CN111179626A - Bus taking recommendation method, mobile terminal and storage medium - Google Patents
Bus taking recommendation method, mobile terminal and storage medium Download PDFInfo
- Publication number
- CN111179626A CN111179626A CN201811341606.6A CN201811341606A CN111179626A CN 111179626 A CN111179626 A CN 111179626A CN 201811341606 A CN201811341606 A CN 201811341606A CN 111179626 A CN111179626 A CN 111179626A
- Authority
- CN
- China
- Prior art keywords
- user
- bus
- taking
- information
- station
- 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.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000004590 computer program Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 8
- 239000003086 colorant Substances 0.000 description 5
- 230000000694 effects Effects 0.000 description 2
- 206010027940 Mood altered Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000001815 facial effect Effects 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
- 230000000246 remedial effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
-
- G06Q50/40—
Abstract
The application discloses a bus taking recommendation method, which comprises the following steps: acquiring real-time position information of a user and riding habit information of the user; judging a pre-taking station and a pre-getting-off station of the user according to the real-time position information of the user and the riding habit information of the user; acquiring operation information of a plurality of paths of buses which are going to pass through the pre-taking station and directly or indirectly arrive at the pre-getting-off station according to the pre-taking station and the pre-getting-off station; and obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information, and outputting the first riding recommendation information. According to the method, the bus operation information suitable for the user to take can be pushed to the user without the need of the user to manually input and participate in query in the whole process, and the whole process is very intelligent, simple, convenient and fast. The application also provides a mobile terminal and a storage medium.
Description
Technical Field
The application relates to the technical field of travel, in particular to a bus taking recommendation method, a mobile terminal and a storage medium.
Background
At present, when a user takes a bus, the user generally needs to input a bus route through an APP to inquire the information of the bus (including arrival time, distance stop and the like) needing to take. And each path is searched once, or the arrival condition or the running condition of the pre-riding vehicle can be searched only by inputting the station or the destination of getting off and then selecting the station of getting off, so the process is complicated.
Disclosure of Invention
The application provides a bus taking recommendation method, a mobile terminal and a storage medium aiming at the technical problem that the bus inquiry process is complicated.
The technical scheme adopted by the application is as follows: the bus taking recommendation method comprises the following steps:
acquiring real-time position information of a user and riding habit information of the user;
judging a pre-taking station and a pre-getting-off station of the user according to the real-time position information of the user and the riding habit information of the user;
acquiring operation information of a plurality of paths of buses which are going to pass through the pre-taking station and directly or indirectly arrive at the pre-getting-off station according to the pre-taking station and the pre-getting-off station;
and obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information, and outputting the first riding recommendation information.
The present application further provides a mobile terminal, including: a processor, a memory, and a computer program stored on the memory, the processor coupled to the memory, the processor in operation executing the computer program to implement the bus ride recommendation method as described above.
The present application also provides a storage medium storing program data that, when executed, implements the bus ride recommendation method as described above.
In the method, the real-time position information of the user and the riding habit information of the user are obtained, and the pre-taking station and the pre-getting-off station of the user are judged according to the real-time position information of the user and the riding habit information of the user; then, according to the pre-taking station and the pre-getting-off station of the user, obtaining the operation information of the multi-path buses which are going to pass through the pre-taking station and directly or indirectly arrive at the pre-getting-off station; and finally, obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information, and outputting the first riding recommendation information. By adopting the technical scheme, the user does not need to actively inquire, but the real-time position of the user and the riding habits of the user are obtained, the real-time position of the user can know whether the user is relatively close to a bus stop or is approaching the bus stop, and the user can know which riding stop the user frequently gets on the bus and which getting off the bus stop according to the past riding habits of the user. The method comprises the steps of combining the information of the two aspects to actively obtain multi-path bus running information which is about to pass through a pre-bus station and directly or indirectly reach the pre-bus station, finally obtaining bus running information matched with the bus habits of a user from the multi-path bus running information to form first bus recommendation information, and outputting the first bus recommendation information to a user side.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a bus taking recommendation method according to the present application;
FIG. 2 is a schematic flow chart diagram illustrating another embodiment of a bus ride recommendation method according to the present application;
FIG. 3 is a schematic flow chart diagram illustrating a bus ride recommendation method according to yet another embodiment of the present application;
FIG. 4 is a schematic flow chart diagram illustrating a further embodiment of a bus ride recommendation method according to the present application;
FIG. 5 is a schematic flow chart diagram illustrating an embodiment of a bus taking recommendation method according to the present application;
FIG. 6 is a schematic structural diagram of an embodiment of a mobile terminal according to the present application;
FIG. 7 is a schematic structural diagram of an embodiment of a storage medium according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some of the structures related to the present application are shown in the drawings, not all of the structures. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, a schematic flow chart of a first embodiment of a bus taking recommendation method in an embodiment of the present application is shown, where the method includes steps 101 to 104, where:
step 101: and acquiring real-time position information of the user and riding habit information of the user.
The real-time position of the user is obtained, and whether the user is near a certain bus station or approaching the certain bus station can be judged according to the real-time position of the user. Specifically, the real-time location information of the user may be acquired at preset time intervals, for example, 5 minutes, 3 minutes, 1 minute, or 0.5 minute, and the like, which is not limited in particular. In different embodiments, the riding habit information of the user may be information of previous boarding stations, alighting stations, boarding time points, and the like of the user. It can be understood that the time for acquiring the riding habit information of the user each time may be longer than the preset time for acquiring the real-time position information of the user each time, for example, two days, one day, half a day, or three hours. In other embodiments, the time may be the same as the preset time for acquiring the real-time location information of the user each time, which is not specifically limited, and may be set according to the actual situation.
102, step (b): and judging the pre-taking station and the pre-getting-off station of the user according to the real-time position information of the user and the riding habit information of the user.
According to the real-time position information of the user, the user can know the information of the position of the user near the bus stop or bus stops nearby, whether the user leaves the bus stop nearby at a certain position and approaches the bus stop, and the like. For example, the user position at the last time point or the previous time point, and the user positions at the last time point and the current time point or the current time point are both farther and farther from an original continuous location (for example, a company) of the user and are close to a certain bus stop, it may be preliminarily determined that the user may need to take a bus. And then, judging the pre-taking station and the pre-getting-off station of the user according to the riding habit information of the user.
It can be understood that, in different time periods and different places, the riding habits of the users are different, for example, activities of the users on Monday to Friday are on duty, riding tracks are basically company-to-home and company-to-home, and riding time points and riding sites are basically fixed. Also for example on weekends, the user often goes to a gym sport, or goes to a location to engage in an activity, e.g. often sending her/his child to engage in a remedial class, etc. Therefore, each user generally has a riding habit of himself, and often has a relatively fixed getting-on station and a relatively fixed getting-off station in different time periods and different places. Therefore, the station of getting on the bus in advance and the station of getting off the bus in advance of the user can be judged according to the real-time position information of the user and the riding habit information of the user. For example, if the real-time location information of the user is obtained as the location information of the user is near the company, and the user is leaving the company, and is near the time of leaving work or the time after leaving work, it can be determined that the user may want to go home at this time, should get on at the bus stop a, and may get off at the bus stop B, by further combining the past riding habits of the user. And if the real-time position information of the user is acquired to be near the company and leave the company, and the user is not the time of work or the time after work. At this time, by further combining the riding habit information of the user, if it is known from the riding habit information of the user that the user frequently goes to a place (for example, attend a certain meeting, and hold at regular intervals) in the time period, the pre-boarding station and the pre-alighting station of the user can be determined.
And if the riding record of the user at the time point and nearby is not known in combination with the riding habit information of the user, taking the riding station which is most frequently done by the user nearby the user and the corresponding user getting-off station as the pre-riding station and the pre-getting-off station of the user.
103: and acquiring the operation information of the multiple buses which are going to pass through the pre-bus station and directly or indirectly arrive at the pre-get-off station according to the pre-bus station and the pre-get-off station.
The pre-taking station and the pre-getting-off station of the user can be obtained through the step 102, so that the traveling direction of the bus suitable for the user to take is known, and the operation information of the multi-path bus which is going to pass through the pre-taking station and directly or indirectly reaches the pre-getting-off station is obtained. It is understood that the passing refers to the operation information of the bus which has sent but has not passed the station where the user has taken the bus in advance. Specifically, the operation information may include one or more of a vehicle route, a license plate, a current location, a number of stations away from a pre-taking station of the user, and a pre-taking station of the user expected to be several minutes.
104: and obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information and outputting the first riding recommendation information.
The operation information of the multiple buses which have sent but have not passed the station where the user is going to get off in advance and can directly or indirectly reach the station where the bus is getting off in advance is obtained according to the step 103. And 4, extracting the public transportation operation information of the vehicle matched with the riding habits of the user according to the riding habits of the user to form first riding recommendation information. The first riding recommendation information comprises one or more items of information of a vehicle route, a license plate, a current position, a plurality of stations away from a pre-riding station of a user, and a pre-riding station of the user within a predicted period of several minutes, so that a client can quickly browse the condition that the vehicle is about to arrive at the station and prepare for riding. Optionally, in the first riding recommendation information, the operation information of all buses meeting the conditions acquired in step 103 may be displayed, or only a few pieces of operation information of buses meeting the conditions and arriving at the pre-riding stop immediately may be displayed without being displayed completely, which is not limited specifically.
Further, in an embodiment, according to the riding habits of the user, the vehicles frequently taken by the user are placed in front, or the classified display of the frequently-taken or the abnormally-taken vehicles is performed, so that the user can preferentially check the frequently-taken vehicles, and the method is more convenient and faster.
Optionally, in different embodiments, the formed first riding recommendation information may be sent to the user terminal in a floating manner, a negative one-screen manner, or a short message manner, which is not specifically limited. In another embodiment, the user can also send a preset public number, and the user can see the information by opening the information without sending a query request, so that the method is very convenient and fast. By adopting the method, the arrival condition of the bus suitable for the user/passenger can be known without manually inputting and participating in query in the whole process, and the whole process is very intelligent, simple and convenient.
Optionally, in an embodiment, the first ride recommendation information includes at least one of reversing, refreshing, inputting a time period, or inputting a bus route or a destination for selection by a user. By adopting the technical scheme, a user can know the condition of the reverse vehicle according to the self requirement, or can refresh and know the current latest state after waiting for a period of time. Or inputting a bus route or a destination to know the running conditions of other related buses. And obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information, and outputting the first riding recommendation information, wherein the method further comprises the following steps: and acquiring the latest touch instruction of the user, forming final recommendation information and feeding the final recommendation information back to the user terminal. After receiving the instruction input by the user, obtaining the latest touch instruction of the user, forming the corresponding final recommendation information and feeding back the recommendation information to the user terminal, so that the user can know more situations.
Referring to fig. 2, a flowchart of a second embodiment of the bus taking recommendation method according to the present application is shown, and the difference between the embodiment and the first embodiment is that the first taking recommendation information in the embodiment includes buses in multiple routes, and further, a congestion condition of the buses in multiple routes from a pre-taking stop to a pre-getting-off stop is considered. Specifically, the embodiment includes steps 201 to 206, where steps 201 to 204 are respectively consistent with steps 101 to 104 in the first embodiment, and are not described herein again.
Step 201: and acquiring real-time position information of the user and riding habit information of the user.
Step 202: and judging the pre-taking station and the pre-getting-off station of the user according to the real-time position information of the user and the riding habit information of the user.
Step 203: and acquiring the operation information of the multiple buses which are to pre-ride the station points and directly or indirectly arrive at the pre-alighting station according to the pre-ride station points and the pre-alighting station.
Step 204: and obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information.
Step 205: and acquiring the congestion condition of the buses of the multiple lines from the pre-taking station to the pre-getting-off station.
It will be appreciated that road congestion tends to vary from route to route, from time period to time period, or from time period to time period. Step 205 further obtains the congestion status of the buses in the multiple routes from the pre-boarding station to the pre-alighting station, so that a smoother route can be recommended to the user, or the congestion status is notified to the user, so that the user can know the congestion status in advance.
Step 206: obtaining recommended bus running information which is matched with the bus taking habits of the user and can avoid congestion from the operation information of the multi-path buses to form second bus taking recommended information and outputting the second bus taking recommended information; the second taking recommendation information comprises congestion conditions of buses of multiple lines from a pre-taking station to a pre-getting-off station.
Specifically, the second riding recommendation information includes, in addition to the first riding information, congestion situations from the pre-getting-on station to the pre-getting-off station corresponding to the plurality of routes of the buses in the first riding information, for example, words such as very smooth, congested, very congested, and severe congestion, or congestion situations displayed by patterns of different colors, for example, green indicates smooth, orange indicates that color is darker and smoother, orange indicates that there is some congestion, red indicates severe congestion, and orange or red color is darker and indicates that congestion is more severe. The congestion condition of the buses with multiple lines from the station of taking the bus in advance to the station of getting off the bus in advance can furthest avoid the situation of the bus being blocked for the user, and the method is more intelligent and more humanized.
It can be understood that in the embodiment, only the second riding recommendation information is sent to the terminal of the user, instead of sending the second riding recommendation information once after sending the first riding recommendation information, so that the user is prevented from feeling dislike due to too much information.
Referring to fig. 3, a flowchart of a third embodiment of the bus taking recommendation method according to the present application is shown, and the difference between the embodiment and the first embodiment is that the first taking recommendation information in the embodiment includes buses in multiple routes, and further a path congestion condition before the buses in multiple routes reach a pre-taking station is considered. Specifically, the embodiment includes steps 301 to 306, wherein steps 301 to 304 are respectively consistent with steps 101 to 104 in the first embodiment, which is not described herein again.
Step 301: and acquiring real-time position information of the user and riding habit information of the user.
Step 302: and judging the pre-taking station and the pre-getting-off station of the user according to the real-time position information of the user and the riding habit information of the user.
Step 303: and acquiring the operation information of the multiple buses which are to pre-ride the station points and directly or indirectly arrive at the pre-alighting station according to the pre-ride station points and the pre-alighting station.
Step 304: and obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information.
Step 305: and acquiring the congestion condition of the paths of the buses in the multiple lines before the buses arrive at the pre-taking station.
It will be appreciated that road congestion tends to vary from route to route, from time period to time period, or from time period to time period. Step 205 further obtains the congestion status of the bus with the multiple routes from the current position to the pre-riding station of the user, so that a smoother route can be recommended to the user, or the congestion status is notified to the user, so that the user can know the congestion status in advance.
Step 306: combining the congestion conditions of the paths of the buses with the multiple lines before the buses arrive at the pre-taking station point to form third taking recommendation information, and outputting the third taking recommendation information; the third riding recommendation information comprises the path congestion situation before the buses on the multiple lines arrive at the pre-riding station.
Specifically, the second riding recommendation information includes, in addition to the first riding information, congestion conditions of a section from the current position to a pre-riding station point of the user corresponding to the plurality of routes of buses in the first riding information, for example, words such as very smooth, congested, very congested, and severe congestion, or congestion conditions displayed by patterns of different colors, for example, green indicates smooth, orange indicates that color is darker and smoother, orange indicates that there is some congestion, red indicates severe congestion, and orange or red color is darker and indicates that congestion is more severe. It is understood that in another embodiment, in order to distinguish the colors defined in the second embodiment and avoid confusion, the colors used in the second embodiment may be different from the colors used in the first embodiment. It can be understood that the congestion condition of the bus from the current position to the pre-taking station of the user and the congestion condition of the road section between the pre-taking station and the pre-getting-off station in the process can also be respectively displayed at different positions. The congestion condition of the buses of the multiple lines in the third bus taking recommendation information from the station of the pre-taking bus to the station of the pre-getting off bus can furthest enable the user to know which buses are possibly waiting for a long time, for example, other buses come first, and the user can get on the bus first to avoid waiting for a long time even if the buses are congested. If the user waits with the option, the user does not feel disappointed too much because the user waits too long because the user knows the situation in advance.
It can be understood that in the embodiment, only the third riding recommendation information is sent to the terminal of the user, instead of sending the third riding recommendation information once after sending the first riding recommendation information, so that the user is prevented from feeling dislike due to too much information.
Referring to fig. 4, a flowchart of a fourth embodiment of the bus taking recommendation method according to the present application is shown, and the difference between this embodiment and the first embodiment is that the first taking recommendation information in this embodiment includes multiple-route buses, and further considers the number of people on the multiple-route buses that are about to arrive at the pre-taking stop of the user. Specifically, the embodiment includes steps 401 to 406, where steps 401 to 404 are respectively consistent with steps 101 to 104 in the first embodiment, and are not described herein again.
Step 401: and acquiring real-time position information of the user and riding habit information of the user.
Step 402: and judging the pre-taking station and the pre-getting-off station of the user according to the real-time position information of the user and the riding habit information of the user.
Step 403: and acquiring the operation information of the multiple buses which are to pre-ride the station points and directly or indirectly arrive at the pre-alighting station according to the pre-ride station points and the pre-alighting station.
Step 404: and obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information.
Step 405: the number of people on each bus of the buses with multiple routes is obtained from a bus system.
It can be understood that the number of people on buses on different lines is different, for example, buses on some lines pass through a plurality of stops before arriving at the pre-taking stop of a user, and more people get on the bus in the midway than get off the bus, so that the number of people on the bus on the line is more. And some lines of buses are closer to the starting station with respect to the pre-taking station of the user, so that no bus is available on the current bus or more passengers are available midway, and the number of passengers on the bus on the line is less. It can be understood that each bus is provided with a camera, images or pictures captured by the cameras can be obtained, and the specific images or pictures display the positions on the bus where passengers can sit or stand. Or the bus is provided with a facial recognition statistical component capable of counting the head of a person, and the like, which is not particularly limited.
Step 406: forming fourth riding recommendation information according to the current number of people on each bus of the buses with multiple routes, and outputting the fourth riding recommendation information; the fourth riding recommendation information comprises the current number of people on each bus of the buses with multiple routes.
Specifically, each route recommended to the user in the fourth riding recommendation information shows the corresponding number of people on the bus behind the bus, so that the user can know which bus comes first, which bus comes later, whether the people on the bus are many or not, whether the people can be crowded or not, whether seats exist or not, and the like, and the user can make a selection which is most suitable for the user according to the situation of the user.
Referring to fig. 5, a flowchart of a fifth embodiment of the bus taking recommendation method according to the present application is shown, and the difference between this embodiment and the first embodiment is that the first taking recommendation information in this embodiment includes buses in multiple routes, and further considers whether the user has a wrong waiting situation. Specifically, the embodiment includes steps 501 to 506, where steps 501 to 504 are respectively consistent with steps 101 to 104 in the first embodiment, and are not described herein.
Step 501: and acquiring real-time position information of the user and riding habit information of the user.
Step 502: and judging the pre-taking station and the pre-getting-off station of the user according to the real-time position information of the user and the riding habit information of the user.
Step 503: and acquiring the operation information of the multiple buses which are to pre-ride the station points and directly or indirectly arrive at the pre-alighting station according to the pre-ride station points and the pre-alighting station.
Step 504: and obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information.
Step 505: and judging whether the current position of the user is on the same side as the pre-getting-on station or not according to the pre-getting-off station and the riding habit information of the user.
It can be understood that sometimes the user is in bad mood, or the region is not very mature, or the direction sense is poor, or the user is hesitant to wait for the bus due to other reasons, and the like, and at this time, whether the current position of the user is on the same side as the pre-taking station or not can be judged according to the pre-getting-off station of the user and the riding habit information of the user. The implementation positions of the user are collected for multiple times, and if the results detected for multiple times show that the user is at a bus stop, the user is judged to wait at the bus stop at the moment. It can be understood that present location data are all more accurate, can judge the user and wait the car on which limit from the location data that detect.
Step 506: and if the current position of the user is not on the same side with the station point of the pre-passenger station, forming reverse reminding information and sending the reverse reminding information to the user terminal.
Specifically, the reverse reminding message may be a text reminder or a voice broadcast, for example, if you go to a certain direction, please wait on the opposite side of the road, or the direction is a direction to drive to a certain station, for example, please wait on the opposite side of the road in the reverse direction. According to the embodiment, the problem of the reverse direction of waiting can be avoided.
It can be understood that sometimes a user may fall asleep too much when making a bus, or handles something on the bus more attentive, resulting in a situation that the user is about to get to a station without knowing, resulting in easy station-crossing, in an embodiment, the first riding recommendation information includes buses in multiple routes, and the step of obtaining bus operation information matching the riding habits of the user from the multiple routes of bus operation information to form the first riding recommendation information includes: and obtaining the current position of the user at preset time intervals, estimating the distance between the current position of the user and the station to get off the bus, and forming get-off reminding information and sending the get-off reminding information to the user terminal if the current position of the user and the distance between the stations to get off the bus are smaller than preset values. Specifically, the number of stations apart from the pre-alighting station of the user may be one station or multiple stations, and the path distance between each station and the current road congestion condition may also be considered to be set, or adjusted in time. For example, if the current position is very congested up to the station where the user gets off in advance, the number of stations can be reduced, and if the current position is very smooth up to the station where the user gets off in advance, the get-off reminding information can be sent by several stations in advance, which is not particularly limited.
Specifically, the getting-off reminding information may be a voice reminding, a floating window reminding, a song playing, a vibration mode of the mobile terminal, or a combination of the above reminding modes, which is not specifically limited.
The present application further provides a mobile terminal 100, as shown in fig. 6, which is a schematic structural diagram of an embodiment of the mobile terminal 100, the mobile terminal 100 includes a processor 10, a memory 20, and a computer program stored in the memory, and the processor 10 is coupled to the memory 20. The processor 10 executes a computer program to implement the bus ride recommendation method described in the above embodiments when operating. Specifically, the mobile terminal may be a wearable device such as a mobile phone, a tablet computer, or a bracelet.
Referring to fig. 7, the present application further provides a storage medium 200 storing program data 30, wherein the program data 30, when executed, implements the bus riding recommendation method described in the above embodiments. Embodiments of the present application may be implemented in software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A bus taking recommendation method is characterized by comprising the following steps:
acquiring real-time position information of a user and riding habit information of the user;
judging a pre-taking station and a pre-getting-off station of the user according to the real-time position information of the user and the riding habit information of the user;
acquiring operation information of a plurality of paths of buses which are going to pass through the pre-taking station and directly or indirectly arrive at the pre-getting-off station according to the pre-taking station and the pre-getting-off station;
and obtaining the bus running information matched with the riding habits of the user from the multi-path bus running information to form first riding recommendation information, and outputting the first riding recommendation information.
2. The bus taking recommendation method according to claim 1, wherein the first taking recommendation information comprises a plurality of routes of buses, and the step of obtaining bus operation information matching the taking habits of the user from the plurality of routes of bus operation information to form the first taking recommendation information comprises the following steps:
acquiring the congestion condition of the buses with the multiple lines from the pre-taking station to the pre-getting-off station;
obtaining recommended bus running information which is matched with the bus taking habits of the user and can avoid congestion from the multi-path bus running information to form second bus taking recommended information, and outputting the second bus taking recommended information; the second taking recommendation information comprises the congestion condition of the buses in the multiple lines from the pre-taking station to the pre-getting-off station.
3. The bus taking recommendation method according to claim 1, wherein the first taking recommendation information comprises a plurality of routes of buses, and the step of obtaining bus operation information matching the taking habits of the user from the plurality of routes of bus operation information to form the first taking recommendation information comprises the following steps:
acquiring the congestion condition of a path from a bus with a plurality of lines to the pre-taking station;
combining the congestion situation of the paths from the buses with the multiple lines to the pre-taking station point to form third taking recommendation information and outputting the third taking recommendation information; and the third riding recommendation information comprises the path congestion condition before the buses on the multiple lines arrive at the pre-riding station.
4. The bus taking recommendation method according to claim 1, wherein the first taking recommendation information comprises a plurality of routes of buses, and the step of obtaining bus operation information matching the taking habits of the user from the plurality of routes of bus operation information to form the first taking recommendation information comprises the following steps:
acquiring the current number of people on each bus of the buses with multiple routes from a bus system;
forming fourth riding recommendation information according to the current number of people on each bus of the buses with multiple routes, and outputting the fourth riding recommendation information; and the fourth riding recommendation information comprises the current number of people on each bus of the buses with multiple routes.
5. The bus taking recommendation method according to claim 1, wherein the first taking recommendation information comprises a plurality of routes of buses, and the step of obtaining bus operation information matching the taking habits of the user from the plurality of routes of bus operation information to form the first taking recommendation information comprises the following steps:
judging whether the current position of the user is on the same side as the pre-boarding station or not according to the pre-alighting station and the riding habit information of the user;
and if the current position of the user is not on the same side with the pre-taking station point, forming reverse reminding information and sending the reverse reminding information to the user terminal.
6. The bus taking recommendation method according to claim 1, wherein the first taking recommendation information comprises a plurality of routes of buses, and the step of obtaining bus operation information matching the taking habits of the user from the plurality of routes of bus operation information to form the first taking recommendation information comprises the following steps:
the method comprises the steps of obtaining the current position of a user at preset time intervals, estimating the distance between the current position of the user and a pre-getting-off station, and forming getting-off reminding information and sending the getting-off reminding information to a user terminal if the current position of the user and the distance between the pre-getting-off station and the user are smaller than preset values.
7. The bus taking recommendation method according to claim 1, wherein the first taking recommendation information comprises at least one option selected by a user from a reverse direction, a reversing direction, a refreshing direction, an input time period, an input bus route or a destination, and the step of obtaining bus operation information matching the taking habits of the user from the multiple paths of bus operation information to form first taking recommendation information and outputting further comprises:
and acquiring the latest touch instruction of the user, forming final recommendation information and feeding the final recommendation information back to the user terminal.
8. The bus taking recommendation method according to claim 1, wherein the first taking recommendation information is sent to the user terminal in a floating message mode, a negative one-screen mode or a short message mode.
9. A mobile terminal, comprising:
a processor, a memory and a computer program stored on the memory, the processor coupled to the memory, the processor in operation executing the computer program to implement the bus ride recommendation method of any of claims 1-8.
10. A storage medium storing program data that when executed implements a bus ride recommendation method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811341606.6A CN111179626A (en) | 2018-11-12 | 2018-11-12 | Bus taking recommendation method, mobile terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811341606.6A CN111179626A (en) | 2018-11-12 | 2018-11-12 | Bus taking recommendation method, mobile terminal and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111179626A true CN111179626A (en) | 2020-05-19 |
Family
ID=70649843
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811341606.6A Withdrawn CN111179626A (en) | 2018-11-12 | 2018-11-12 | Bus taking recommendation method, mobile terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111179626A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113284362A (en) * | 2021-05-19 | 2021-08-20 | 中国联合网络通信集团有限公司 | Bus scheduling method, device, equipment and storage medium |
| CN113628474A (en) * | 2021-08-09 | 2021-11-09 | 百度在线网络技术（北京）有限公司 | Bus arrival station identification method and device, electronic equipment and readable storage medium |
| CN114046797A (en) * | 2021-11-09 | 2022-02-15 | 北京百度网讯科技有限公司 | Method and device for selecting bus station for bus navigation |
| CN114697384A (en) * | 2020-12-28 | 2022-07-01 | 博泰车联网(南京)有限公司 | Service vehicle message pushing method and device, electronic equipment and storage medium |
| CN114764969A (en) * | 2021-01-15 | 2022-07-19 | 中国联合网络通信集团有限公司 | Subway direction sit-up-down reminding method and system, computer equipment and storage medium |
| CN116709215A (en) * | 2023-06-09 | 2023-09-05 | 武汉江汉城市科技发展有限公司 | Method, equipment and storage medium for reminding messages of public transportation |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102446179A (en) * | 2010-10-09 | 2012-05-09 | Tcl集团股份有限公司 | Bus line inquiry method |
| CN103106702A (en) * | 2012-12-20 | 2013-05-15 | 青岛海信网络科技股份有限公司 | Bus trip service system based on cloud computing |
| CN104537878A (en) * | 2014-12-26 | 2015-04-22 | 青岛文创科技有限公司 | Public bus voice announcement method and system with vehicle starting warning function |
| CN105069735A (en) * | 2015-07-07 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Method and apparatus of obtaining real-time train information |
| US20170178044A1 (en) * | 2015-12-21 | 2017-06-22 | Sap Se | Data analysis using traceable identification data for forecasting transportation information |
| CN107339999A (en) * | 2017-06-28 | 2017-11-10 | 维沃移动通信有限公司 | A kind of information prompting method and mobile terminal |
| CN108023924A (en) * | 2016-10-31 | 2018-05-11 | 财付通支付科技有限公司 | A kind of information processing method, terminal and server |
| CN108053356A (en) * | 2017-11-03 | 2018-05-18 | 深圳信息职业技术学院 | Based reminding method, device, terminal and the storage medium of public transit vehicle congested conditions |
-
2018
- 2018-11-12 CN CN201811341606.6A patent/CN111179626A/en not_active Withdrawn
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102446179A (en) * | 2010-10-09 | 2012-05-09 | Tcl集团股份有限公司 | Bus line inquiry method |
| CN103106702A (en) * | 2012-12-20 | 2013-05-15 | 青岛海信网络科技股份有限公司 | Bus trip service system based on cloud computing |
| CN104537878A (en) * | 2014-12-26 | 2015-04-22 | 青岛文创科技有限公司 | Public bus voice announcement method and system with vehicle starting warning function |
| CN105069735A (en) * | 2015-07-07 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Method and apparatus of obtaining real-time train information |
| US20170178044A1 (en) * | 2015-12-21 | 2017-06-22 | Sap Se | Data analysis using traceable identification data for forecasting transportation information |
| CN108023924A (en) * | 2016-10-31 | 2018-05-11 | 财付通支付科技有限公司 | A kind of information processing method, terminal and server |
| CN107339999A (en) * | 2017-06-28 | 2017-11-10 | 维沃移动通信有限公司 | A kind of information prompting method and mobile terminal |
| CN108053356A (en) * | 2017-11-03 | 2018-05-18 | 深圳信息职业技术学院 | Based reminding method, device, terminal and the storage medium of public transit vehicle congested conditions |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114697384A (en) * | 2020-12-28 | 2022-07-01 | 博泰车联网(南京)有限公司 | Service vehicle message pushing method and device, electronic equipment and storage medium |
| CN114697384B (en) * | 2020-12-28 | 2023-09-26 | 博泰车联网(南京)有限公司 | Service vehicle message pushing method and device, electronic equipment and storage medium |
| CN114764969A (en) * | 2021-01-15 | 2022-07-19 | 中国联合网络通信集团有限公司 | Subway direction sit-up-down reminding method and system, computer equipment and storage medium |
| CN114764969B (en) * | 2021-01-15 | 2023-10-31 | 中国联合网络通信集团有限公司 | Subway direction sitting-back reminding method, subway direction sitting-back reminding system, computer equipment and storage medium |
| CN113284362A (en) * | 2021-05-19 | 2021-08-20 | 中国联合网络通信集团有限公司 | Bus scheduling method, device, equipment and storage medium |
| CN113628474A (en) * | 2021-08-09 | 2021-11-09 | 百度在线网络技术（北京）有限公司 | Bus arrival station identification method and device, electronic equipment and readable storage medium |
| CN114046797A (en) * | 2021-11-09 | 2022-02-15 | 北京百度网讯科技有限公司 | Method and device for selecting bus station for bus navigation |
| CN116709215A (en) * | 2023-06-09 | 2023-09-05 | 武汉江汉城市科技发展有限公司 | Method, equipment and storage medium for reminding messages of public transportation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111179626A (en) | Bus taking recommendation method, mobile terminal and storage medium | |
| US10302444B2 (en) | Information processing system and control method | |
| US20170349184A1 (en) | Speech-based group interactions in autonomous vehicles | |
| CN106779141B (en) | Method and device for recommending boarding place | |
| CN104428826B (en) | Central network for automated control of vehicular traffic | |
| US10223719B2 (en) | Identity authentication and verification | |
| US10917752B1 (en) | Connected services configurator | |
| JP4980737B2 (en) | Vehicle information presentation device | |
| US20180322413A1 (en) | Network of autonomous machine learning vehicle sensors | |
| US20180356237A1 (en) | Enhanced navigation instruction and user determination | |
| CN109425355A (en) | Recommended method of navigating and system, car-mounted terminal and vehicle | |
| US20100179753A1 (en) | Estimating Time Of Arrival | |
| CN108615140B (en) | Travel reminding method and device and storage medium | |
| JPWO2018061354A1 (en) | Information providing apparatus and mobile unit | |
| CN109690601B (en) | Information providing device and moving object | |
| CN108446786B (en) | Information processing method and device and electronic equipment | |
| WO2017100790A1 (en) | Enhanced navigation instruction and user determination | |
| US20140184428A1 (en) | Interactive management of a parked vehicle | |
| JP7449823B2 (en) | Rider support device, passenger support method, and program | |
| US11109190B2 (en) | Information provision method and information provision device for providing guidance | |
| CN111177584A (en) | Method for acquiring real-time information of bus, mobile terminal and storage medium | |
| US20190287075A1 (en) | Information processing method and information processor | |
| WO2018057036A1 (en) | Selective ride sharing | |
| CN111422150A (en) | Vehicle voice broadcasting method and vehicle-mounted terminal | |
| JP7013729B2 (en) | Relationship estimation method, relationship estimation device, and information provision method |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200519 |