CN106448135A - Bus route recommendation method and device - Google Patents
Bus route recommendation method and device Download PDFInfo
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- CN106448135A CN106448135A CN201610874849.0A CN201610874849A CN106448135A CN 106448135 A CN106448135 A CN 106448135A CN 201610874849 A CN201610874849 A CN 201610874849A CN 106448135 A CN106448135 A CN 106448135A
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Classifications
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- 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
- G08G1/127—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 to a central station ; Indicators in a central station
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- G06Q50/40—
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
-
- 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
Abstract
The invention provides a bus route recommendation method and device. The method comprises the following steps: obtaining request time, a starting point and a terminal point of a real-time bus retrieval request of a user; according to the starting point and the terminal point, determining at least two bus routes that the user can take and identification of each bus of each bus route; for each bus route, according to the request time and obtained bus coming information as well as the crowdedness degree value of each bus corresponding to the corresponding identification thereof at each preset time section, obtaining crowdedness degree value of each bus taken in the corresponding bus route; and according to the crowdedness degree value of each bus taken in the corresponding bus route, recommending a bus route to the user. According to the technical scheme, the device and method can also recommend the bus route to the users according to the crowdedness degree value of each bus taken in the corresponding bus route, thereby further enriching information provided by a real-time bus service and enriching the function of the real-time bus service.
Description
【Technical field】
The present invention relates to electronic public processing technology field, and more particularly, to a kind of bus routes recommend method and device.
【Background technology】
With the fast development of intelligent terminal and computer technology, emerge many uses answering on intelligent terminal
With having greatly facilitated the life of people.
For example, for the ease of the planned trip of user, real-time bus service has been exited in existing a lot of application service commercial cities,
Real-time Bus information can be provided the user, the real-time bus service having at present passes through in the related trip application such as map,
User uses and is convenient to.For example, normal conditions, when user prepares outgoing, when first opening real-time bus service in advance, check
The public bus network that can take.And existing real-time bus service can position the current position of user, user will get on the bus
Station.Bus service is also connected with the scheduling system of public transport company in real time simultaneously, can get the public affairs that user will take
Car is handed over to also have several stations to reach the station that user will get on the bus, and more than time-consuming.User can carrying according to real-time bus service
Show that information is carried out trip and arranged, be that the trip of user brings very big convenience.
But the information content that existing real-time bus service provides is more single.
【Content of the invention】
The invention provides a kind of bus routes recommend method and device, for enriching the information that real-time bus service provides
Content.
The present invention provides a kind of public bus network to recommend method, and methods described includes：
Obtain the request time of real-time public transport retrieval request, starting point and the terminal of user；
According to described starting point and described terminal, determine at least two public bus networks that described user can take and each described
The mark of the buses that public bus network includes；
For each described public bus network, according to described request time and the public transport that obtains come car information and each road institute
That states buses identifies the degree of crowding value in each preset period of time for the corresponding described buses, obtains in described public bus network and takes
Buses described in each road degree of crowding value；
According to the degree of crowding value taking buses described in each road in each described public bus network, recommend institute to described user
State public bus network.
Still optionally further, in method as above, for each described public bus network, according to described request time with obtain
Public transport come car information and buses described in each road to identify corresponding described buses crowded in each preset period of time
Degree value, obtains the degree of crowding value of the buses described in each road taken in described public bus network, specifically includes：
For each described public bus network, according to described request time and the public transport that obtains carry out car information, determine described use
The time period of the buses described in each road that family is taken in described public bus network；
Described in the time period of buses described in each road taken in described public bus network according to described user and each road
The corresponding described buses of mark of buses, in the degree of crowding value of each described preset period of time, obtain in described public bus network and take advantage of
The degree of crowding value of buses described in Zuo Ge road.
Still optionally further, in method as above, according to the public transport described in each road taken in each described public bus network
The degree of crowding value of car, recommends described public bus network to described user, specifically includes：
According to the degree of crowding value taking buses described in each road in each described public bus network, calculate each described public transport line
The comfortable angle value on road；
According to the comfortable angle value of each described public bus network, recommend described public bus network to described user.
Still optionally further, in method as above, according to the public transport described in each road taken in each described public bus network
The degree of crowding value of car, calculates the comfortable angle value of each described public bus network, specifically includes：
The degree of crowding value taking buses described in each road in each described public bus network is multiplied；
The result of multiplication is taken the logarithm, as the comfortable angle value of corresponding described public bus network.
Still optionally further, in method as above, according to the comfortable angle value of each described public bus network, to described user
Recommend described public bus network, specifically include：
By the comfortable angle value of each described public bus network according to sorting from big to small；
According to described comfortable angle value order from big to small, recommend public bus network described at least one to described user.
Still optionally further, in method as above, according to described request time and obtain public transport come car information,
And buses described in each road identify the degree of crowding value in each preset period of time for the corresponding described buses, obtain each described public affairs
Before the degree of crowding value of buses described in each road taken in intersection road, methods described also includes：
According to the history brushing card data of buses, determine that described in each road, buses are in the peak load of peak time；
The peak load of buses according to each road, is buses setting degree of crowding information described in each road, described gathers around
Crowded degree information includes at least three degree of crowding values of buses described in each road, and each described degree of crowding value is corresponding
Flow of the people is interval；
According to the history brushing card data of described buses, excavate buses described in each road in the artificial abortion of each described preset period of time
Amount；
According to each road, buses are in the crowded journey of the flow of the people of each described preset period of time and buses described in each road
Degree information, determines the degree of crowding value in each described preset period of time for the buses described in each road.
The present invention also provides a kind of public bus network recommendation apparatus, and described device includes：
Back ground Information acquisition module, for obtaining request time, starting point and the end of the real-time public transport retrieval request of user
Point；
Determining module, for according to described starting point and described terminal, determining at least two public affairs that described user can take
The mark of the buses that intersection road and each described public bus network include；
Degree of crowding acquisition module, for for each described public bus network, according to the public transport of described request time and acquisition
Come car information and buses described in each road identify the degree of crowding value in each preset period of time for the corresponding described buses,
Obtain the degree of crowding value of the buses described in each road taken in described public bus network；
Recommending module, for according to the degree of crowding value taking buses described in each road in each described public bus network, to
Described user recommends described public bus network.
Still optionally further, in device as above, described degree of crowding acquisition module, specifically for：
For each described public bus network, according to described request time and the public transport that obtains carry out car information, determine described use
The time period of the buses described in each road that family is taken in described public bus network；
Described in the time period of buses described in each road taken in described public bus network according to described user and each road
The corresponding described buses of mark of buses, in the degree of crowding value of each described preset period of time, obtain in described public bus network and take advantage of
The degree of crowding value of buses described in Zuo Ge road.
Still optionally further, in device as above, described recommending module, specifically include：
Comfort level computing unit, for according to the degree of crowding taking buses described in each road in each described public bus network
Value, calculates the comfortable angle value of each described public bus network；
Recommendation unit, for the comfortable angle value according to each described public bus network, recommends described public bus network to described user.
Still optionally further, in device as above, described comfort level computing unit, specifically for：
The degree of crowding value taking buses described in each road in each described public bus network is multiplied；
The result of multiplication is taken the logarithm, as the comfortable angle value of corresponding described public bus network.
Still optionally further, in device as above, described recommendation unit, specifically for：
By the comfortable angle value of each described public bus network according to sorting from big to small；
According to described comfortable angle value order from big to small, recommend public bus network described at least one to described user.
Still optionally further, in device as above, also include setup module described in root and excavate module；
Described determining module, is additionally operable to the history brushing card data according to buses, determines that described in each road, buses are on peak
The peak load in period；
Described setup module, for the peak load of buses according to each road, is that described in each road, buses setting is gathered around
Crowded degree information, described degree of crowding information includes at least three degree of crowding values of buses described in each road, and each institute
State the corresponding flow of the people of degree of crowding value interval；
Described excavation module, for the history brushing card data according to described buses, excavates buses described in each road each
The flow of the people of described preset period of time；
Described determining module, is additionally operable to according to each road buses on the flow of the people of each described preset period of time and each road
The degree of crowding information of described buses, determines the degree of crowding value in each described preset period of time for the buses described in each road.
The public bus network of the present invention recommends method and device, by during the request of the real-time public transport retrieval request obtaining user
Between, starting point and terminal；According to beginning and end, determine at least two public bus networks and each public bus network that user can take
Including buses mark；For each public bus network, according to request time and the public transport that obtains come car information and each road
, in the degree of crowding value of each preset period of time, that takes in the corresponding public bus network of acquisition is each for the corresponding buses of mark of buses
The degree of crowding value of road buses；According to the degree of crowding value of each road buses taken in each public bus network, recommend to user
Public bus network.Technical scheme, on the basis of existing technology, can also be according to each road taken in each public bus network
The degree of crowding value of buses, recommends public bus network to user, enriches the information that real-time bus service provides further, enriches
The function of real-time bus service, but also the Experience Degree of user can be greatly enhanced.
【Brief description】
Fig. 1 is the flow chart of the public bus network recommendation embodiment of the method for the present invention.
Fig. 2 is the structure chart of the public bus network recommendation apparatus embodiment of the present invention.
Fig. 3 is the structure chart of the public bus network recommendation apparatus embodiment two of the present invention.
【Specific embodiment】
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with the accompanying drawings with specific embodiment pair
The present invention is described in detail.
Fig. 1 is the flow chart of the public bus network recommendation embodiment of the method for the present invention.As shown in figure 1, the public transport of the present embodiment
Circuit recommendation method, specifically may include steps of：
100th, the request time of real-time public transport retrieval request, starting point and the terminal of user are obtained；
101st, according to beginning and end, determine that at least two public bus networks that user can take and each public bus network include
Buses mark；
102nd, for each public bus network, according to request time and obtain public transport come car information and each road buses
Identify the degree of crowding value in each preset period of time for the corresponding buses, obtain each road public transport of taking in corresponding public bus network
The degree of crowding value of car；
103rd, the degree of crowding value according to each road buses taken in each public bus network, recommends public bus network to user.
It can be public bus network recommendation apparatus, for example, this public affairs that the public bus network of the present embodiment recommends the executive agent of method
Intersection road recommendation apparatus can be arranged in real-time bus service module, is used for being when user uses real-time bus service, to
User recommends more comfortable public bus network.
Specifically, in the public bus network recommendation method of the present embodiment, obtain the real-time public transport retrieval request of user first
Request time, starting point and terminal, specifically can obtain from the request data of the real-time bus service of user's request starting point and
Terminal；What this request time referred to is exactly the current time that user sends this real-time public transport retrieval request.Then public bus network is recommended
Device, according to beginning and end, can get all public bus networks of this origin-to-destination.Mainly use due in the present embodiment
In in the case of there is a plurality of public bus network, recommend more efficiently circuit to user.Therefore between origin-to-destination
Public bus network only has when one it is impossible to effectively embody the advantage of the present embodiment, therefore in the present embodiment, puts aside that starting point arrives
Terminal only has the situation of a public bus network.For in each public bus network of origin-to-destination, user may without transfer,
One bus just can directly reach, and the public transport that now this public bus network includes only has one.For origin-to-destination
Public bus network in, user needs the transfer could be when starting point is reached home, the public transport that this public bus network corresponding includes
Car has at least two.In order to clearly identify the buses of public bus network and every public bus network kind, public bus network can be adopted
Marked with Digital ID, such as No.1, No.2 etc., or can also directly adopt numeral or letter or
Person identifies other to represent each bar public bus network.The mark of the buses in every public bus network can directly adopt corresponding public affairs
Hand over the line identification of car, such as No. 1 buses adopt 1 mark, and No. 688 buses adopt 688 marks etc..
In the present embodiment, each preset period of time degree of crowding of each bus can be counted in advance according to historical data
Value；Specifically, in conjunction with the history brushing card data of each buses, count each preset period of time of each bus in advance every
The degree of crowding value in individual section, to increase the accuracy of statistical data.Wherein preset period of time can be according to active user place city
The road conditions in city to arrange, for example, specifically can be divided into multiple periods by one day, specifically can arrange each two hour as one
Period, such as 7:00-9:00,9:00-11:00 etc., the like, can be set in the evening 23:00-0:00 and 0:00-1:00
As a period, in practical application, the setting of period can also be arranged using other time length cycles ground, or non-week
The setting of phase property ground.In addition it is also necessary to obtain public transport carrys out car information in the present embodiment, the car information of coming of public transport is specially bus terminus and adjusts
Spend each bus, each bus of acquisition under steam, reach the information such as the time at each station.Therefore, in the present embodiment,
The car information of coming of public transport specifically obtains from the dispatch server of bus terminus.So, the public transport obtaining in the present embodiment carrys out car
Information includes the temporal information that each buses that at least two public bus networks that user can take include reach each station.
Then for each road bus routes, the starting point in this bus routes can be got, terminal, this public bus network include
The mark of each buses and transfer stop information, then in conjunction with request time, obtain public transport come car information and each road
Buses identify the degree of crowding value in each preset period of time for the corresponding buses, take in each public bus network each can be obtained
The degree of crowding value of road buses.
Further, the degree of crowding value of the buses in the present embodiment can also according to section to identify when, now also
The section taken can be determined on each bus, then obtains this bus according to the origin-to-destination of this request of user
In the degree of crowding value in this section for this period, if the user while when needing to take multiple section on wherein one buses, that
The degree of crowding value of this bus can take the meansigma methodss of the degree of crowding value in the plurality of section.
Finally, in the present embodiment, the degree of crowding value of each road buses that can take in each public bus network, push away to user
Recommend public bus network, for example, it is possible to recommend the most comfortable, least crowded public bus network to user.
The public bus network of the present embodiment recommends method, by obtain the real-time public transport retrieval request of user request time,
Starting point and terminal；According to beginning and end, determine at least two public bus networks and each public bus network bag that user can take
The mark of the buses including；For each public bus network, according to request time and the public transport that obtains carry out car information and each
The corresponding buses of mark of road buses, in the degree of crowding value of each preset period of time, are taken in the corresponding public bus network of acquisition
The degree of crowding value of each road buses；According to the degree of crowding value of each road buses taken in each public bus network, push away to user
Recommend public bus network.The technical scheme of the present embodiment, on the basis of existing technology, can also be according to taking in each public bus network
The degree of crowding value of each road buses, recommends public bus network to user, enriches the information that real-time bus service provides further,
Enrich the function of real-time bus service, but also the Experience Degree of user can be greatly enhanced.
Still optionally further, on the basis of the technical scheme of above-described embodiment, wherein step 102 is " for each public transport line
Road, according to request time and the public transport that obtains carry out the corresponding buses of mark of car information and each road buses each pre-
If the degree of crowding value of period, obtain the degree of crowding value of each road buses taken in corresponding public bus network ", specifically permissible
Comprise the steps：
(a1) for each public bus network, according to request time, obtain public transport carry out car information, determine user in this public transport
The time period of each road buses taken in circuit；
(a2) mark of the time period of each road buses taken in this public bus network according to user and each road buses
Know the degree of crowding value in each preset period of time for the corresponding buses, obtain the crowded of each road buses taken in this public bus network
Degree value.
For example, specifically, for each public bus network it may be determined that the buses of starting point, terminal and inclusion identify.
Then can also always obtain in car information first bus to be sat in this public bus network come the car time be first will
To the temporal information of big starting point place bus station, such as first car is estimated to be reached the buses sat for 5 minutes, then can basis
Request time and first car carry out car information, determine that user takes the pick-up time of first bus, then according to request
The station number of the process of first bus and section in the pick-up time of time and first bus and public bus network, determine
User takes the time getting off of first bus, thus calculating the time period that user takes on first bus；Then
Carry out car information further according to the public transport obtaining in the same manner, estimate on this public bus network second bus of transfer to transfer stop when
Between, and estimate the time period on user's second bus in this bus routes；The like, can estimate in this public transport
The time period of each road buses taken in circuit.In the same manner, each road buses taken in every public bus network can be estimated
Time period.
Then for each bar public bus network, count according to time period on each bus for the user estimating and in advance
The corresponding buses of mark of each road buses, in the degree of crowding value of each preset period of time, can accurately obtain user and take often
The degree of crowding value of this bus during each buses of one public bus network.
The each road buses wherein counting in advance, in the degree of crowding value of preset period of time, can be to identify according to public transport, in advance
If corresponding relation storage between period and degree of crowding value.For example in the present embodiment, the degree of crowding value of setting can be divided into
Five grades, wherein 5 is degree of crowding value highest, and 1 is minimum for degree of crowding value.12 tunnel public transport can be designated, in the morning 7:
00-9:The degree of crowding value of 00 period is 5.At this point it is possible to each road buses taken in each public bus network according to user
Time period, from default each road buses identify corresponding buses the degree of crowding value of each preset period of time, obtain right
The degree of crowding value of each road buses taken in each public bus network answered.
Further, the degree of crowding value of public transport can also be identified according to section, will public transport mark, preset period of time,
Corresponding relation storage between default section and degree of crowding value；Such as 12 tunnel public transport, in the morning 7:00-9:00 period,
The degree of crowding value of link1, link2, link5 and link6 is 5, is 4 in the degree of crowding value of link3 and link4, and
The degree of crowding value of link7 and link8 is 3, etc..At this point it is possible to each road public affairs taken in each public bus network according to user
Hand over time period of car and section link, from the corresponding buses of mark of default each road buses in each preset period of time and each
In the degree of crowding value in section, obtain the degree of crowding value of each road buses taken in corresponding each public bus network.For example, if
User, in a certain bar public bus network that starting point goes to terminal, needs 7:00-9:00 this period, take No. 12 buses
The section of Link3-Link8, now the degree of crowding value of No. 12 buses that user takes in this public bus network is Link3-
Average, i.e. (the 4+3+5+8+3+3)/6=4.33 of the degree of crowding value in the section of Link8.
Still optionally further, on the basis of the technical scheme of above-described embodiment, step 103 is " according in each public bus network
The degree of crowding value of each road buses taken, recommends public bus network to user ", specifically may include steps of：
(b1) degree of crowding value according to each road buses taken in each public bus network, calculates the comfortable of each public bus network
Angle value；
(b2) the comfortable angle value according to each public bus network, recommends public bus network to user.
For example, specifically, the degree of crowding value of each road taken in each public bus network buses is multiplied；The knot that will be multiplied
Fruit is taken the logarithm, as the comfortable angle value of corresponding public bus network.That is, for same public bus network, by this public transport line
The degree of crowding value of each bus in road is multiplied, and the result of multiplication is taken the logarithm as the comfort level of this public bus network
Value.The comfortable angle value so obtaining and degree of crowding value are inversely proportional to.Degree of crowding value is higher, represents more crowded, and corresponds to
Comfortable angle value lower, comfort level is poorer；Conversely, degree of crowding value is lower, represents more not crowded, and corresponding comfortable angle value is got over
Height, comfort level is better.
In addition, in the present embodiment, it would however also be possible to employ other calculations, for example, by each public transport in this public bus network
The degree of crowding value of car is added, and the value taken the logarithm of the result that will add up is as the comfortable angle value of this public bus network.Or also may be used
To adopt other modes, such as the degree of crowding value of each bus in this public bus network is added and is averaged, and will add up and take
The value that average result is taken the logarithm is as the comfortable angle value of this public bus network.Or, comfortable angle value can be deferred to other modes
The principle being inversely proportional to degree of crowding value.
Finally, the comfortable angle value according to each public bus network, recommends public bus network to user；For example specifically, can respectively
The comfortable angle value of public bus network is according to sorting from big to small；According to comfortable angle value order from big to small, recommend at least to user
Article one, public bus network.For example, when recommending to user, if there are a plurality of public bus network it may be preferred to ground, recommend comfortable to user
The bus routes of angle value rank first to third, if this public bus network includes many buses, each except including in this bus routes
Road buses, also will include transfer information, transfer etc. of standing where.
Still optionally further, on the basis of the technical scheme of above-described embodiment, step 102 is " according to request time and obtaining
Public transport come car information and each road buses identify the degree of crowding value in each preset period of time for the corresponding buses,
Obtain the degree of crowding value of each road buses taken in each public bus network " before, can also comprise the steps：
(c1) the history brushing card data according to buses, determines the peak load in peak time for each road buses；
(c2) peak load according to each road buses, is each road buses setting degree of crowding information, the degree of crowding
Information includes at least three degree of crowding values of each road buses, and the corresponding flow of the people of each degree of crowding value is interval；
(c3) the history brushing card data according to buses, excavates the flow of the people in each preset period of time for each road buses；
(c4) degree of crowding information according to the flow of the people in each preset period of time for each road buses and each road buses, really
Ding Ge road buses are in the degree of crowding value of each preset period of time.
Step (c1)-(c4) of the present embodiment is mainly used in determining the degree of crowding in each preset period of time for each road buses
Value.First, the history brushing card data according to buses, determines the peak load in peak time for each road buses.Due to every
No. one buses, vehicle is fixing under normal circumstances, and appearance of vehicle amount is also fixing, therefore in the present embodiment, can by this
Big load as this bus flow of the people is maximum, the degree of crowding highest when load.Then according to each road buses
Big load, is each road buses setting degree of crowding information, and what degree of crowding information included each road buses at least three gathers around
Crowded degree value, and the corresponding flow of the people of each degree of crowding value is interval.In order to more accurately embody the crowded of buses
The degree of crowding can be divided into multi gear by degree value, for example, be divided into five grades, five grades can be respectively adopted 1,2,3,4 and 5 mark crowded
Degree value, degree of crowding value is higher to represent more crowded.The peak load of such as certain bus is 150 people, can be this bus
The degree of crowding information of setting includes five grades of degree of crowding values, and wherein the 1st grade degree of crowding value is 1, and corresponding flow of the people is interval
For 0 to 30 people；2nd grade of degree of crowding value is 2, and corresponding flow of the people is interval to be 31 to 60 people；3rd grade of degree of crowding value is 3, right
The flow of the people answered is interval to be 61 to 90 people；4th grade of degree of crowding value is 4, and corresponding flow of the people is interval to be 91 to 120 people；5th grade
Degree of crowding value is 5, and corresponding flow of the people is interval to be 121 to 150 people.
Then the flow of the people in each preset period of time for each road buses can be excavated according to the history brushing card data of buses.
Wherein preset period of time can be arranged according to the road conditions rule of buses, with described in above-described embodiment, can be set with each two hour
Put a period.For buses in the flow of the people of a preset period of time, this bus specifically can be taken when this is default
The meansigma methodss of the flow of the people of section.Followed by, can according to for each road buses arrange degree of crowding information, determine that this bus exists
Which degree of crowding gear flow of the people of this period belongs to, and which corresponding degree of crowding value is.
The technical scheme of above-described embodiment, on the basis of existing technology, can also be according to taking in each public bus network
The degree of crowding value of each road buses, recommends public bus network to user, enriches the information that real-time bus service provides further,
Enrich the function of real-time bus service, but also the Experience Degree of user can be greatly enhanced.
Fig. 2 is the structure chart of the public bus network recommendation apparatus embodiment of the present invention.As shown in Fig. 2 the public transport of the present embodiment
Circuit recommendation device, specifically can include：Back ground Information acquisition module 10, determining module 11 and degree of crowding acquisition module 12 and
Recommending module 13.
Wherein Back ground Information acquisition module 10 be used for obtaining the request time of real-time public transport retrieval request of user, starting point with
And terminal；Determining module 11 is used for the beginning and end obtaining according to Back ground Information acquisition module 10, determines that user can take
At least two public bus networks and the mark of buses that includes of each public bus network；Degree of crowding acquisition module 12 is used for for true
Each public bus network that cover half block 11 determines, according to coming of Back ground Information acquisition module 10 request time obtaining and the public transport obtaining
The corresponding buses of mark of each road buses of car information and determining module 11 determination are in the degree of crowding of each preset period of time
Value, obtains the degree of crowding value of each road buses taken in corresponding public bus network；Recommending module 13 is used for according to crowded journey
The degree of crowding value of each road buses taken in each public bus network that degree acquisition module 12 obtains, recommends public transport line to user
Road.
The public bus network recommendation apparatus of the present embodiment, by using above-mentioned module realize public bus network recommendation realize principle
And technique effect and above-mentioned related method embodiment realize identical, may be referred to the note of above-mentioned related method embodiment in detail
Carry, will not be described here.
Fig. 3 is the structure chart of the public bus network recommendation apparatus embodiment two of the present invention.As shown in figure 3, the public affairs of the present embodiment
Intersection road recommendation apparatus, on the basis of the technical scheme of above-mentioned embodiment illustrated in fig. 2, enter one and can also include following technical side
Case.
Degree of crowding acquisition module 12 in the public bus network recommendation apparatus of the present embodiment specifically for：
Request time according to Back ground Information acquisition module 10 acquisition carrys out car information with the public transport obtaining, determines that user exists
The time period of the corresponding buses of mark of each road buses taken in each public bus network；According to user in each public bus network
Mark corresponding each road buses of each road buses of the time period of each road buses taken and determining module 11 determination
In the degree of crowding value of each preset period of time, obtain the degree of crowding value of each road buses taken in each public bus network.
Still optionally further, as shown in figure 3, it is recommended that module 13 is specifically wrapped in the public bus network recommendation apparatus of the present embodiment
Include：
Comfort level computing unit 131 is each for take in each public bus network according to degree of crowding acquisition module 12 acquisition
The degree of crowding value of road buses, calculates the comfortable angle value of each public bus network；
Recommendation unit 132 is used for the comfortable angle value of each public bus network according to comfort level computing unit 131 calculating, to user
Recommend public bus network.
Still optionally further, in the public bus network recommendation apparatus of the present embodiment, comfort level computing unit 131 specifically for：
The degree of crowding value of each road taken in each public bus network buses is multiplied；The result of multiplication is taken the logarithm, as corresponding
The comfortable angle value of public bus network.
Still optionally further, it is recommended that unit 132 is specifically for by each public transport in the public bus network recommendation apparatus of the present embodiment
The comfortable angle value of circuit is according to sorting from big to small；According to comfortable angle value order from big to small, recommend at least one to user
Public bus network.
Still optionally further, as shown in figure 3, in the public bus network recommendation apparatus of the present embodiment, also including setup module 14
With excavation module 15.
Wherein determining module 11 is additionally operable to the history brushing card data according to buses, determines each road buses in peak time
Peak load；
Setup module 14 is used for the peak load of each road buses according to determining module 11 determination, is that each road buses set
Put degree of crowding information, degree of crowding information includes at least three degree of crowding values of each road buses, and each crowded journey
The corresponding flow of the people of angle value is interval；
Excavate module 15 for the history brushing card data according to buses, excavate the people in each preset period of time for each road buses
Flow；
Determining module 11 be additionally operable to according to excavate module 15 excavate each road buses each preset period of time flow of the people with
And the degree of crowding information of each road buses of setup module 14 setting, determine the crowded journey in each preset period of time for each road buses
Angle value.
It should be understood that disclosed system in several embodiments provided by the present invention, apparatus and method are permissible
Realize by another way.For example, device embodiment described above is only schematically, for example, described unit
Divide, only a kind of division of logic function, actual can have other dividing mode when realizing.
The described unit illustrating as separating component can be or may not be physically separate, show as unit
The part showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.The mesh to realize this embodiment scheme for some or all of unit therein can be selected according to the actual needs
's.
In addition, can be integrated in a processing unit in each functional unit in each embodiment of the present invention it is also possible to
It is that unit is individually physically present it is also possible to two or more units are integrated in a unit.Above-mentioned integrated list
Unit both can be to be realized in the form of hardware, it would however also be possible to employ the form that hardware adds SFU software functional unit is realized.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in an embodied on computer readable and deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions with so that a computer
Equipment (can be personal computer, server, or network equipment etc.) or processor (processor) execution the present invention each
The part steps of embodiment methods described.And aforesaid storage medium includes：USB flash disk, portable hard drive, read only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. various
Can be with the medium of store program codes.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Within god and principle, any modification, equivalent substitution and improvement done etc., should be included within the scope of protection of the invention.
Claims (12)
1. a kind of public bus network recommends method it is characterised in that methods described includes：
Obtain the request time of real-time public transport retrieval request, starting point and the terminal of user；
According to described starting point and described terminal, determine at least two public bus networks and each described public transport that described user can take
The mark of the buses that circuit includes；
For each described public bus network, coming of the public transport according to described request time and acquisition is public described in car information and each road
That hands over car identifies the degree of crowding value in each preset period of time for the corresponding described buses, and that takes in the described public bus network of acquisition is each
The degree of crowding value of buses described in road；
According to the degree of crowding value taking buses described in each road in each described public bus network, recommend described public affairs to described user
Intersection road.
2. method according to claim 1 is it is characterised in that for each described public bus network, according to described request time
With the public transport obtaining come car information and buses described in each road identify corresponding described buses in each preset period of time
Degree of crowding value, obtains the degree of crowding value of the buses described in each road taken in described public bus network, specifically includes：
For each described public bus network, according to described request time and the public transport that obtains carry out car information, determine that described user exists
The time period of the buses described in each road taken in described public bus network；
The time period of buses described in each road taken in described public bus network according to described user and public transport described in each road
The corresponding described buses of mark of car, in the degree of crowding value of each described preset period of time, are taken in the described public bus network of acquisition
The degree of crowding value of buses described in each road.
3. method according to claim 1 is it is characterised in that public according to each road taken in each described public bus network
Hand over the degree of crowding value of car, recommend described public bus network to described user, specifically include：
According to the degree of crowding value taking buses described in each road in each described public bus network, calculate each described public bus network
Comfortable angle value；
According to the comfortable angle value of each described public bus network, recommend described public bus network to described user.
4. method according to claim 3 is it is characterised in that public according to each road taken in each described public bus network
Hand over the degree of crowding value of car, calculate the comfortable angle value of each described public bus network, specifically include：
The degree of crowding value taking buses described in each road in each described public bus network is multiplied；
The result of multiplication is taken the logarithm, as the comfortable angle value of corresponding described public bus network.
5. method according to claim 3 is it is characterised in that according to the comfortable angle value of each described public bus network, to described
User recommends described public bus network, specifically includes：
By the comfortable angle value of each described public bus network according to sorting from big to small；
According to described comfortable angle value order from big to small, recommend public bus network described at least one to described user.
6. according to the arbitrary described method of claim 1-5 it is characterised in that according to described request time with the public transport that obtains
That comes car information and buses described in each road identifies corresponding described buses in the degree of crowding value of each preset period of time, obtains
Before taking the degree of crowding value of buses described in each road taken in each described public bus network, methods described also includes：
According to the history brushing card data of buses, determine that described in each road, buses are in the peak load of peak time；
The peak load of buses according to each road, is buses setting degree of crowding information, described crowded journey described in each road
Degree information includes at least three degree of crowding values of buses described in each road, and each described degree of crowding is worth corresponding artificial abortion
Amount is interval；
According to the history brushing card data of described buses, excavate buses described in each road in the flow of the people of each described preset period of time；
According to each road, buses are believed in the degree of crowding of the flow of the people of each described preset period of time and buses described in each road
Breath, determines the degree of crowding value in each described preset period of time for the buses described in each road.
7. a kind of public bus network recommendation apparatus are it is characterised in that described device includes：
Back ground Information acquisition module, for obtaining request time, starting point and the terminal of the real-time public transport retrieval request of user；
Determining module, for according to described starting point and described terminal, determining at least two public transport lines that described user can take
The mark of the buses that road and each described public bus network include；
Degree of crowding acquisition module, for for each described public bus network, according to described request time and the public transport obtaining
The corresponding described buses of mark of car information and buses described in each road, in the degree of crowding value of each preset period of time, obtain
The degree of crowding value of the buses described in each road taken in described public bus network；
Recommending module, for according to the degree of crowding value taking buses described in each road in each described public bus network, to described
User recommends described public bus network.
8. device according to claim 7 is it is characterised in that described degree of crowding acquisition module, specifically for：
For each described public bus network, according to described request time and the public transport that obtains carry out car information, determine that described user exists
The time period of the buses described in each road taken in described public bus network；
The time period of buses described in each road taken in described public bus network according to described user and public transport described in each road
The corresponding described buses of mark of car, in the degree of crowding value of each described preset period of time, are taken in the described public bus network of acquisition
The degree of crowding value of buses described in each road.
9. device according to claim 7, it is characterised in that described recommending module, specifically includes：
Comfort level computing unit, for according to the degree of crowding value taking buses described in each road in each described public bus network,
Calculate the comfortable angle value of each described public bus network；
Recommendation unit, for the comfortable angle value according to each described public bus network, recommends described public bus network to described user.
10. device according to claim 9 is it is characterised in that described comfort level computing unit, specifically for：
The degree of crowding value taking buses described in each road in each described public bus network is multiplied；
The result of multiplication is taken the logarithm, as the comfortable angle value of corresponding described public bus network.
11. devices according to claim 9 it is characterised in that described recommendation unit, specifically for：
By the comfortable angle value of each described public bus network according to sorting from big to small；
According to described comfortable angle value order from big to small, recommend public bus network described at least one to described user.
12. according to the arbitrary described device of claim 7-11 it is characterised in that also include described in root setup module and excavate mould
Block；
Described determining module, is additionally operable to the history brushing card data according to buses, determines that described in each road, buses are in peak time
Peak load；
Described setup module, for the peak load of buses according to each road, is that buses described in each road arrange crowded journey
Degree information, described degree of crowding information includes at least three degree of crowding values of buses described in each road, and each described gathers around
The corresponding flow of the people of crowded degree value is interval；
Described excavation module, for the history brushing card data according to described buses, excavates buses described in each road each described
The flow of the people of preset period of time；
Described determining module, is additionally operable to according to each road buses described in the flow of the people of each described preset period of time and each road
The degree of crowding information of buses, determines the degree of crowding value in each described preset period of time for the buses described in each road.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610874849.0A CN106448135B (en) | 2016-09-30 | 2016-09-30 | Bus routes recommend method and device |
| PCT/CN2017/084452 WO2018058967A1 (en) | 2016-09-30 | 2017-05-16 | Ground transportation journey recommendation method, device, apparatus, and computer storage medium |
| JP2019523153A JP6742518B2 (en) | 2016-09-30 | 2017-05-16 | Bus route recommendation method, device, device and computer storage medium |
| KR1020197004158A KR102162729B1 (en) | 2016-09-30 | 2017-05-16 | How to recommend bus routes, devices, devices and computer storage media |
Applications Claiming Priority (1)
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|---|---|---|---|
| CN201610874849.0A CN106448135B (en) | 2016-09-30 | 2016-09-30 | Bus routes recommend method and device |
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| CN106448135B CN106448135B (en) | 2018-07-10 |
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|---|---|
| JP (1) | JP6742518B2 (en) |
| KR (1) | KR102162729B1 (en) |
| CN (1) | CN106448135B (en) |
| WO (1) | WO2018058967A1 (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107862865A (en) * | 2017-10-27 | 2018-03-30 | 沈阳世纪高通科技有限公司 | The Forecasting Methodology and device of a kind of trip information |
| WO2018058967A1 (en) * | 2016-09-30 | 2018-04-05 | 百度在线网络技术（北京）有限公司 | Ground transportation journey recommendation method, device, apparatus, and computer storage medium |
| CN109426417A (en) * | 2017-08-31 | 2019-03-05 | 北京嘀嘀无限科技发展有限公司 | Information display method and system |
| CN110069720A (en) * | 2017-11-03 | 2019-07-30 | 北京嘀嘀无限科技发展有限公司 | Transit riding route method for pushing and device, computer equipment and storage medium |
| CN110457416A (en) * | 2019-07-31 | 2019-11-15 | 摩比科技（深圳）有限公司 | A kind of method and apparatus for recommending bus trip route |
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| CN111739328A (en) * | 2020-04-29 | 2020-10-02 | 青岛慧都智能科技有限公司 | Bus route recommendation method, device and system |
| WO2020216157A1 (en) * | 2019-04-26 | 2020-10-29 | 华为技术有限公司 | Route recommendation method and electronic device |
| CN112183889A (en) * | 2020-10-26 | 2021-01-05 | 中国联合网络通信集团有限公司 | Riding route recommendation method and device |
| CN113657680A (en) * | 2021-08-24 | 2021-11-16 | 深圳市新天能科技开发有限公司 | Interactive intelligent bus operation method and system |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109147318A (en) * | 2018-08-03 | 2019-01-04 | 上海市政工程设计研究总院（集团）有限公司 | A kind of mode of transportation comfort level judgement system for the evacuation of transport hub passenger flow |
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| JPWO2023062969A1 (en) * | 2021-10-13 | 2023-04-20 | ||
| WO2023062968A1 (en) * | 2021-10-13 | 2023-04-20 | 株式会社Ｎｔｔドコモ | Recommendation system |
| JP2023125180A (en) * | 2022-02-28 | 2023-09-07 | 三菱電機株式会社 | Boarding guidance device, boarding guidance system using the same, and boarding guidance method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7257485B2 (en) * | 2005-11-09 | 2007-08-14 | Xanavi Informatics Corporation | Navigation system, and information acquisition method |
| CN102867408A (en) * | 2012-09-17 | 2013-01-09 | 北京理工大学 | Method and system for selecting bus trip route |
| CN103246712A (en) * | 2013-04-22 | 2013-08-14 | 东莞中山大学研究院 | Metro line recommending method |
| CN104517040A (en) * | 2014-12-31 | 2015-04-15 | 青岛海信网络科技股份有限公司 | Method for calculating in-carriage congestion degree of public traffic vehicle based on IC card data |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008225816A (en) * | 2007-03-13 | 2008-09-25 | Nec Corp | Rerouting support system and rerouting support method |
| WO2008142783A1 (en) * | 2007-05-23 | 2008-11-27 | Navitime Japan Co., Ltd. | Navigation system, route retrieval server and mobile terminal device, and route guiding method |
| JP5492608B2 (en) * | 2010-03-09 | 2014-05-14 | 株式会社ナビタイムジャパン | Navigation system, navigation server, navigation method, and program |
| JP5668380B2 (en) * | 2010-09-10 | 2015-02-12 | 株式会社豊田中央研究所 | Route search apparatus and program |
| KR20130010393A (en) * | 2011-07-18 | 2013-01-28 | 주식회사 네비웨이 | Bus information system |
| JP5937322B2 (en) * | 2011-09-27 | 2016-06-22 | 株式会社ナビタイムジャパン | Information processing system, information processing apparatus, information processing method, and information processing program |
| KR20160018968A (en) * | 2014-08-08 | 2016-02-18 | 주식회사 케이티 | Method and device for providing bus monitoring service |
| KR101656145B1 (en) * | 2014-10-07 | 2016-09-08 | 고려대학교 산학협력단 | Method for providing path information |
| CN105719476A (en) * | 2016-03-28 | 2016-06-29 | 深圳市佳信捷技术股份有限公司 | Updating method and device for public transport system scheduling information |
| CN106448135B (en) * | 2016-09-30 | 2018-07-10 | 百度在线网络技术（北京）有限公司 | Bus routes recommend method and device |
-
2016
- 2016-09-30 CN CN201610874849.0A patent/CN106448135B/en active Active
-
2017
- 2017-05-16 KR KR1020197004158A patent/KR102162729B1/en active IP Right Grant
- 2017-05-16 JP JP2019523153A patent/JP6742518B2/en active Active
- 2017-05-16 WO PCT/CN2017/084452 patent/WO2018058967A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7257485B2 (en) * | 2005-11-09 | 2007-08-14 | Xanavi Informatics Corporation | Navigation system, and information acquisition method |
| CN102867408A (en) * | 2012-09-17 | 2013-01-09 | 北京理工大学 | Method and system for selecting bus trip route |
| CN103246712A (en) * | 2013-04-22 | 2013-08-14 | 东莞中山大学研究院 | Metro line recommending method |
| CN104517040A (en) * | 2014-12-31 | 2015-04-15 | 青岛海信网络科技股份有限公司 | Method for calculating in-carriage congestion degree of public traffic vehicle based on IC card data |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018058967A1 (en) * | 2016-09-30 | 2018-04-05 | 百度在线网络技术（北京）有限公司 | Ground transportation journey recommendation method, device, apparatus, and computer storage medium |
| CN109426417A (en) * | 2017-08-31 | 2019-03-05 | 北京嘀嘀无限科技发展有限公司 | Information display method and system |
| CN107862865A (en) * | 2017-10-27 | 2018-03-30 | 沈阳世纪高通科技有限公司 | The Forecasting Methodology and device of a kind of trip information |
| CN107862865B (en) * | 2017-10-27 | 2020-01-07 | 沈阳世纪高通科技有限公司 | Travel information prediction method and device |
| CN110069720A (en) * | 2017-11-03 | 2019-07-30 | 北京嘀嘀无限科技发展有限公司 | Transit riding route method for pushing and device, computer equipment and storage medium |
| CN110069720B (en) * | 2017-11-03 | 2021-12-21 | 北京嘀嘀无限科技发展有限公司 | Bus taking route pushing method and device, computer equipment and storage medium |
| CN110857856A (en) * | 2018-08-22 | 2020-03-03 | 阿里巴巴集团控股有限公司 | Route planning method and system |
| CN111627239A (en) * | 2019-02-28 | 2020-09-04 | 腾讯大地通途（北京）科技有限公司 | Display method, device and equipment of public transport information and storage medium |
| WO2020216157A1 (en) * | 2019-04-26 | 2020-10-29 | 华为技术有限公司 | Route recommendation method and electronic device |
| CN110457416A (en) * | 2019-07-31 | 2019-11-15 | 摩比科技（深圳）有限公司 | A kind of method and apparatus for recommending bus trip route |
| CN111739328A (en) * | 2020-04-29 | 2020-10-02 | 青岛慧都智能科技有限公司 | Bus route recommendation method, device and system |
| CN112183889A (en) * | 2020-10-26 | 2021-01-05 | 中国联合网络通信集团有限公司 | Riding route recommendation method and device |
| CN112183889B (en) * | 2020-10-26 | 2023-06-06 | 中国联合网络通信集团有限公司 | Riding route recommendation method and device |
| CN113657680A (en) * | 2021-08-24 | 2021-11-16 | 深圳市新天能科技开发有限公司 | Interactive intelligent bus operation method and system |
| CN113657680B (en) * | 2021-08-24 | 2024-01-16 | 深圳市新天能科技开发有限公司 | Interactive intelligent bus operation method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106448135B (en) | 2018-07-10 |
| KR102162729B1 (en) | 2020-10-07 |
| KR20190028499A (en) | 2019-03-18 |
| WO2018058967A1 (en) | 2018-04-05 |
| JP6742518B2 (en) | 2020-08-19 |
| JP2019527902A (en) | 2019-10-03 |
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