CN103778778A - Rapid bus station service information system and rapid bus arrival information measuring and calculating method - Google Patents

Rapid bus station service information system and rapid bus arrival information measuring and calculating method Download PDF

Info

Publication number
CN103778778A
CN103778778A CN201310703566.6A CN201310703566A CN103778778A CN 103778778 A CN103778778 A CN 103778778A CN 201310703566 A CN201310703566 A CN 201310703566A CN 103778778 A CN103778778 A CN 103778778A
Authority
CN
China
Prior art keywords
bus
platform
station
passenger
vehicle
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.)
Granted
Application number
CN201310703566.6A
Other languages
Chinese (zh)
Other versions
CN103778778B (en
Inventor
张书浆
徐建军
孙志生
王辉
麻锐
邵小华
张华波
周楠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yinjiang Technology Co.,Ltd.
Original Assignee
Enjoyor Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Enjoyor Co Ltd filed Critical Enjoyor Co Ltd
Priority to CN201310703566.6A priority Critical patent/CN103778778B/en
Publication of CN103778778A publication Critical patent/CN103778778A/en
Application granted granted Critical
Publication of CN103778778B publication Critical patent/CN103778778B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Traffic Control Systems (AREA)

Abstract

Disclosed is a rapid bus station service information system. The system comprises a central processing platform for in charge of storing station positions, corresponding electronic bulletin screens and rapid docking bus information, and storing the license, seat number, full load number and attribution line information of each bus; a bus information subsystem and a GPS positioning subsystem for acquiring and storing the licenses, positions, current passenger numbers, docking time at each station all the way, and getting-on and getting-off numbers of the buses; a station subsystem for acquiring the numbers of passengers entering platforms for bus wafting at each time period; and a bayonet subsystem for obtaining average speeds at each road section of the buses and speculating bus arrival time according to this, and measuring and calculating bus arrival data through a rapid bus arrival data prediction model. The invention also provides a rapid bus arrival information measuring and calculating method. By using the system and method provided by the invention, the numbers inside the buses when the buses dock at each station and getting-on and getting-off numbers and bus waiting numbers at each station can be effectively predicted, and the data information is of good practicality.

Description

The arrive at a station measuring method of information of a kind of fast bus station service information system and quick public transport
Technical field
The present invention relates to public traffic information service field, the arrive at a station measuring method of information of especially a kind of fast bus station service information system and quick public transport.
Background technology
Along with urban traffic blocking aggravation, also increasing for the pressure that traffic administration brings, and public transport is also more and more subject to as the important means of alleviating traffic congestion the attention that vehicle supervision department payes attention to.How to provide good service for citizen take bus to go on a journey, be a heat subject of current intelligent transportation field.Aspect bus trip, there is following problem at present:
When citizen wait for bus AT STATION, sometimes have multiple choices, except arrival time, people are also concerned about the loading problem of public transit vehicle, the load of Dang Mou road bus or arrival time exceed passenger while expecting, and passenger can select to take the bus of other routes or select to beat.But at present bus platform is only provided the prediction case of vehicle arrival time, fail to provide the vehicle Che Neiche visitor quantitative forecast situation while arriving at a station of arriving at a station.
In the time calculating bus load, only add up the number of people in car of this car in the time of platform stop on the way, lack the method that when each platform is stopped in the back to this vehicle, number of people in car is predicted.
Summary of the invention
Number of people in car, the poor deficiency of data message practicality while stop in order to overcome single, the unpredictable each platform of content of existing bus platform information on services mode, get on or off the bus number and the number of waiting, good fast bus station service information system and bus and the platform psgrs. No. of measuring method of data message practicality of number of people in car and each platform when the invention provides the each platform of a kind of effective prediction and stopping.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of fast bus station service information system, described service information system comprises central processing platform, gps positioning subsystem, bus information subsystem, platform subsystem and can calculate in real time the bayonet socket subsystem of each road-section average OD road speed or time, wherein
Central processing platform, for the bus rapid transit line information of being responsible for storing gate position, corresponding BBS (Bulletin Board System) screen and stopping, stores car plate, seating capacity, fully loaded number and the ownership line information of each public transit vehicle;
Bus information subsystem and gps positioning subsystem, for gathering and store the car plate, position, current ridership of public transit vehicle, stopping the time at each station and the number information that gets on or off the bus on the way;
Platform subsystem, enters for gathering each time end the ridership that platform is waited;
Bayonet socket subsystem, for obtaining public transit vehicle in the average speeds in each section and inferring accordingly time of public transit vehicle in-track platform; By the bus rapid transit data prediction model measuring and calculating bus arrival data of arriving at a station;
BBS (Bulletin Board System) screen display at platform is shown corresponding information: seating capacity in car, fully loaded number, estimate arrival time, number of people in car and whether fully loaded while arriving at a station.
The arrive at a station measuring method of information of quick public transport, described measuring method comprises the following steps:
(1), set up the bus rapid transit data prediction model that arrives at a station, the described bus rapid transit data prediction model that arrives at a station comprises following parameter: number of people in car C while waiting the number H of this bus, number U that vehicle is got on the bus at this platform, number D that vehicle is got off at this platform, vehicle to this station when the distance L of vehicle and this platform, vehicle arrival station required time T, vehicle reach the stylish number N that arrives at a station in this station, enter the probability P of taking this road bus rapid transit in the passenger of this platform, the number that waits the in real time W, vehicle of this bus is to this station in platform;
The ratio that is set in the passenger that platform gets off meets local linear rule, predicts as follows the number that platform is got off:
Predictor formula 1:
Passenger's ratio of getting off in passenger's ratio-x-1 regular bus of getting off in x regular bus=
Passenger's ratio of getting off in passenger's ratio-x-2 regular bus of getting off in x-1 regular bus
Also:
Passenger's ratio of getting off in passenger's ratio-x-2 regular bus of getting off in passenger ratio=2* x-1 regular bus of getting off in x regular bus;
Be set in enter platform ridership meet local linear rule, platform is according to the once nearly n minute number that enters the station of every n minute statistics, the composition ordered series of numbers that enters the station, N 1, N 2..., N k..., have:
Predictor formula 2, k=3,4,5 ...:
N k-N k-1=N k-1-N k-2
Also: N k=2*N k-1-N k-2
The distance L of next class of bus and front platform is obtained by GPS positioning subsystem;
Next class of bus arrives front platform required time T and obtains by bayonet socket subsystem, and obtain manner is as follows:
(1.1.1) obtain vehicle location according to GPS positioning system;
(1.1.2) obtain from the section of vehicle current location in-track platform process according to vehicle location;
(1.1.3) obtain in real time average running time in each section;
(1.1.4) calculate the temporal summation of vehicle through these sections;
It is as follows that next class of bus reaches the stylish number N obtain manner that arrives at a station of front platform:
(1.2.1) two number N that enter the station for n minute before slave station estrade system acquisition 1and N 2;
(1.2.2) arrive this station required time T according to vehicle, be converted into several n minute,
And then formation ordered series of numbers N 1, N 2, N 3..., N k, k=[T/n];
(1.2.3) calculate successively N according to predictor formula 2 3..., N k;
(1.2.4) vehicle reaches the stylish number N=N that arrives at a station in this station 3+ N 4+ ..., N k;
(1.2.5) due to the every n of system minute statistics one secondary data, therefore every n minute reruns once
The number of newly arriving at a station;
Enter that in the passenger of certain platform, to take the probability P obtain manner of each circuit bus rapid transit as follows:
(1.3.1) initialization: add up platform number and the get on the bus number of nearest Yi Zhouge road quick public transport in the time that this platform is stopped, this bus get on the bus total number of persons and the ratio of total ridership that enters platform, be passenger and take the probability P of corresponding quick public transport circuit 0, all time point P initialization values are all set to P 0;
(1.3.2) P value update algorithm: when certain moment public transit vehicle arrives this platform, after passenger loading, vehicle does not carry completely, and the passenger who takes this road public transport all gets on the bus, and remaining passenger does not all take the public transport of this circuit, and this time point P value is adjusted as follows:
The platform total passenger of waiting when P=P/2+(gets on the bus ridership/arrive at a station)/2
Calculate thus the probability of taking this road bus rapid transit in the passenger that each time point enters this platform;
The number of waiting the in real time W of each public bus network of certain platform obtains in the following manner:
(1.4.1) establishing this platform has k bar bus routes, and the personnel of entering the station take the general of each circuit
Rate is P successively 1, P 2... P k;
(1.4.2) initialization, setting platform total number of persons is W always, each the circuit number of waiting is followed successively by:
W 1=W always* P 1
W 2=W always* P 2
W k=W always* P k
(1.4.3) W value update algorithm:
I. each passenger enters platform needs to swipe the card, the people that often comes in, and each bus waiting number added value is followed successively by P 1, P 2... P k1.4.
Ii.Dang Mou road bus is come this platform, and the number of getting on the bus is U 1, underload or U when if vehicle leaves 1>W 1, think that this road public transport passenger that waits all gets on the bus, therefore by W 1be set to 0, other public transport number of waiting in real time is all multiplied by (W always-U 1)/W always
Fully loaded and U when iii. if vehicle leaves 1<=W 1:
W always=W always-U 1
W 1=W 1—U 1
Other are constant;
The number N* that when vehicle waits next regular bus of the number of waiting in real time W+ of taking this regular vehicle in this platform of number H=of this bus during to certain platform and arrives this platform, expectation can arrive newly takes the probability P of this route to passenger;
(2) when next time regular bus arrives certain platform, number of people in car C, the number U getting on the bus and the number D that gets off predict as follows:
(2.1) set between regular bus and this platform and have k platform, number consecutively be No. 1 platform, No. 2 platform ..., k platform, described k platform is this platform;
(2.2) number of people in car C and the number of getting off while calculating successively next regular bus and arrive j platform, j=1,2 ..., k;
Step 2.2.1. makes j=1, number of people in car C when No. 1 platform 1be when real-time number in front truck, can from bus information subsystem, obtain number of people in car C while arriving No. 1 platform 1known;
Step 2.2.2. obtains waiting when next regular bus arrives j platform the number H of this bus by step (1) j;
Several Z that have a full house of next time regular bus of step 2.2.3. obtain from bus information subsystem, therefore next regular bus is at the j platform number U that gets on the bus jcalculate by following formula:
U j=MIN(H j,Z-C j
The number of people in car of the arrival j platform of nearest two regular buses of this circuit of step 2.2.4. and the number of getting off are all obtained from bus information subsystem, calculate thus passenger's ratio that nearest two regular buses are got off;
Step 2.2.5. is according to step 2.2.2 result of calculation, passenger's the ratio of getting off when applying mechanically predictor formula 1 and can calculating next regular bus and arrive j platform;
Step 2.2.6. calculates next regular bus number of getting off D at j platform j, D jnumber of people in car C when=in-track platform j* passenger's the ratio of getting off when next regular bus arrives j platform;
When next regular bus of step 2.2.7. rolls j platform away from, number of people in car predicted value can be calculated by following formula:
C j+1=C j+U j-D j
Get successively j=2,3 ..., k, repeating step 2.2.2~2.2.7, can calculate next regular bus and arrive the 2nd, 3 ..., number of people in car C, the number U getting on the bus and the number D that gets off when k platform.
Beneficial effect of the present invention is mainly manifested in: 1, by obtaining the loading condition that arrives our station in bus rapid transit circuit through bus platform Ge road public transit vehicle, citizen can be in conjunction with vehicle arrival time, selects to take in acceptable time range the public transit vehicle of " free time "; Meanwhile, the present invention also measurable go out each platform get on or off the bus number and the number of waiting, for sending of bus rapid transit provides reference; 2, for citizen select to provide more fully and help while taking bus rapid transit.Citizen except obtaining the distance of each road bus rapid transit and our station and arriving the time of this platform, can also obtain all kinds of information of arriving at a station of bus on platform, when load exceedes a certain limit in the time that bus rapid transit arrives our station, point out this car " to be fully loaded with ".
Accompanying drawing explanation
Fig. 1 is system construction drawing of the present invention;
Fig. 2 is the process flow diagram that obtains the information of arriving at a station when quick public transport vehicle arrives certain platform of the present invention;
Fig. 3 is the measuring and calculating process flow diagram of next time regular bus of the present invention number of people in car, the number of getting on the bus and number of getting off while arriving certain platform.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.
With reference to Fig. 1~Fig. 3, a kind of fast bus station service information system, comprise central processing platform, gps positioning subsystem, bus information subsystem, platform subsystem and can calculate in real time the bayonet socket subsystem of each road-section average OD road speed (or time), wherein
Central processing platform is the core of system, is responsible for the information such as the bus rapid transit circuit that stores gate position, corresponding BBS (Bulletin Board System) screen, stop, stores the information such as car plate, seating capacity, fully loaded number and ownership circuit of each public transit vehicle;
Bus information subsystem and the collection of gps positioning subsystem are also stored the car plate, position, current ridership of public transit vehicle, are stopped the time at each station and the information such as number of getting on or off the bus on the way;
Platform subsystem gathers each time end and enters the ridership that platform is waited;
Bayonet socket subsystem obtains public transit vehicle in the average speeds in each section and infers accordingly time of public transit vehicle in-track platform; By the bus rapid transit data prediction model measuring and calculating bus arrival data of arriving at a station; Show corresponding information (seating capacity in car, fully loaded number, estimate arrival time, number of people in car while arriving at a station, whether fully loaded etc.) in the BBS (Bulletin Board System) screen display of platform.
The arrive at a station measuring method of information of quick public transport, described measuring method comprises the following steps:
(1), set up the bus rapid transit data prediction model that arrives at a station, the described bus rapid transit data prediction model that arrives at a station comprises following parameter: number of people in car C while waiting the number H of this bus, number U that vehicle is got on the bus at this platform, number D that vehicle is got off at this platform, vehicle to this station when the distance L of vehicle and this platform, vehicle arrival station required time T, vehicle reach the stylish number N that arrives at a station in this station, enter the probability P of taking this road bus rapid transit in the passenger of this platform, the number that waits the in real time W, vehicle of this bus is to this station in platform;
Number of people in car when vehicle departures (leaving from station), the number of people in car while being also the vehicle arrival next stop
The ratio that is set in the passenger that platform gets off meets local linear rule, predicts as follows the number that platform is got off:
Predictor formula 1:
Passenger's ratio of getting off in passenger's ratio-x-1 regular bus of getting off in x regular bus=
Passenger's ratio of getting off in passenger's ratio-x-2 regular bus of getting off in x-1 regular bus
Also:
Passenger's ratio of getting off in passenger's ratio-x-2 regular bus of getting off in passenger ratio=2* x-1 regular bus of getting off in x regular bus;
Be set in enter platform ridership meet local linear rule, platform gets 5 according to every n(n, also can get 10 other numerals such as grade) the once nearly n minute number that enters the station of minute statistics, the composition ordered series of numbers that enters the station, N 1, N 2..., N k...Have:
Predictor formula 2(k=3,4,5 ...):
N k-N k-1=N k-1-N k-2
Also: N k=2*N k-1-N k-2
The distance L of next class of bus and front platform is obtained by GPS positioning subsystem;
Next class of bus arrives front platform required time T and obtains by bayonet socket subsystem, and obtain manner is as follows:
(1.1.1) obtain vehicle location according to GPS positioning system;
(1.1.2) obtain from the section of vehicle current location in-track platform process according to vehicle location;
(1.1.3) obtain in real time average running time in each section;
(1.1.4) calculate the temporal summation of vehicle through these sections;
It is as follows that next class of bus reaches the stylish number N obtain manner that arrives at a station of front platform:
(1.2.1) two number N that enter the station for n minute before slave station estrade system acquisition 1and 9N 2;
(1.2.2) arrive this station required time T according to vehicle, be converted into several n minute,
And then formation ordered series of numbers N 1, N 2, N 3..., N k(k=[T/n]);
(1.2.3) calculate successively N according to predictor formula 2 3..., N k;
(1.2.4) vehicle reaches the stylish number N=N that arrives at a station in this station 3+ N 4+ ..., N k;
(1.2.5) due to the every n of system minute statistics one secondary data, therefore every n minute reruns once
The number of newly arriving at a station;
Enter that in the passenger of certain platform, to take the probability P obtain manner of each circuit bus rapid transit as follows:
(1.3.1) initialization: add up platform number and the get on the bus number of nearest Yi Zhouge road quick public transport in the time that this platform is stopped, this bus get on the bus total number of persons and the ratio of total ridership that enters platform, be passenger and take the probability P of corresponding quick public transport circuit 0, all time point P initialization values are all set to P 0;
(1.3.2) P value update algorithm: when certain moment public transit vehicle arrives this platform, after passenger loading, vehicle does not carry completely, and the passenger who takes this road public transport all gets on the bus, and remaining passenger does not all take the public transport of this circuit, and this time point P value is adjusted as follows:
The platform total passenger of waiting when P=P/2+(gets on the bus ridership/arrive at a station)/2
Calculate thus the probability of taking this road bus rapid transit in the passenger that each time point enters this platform.
The number of waiting the in real time W of each public bus network of certain platform obtains in the following manner:
(1.4.1) establishing this platform has k bar bus routes, and the personnel of entering the station take the general of each circuit
Rate is P successively 1, P 2... P k;
(1.4.2) initialization, setting platform total number of persons is W always, each the circuit number of waiting is followed successively by:
W 1=W always* P 1
W 2=W always* P 2
W k=W always* P k
(1.4.3) W value update algorithm:
I. each passenger enters platform needs to swipe the card, the people that often comes in, and each bus waiting number added value is followed successively by P 1, P 2... P k1.4.
Ii.Dang Mou road bus (for ease of setting forth, take 1 bus as example) is come this platform, and the number of getting on the bus is U 1(this numerical value can obtain from bus information subsystem); Underload or U when if vehicle leaves 1>W 1, think that the 1 tunnel public transport passenger that waits all gets on the bus, therefore by W 1be set to 0, other public transport number of waiting in real time is all multiplied by (W always-U 1)/W always
Fully loaded and U when iii. if vehicle leaves 1<=W 1:
W always=W always-U 1
W 1=W 1—U 1
Other are constant;
The number N* that when vehicle waits next regular bus of the number of waiting in real time W+ of taking this regular vehicle in this platform of number H=of this bus during to certain platform and arrives this platform, expectation can arrive newly takes the probability P of this route to passenger;
(2) when next time regular bus arrives certain platform, number of people in car C, the number U getting on the bus and the number D that gets off predict as follows:
(2.1) set between regular bus and this platform, have k platform (containing this platform), number consecutively be No. 1 platform, No. 2 platform ..., k platform (being this platform)
(2.2) calculate successively next regular bus and arrive j(j=1,2 ..., k) number of people in car C and the number of getting off when number platform:
Step 2.2.1. makes j=1, number of people in car C when No. 1 platform 1be when real-time number in front truck, can from bus information subsystem, obtain number of people in car C while arriving No. 1 platform 1known;
Step 2.2.2. obtains waiting when next regular bus arrives j platform the number H of this bus by step (1) j;
Several Z that have a full house of next time regular bus of step 2.2.3. obtain from bus information subsystem, therefore next regular bus is at the j platform number U that gets on the bus jcalculate by following formula:
U j=MIN(H j,Z-C j
The number of people in car of the arrival j platform of nearest two regular buses of this circuit of step 2.2.4. and the number of getting off are all obtained from bus information subsystem, calculate thus passenger's ratio that nearest two regular buses are got off;
Step 2.2.5. is according to step 2.2.2 result of calculation, passenger's the ratio of getting off when applying mechanically predictor formula 1 and can calculating next regular bus and arrive j platform;
Step 2.2.6. calculates next regular bus number of getting off D at j platform j(number of people in car C when=in-track platform j* passenger's the ratio of getting off when next regular bus arrives j platform)
When next regular bus of step 2.2.7. rolls j platform (also arriving j+1 platform) away from, number of people in car predicted value can be calculated by following formula:
C j+1=C j+U j-D j
Get successively j=2,3 ..., k, repeating step 2.2.2~2.2.7, can calculate next regular bus and arrive the 2nd, 3 ..., number of people in car C, the number U getting on the bus and the number D that gets off when k platform.K value generally can not be greater than 3 in actual applications, therefore can not produce too large error.
Example: Fig. 3 is the unidirectional operation situation schematic diagram of 1 road quick public transport circuit at 8:41 one day.For ease of setting forth, suppose that known conditions is as follows:
1, the distance between each website is 3000 meters
2, public transit vehicle be seating capacity 60, fully loaded several 80.
3, ignore the time (sailing and roll away from the same time point of platform into represents) that bus is stopped at platform.
4, bus platform is only stopped 1 road quick public transport on the way, and entering the probability P of taking this road bus rapid transit in the passenger of this platform is 1, and all passengers of entering the station all take 1 road quick public transport.
The present embodiment illustrates as an example of 4#~6# platform example, and other platforms are similar:
The first step, obtain 4# platform public transport information on services and issue at 4# platform:
Now next regular bus of 4# platform is the 8th regular bus;
Getting next bus from gps subsystem is 500 meters to the distance 5# platform;
Know that from bayonet socket subsystem the real-time average speed in the section between 3~4# platform is 15,000 ms/h, therefore the time of next time bus arrival 5# platform is 2 minutes; The time that arrives 5# platform is 8:43.
When obtaining the 8th regular bus and roll away from from 3# platform from bus information subsystem, passenger inside the vehicle's number is 38 people, and when also the 8th regular bus is stopped 4# platform, passenger inside the vehicle's number is 38 people.
Calculate next bus number of getting off at 4# platform: the ratio that slave station estrade system acquisition the 7th regular bus is got off at 4# platform is 2/36, the ratio that the 6th regular bus is got off at 4# platform is 2/36, when the 8th regular bus arrives 4# platform, passenger inside the vehicle's number is 38, therefore the 6th regular bus is 4# platform ridership=(2 × 2/36-2/36) × 38=2.1 ≈ 2 people that get off
The number of waiting while calculating next time Public Transit Bus Stopping 4# platform:
The current station of the slave station estrade system acquisition number of waiting for bus is 13 people, the number that enters this station between 8:36~8:41 is 11 people, the number that enters this station between 8:31~8:36 is 9 people, infer that accordingly the number that enters this station between 8:41~8:46 is 2 × 11-9=13 people, average next coastiong of per minute 13/5=2.6 people arrives 4# platform also needs 2 minutes, will have 5 people and enter platform (2.6 × 2=5.2 ≈ 5).Therefore the number of waiting when next time Public Transit Bus Stopping 4# platform is 13+5=18 people
When next time bus leaves 4# platform, number of people in car is MIN (80,38+18-2)=54 people; Also when this car arrives 5# platform, number of people in car is 54 people;
Issue following information at 4# platform: " 1 bus, apart from 500 meters of our stations, arrives after 2 minutes (500 meters ÷ 15,000 ms/h=2 minutes), and ridership 38 people while arriving at a station, estimate that the number of getting off is 2 people ".
Second step, obtains 5# platform public transport information on services and issues at 5# platform:
Now next regular bus of 5# platform is the 6th regular bus;
Getting the 6th class of bus from GPS subsystem is 1200 meters to the distance 5# platform;
Knowing that from bayonet socket subsystem the real-time average speed in the section between 4#~5# platform is 15,000 ms/h, is 4.8 minutes (1200 meters ÷ 15,000 ms/h=4.8 minutes) therefore this car arrives the time of 5# platform, and the time that arrives 5# platform is 8:46.
When obtaining the 6th regular bus and roll away from from 4# platform from bus information subsystem, passenger inside the vehicle's number is 55 people, and when also the 6th regular bus sails 5# into, passenger inside the vehicle's number is 55 people.
Calculate next bus number of getting off at 5# platform: the ratio that slave station estrade system acquisition the 5th regular bus is got off at 5# platform is 5/46, the ratio that the 4th regular bus is got off at 5# platform is 4/43, when the 6th regular bus arrives 5# platform, passenger inside the vehicle's number is 38, therefore the 6th regular bus is 5# platform ridership=(2 × 5/46-4/43) × 55=6.8 ≈ 7 people that get off
The number of waiting while calculating next time Public Transit Bus Stopping 5# platform:
The current station of the slave station estrade system acquisition number of waiting for bus is 23 people, the number that enters this station between 8:36~8:41 is 9 people, the number that enters this station between 8:31~8:36 is 8 people, infer that accordingly the number that enters this station between 8:41~8:46 is 2 × 9-8=10 people, average next coastiong of per minute 10/5=2 people arrives 5# platform also needs 4.8 minutes, will have 10 people and enter platform (2 × 4.8=9.6 ≈ 10).Therefore the number of waiting when next time Public Transit Bus Stopping 4# platform is 23+10=33 people
When the 6th class of bus leaves 5# platform, number of people in car is MIN (80,55+33-7)=80 people; Also when the 6th class of bus arrives 6# platform, number of people in car is 80 people (being fully loaded with);
Issue following information at 5# platform: " 1 bus, apart from 1200 meters of our stations, arrives after 5 minutes, and ridership 55 people while arriving at a station estimate that the number of getting off is 7 people ".
The 3rd step, obtain 6# platform public transport information on services and issue at 6# platform:
Now next regular bus of 6# platform is also the 6th regular bus;
Getting the 6th class of bus from gps subsystem is 4200 meters to the distance 6# platform;
Know that from bayonet socket subsystem the real-time average speed in the section between 4#~5# platform is 15,000 ms/h, the real-time average speed in the section between 4#~5# platform is 12,000 ms/h, need 19.8 minutes (15,000 ms/h+3000 meters ÷ of 1200 meters of ÷ 12,000 ms/h=19.8 minutes) therefore this car arrives 6# platform, the time that arrives 5# platform is 9:01.
While knowing that by 8.22 the 6th regular bus rolls away from from 5# platform, passenger inside the vehicle's number is 55 people, and when also the 6th regular bus sails 6# into, passenger inside the vehicle's number is 80 people (being fully loaded with).
Calculate next bus number of getting off at 6# platform: the ratio that slave station estrade system acquisition the 5th regular bus is got off at 6# platform is 18/50, the ratio that the 4th regular bus is got off at 6# platform is 17/47, when the 6th regular bus arrives 6# platform, passenger inside the vehicle's number is 80, therefore the 6th regular bus is 6# platform ridership=(2 × 18/50-17/47) × 80=28.7 ≈ 29 people that get off
The number of waiting while calculating next time Public Transit Bus Stopping 6# platform:
The current station of the slave station estrade system acquisition number of waiting for bus is 5 people, the number that enters this station between 8:36~8:41 is 7 people, the number that enters this station between 8:31~8:36 is 7 people, infer that accordingly the number that enters this station between 8:41~8:46 is 2 × 7-7=7 people, average next coastiong of per minute 7/5=1.4 people arrives 5# platform also needs 19.8 minutes, will have 27 people and enter platform (1.4 × 19.8=27.2 ≈ 27).Therefore the number of waiting when next time Public Transit Bus Stopping 6# platform is 5+27=32 people
Number of people in car=MIN (80,80+32-29)=80 people when the 6th regular bus leaves 6# platform; Also when the 6th class of bus arrives 7# platform, number of people in car is 80 people (being fully loaded with);
Issue following information at 6# platform: " 1 bus, apart from 4200 meters of our stations, arrives after 20 minutes, and ridership 80 people (being fully loaded with) while arriving at a station estimate that the number of getting off is 29 people ".

Claims (2)

1. a fast bus station service information system, it is characterized in that: described service information system comprises central processing platform, gps positioning subsystem, bus information subsystem, platform subsystem and can calculate in real time the bayonet socket subsystem of each road-section average OD road speed or time, wherein
Central processing platform, for the bus rapid transit line information of being responsible for storing gate position, corresponding BBS (Bulletin Board System) screen and stopping, stores car plate, seating capacity, fully loaded number and the ownership line information of each public transit vehicle;
Bus information subsystem and gps positioning subsystem, for gathering and store the car plate, position, current ridership of public transit vehicle, stopping the time at each station and the number information that gets on or off the bus on the way;
Platform subsystem, enters for gathering each time end the ridership that platform is waited;
Bayonet socket subsystem, for obtaining public transit vehicle in the average speeds in each section and inferring accordingly time of public transit vehicle in-track platform; By the bus rapid transit data prediction model measuring and calculating bus arrival data of arriving at a station;
BBS (Bulletin Board System) screen display at platform is shown corresponding information: seating capacity in car, fully loaded number, estimate arrival time, number of people in car and whether fully loaded while arriving at a station.
2. the quick public transport measuring method for information that arrives at a station, is characterized in that: described measuring method comprises the following steps:
(1), set up the bus rapid transit data prediction model that arrives at a station, the described bus rapid transit data prediction model that arrives at a station comprises following parameter: number of people in car C while waiting the number H of this bus, number U that vehicle is got on the bus at this platform, number D that vehicle is got off at this platform, vehicle to this station when the distance L of vehicle and this platform, vehicle arrival station required time T, vehicle reach the stylish number N that arrives at a station in this station, enter the probability P of taking this road bus rapid transit in the passenger of this platform, the number that waits the in real time W, vehicle of this bus is to this station in platform;
The ratio that is set in the passenger that platform gets off meets local linear rule, predicts as follows the number that platform is got off:
Predictor formula 1:
Passenger's ratio of getting off in passenger's ratio-x-1 regular bus of getting off in x regular bus=
Passenger's ratio of getting off in passenger's ratio-x-2 regular bus of getting off in x-1 regular bus
Also:
Passenger's ratio of getting off in passenger's ratio-x-2 regular bus of getting off in passenger ratio=2* x-1 regular bus of getting off in x regular bus;
Be set in enter platform ridership meet local linear rule, platform is according to the once nearly n minute number that enters the station of every n minute statistics, the composition ordered series of numbers that enters the station, N 1, N 2..., N k..., have:
Predictor formula 2, k=3,4,5 ...:
N k-N k-1=N k-1-N k-2
Also: N k=2*N k-1-N k-2
The distance L of next class of bus and front platform is obtained by GPS positioning subsystem;
Next class of bus arrives front platform required time T and obtains by bayonet socket subsystem, and obtain manner is as follows:
(1.1.1) obtain vehicle location according to GPS positioning system;
(1.1.2) obtain from the section of vehicle current location in-track platform process according to vehicle location;
(1.1.3) obtain in real time average running time in each section;
(1.1.4) calculate the temporal summation of vehicle through these sections;
It is as follows that next class of bus reaches the stylish number N obtain manner that arrives at a station of front platform:
(1.2.1) two number N that enter the station for n minute before slave station estrade system acquisition 1and N 2;
(1.2.2) arrive this station required time T according to vehicle, be converted into several n minute,
And then formation ordered series of numbers N 1, N 2, N 3..., N k, k=[T/n];
(1.2.3) calculate successively N according to predictor formula 2 3..., N k;
(1.2.4) vehicle reaches the stylish number N=N that arrives at a station in this station 3+ N 4+ ..., N k;
(1.2.5) due to the every n of system minute statistics one secondary data, therefore every n minute reruns once
The number of newly arriving at a station;
Enter that in the passenger of certain platform, to take the probability P obtain manner of each circuit bus rapid transit as follows:
(1.3.1) initialization: add up platform number and the get on the bus number of nearest Yi Zhouge road quick public transport in the time that this platform is stopped, this bus get on the bus total number of persons and the ratio of total ridership that enters platform, be passenger and take the probability P of corresponding quick public transport circuit 0, all time point P initialization values are all set to P 0;
(1.3.2) P value update algorithm: when certain moment public transit vehicle arrives this platform, after passenger loading, vehicle does not carry completely, and the passenger who takes this road public transport all gets on the bus, and remaining passenger does not all take the public transport of this circuit, and this time point P value is adjusted as follows:
The platform total passenger of waiting when P=P/2+(gets on the bus ridership/arrive at a station)/2
Calculate thus the probability of taking this road bus rapid transit in the passenger that each time point enters this platform;
The number of waiting the in real time W of each public bus network of certain platform obtains in the following manner:
(1.4.1) establishing this platform has k bar bus routes, and the personnel of entering the station take the general of each circuit
Rate is P successively 1, P 2... P k;
(1.4.2) initialization, setting platform total number of persons is W always, each the circuit number of waiting is followed successively by:
W 1=W always* P 1
W 2=W always* P 2
W k=W always* P k
(1.4.3) W value update algorithm:
I. each passenger enters platform needs to swipe the card, the people that often comes in, and each bus waiting number added value is followed successively by P 1, P 2... P k1.4.
Ii.Dang Mou road bus is come this platform, and the number of getting on the bus is U 1, underload or U when if vehicle leaves 1>W 1, think that this road public transport passenger that waits all gets on the bus, therefore by W 1be set to 0, other public transport number of waiting in real time is all multiplied by (W always-U 1)/W always
Fully loaded and U when iii. if vehicle leaves 1<=W 1:
W always=W always-U 1
W 1=W 1—U 1
Other are constant;
The number N* that when vehicle waits next regular bus of the number of waiting in real time W+ of taking this regular vehicle in this platform of number H=of this bus during to certain platform and arrives this platform, expectation can arrive newly takes the probability P of this route to passenger;
(2) when next time regular bus arrives certain platform, number of people in car C, the number U getting on the bus and the number D that gets off predict as follows:
(2.1) set between regular bus and this platform and have k platform, number consecutively be No. 1 platform, No. 2 platform ..., k platform, described k platform is this platform;
(2.2) number of people in car C and the number of getting off while calculating successively next regular bus and arrive j platform, j=1,2 ..., k;
Step 2.2.1. makes j=1, number of people in car C when No. 1 platform 1be when real-time number in front truck, can from bus information subsystem, obtain number of people in car C while arriving No. 1 platform 1known;
Step 2.2.2. obtains waiting when next regular bus arrives j platform the number H of this bus by step (1) j;
Several Z that have a full house of next time regular bus of step 2.2.3. obtain from bus information subsystem, therefore next regular bus is at the j platform number U that gets on the bus jcalculate by following formula:
U j=MIN(H j,Z-C j
The number of people in car of the arrival j platform of nearest two regular buses of this circuit of step 2.2.4. and the number of getting off are all obtained from bus information subsystem, calculate thus passenger's ratio that nearest two regular buses are got off;
Step 2.2.5. is according to step 2.2.2 result of calculation, passenger's the ratio of getting off when applying mechanically predictor formula 1 and can calculating next regular bus and arrive j platform;
Step 2.2.6. calculates next regular bus number of getting off D at j platform j, D jnumber of people in car C when=in-track platform j* passenger's the ratio of getting off when next regular bus arrives j platform;
When next regular bus of step 2.2.7. rolls j platform away from, number of people in car predicted value can be calculated by following formula:
C j+1=C j+U j-D j
Get successively j=2,3 ..., k, repeating step 2.2.2~2.2.7, can calculate next regular bus and arrive the 2nd, 3 ..., number of people in car C, the number U getting on the bus and the number D that gets off when k platform.
CN201310703566.6A 2013-12-19 2013-12-19 A kind of fast bus station service information system and quick public transport arrive at a station the measuring method of information Active CN103778778B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310703566.6A CN103778778B (en) 2013-12-19 2013-12-19 A kind of fast bus station service information system and quick public transport arrive at a station the measuring method of information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310703566.6A CN103778778B (en) 2013-12-19 2013-12-19 A kind of fast bus station service information system and quick public transport arrive at a station the measuring method of information

Publications (2)

Publication Number Publication Date
CN103778778A true CN103778778A (en) 2014-05-07
CN103778778B CN103778778B (en) 2015-10-28

Family

ID=50570962

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310703566.6A Active CN103778778B (en) 2013-12-19 2013-12-19 A kind of fast bus station service information system and quick public transport arrive at a station the measuring method of information

Country Status (1)

Country Link
CN (1) CN103778778B (en)

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104064028A (en) * 2014-06-23 2014-09-24 银江股份有限公司 Bus arrival time predicting method and system based on multivariate information data
CN104574946A (en) * 2014-09-22 2015-04-29 北京易华录信息技术股份有限公司 Rapid bus transferring information carriage release method and system
CN104809344A (en) * 2015-04-23 2015-07-29 中山大学 IC (Integrated Circuit) card data-based estimation method for passenger flow in bus station interval
CN104867322A (en) * 2015-04-29 2015-08-26 奇瑞汽车股份有限公司 Method and device for determining bus stops
CN104882011A (en) * 2015-06-02 2015-09-02 健康宝互联网技术有限公司 Vehicle quick alarm-receiving and action-taking system and vehicle quick alarm-receiving and action-taking method
CN104916155A (en) * 2015-05-22 2015-09-16 深圳北斗应用技术研究院有限公司 Real-time public transportation information service system
CN105023437A (en) * 2015-08-21 2015-11-04 苏州大学张家港工业技术研究院 Method and system for establishing public transit OD matrix
CN106067200A (en) * 2016-05-30 2016-11-02 刘健 A kind of computer program controlling platform ticket checking machine gate and programmable control system
CN106067199A (en) * 2016-05-30 2016-11-02 刘健 A kind of computer program controlling platform ticket checking machine gate and computer network thereof
CN107545765A (en) * 2016-10-25 2018-01-05 郑州蓝视科技有限公司 Bus waiting monitoring method
CN107545767A (en) * 2016-10-25 2018-01-05 郑州蓝视科技有限公司 Bus scheduling method based on video monitoring
CN109035770A (en) * 2018-07-31 2018-12-18 上海世脉信息科技有限公司 The real-time analyzing and predicting method of public transport passenger capacity under a kind of big data environment
CN109241136A (en) * 2018-08-24 2019-01-18 深圳市赛为智能股份有限公司 Bus waiting monitoring method, device, computer equipment and storage medium
CN110570127A (en) * 2019-09-12 2019-12-13 启迪数华科技有限公司 intelligent public transportation system, and vehicle operation scheduling method and device
CN111653092A (en) * 2020-05-20 2020-09-11 苏交科集团股份有限公司 Bus route is wisdom public transit management monitored control system in coordination
CN114005268A (en) * 2021-10-21 2022-02-01 广州通达汽车电气股份有限公司 Bus interval scheduling method, device, equipment and storage medium
CN115829210A (en) * 2023-02-20 2023-03-21 安徽阿瑞特汽车电子科技有限公司 Intelligent monitoring and management method, system and storage medium for automobile driving process

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101388143A (en) * 2007-09-14 2009-03-18 同济大学 Method and system for predicting bus arrival time based on floating car data
CN101615340A (en) * 2009-07-24 2009-12-30 北京工业大学 Real-time Information Processing Method in Dynamic Bus Dispatching
JP4752274B2 (en) * 2005-01-21 2011-08-17 日本電気株式会社 Time required prediction system, server, portable terminal, time required prediction method and program
CN203217763U (en) * 2013-03-26 2013-09-25 天津斯凯沃德信息科技有限公司 Intelligent bus station board system
CN103426300A (en) * 2012-05-18 2013-12-04 李志恒 System and method for improving bus rapid transit dispatch precision

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4752274B2 (en) * 2005-01-21 2011-08-17 日本電気株式会社 Time required prediction system, server, portable terminal, time required prediction method and program
CN101388143A (en) * 2007-09-14 2009-03-18 同济大学 Method and system for predicting bus arrival time based on floating car data
CN101615340A (en) * 2009-07-24 2009-12-30 北京工业大学 Real-time Information Processing Method in Dynamic Bus Dispatching
CN103426300A (en) * 2012-05-18 2013-12-04 李志恒 System and method for improving bus rapid transit dispatch precision
CN203217763U (en) * 2013-03-26 2013-09-25 天津斯凯沃德信息科技有限公司 Intelligent bus station board system

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104064028B (en) * 2014-06-23 2016-04-06 银江股份有限公司 Based on public transport arrival time Forecasting Methodology and the system of multiple information data
CN104064028A (en) * 2014-06-23 2014-09-24 银江股份有限公司 Bus arrival time predicting method and system based on multivariate information data
CN104574946A (en) * 2014-09-22 2015-04-29 北京易华录信息技术股份有限公司 Rapid bus transferring information carriage release method and system
CN104574946B (en) * 2014-09-22 2016-09-14 北京易华录信息技术股份有限公司 A kind of quick public transport vehicle transfer information compartment dissemination method and system
CN104809344B (en) * 2015-04-23 2017-11-07 中山大学 A kind of interval passenger flow method of estimation in the bus station based on IC-card data
CN104809344A (en) * 2015-04-23 2015-07-29 中山大学 IC (Integrated Circuit) card data-based estimation method for passenger flow in bus station interval
CN104867322A (en) * 2015-04-29 2015-08-26 奇瑞汽车股份有限公司 Method and device for determining bus stops
CN104916155A (en) * 2015-05-22 2015-09-16 深圳北斗应用技术研究院有限公司 Real-time public transportation information service system
CN104882011A (en) * 2015-06-02 2015-09-02 健康宝互联网技术有限公司 Vehicle quick alarm-receiving and action-taking system and vehicle quick alarm-receiving and action-taking method
CN105023437A (en) * 2015-08-21 2015-11-04 苏州大学张家港工业技术研究院 Method and system for establishing public transit OD matrix
CN105023437B (en) * 2015-08-21 2018-01-02 苏州大学 A kind of construction method and system of public transport OD matrixes
CN106067199A (en) * 2016-05-30 2016-11-02 刘健 A kind of computer program controlling platform ticket checking machine gate and computer network thereof
CN106067200A (en) * 2016-05-30 2016-11-02 刘健 A kind of computer program controlling platform ticket checking machine gate and programmable control system
CN107545765A (en) * 2016-10-25 2018-01-05 郑州蓝视科技有限公司 Bus waiting monitoring method
CN107545767A (en) * 2016-10-25 2018-01-05 郑州蓝视科技有限公司 Bus scheduling method based on video monitoring
CN109035770A (en) * 2018-07-31 2018-12-18 上海世脉信息科技有限公司 The real-time analyzing and predicting method of public transport passenger capacity under a kind of big data environment
CN109241136A (en) * 2018-08-24 2019-01-18 深圳市赛为智能股份有限公司 Bus waiting monitoring method, device, computer equipment and storage medium
CN110570127A (en) * 2019-09-12 2019-12-13 启迪数华科技有限公司 intelligent public transportation system, and vehicle operation scheduling method and device
CN110570127B (en) * 2019-09-12 2022-10-04 启迪数华科技有限公司 Intelligent public transportation system, and vehicle operation scheduling method and device
CN111653092A (en) * 2020-05-20 2020-09-11 苏交科集团股份有限公司 Bus route is wisdom public transit management monitored control system in coordination
CN114005268A (en) * 2021-10-21 2022-02-01 广州通达汽车电气股份有限公司 Bus interval scheduling method, device, equipment and storage medium
CN115829210A (en) * 2023-02-20 2023-03-21 安徽阿瑞特汽车电子科技有限公司 Intelligent monitoring and management method, system and storage medium for automobile driving process

Also Published As

Publication number Publication date
CN103778778B (en) 2015-10-28

Similar Documents

Publication Publication Date Title
CN103778778B (en) A kind of fast bus station service information system and quick public transport arrive at a station the measuring method of information
CN107194497B (en) A travel path planning method for urban rail transit passengers under emergencies
CN105070037B (en) A kind of public traffic information platform and progress control method that integrated management is reported
CN110047279B (en) A method for determining the dispatch amount of shared bicycles based on order data
CN104809344B (en) A kind of interval passenger flow method of estimation in the bus station based on IC-card data
CN105719475B (en) A kind of elastic public bus network is set and running scheduling method
US10279818B2 (en) Method for directing passengers of public means of transport
CN107438226B (en) Order issuing processing method and server
Qiu et al. Demi-flexible operating policies to promote the performance of public transit in low-demand areas
CN104240529B (en) Method and system for predicting arrival time of buses
CN104021668B (en) A kind of public transport supply and demand state-detection and prognoses system and method
CN103824447A (en) Reservation transfer method and apparatus for public transport means
US20140188382A1 (en) Vehicle route planning method and apparatus
CN105225472A (en) A kind of share-car method and apparatus
CN106530680B (en) A kind of public bus network composite services method based on main station express bus
CN102394011A (en) Automatic dynamic bus scheduling system and method
CN112819316B (en) Hub transportation energy identification method of comprehensive passenger transport hub rail transit system
CN105070043A (en) Intelligent bus stop system
CN104992555A (en) Rail station linkage facility bus stop scale prediction method
CN102063791B (en) Public transport travelling control method by combining signal control with positioning monitoring
JP4910432B2 (en) Vehicle congestion situation prediction system and method, program
CN103927893B (en) A kind of bus Forecasting Methodology time of arrival based on coil checker
CN107862865B (en) Travel information prediction method and device
CN110390489A (en) A kind of public transport way station berth Capacity Analysis Method
CN103903472A (en) Real-time BRT vehicle pull-in optimization and platform passenger flow guidance system and method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CP01 Change in the name or title of a patent holder

Address after: 310012 1st floor, building 1, 223 Yile Road, Hangzhou City, Zhejiang Province

Patentee after: Yinjiang Technology Co.,Ltd.

Address before: 310012 1st floor, building 1, 223 Yile Road, Hangzhou City, Zhejiang Province

Patentee before: ENJOYOR Co.,Ltd.

CP01 Change in the name or title of a patent holder