terminal device further includes:
the sign-changing judging unit is used for determining estimated departure time of each candidate traffic shift based on the delay time if the delay time is greater than a sign-changing time threshold;
the change target shift selecting unit is used for selecting the candidate traffic shift with the smallest difference between the estimated departure time and the planned departure time as the change target shift;
and the change sign information sending unit is used for sending the change sign target shift to the terminal of the user.
Optionally, the delay factor acquisition unit 62 includes:
the road surface traffic determining unit is used for acquiring road surface congestion information of a round-trip path of the traffic shift if the traffic type of the traffic shift is a road surface traffic type, and determining the traffic congestion level based on the road surface congestion information;
the track traffic type determining unit is used for acquiring delay information of all the train numbers on the round-trip track of the traffic shift if the traffic type of the traffic shift is the track traffic type, and determining the traffic jam level based on the delay information;
And the flight traffic type determining unit is used for acquiring runway waiting information of an departure airport of the traffic shift if the traffic type of the traffic shift is a flight traffic type, and determining the traffic jam level based on the runway waiting information.
Optionally, the terminal device further includes:
acquiring the position information of the user;
and determining the delay reminding threshold value based on the position information and the traffic type of the traffic shift.
Therefore, the terminal equipment provided by the embodiment of the invention also does not need a user to wait for a long time at a departure hall, can reasonably arrange the departure time of the user, can finish other matters in the delay time, and can avoid the congestion of people at the departure hall.
Fig. 7 is a schematic diagram of a terminal device according to another embodiment of the present invention. As shown in fig. 7, the terminal device 7 of this embodiment includes: a processor 70, a memory 71 and a computer program 72, such as a travel reminder program, stored in the memory 71 and executable on the processor 70. The steps of the trip prompting method embodiments described above, such as S101 to S104 shown in fig. 1, are implemented when the processor 70 executes the computer program 72. Alternatively, the processor 70, when executing the computer program 72, performs the functions of the units in the above-described device embodiments, such as the functions of the modules 61 to 64 shown in fig. 6.
By way of example, the computer program 72 may be divided into one or more units, which are stored in the memory 71 and executed by the processor 70 to accomplish the present invention. The one or more units may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program 72 in the terminal device 7. For example, the computer program 72 may be divided into an appearance information acquisition unit, a delay factor acquisition unit, a delay time length calculation unit, and a delay reminder execution unit, each unit functioning specifically as described above.
The terminal device 7 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The terminal device may include, but is not limited to, a processor 70, a memory 71. It will be appreciated by those skilled in the art that fig. 7 is merely an example of the terminal device 7 and does not constitute a limitation of the terminal device 7, and may include more or less components than illustrated, or may combine certain components, or different components, e.g., the terminal device may further include an input-output device, a network access device, a bus, etc.
The processor 70 may be a central processing unit (Central Processing Unit, CPU), or may be another general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 71 may be an internal storage unit of the terminal device 7, such as a hard disk or a memory of the terminal device 7. The memory 71 may be an external storage device of the terminal device 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal device 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the terminal device 7. The memory 71 is used for storing the computer program as well as other programs and data required by the terminal device. The memory 71 may also be used for temporarily storing data that has been output or is to be output.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (8)
1. The travel reminding method is characterized by comprising the following steps of:
acquiring travel information of a user; the travel information comprises a traffic shift and a planned departure time of the traffic shift;
if the difference value between the current time and the planned departure time is smaller than a preset delay prejudging starting threshold value, inquiring the historical trip record and the current position of the traffic shift, and acquiring the current traffic jam level;
importing the historical trip record, the current position and the traffic congestion level into a delay time estimation model to determine delay time of the traffic shift;
If the delay time is greater than the delay reminding threshold, pushing delay reminding information to the user terminal; the delay reminding information comprises recommended departure time; the recommended departure time is calculated according to the planned departure time and the delay time;
the step of importing the historical trip record, the current position and the traffic congestion level into a delay time estimation model to determine the delay time of the traffic shift comprises the following steps:
based on the traffic type of the traffic shift, acquiring a multi-layer feedback loop neural network matched with the traffic type;
according to the time sequence of the history travel records, sequentially importing each history travel record into each level of the multi-layer feedback loop neural network, and determining the current delay expected value of the traffic shift; the multilayer feedback loop neural network specifically comprises:
wherein h is 0 Is an initial delay expected value; x is x 1 、x 2 …x t Recording each history trip; h is a 1 、h 2 …h t-1 Delay iteration intermediate values output by each level of the multi-layer feedback loop neural network; h is a t The current delay expected value of the traffic shift is obtained; w, U, b is an adjustment coefficient;
importing a delay time length determining function according to the delay expected value, the current position and the traffic congestion level, and calculating the delay time length of the traffic shift; the delay time length determining function specifically comprises the following steps:
y＝t(Vh t +U′Lv+b′Pst)
Wherein y is the delay time; lv is the congestion level; pst is the current position; v, U ′ And b' is a delay adjustment coefficient.
2. The travel reminding method according to claim 1, wherein after the delay reminding information is pushed to the terminal of the user if the delay time is greater than the delay reminding threshold, the travel reminding method further comprises:
if the delay time is greater than the change time threshold, determining estimated departure time of each candidate traffic shift based on the delay time;
selecting the candidate traffic shift with the smallest difference between the estimated departure time and the planned departure time as a change target shift;
and sending the change target shift to the user terminal.
3. The trip reminding method according to any one of claims 1-2, wherein if a difference between the current time and the planned departure time is smaller than a preset delay pre-judgment starting threshold, querying a historical trip record and a current position of the traffic shift and obtaining a current traffic congestion level comprises:
if the traffic type of the traffic shift is a road traffic type, road congestion information of a round-trip path of the traffic shift is obtained, and the traffic congestion level is determined based on the road congestion information;
If the traffic type of the traffic shift is a track traffic type, acquiring delay information of all the train numbers on a round-trip track of the traffic shift, and determining the traffic jam level based on the delay information;
and if the traffic type of the traffic class is a flight traffic type, acquiring runway waiting information of an departure airport of the traffic class, and determining the traffic jam level based on the runway waiting information.
4. The travel reminding method according to claim 1, further comprising, after the acquiring the travel information of the user:
acquiring the position information of the user;
and determining the delay reminding threshold value based on the position information and the traffic type of the traffic shift.
5. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring travel information of a user; the travel information comprises a traffic shift and a planned departure time of the traffic shift;
if the difference value between the current time and the planned departure time is smaller than a preset delay prejudging starting threshold value, inquiring the historical trip record and the current position of the traffic shift, and acquiring the current traffic jam level;
Importing the historical trip record, the current position and the traffic congestion level into a delay time estimation model to determine delay time of the traffic shift;
if the delay time length is greater than the delay reminding threshold value, pushing delay reminding information to a terminal of the user; the delay reminding information comprises recommended departure time; the recommended departure time is calculated according to the planned departure time and the delay time;
the step of importing the historical trip record, the current position and the traffic congestion level into a delay time estimation model to determine the delay time of the traffic shift comprises the following steps:
based on the traffic type of the traffic shift, acquiring a multi-layer feedback loop neural network matched with the traffic type;
according to the time sequence of the history travel records, sequentially importing each history travel record into each level of the multi-layer feedback loop neural network, and determining the current delay expected value of the traffic shift; the multilayer feedback loop neural network specifically comprises:
wherein h is 0 Is an initial delay expected value; x is x 1 、x 2 …x t Recording each history trip; h is a 1 、h 2 …h t-1 Delay iteration intermediate values output by each level of the multi-layer feedback loop neural network; h is a t The current delay expected value of the traffic shift is obtained; w, U, b is an adjustment coefficient;
importing a delay time length determining function according to the delay expected value, the current position and the traffic congestion level, and calculating the delay time length of the traffic shift; the delay time length determining function specifically comprises the following steps:
y＝t(Vh t +U′Lv+b′Pst)
wherein y is the delay time; lv is the congestion level; pst is the current position; v, U ′ And b' is a delay adjustment coefficient.
6. The terminal device of claim 5, wherein after pushing the deferred reminder message to the user's terminal if the delay is greater than the deferred reminder threshold, the processor when executing the computer program further performs the steps of:
if the delay time is greater than the change time threshold, determining estimated departure time of each candidate traffic shift based on the delay time;
selecting the candidate traffic shift with the smallest difference between the estimated departure time and the planned departure time as a change target shift;
and sending the change target shift to the terminal of the user.
7. The terminal device according to any one of claims 5-6, wherein if the difference between the current time and the planned departure time is smaller than a preset delay pre-judgment starting threshold, querying a historical trip record and a current position of the traffic shift, and obtaining a current traffic congestion level, includes:
If the traffic type of the traffic shift is a road traffic type, road congestion information of a round-trip path of the traffic shift is obtained, and the traffic congestion level is determined based on the road congestion information;
if the traffic type of the traffic shift is a track traffic type, acquiring delay information of all the train numbers on a round-trip track of the traffic shift, and determining the traffic jam level based on the delay information;
and if the traffic type of the traffic class is a flight traffic type, acquiring runway waiting information of an departure airport of the traffic class, and determining the traffic jam level based on the runway waiting information.
8. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 4.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810371576.7A CN108830543B (en) | 2018-04-24 | 2018-04-24 | Travel reminding method and terminal equipment |
| PCT/CN2018/096257 WO2019205306A1 (en) | 2018-04-24 | 2018-07-19 | Travel reminder method and terminal device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810371576.7A CN108830543B (en) | 2018-04-24 | 2018-04-24 | Travel reminding method and terminal equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108830543A CN108830543A (en) | 2018-11-16 |
| CN108830543B true CN108830543B (en) | 2023-04-28 |
Family
ID=64155131
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810371576.7A Active CN108830543B (en) | 2018-04-24 | 2018-04-24 | Travel reminding method and terminal equipment |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN108830543B (en) |
| WO (1) | WO2019205306A1 (en) |
Families Citing this family (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109670649A (en) * | 2018-12-27 | 2019-04-23 | 连尚（新昌）网络科技有限公司 | It is a kind of for providing user's method and apparatus of bus trip prompting message |
| CN109727098A (en) * | 2019-01-01 | 2019-05-07 | 唐伟 | A kind of high-speed railway back-stage management method based on information communication |
| CN109741033A (en) * | 2019-01-01 | 2019-05-10 | 唐伟 | A kind of information communication system of high-speed railway back-stage management |
| CN109558514B (en) * | 2019-01-08 | 2023-04-11 | 青岛聚看云科技有限公司 | Video recommendation method, device thereof, information processing equipment and storage medium |
| CN110033217A (en) * | 2019-03-22 | 2019-07-19 | 深圳市轱辘汽车维修技术有限公司 | Shipping method, server and storage medium based on shared boot |
| CN109887344A (en) * | 2019-04-19 | 2019-06-14 | 鄂尔多斯应用技术学院 | A kind of method of determining air station flight delay degree |
| CN109978282A (en) * | 2019-04-23 | 2019-07-05 | 深圳市元征科技股份有限公司 | A kind of trip based reminding method and relevant apparatus |
| CN110377825A (en) * | 2019-07-15 | 2019-10-25 | 腾讯科技（深圳）有限公司 | Content providing, device, equipment and storage medium |
| CN112541725A (en) * | 2019-09-20 | 2021-03-23 | 青岛海信移动通信技术股份有限公司 | Travel prompting method and travel prompting terminal |
| CN111144594B (en) * | 2019-11-25 | 2023-07-28 | 大众问问(北京)信息科技有限公司 | Departure time determining method, device and equipment |
| CN111047356B (en) * | 2019-11-29 | 2023-04-28 | 阿里巴巴集团控股有限公司 | Value evaluation method and device for traffic shifts |
| CN113449207B (en) * | 2020-03-24 | 2024-09-06 | 花瓣云科技有限公司 | Method, device, server, system and storage medium for positioning electronic equipment |
| CN112418998A (en) * | 2020-12-04 | 2021-02-26 | 飞友科技有限公司 | Air ticket purchasing method and system based on flight history delay and cancellation information |
| CN112633713B (en) * | 2020-12-28 | 2024-10-15 | 广州羊城通有限公司 | Risk area reminding method and device based on riding records |
| CN115018436B (en) * | 2021-11-16 | 2023-12-01 | 荣耀终端有限公司 | Travel reminding method and electronic equipment |
| CN114444163B (en) * | 2021-12-13 | 2024-10-22 | 中建五局安装工程有限公司 | Electromechanical construction method and system based on BIM technology |
| CN115017202B (en) * | 2021-12-17 | 2023-03-31 | 荣耀终端有限公司 | Duration reminding method and device |
| CN116468134A (en) * | 2022-01-10 | 2023-07-21 | 荣耀终端有限公司 | Stroke prompting method and device |
| CN115115312A (en) * | 2022-07-11 | 2022-09-27 | 智航信息服务(深圳)有限公司 | Flight delay early warning method and system |
| CN116758726B (en) * | 2023-07-13 | 2024-03-22 | 西藏金采科技股份有限公司 | Big data analysis method and system based on Internet of vehicles |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9140570B1 (en) * | 2011-09-08 | 2015-09-22 | Amazon Technologies, Inc. | Time-inclusive route and trip planning |
| CN107491517A (en) * | 2017-08-14 | 2017-12-19 | 携程旅游网络技术（上海）有限公司 | Change label method, system, equipment and storage medium based on event driven |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090105940A1 (en) * | 2007-10-23 | 2009-04-23 | Destinator Technologies, Inc. | Route calculation based on traffic events |
| EP2340411A1 (en) * | 2008-10-22 | 2011-07-06 | TomTom International B.V. | Navigation system and method for providing departure times |
| CN102855777A (en) * | 2012-08-27 | 2013-01-02 | 合肥飞友网络科技有限公司 | Flight delay possibility judgment method |
| CN103400053A (en) * | 2013-08-26 | 2013-11-20 | 合肥飞友网络科技有限公司 | Punctual flight takeoff forecasting method |
| CN106600224A (en) * | 2016-12-12 | 2017-04-26 | 北京小米移动软件有限公司 | Method and apparatus for planning itinerary |
| CN107526796B (en) * | 2017-08-17 | 2022-11-18 | 上海擎感智能科技有限公司 | Journey information pushing method and device, computer readable storage medium and terminal |
| CN107766987A (en) * | 2017-10-27 | 2018-03-06 | 携程旅游网络技术（上海）有限公司 | Scheduled Flight delay information method for pushing, system, storage medium and electronic equipment |
| CN107886301A (en) * | 2017-11-08 | 2018-04-06 | 维沃移动通信有限公司 | The based reminding method and device of a kind of transport information |
-
2018
- 2018-04-24 CN CN201810371576.7A patent/CN108830543B/en active Active
- 2018-07-19 WO PCT/CN2018/096257 patent/WO2019205306A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9140570B1 (en) * | 2011-09-08 | 2015-09-22 | Amazon Technologies, Inc. | Time-inclusive route and trip planning |
| CN107491517A (en) * | 2017-08-14 | 2017-12-19 | 携程旅游网络技术（上海）有限公司 | Change label method, system, equipment and storage medium based on event driven |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2019205306A1 (en) | 2019-10-31 |
| CN108830543A (en) | 2018-11-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108830543B (en) | Travel reminding method and terminal equipment | |
| Guo et al. | Joint optimization of vehicle trajectories and intersection controllers with connected automated vehicles: Combined dynamic programming and shooting heuristic approach | |
| US20190342704A1 (en) | Smart signaling of location updates for arrival estimation and generation of arrival alerts | |
| Tan et al. | Cycle-based queue length estimation for signalized intersections using sparse vehicle trajectory data | |
| KR101994631B1 (en) | System and method for managing supply of service | |
| US9122982B2 (en) | Device and method for destination prediction | |
| CN107438226B (en) | Order issuing processing method and server | |
| US11176812B2 (en) | Real-time service level monitor | |
| CN110784825B (en) | Method and device for generating vehicle running track | |
| Li | Traffic incident duration analysis and prediction models based on the survival analysis approach | |
| CN107945507A (en) | Travel Time Estimation Method and device | |
| KR20180013843A (en) | Order allocation system and method | |
| CN107230091B (en) | Car pooling request order matching method and device | |
| WO2019205278A1 (en) | Bus running state data adjustment processing method, smart terminal and storage medium | |
| US20140310192A1 (en) | Environmental stewardship based on driving behavior | |
| Zhang et al. | Optimal fleet size and fare setting in emerging taxi markets with stochastic demand | |
| Hofleitner et al. | Probability distributions of travel times on arterial networks: A traffic flow and horizontal queuing theory approach | |
| CN111859172B (en) | Information pushing method, device, electronic equipment and computer readable storage medium | |
| CN111582682B (en) | Vehicle scheduling method, device and terminal | |
| CN108876028B (en) | Public transport turnover time prediction method and device based on survival analysis | |
| Xianmin et al. | Optimization method for transit signal priority considering multirequest under connected vehicle environment | |
| CN110503822A (en) | The method and apparatus for determining traffic plan | |
| Zhao et al. | Modeling and optimizing urban bus transit considering headway variation for cost and service reliability analysis | |
| CN110349428B (en) | Method and device for identifying whether user is going to bus stop | |
| Gentile et al. | The theory of transit assignment: demand and supply phenomena |
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 |