CN103617728A - Bus dispatching method based on cloud computing - Google Patents
Bus dispatching method based on cloud computing Download PDFInfo
- Publication number
- CN103617728A CN103617728A CN201310661320.7A CN201310661320A CN103617728A CN 103617728 A CN103617728 A CN 103617728A CN 201310661320 A CN201310661320 A CN 201310661320A CN 103617728 A CN103617728 A CN 103617728A
- Authority
- CN
- China
- Prior art keywords
- bus
- fully loaded
- crowd
- reservation
- real
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000007689 inspection Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 claims description 4
- 230000008676 import Effects 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000007423 decrease Effects 0.000 abstract description 5
- 230000005484 gravity Effects 0.000 description 3
- PWPJGUXAGUPAHP-UHFFFAOYSA-N lufenuron Chemical compound C1=C(Cl)C(OC(F)(F)C(C(F)(F)F)F)=CC(Cl)=C1NC(=O)NC(=O)C1=C(F)C=CC=C1F PWPJGUXAGUPAHP-UHFFFAOYSA-N 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000037396 body weight Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
Images
Landscapes
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a bus dispatching method based on cloud computing. Bus operation data are dynamically obtained, processed and sent in real time through a cloud data center, so that a mobile phone client side checks the full load degree and positions of buses in real time, and a bus company can monitor the full load degree of the vehicles, reserving crowds and crowds to reserve. By using the bus dispatching method, a mobile phone user can reserve and select the bus vehicle, and the bus company can reasonably dispatch the buses according to the number of people to take a bus and appropriately increase or decrease the number of times of the buses.
Description
Technical field
The present invention relates to cloud computing application, be specifically related to a kind of bus scheduling system based on cloud computing, by the real-time operation data that obtains and process bus of native system, and operation data is sent to cell-phone customer terminal, realize client and be scheduled to, choose public transit vehicle, realize dynamically adjusting in real time and run train number of public transport company.
Technical background
At present cloud computing technology is progressively ripe, according to the theory of " technology changes life ", cloud computing also progressively be applied in daily life, go, for people's life has brought facility.
Bus is the instrument of the daily working of most of working clan, trip, also be that energy-saving and emission-reduction theory is advocated the trip instrument that everybody uses, but crowded impression, noisy environment often allow people hang back, and now bus company quotes sales volume decline, loss.
Search to the bottom, do not lie in bus train number and arrange redundancy, the personnel that take bus to reduce, and be that bus scheduling system is outmoded, not according to real-time passenger quantity scheduling, and still dispatch a car as per the schedule, the bus causing is empty, the fully loaded even overload of some buses.
Summary of the invention
The technical problem to be solved in the present invention is: for the outmoded decline of bus corporate profit, the passenger's phenomenon that complaints are heard everywhere causing of current bus scheduling system, propose a kind of bus scheduling system based on cloud computing.
The technical solution adopted in the present invention is:
A kind of bus scheduling method based on cloud computing, by cloud data center, dynamic Real-time Obtaining, processing, transmission bus operation data, make fully loaded degree and position that cell-phone customer terminal can real time inspection bus, public transport company can monitoring vehicle fully loaded degree, reservation crowd and treat reservation crowd, realize cellphone subscriber and subscribe, choose public transit vehicle; Realize public transport company according to personnel's to be taken advantage of number, reasonably scheduling, suitably increases and decreases bus number of times, thereby improves client's satisfaction and the efficiency of operation of public transport company.
Described method comprises that step is as follows:
1) based on C/S framework, server end adopts cloud computing technology, deposits the information of processing bus, the id of each bus for example, hardware facility gravity F(car in car), seating capacity n(car in car) and the maximum ridership m that allows of this car etc.; Client is applicable to cellphone subscriber's real time inspection;
2) setting pressure sensor on bus, the general pressure F(that obtains bus is real), the fully loaded degree of system-computed bus, imports cloud data center in real time into;
Fully loaded degree is divided into seat, nothing seat is idle, comfortable without seat, crowded four grades of nothing seat, and concrete computing method are:
Actual number of passengers n(takes advantage of) body weight (60kg) of=[F(real)-F(car)]/gravity acceleration g/per capita
When n(takes advantage of) during <n (car), the fully loaded degree of this car is for there being seat;
When n(takes advantage of) >n(car) and n(take advantage of) during <1/3m, the fully loaded degree of this car is idle without seat;
When n(takes advantage of) >n(car) and 1/3m<=n(take advantage of) during <=2/3m, the fully loaded degree of this car is comfortable without seat;
When n(takes advantage of) >n(car) and n(take advantage of) during >2/3m, the fully loaded degree of this car is crowded without seat;
3) GPS is installed on bus, the position that obtains bus, imports cloud data center in real time into;
4) position of the bus of Real-time Obtaining and fully loaded Du,You cloud data center by web network delivery to cell-phone customer terminal;
5) passenger, by cell-phone customer terminal according to the position of bus of Real-time Obtaining and fully loaded degree, subscribes and sits by bus, if the vehicle moving does not all meet the expectation of oneself, enters the reservation crowd that treats;
6) fully loaded degree, the reservation crowd of public transport company by monitoring vehicle and treat reservation crowd (personnel to be taken advantage of), in conjunction with the fully loaded degree of current vehicle in service, calculates and whether needs to increase or reduce the frequency of dispatching a car, and improves efficiency of operation.
Note: C/S framework, Client/Server or Client/Server, Client and Server are usually in respectively on two computing machines of wide apart, the task of Client program is that user's requirement is submitted to Server program, then the result that Server program is returned is shown to user with specific form; The task of Server program is to receive the services request that CLIENT PROGRAM proposes, and processes accordingly, then result is returned to CLIENT PROGRAM.
Beneficial effect of the present invention is:
By dynamic Real-time Obtaining, processing, the transmission bus operation data of cloud data center, make fully loaded degree and position that cell-phone customer terminal can real time inspection bus, realize cellphone subscriber and subscribe, choose public transit vehicle; Realize public transport company according to personnel's to be taken advantage of number, reasonably scheduling, suitable increase and decrease bus number of times, thus improve client's satisfaction and the efficiency of operation of public transport company.
Accompanying drawing explanation
Fig. 1 is by the realization flow figure of bus scheduling method.
Embodiment
With reference to the accompanying drawings, the present invention will be described in conjunction with the embodiments:
1, bus company is at the beginning of public transport cloud computing center is set up, and the essential information of each bus of typing, includes but not limited to hardware facility gravity F(car in bus id, car), seating capacity n(car in car) and the maximum ridership m that allows of this car etc.;
2, by being installed on sensor and the GPS in bus, the fully loaded degree and the position that obtain, calculate vehicle that system is real-time, the fully loaded degree of bus is divided into have seat, idle without seat, comfortable without seat, without the crowded four kinds of states of seat, send to cell-phone customer terminal;
3, passenger logs in bus scheduling system mobile phone client, checks the bus information of wanting to take, and subscribes bus, if institute's operational vehicle does not all meet expectation, the system of entering is treated subscription data base, thereby improve, takes satisfaction;
4, public transport company is according to information of vehicles and crowd's number to be subscribed, and judging whether needs to increase or reduce operation train number, thereby improves efficiency of operation.
Claims (2)
1. the bus scheduling method based on cloud computing, it is characterized in that: by cloud data center, dynamic Real-time Obtaining, processing, transmission bus operation data, make fully loaded degree and position that cell-phone customer terminal can real time inspection bus, fully loaded degree, the reservation crowd that public transport company can monitoring vehicle and treat reservation crowd.
2. a kind of bus scheduling method based on cloud computing according to claim 1, is characterized in that, described method comprises that step is as follows:
1) based on C/S framework, server end adopts cloud computing technology, deposits the information of processing bus, and client is applicable to cellphone subscriber's real time inspection;
2) setting pressure sensor on bus, the fully loaded degree of calculating bus, imports cloud data center in real time into;
3) GPS is installed on bus, the position that obtains bus, imports cloud data center in real time into;
4) position of the bus of Real-time Obtaining and fully loaded Du,You cloud data center by web network delivery to cell-phone customer terminal;
5) passenger, by cell-phone customer terminal according to the position of bus of Real-time Obtaining and fully loaded degree, subscribes and sits by bus, if the vehicle moving does not all meet the expectation of oneself, enters the reservation crowd that treats;
6) fully loaded degree, the reservation crowd of public transport company by monitoring vehicle and treat reservation crowd, in conjunction with the fully loaded degree of current vehicle in service, calculates and whether needs to increase or reduce the frequency of dispatching a car, and improves efficiency of operation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310661320.7A CN103617728B (en) | 2013-12-10 | 2013-12-10 | A kind of bus scheduling method based on cloud computing |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310661320.7A CN103617728B (en) | 2013-12-10 | 2013-12-10 | A kind of bus scheduling method based on cloud computing |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103617728A true CN103617728A (en) | 2014-03-05 |
CN103617728B CN103617728B (en) | 2016-04-20 |
Family
ID=50168431
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310661320.7A Active CN103617728B (en) | 2013-12-10 | 2013-12-10 | A kind of bus scheduling method based on cloud computing |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103617728B (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105280012A (en) * | 2015-11-27 | 2016-01-27 | 浪潮(北京)电子信息产业有限公司 | Bus dispatching system based on cloud computing |
CN106128107A (en) * | 2016-08-19 | 2016-11-16 | 福建天晴数码有限公司 | The sharing method of bus remaining seat number and system thereof |
CN107393329A (en) * | 2017-07-05 | 2017-11-24 | 邹晓虎 | A kind of bus intelligent dispatching method, apparatus and system |
CN109345857A (en) * | 2018-11-16 | 2019-02-15 | 浙江海洋大学 | A kind of urban mass-transit system operation method and bus platform of networking |
CN109544036A (en) * | 2018-12-18 | 2019-03-29 | 广东九联科技股份有限公司 | A kind of intelligent bus dispatching system and its method based on NB-Iot |
CN111599205A (en) * | 2020-04-17 | 2020-08-28 | 重庆交通大学 | Customized public transport remaining seat real-time publishing and booking system |
CN111724082A (en) * | 2020-07-06 | 2020-09-29 | 福建票付通信息科技有限公司 | Method for calculating number of dynamically scheduled vehicles in no-load mode of sightseeing vehicle in scenic spot |
CN112419705A (en) * | 2020-11-06 | 2021-02-26 | 杭州图软科技有限公司 | Public transit intelligent dispatching system based on big data |
CN115440076A (en) * | 2022-09-02 | 2022-12-06 | 南京智慧交通信息股份有限公司 | Intelligent bus arrival information visual scheduling system and method |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20030035342A (en) * | 2001-10-31 | 2003-05-09 | 에스케이 텔레콤주식회사 | Method of controlling bus speed using cellular phone |
CN102855599A (en) * | 2011-06-28 | 2013-01-02 | 王健 | Intelligent bus system |
CN103198650A (en) * | 2013-03-29 | 2013-07-10 | 天津理工大学 | Intelligent bus ordering system based on internet of things |
CN103426304A (en) * | 2012-10-23 | 2013-12-04 | 上海理工大学 | Intelligent bus station system |
-
2013
- 2013-12-10 CN CN201310661320.7A patent/CN103617728B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20030035342A (en) * | 2001-10-31 | 2003-05-09 | 에스케이 텔레콤주식회사 | Method of controlling bus speed using cellular phone |
CN102855599A (en) * | 2011-06-28 | 2013-01-02 | 王健 | Intelligent bus system |
CN103426304A (en) * | 2012-10-23 | 2013-12-04 | 上海理工大学 | Intelligent bus station system |
CN103198650A (en) * | 2013-03-29 | 2013-07-10 | 天津理工大学 | Intelligent bus ordering system based on internet of things |
Non-Patent Citations (1)
Title |
---|
刘志强: "智能公交调度监控系统的研究与开发", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105280012A (en) * | 2015-11-27 | 2016-01-27 | 浪潮(北京)电子信息产业有限公司 | Bus dispatching system based on cloud computing |
CN106128107A (en) * | 2016-08-19 | 2016-11-16 | 福建天晴数码有限公司 | The sharing method of bus remaining seat number and system thereof |
CN107393329A (en) * | 2017-07-05 | 2017-11-24 | 邹晓虎 | A kind of bus intelligent dispatching method, apparatus and system |
CN109345857A (en) * | 2018-11-16 | 2019-02-15 | 浙江海洋大学 | A kind of urban mass-transit system operation method and bus platform of networking |
CN109345857B (en) * | 2018-11-16 | 2021-04-20 | 浙江海洋大学 | Urban public transport system operation method and networking bus stop |
CN109544036A (en) * | 2018-12-18 | 2019-03-29 | 广东九联科技股份有限公司 | A kind of intelligent bus dispatching system and its method based on NB-Iot |
CN111599205A (en) * | 2020-04-17 | 2020-08-28 | 重庆交通大学 | Customized public transport remaining seat real-time publishing and booking system |
CN111724082A (en) * | 2020-07-06 | 2020-09-29 | 福建票付通信息科技有限公司 | Method for calculating number of dynamically scheduled vehicles in no-load mode of sightseeing vehicle in scenic spot |
CN112419705A (en) * | 2020-11-06 | 2021-02-26 | 杭州图软科技有限公司 | Public transit intelligent dispatching system based on big data |
CN112419705B (en) * | 2020-11-06 | 2021-10-19 | 杭州图软科技有限公司 | Public transit intelligent dispatching system based on big data |
CN115440076A (en) * | 2022-09-02 | 2022-12-06 | 南京智慧交通信息股份有限公司 | Intelligent bus arrival information visual scheduling system and method |
CN115440076B (en) * | 2022-09-02 | 2023-05-23 | 南京智慧交通信息股份有限公司 | Intelligent bus arrival information visual dispatching system and method thereof |
Also Published As
Publication number | Publication date |
---|---|
CN103617728B (en) | 2016-04-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103617728B (en) | A kind of bus scheduling method based on cloud computing | |
CN106357943B (en) | A kind of method and system of calling distribution | |
CN104537831B (en) | The method and apparatus of vehicle scheduling | |
CN109816128B (en) | Method, device and equipment for processing network taxi appointment orders and readable storage medium | |
CN106781432B (en) | A kind of method and device of public traffic vehicles schedule | |
CN101695034B (en) | Device and method for adjusting monitoring parameter of WEB service | |
CN107545724A (en) | A kind of dynamic dispatching method of bus, device and system | |
CN105608543B (en) | Charging station power distributing amount configuration method | |
CN103116980A (en) | Taxi resource scheduling method based on cloud terminals | |
CN103810552A (en) | Snack industry meal serving scheduling system | |
WO2012126227A1 (en) | Reservation system and method based on the internet of things | |
CN106161485B (en) | A kind of resource regulating method of infrastructure service cluster, device and system | |
CN105096601A (en) | Line load factor real-time calculating method based on bus mobile WIFI hotspot | |
CN112950312A (en) | Order processing method and device | |
CN108053278A (en) | Ticket processing method and system, computer readable storage medium | |
CN207037909U (en) | It is a kind of that the autonomous commuting regular bus intelligent management system for preengaging function of registering is had based on network | |
CN111898909A (en) | Unmanned bus dispatching method based on real-time requirements | |
CN109214577A (en) | A kind of composite transport channel percentage of passenger transport prediction technique | |
CN104320468A (en) | Server cluster deploying method based on cloud computing | |
CN108830496A (en) | A kind of vehicle dispatching method, device and computer readable storage medium | |
CN111832923A (en) | Public transport capacity dynamic optimization scheduling method based on travel demand prediction | |
CN107316090A (en) | A kind of intelligent bus booking method | |
CN107274664A (en) | Bus management platform and system | |
CN202205347U (en) | Self-help taxi real-time reservation device and self-help taxi real-time reservation system | |
CN110705446B (en) | Method and device for assisting riding |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | 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 | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20170207 Address after: 250100 room S05, building S311, science and Technology Park, No. 1036, wave road, hi tech Zone, Shandong, Ji'nan Patentee after: Inspur(Jinan)Data Technology Co.,Ltd Address before: 250014 Shandong Province, Ji'nan City hi tech Development Zone, Nga Road No. 1036 Patentee before: INSPUR ELECTRONIC INFORMATION INDUSTRY Co.,Ltd. |