CN105096601A - Line load factor real-time calculating method based on bus mobile WIFI hotspot - Google Patents
Line load factor real-time calculating method based on bus mobile WIFI hotspot Download PDFInfo
- Publication number
- CN105096601A CN105096601A CN201510511579.2A CN201510511579A CN105096601A CN 105096601 A CN105096601 A CN 105096601A CN 201510511579 A CN201510511579 A CN 201510511579A CN 105096601 A CN105096601 A CN 105096601A
- Authority
- CN
- China
- Prior art keywords
- bus
- load factor
- wifi
- real
- line
- 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.)
- Pending
Links
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention belongs to the technical field of intelligent public transport and specially relates to a line load factor real-time calculating method based on a bus mobile WIFI hotspot. The method comprises the following steps: 1) obtaining basic data of each bus in the current bus line; 2) extracting plate number ID data of each bus, and at least extracting real-time number N' of mobile phone users connected to the WIFI and corresponding to the plate number ID of each bus; 3) calculating actual total number of passengers on the single bus; 4) calculating quota carrying number of people on the single bus; 5) calculating load factor of the single bus; and 6) obtaining bus line load factor. The bus mobile WIFI hotspot is utilized as a basic technology supporting point to obtain the load factor of the current bus line so as to judge the design reasonability of the bus line and whether the bus line needs to be adjusted accordingly, and finally, the purposes of realizing bus-taking demand of each line and optimum balance of distribution and scheduling of the buses in the line are achieved.
Description
Technical field
The invention belongs to intelligent bus technical field, be specifically related to a kind of circuit load factor real-time computing technique moving WIFI hot spot based on public transport.
Background technology
Bus is the trip mode of domestic how metropolitan major public transportation, carries the travel amount of city nearly half.Along with the continuous growth of motor vehicle, urban transportation imbalance between supply and demand worsens, and the corresponding policy such as grade that country advocates public transport optimization promotes that traveler selects bus trip.Therefore this just has higher requirement to the passenger capacity of public transport and service quality, also it is also proposed corresponding requirement to the reasonably optimizing of public bus network simultaneously.
In view of this, the research at present for the optimal design of public bus network starts, and has initial achievements.But the embodiment of above-mentioned achievement, mostly concentrates on and arrange such as locating device or punch-card device etc. on each bus.Described by this just has in the such as notification number Chinese invention patent application of patent name for " public traffic vehicles schedule control system " that be " CN103093610A ": it is by self-service ticketing and check card by bus, when passenger loading, first check card in card reader, counter works, carries out ridership quantitative statistics.When exceeding this vehicle and being fully loaded with number, illustrate that the passenger of this circuit is more, dispensing device transmits a signal to central controller.The data analysis that central operation device is fed back to by the locating device on bus and dispensing device and calculating, public transit vehicle time interval of setting out of timely arrangement master station and frequency, and the public transit vehicle rotation each other of the different circuit of rational management.The maximum defect of above-mentioned traditional card metering pool mode is: first, plan as a whole high cost.Embody a concentrated reflection of when being optimized for circuit, need using every bar circuit each or be about to the bus that uses all needs to install above-mentioned positioning equipment of checking card, safeguard use all very worthy.Secondly, applicable surface is narrow.Also propose in above-mentioned document, prerequisite to be with " whole self-service ticketing and check card by bus " as object, can meet that each people taking this vehicle is conscious carries out this basic premise of checking card.Unmanned or few people checks card, and is all fatal on the accuracy impact of final statistics.How seeking the public bus network optimal way that a kind of cost performance is higher, while guaranteeing the terseness of statistic processes, can more ensure the accuracy of statistics, is this area compeled technical barrier to be solved nearly ten years.
Summary of the invention
Object of the present invention is for overcoming above-mentioned the deficiencies in the prior art, a kind of circuit load factor real-time computing technique moving WIFI hot spot based on public transport of more efficient quick is provided, it utilizes public transport to move WIFI hot spot as the basic fundamental strong point, to obtain the load factor of current public bus network to judge the design rationality of this public bus network and whether to need to adjust accordingly, finally reach the demand of taking of each line passengers and the optimization balance object of this circuit public transit vehicle allocation schedule; The present invention is widely applicable, more while the terseness guaranteeing statistic processes and low cost, can ensure the accuracy requirement of statistics.
For achieving the above object, present invention employs following technical scheme:
Move a circuit load factor real-time computing technique for WIFI hot spot based on public transport, comprise the following steps:
1) basic data of each bus of current public bus network, is obtained:
Above-mentioned basic data at least comprises the real-time mobile phone number of users real-time run location of the numbering of the WIFI of current public bus network, each bus car plate ID run along current public bus network, each bus and each bus linking WIFI; And by adding up the passenger data of each bus, obtaining the passengers quantity that each bus uses mobile phone to connect WIFI hot spot and accounting for total passengers quantity proportion, counting the expansion spline coefficient a of passenger on public transport with its inverse;
2), from above-mentioned basic data, extract each bus car plate ID data, and at least extract should the real-time mobile phone number of users of link WIFI of bus car plate ID, be designated as N
';
3), calculate actual passenger sum on single bus vehicle, computing formula is as follows:
N=a*N′
Wherein:
N is the actual passenger sum of this bus vehicle;
N ' is cellphone subscriber's sum that the WIFI of this bus connects;
A is the expansion spline coefficient of the passenger on public transport corresponding to this bus;
4), calculate the carrying staffing number of single bus, computing formula is as follows:
N
d=P
s+S
1/S
sp
Wherein,
N
dit is the carrying staffing number of this bus;
P
sit is the design seating capacity of this bus;
S
1can the area of standee in this bus;
S
spit is the useful area in this bus shared by every standee;
5), calculate single bus vehicle load factor, formula is as follows:
Wherein:
R is single bus load factor;
6), public bus network load factor is obtained by following formula:
Wherein:
R is circuit load factor;
N is the bus sum on this circuit;
R
iit is the load factor of i-th bus on this circuit;
L
ibe i-th bus on this circuit be r in load factor
itime distance travelled.
Major advantage of the present invention is:
1), the present invention broken the narrow and technology chains that cost is high traditional public bus network optimal way is brought of applicable surface, and what look for another way drops into sight in mobile WIFI hot spot ripe at present.And due to the continuous maturation of 4G technology, the mobile WIFI hot spot of outfit of each city bus generalization is for passenger, and cellphone subscriber then can free use traffic by being wirelessly connected to focus; Meanwhile, phone user information also can pass back to backstage with common research; Here it is for the invention provides best technical support.
Relative to traditional calculations mode, advantage of the present invention is: on the one hand, and application cost is lower.Because its data sampling can directly from mobile WIFI hot spot backstage, also the preposition operation namely sampled can be cancelled, and without the need to special installation data monitor supervision platform and equipment, thus directly striden across the data sampling step consuming cost most, dramatically reduce the application cost of whole optimizing process.On the other hand, applicable surface is wider.Due to the megatrend of surfing Internet with cell phone, after passenger loading, also initiatively can carry out free data cube computation, thus make backstage obtain corresponding data.Its whole sampling process not only goes for, in traditional " self-service ticketing and check card by bus ", at present all bus operation circuits that must be equipped with mobile WIFI hot spot all can using.In addition, disconnect along with getting on and off of passenger and reconnect user, the passenger data of current bus also can obtain in good time and continual refreshing, finally ensure that real-time when basic data is fed back and accuracy, this is also for the accuracy of this optimization computation process final data provides strong guarantee.
To sum up, the present invention moves WIFI hot spot technology by the current public transport generally adopted of employing looked for another way, and finally realizes the calculating of bus routes load factor, and then provides infallible data supporting for the follow-up optimization statistics of current line.By the bus routes load factor finally obtained, whether rationally can effectively assess current public bus network, and all whether this circuit bus amount, vehicle line haul hour dwell time of being even accurate to each bus meets the trip requirements of this line passengers, finally reaching the demand of taking of each line passengers and the optimization balance object of this circuit public transit vehicle allocation schedule, is also that each public bus network planning and the adjustment in whole city provides favourable foundation.
Accompanying drawing explanation
Fig. 1 is method flow diagram of the present invention.
Embodiment
For ease of understanding, composition graphs 1 pair of specific embodiment of the invention process does following further describing herein:
Method of the present invention comprises the following steps:
(1) basic data of each bus of current public bus network, is obtained;
(2) the WIFI connection data of single bus, is extracted;
(3), total passenger on bus vehicle is calculated;
(4) the carrying staffing number of bus, is calculated;
(5) bus vehicle load factor, is calculated;
(6), computational scheme load factor.
The first step, obtains the phone user information etc. that basic data that public transport moves WIFI comprises the real-time position of the numbering of WIFI, bus car plate, bus, link WIFI.The cellphone subscriber wherein linking WIFI is exactly the passenger above bus.Statistics determines the expansion spline coefficient a of passenger on public transport, and the passengers quantity also namely using mobile phone to connect WIFI hot spot accounts for the inverse of total passengers quantity proportion.The sampling statistics of the expansion spline coefficient a of passenger on public transport, according to reality, can carry out once large data sampling and investigation targetedly.Due to the same tendency of fixed route, the expansion spline coefficient value of the passenger on public transport that the calculating that the later stage relates to a can completely directly adopt primary statistics to calculate carries out corresponding substitution.
Second step, extracts the WIFI connection data of single bus, and the phone user information of the mainly WIFI connection of single bus, is designated as N ';
3rd step, calculate total passenger on bus vehicle, computing formula is as follows:
N=a*N′
Wherein: N is the total passenger of single bus vehicle;
N ' is cellphone subscriber's sum that the WIFI of single bus connects;
A is the expansion spline coefficient of single passenger on public transport.
4th step, the carrying staffing number calculating bus refers to the standard carrying staffing information calculating bus according to the relevant regulations of " passenger vehicle loading mass computing method " (GB/T12428-2005).Computing formula is as follows:
N
d=P
s+S
1/S
sp
Wherein,
N
dit is the carrying staffing number of bus
P
sit is the design seating capacity of bus;
S
1can the area of standee in bus;
S
spit is the useful area shared by every standee.
5th step, the single bus load factor computing formula moving WIFI hot spot based on public transport is as follows:
Wherein: r is single bus load factor.
6th step, computational scheme load factor is the mileage weighted mean value of each vehicle load factor on public bus network, also namely:
Wherein:
R is circuit load factor;
N is the bus sum on this circuit;
R
iit is the load factor of i-th bus on this circuit;
L
ibe i-th bus on this circuit be r in load factor
itime distance travelled.
To sum up, the present invention is by final obtained bus routes load factor, thus whether assessed current public bus network reasonable, and this circuit bus amount, vehicle line haul hour dwell time of being even accurate to each bus all whether meet the trip requirements of this line passengers.Even when such as peak period on and off duty or festivals or holidays going on a journey peak period, the public transit vehicle of some circuit is very crowded, the public transit vehicle of some circuit is when but ridership is less, also by the in good time feedback of basic data of the present invention, thus person holds accurate data in good time to make traffic control, to reach the optimization counterbalance effect of the demand of taking guaranteeing each line passengers and this circuit public transit vehicle allocation schedule of shooting the arrow at the target.Its application cost is low and achieve noticeable achievement, data measuring and calculating degree of accuracy is high and stable, cost performance is high, also meets the maximum using object to existing basic resource simultaneously, obviously very meets real-time property that current high efficiency smart traffic advocates, accuracy and high usage requirement.
Claims (1)
1. move a circuit load factor real-time computing technique for WIFI hot spot based on public transport, it is characterized in that comprising the following steps:
1) basic data of each bus of current public bus network, is obtained:
Above-mentioned basic data at least comprises the real-time mobile phone number of users real-time run location of the numbering of the WIFI of current public bus network, each bus car plate ID run along current public bus network, each bus and each bus linking WIFI; And by adding up the passenger data of each bus, obtaining the passengers quantity that each bus uses mobile phone to connect WIFI hot spot and accounting for total passengers quantity proportion, counting the expansion spline coefficient a of passenger on public transport with its inverse;
2), from above-mentioned basic data, extract each bus car plate ID data, and at least extract should the real-time mobile phone number of users of link WIFI of bus car plate ID, be designated as N ';
3), calculate actual passenger sum on single bus vehicle, computing formula is as follows:
N=a*N′
Wherein:
N is the actual passenger sum of this bus vehicle;
N ' is cellphone subscriber's sum that the WIFI of this bus connects;
A is the expansion spline coefficient of the passenger on public transport corresponding to this bus;
4), calculate the carrying staffing number of single bus, computing formula is as follows:
N
d=P
s+S
1/S
sp
Wherein,
N
dit is the carrying staffing number of this bus;
P
sit is the design seating capacity of this bus;
S
1can the area of standee in this bus;
S
spit is the useful area in this bus shared by every standee;
5), calculate single bus vehicle load factor, formula is as follows:
Wherein:
R is single bus load factor;
6), public bus network load factor is obtained by following formula:
Wherein:
R is circuit load factor;
N is the bus sum on this circuit;
R
iit is the load factor of i-th bus on this circuit;
L
ibe i-th bus on this circuit be r in load factor
itime distance travelled.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510511579.2A CN105096601A (en) | 2015-08-18 | 2015-08-18 | Line load factor real-time calculating method based on bus mobile WIFI hotspot |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510511579.2A CN105096601A (en) | 2015-08-18 | 2015-08-18 | Line load factor real-time calculating method based on bus mobile WIFI hotspot |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105096601A true CN105096601A (en) | 2015-11-25 |
Family
ID=54576917
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510511579.2A Pending CN105096601A (en) | 2015-08-18 | 2015-08-18 | Line load factor real-time calculating method based on bus mobile WIFI hotspot |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105096601A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105046962A (en) * | 2015-08-18 | 2015-11-11 | 安徽四创电子股份有限公司 | Bus-mobile-WIFI-hot-spot-based real-time calculation method of vehicle full-load rate |
CN106897298A (en) * | 2015-12-17 | 2017-06-27 | 北京奇虎科技有限公司 | Bus information-pushing method and device |
CN107270919A (en) * | 2016-04-07 | 2017-10-20 | 高德信息技术有限公司 | Bus routes stage division, device and bus routes air navigation aid, device |
CN107845259A (en) * | 2017-10-24 | 2018-03-27 | 东南大学 | Public transport operation situation real-time feedback system and public transport real-time running data processing method |
CN107901949A (en) * | 2017-11-24 | 2018-04-13 | 金绪林 | A kind of platform smart electronics protective device and method according to motor-car high ferro |
CN109800902A (en) * | 2018-12-11 | 2019-05-24 | 华南理工大学 | A kind of unmanned public transport optimization method of uninterrupted reciprocating flexible line length |
CN112419731A (en) * | 2021-01-22 | 2021-02-26 | 深圳市都市交通规划设计研究院有限公司 | Bus full load rate prediction method and system |
CN112907968A (en) * | 2021-02-01 | 2021-06-04 | 华录智达科技股份有限公司 | Intelligent bus non-contact novel coronavirus emergency prevention and control method |
CN113033896A (en) * | 2021-03-25 | 2021-06-25 | 福州市电子信息集团有限公司 | Intelligent bus scheduling method and device |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007109010A2 (en) * | 2006-03-16 | 2007-09-27 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communication systems |
CN103337022A (en) * | 2013-06-05 | 2013-10-02 | 袁义青 | A public transport electronic system |
CN103700174A (en) * | 2013-12-26 | 2014-04-02 | 中国电子科技集团公司第三十三研究所 | Method for data collection and OD (Origin-Destination) analysis of public transport passenger flow based on WIFI identity recognition |
CN104217367A (en) * | 2014-09-16 | 2014-12-17 | 北京交通大学 | Dynamic security risk assessment method of rail transit line |
-
2015
- 2015-08-18 CN CN201510511579.2A patent/CN105096601A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007109010A2 (en) * | 2006-03-16 | 2007-09-27 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communication systems |
CN103337022A (en) * | 2013-06-05 | 2013-10-02 | 袁义青 | A public transport electronic system |
CN103700174A (en) * | 2013-12-26 | 2014-04-02 | 中国电子科技集团公司第三十三研究所 | Method for data collection and OD (Origin-Destination) analysis of public transport passenger flow based on WIFI identity recognition |
CN104217367A (en) * | 2014-09-16 | 2014-12-17 | 北京交通大学 | Dynamic security risk assessment method of rail transit line |
Non-Patent Citations (1)
Title |
---|
刘欢,等: "《城市公交调度中满载率问题的研究》", 《交通运输工程与信息学报》 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105046962A (en) * | 2015-08-18 | 2015-11-11 | 安徽四创电子股份有限公司 | Bus-mobile-WIFI-hot-spot-based real-time calculation method of vehicle full-load rate |
CN106897298A (en) * | 2015-12-17 | 2017-06-27 | 北京奇虎科技有限公司 | Bus information-pushing method and device |
CN107270919A (en) * | 2016-04-07 | 2017-10-20 | 高德信息技术有限公司 | Bus routes stage division, device and bus routes air navigation aid, device |
CN107845259A (en) * | 2017-10-24 | 2018-03-27 | 东南大学 | Public transport operation situation real-time feedback system and public transport real-time running data processing method |
CN107901949A (en) * | 2017-11-24 | 2018-04-13 | 金绪林 | A kind of platform smart electronics protective device and method according to motor-car high ferro |
CN109800902A (en) * | 2018-12-11 | 2019-05-24 | 华南理工大学 | A kind of unmanned public transport optimization method of uninterrupted reciprocating flexible line length |
CN112419731A (en) * | 2021-01-22 | 2021-02-26 | 深圳市都市交通规划设计研究院有限公司 | Bus full load rate prediction method and system |
CN112419731B (en) * | 2021-01-22 | 2021-06-22 | 深圳市都市交通规划设计研究院有限公司 | Bus full load rate prediction method and system |
CN112907968A (en) * | 2021-02-01 | 2021-06-04 | 华录智达科技股份有限公司 | Intelligent bus non-contact novel coronavirus emergency prevention and control method |
CN113033896A (en) * | 2021-03-25 | 2021-06-25 | 福州市电子信息集团有限公司 | Intelligent bus scheduling method and device |
CN113033896B (en) * | 2021-03-25 | 2022-08-23 | 福州市电子信息集团有限公司 | Intelligent bus scheduling method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105096601A (en) | Line load factor real-time calculating method based on bus mobile WIFI hotspot | |
CN104021667B (en) | Integrate subscription services and the taxi dispatching system called a taxi in real time and scheduling method | |
CN103985247B (en) | Taxi Transport capacity dispatching system based on city chauffeur demand distribution density | |
CN103632532B (en) | A kind of abductive approach of calling a taxi of taxi | |
CN103198647B (en) | A kind of urban intelligent transportation query system based on Internet of Things | |
CN107180272B (en) | Electric vehicle parking lot charging method based on energy consumption control | |
CN104616076B (en) | A kind of optimization method and system of the multi-thread collaboration Management plan of urban track traffic | |
CN103198564A (en) | Public transport system and public transport billing method | |
CN105354786A (en) | Carbon emission reduction based quantification method for environmental benefits of urban rail transit | |
CN104867189A (en) | Method and device for fee charging at parking lot | |
CN103198565A (en) | Charge and passenger flow information acquisition method for bus IC (integrated circuit) cards | |
CN105046962A (en) | Bus-mobile-WIFI-hot-spot-based real-time calculation method of vehicle full-load rate | |
CN106601005B (en) | A kind of municipal intelligent traffic abductive approach based on RFID and wechat platform | |
CN105427594A (en) | Bidirectional-getting-on-passenger-flow-based obtaining method and system for bus section passenger flow volume | |
CN109308574A (en) | A kind of flexible bus dispatching method in internet of real-time response half | |
CN107240289A (en) | A kind of bus routes optimum management method and system | |
CN102394011A (en) | Automatic dynamic bus scheduling system and method | |
CN109993353A (en) | The selection of regular public traffic route and method of adjustment along a kind of rail traffic | |
CN103824447A (en) | Reservation transfer method and apparatus for public transport means | |
CN111882098A (en) | Railway station passenger flow and connection mode prediction method based on overall cooperation | |
CN107180403A (en) | A kind of public transport passengers statistical management method and system | |
CN106710009A (en) | Vehicle usage charging scheme based on internet of vehicles | |
CN104331820A (en) | Electric car charging and discharging electrovalence obtaining method and device | |
Li et al. | An incentive-based optimizing strategy of service frequency for an urban rail transit system | |
CN105761365A (en) | Internet of Things platform for emergency power supplies and intelligent transportation system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20151125 |