CN104346953A - Dynamic parking system based on cloud computing - Google Patents
Dynamic parking system based on cloud computing Download PDFInfo
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- CN104346953A CN104346953A CN201410585607.0A CN201410585607A CN104346953A CN 104346953 A CN104346953 A CN 104346953A CN 201410585607 A CN201410585607 A CN 201410585607A CN 104346953 A CN104346953 A CN 104346953A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
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Abstract
The invention provides a dynamic parking system based on cloud computing. The dynamic parking system is characterized in that firstly, parking strategies of all parking lots are set and comprise parking lot service time, parking type requirements, parking accounting strategies and the like; meanwhile, monitoring devices with enough quantity are installed on the parking lots, so parking lot information is enabled to be acquired in real time; when a driver successfully transmits a parking request to the dynamic parking system, the dynamic parking system acquires coordinates of a location where a user transmits the request, checks user information (containing vehicle information of the user, member levels of the user and the like ) and then acquires real-time parking capacity, waiting parking capacity, traffic flow, average parking time of the vehicles and detailed information of nearby parking lots from a data acquisition module according to the coordinates and the user information; the dynamic parking system transmits a line between the parking lot and the user to the user by computing to obtain a parking lot which is nearest to the user and has empty parking spaces.
Description
Technical field
The present invention relates to field of cloud calculation, the system of specifically a kind of dynamic parking based on cloud computing.
Background technology
Current, urban transport problems is outstanding day by day, and automobile pollution constantly increases, and the construction speed in parking lot lags far behind automobile growth rate, parking stall critical shortage.In addition, some parking garage installation location is not obvious, and inner structure is complicated, the full Status unknown of parking stall sky, and serious information is obstructed, causes very large difficulty to the quick parking of driver; Also result in the parking resource waste of a large amount of idle parking stalls and idle period simultaneously.
Meanwhile, along with the increase of traffic pressure, every field takes up research city parking problem, and such as present Google Maps, Baidu's map etc. all provide the parking lot information found near current location.But there is no information sharing between each parking lot, can not scale effect be formed, the information in parking lot can not be shown simultaneously, as whether also having empty parking space, whether blocking up.
Therefore, construction one macrotype platform relevant to parking service must be passed through.By cloud computing means, parking lot, driver are merged, real could provide scheme of stopping accurately for driver.
For this reason, we have proposed a kind of dynamic shutdown system based on cloud computing.
Summary of the invention
The technical solution adopted in the present invention: system comprises: 1) data acquisition module, 2) map Route Generation module, 3) scheduling strategy module, 4) management configuration module, wherein:
1) data acquisition module, add up the real-time parking capacity in parking lot over a period to come, wait for parking capacity, vehicle flow, vehicle average down time and details, the mode of data acquisition adopts Real-time Collection or timing acquiring, data acquisition module outputting parking field information detail-list;
2) map Route Generation module, runs in real time fashion, according to the parking information in current vehicle position and parking lot, calculates user and arrives the route information that can provide the most suitable parking lot of parking, and feed back to user, provides user and to drive a vehicle advisory information;
3) scheduling strategy module, is responsible for data management, collocation strategy; Cloud calculation service providing end, parking lot arranges the condition, price etc. of the service oneself provided in this module;
4) management configuration module, is responsible for network monitoring, alarm monitoring, safety management, the management of dynamic shutdown system self;
Concrete implementation step is as follows:
1) user successfully sends the request of parking to dynamic shutdown system;
2) operator starts map Route Generation, first location coordinates when user sends request is obtained, verified users data, then according to coordinate and subscriber data from the real-time parking capacity in the parking lot near data collecting module collected, wait for parking capacity, vehicle flow, vehicle average down time and details, route between this parking lot and user, by calculating the nearest parking lot having empty parking space of distance users, is sent to user by dynamic shutdown system;
3) different parking lots according to the condition of oneself by scheduling strategy module installation parking strategy, as only provide parking stall to not higher than 2 meters car or provide parking service etc. at times;
4) dynamically by management configuration module, shutdown system keeper checks that whether the network in different parking lot is normal and manage information such as the users of dynamic shutdown system;
5) this dynamic shutdown system is built based on cloud computing environment, uses distributed framework, and different modules can be built as required on different Cloud Servers.
Beneficial effect of the present invention is: can by different Parking information unification management huge for quantity of information, and fast query also provides parking path to driver, reduces energy consumption, raises the efficiency.
Embodiment
With reference to Figure of description, method of the present invention is described in detail below.
The modules such as the present invention is basic with data acquisition, take data analysis as core, polymerization self-management, form a unified invention.System comprises: data acquisition module, map Route Generation module, scheduling strategy module and management configuration module, as shown in Figure 1.Wherein:
1) data acquisition module, be the real-time parking capacity in parking lot in the statistics regular period, wait for parking capacity, vehicle flow, vehicle average down time and details, the mode of data acquisition adopts Real-time Collection or timing acquiring, data acquisition module outputting parking field information detail-list;
2) map Route Generation module, runs in real time fashion, according to the parking information in current vehicle position and parking lot, calculates user and arrives the route information that can provide the most suitable parking lot of parking, and feed back to user, provides user and to drive a vehicle advisory information;
3) scheduling strategy module, is responsible for data management, collocation strategy; Cloud calculation service providing end, parking lot arranges the condition, price etc. of the service oneself provided in this module;
4) management configuration module, is responsible for network monitoring, alarm monitoring, safety management, the management of dynamic shutdown system self.
Embodiment
Below by way of instantiation, implementation process of the present invention is described.
First the parking strategy in each parking lot being set, comprising parking lot service time, parking type requirement, parking charge strategy etc., in parking lot, the enough supervising devices of quantity being installed for guaranteeing Real-time Obtaining parking lot information simultaneously.
After driver successfully sends the request of parking to dynamic shutdown system, dynamic shutdown system obtains location coordinates when user sends request, verified users data (comprising member's rank etc. of the information of vehicles of user, user), then according to coordinate and subscriber data from the real-time parking capacity in the parking lot near data collecting module collected, wait for parking capacity, vehicle flow, vehicle average down time and details, route between this parking lot and user, by calculating the nearest parking lot having empty parking space of distance users, is sent to user by dynamic shutdown system.
Except the technical characteristic described in instructions, be the known technology of those skilled in the art.
Accompanying drawing explanation
The structural drawing of Fig. 1 system;
The workflow diagram of Fig. 2 system.
Claims (1)
1. based on a dynamic shutdown system for cloud computing, it is characterized in that dynamic shutdown system comprises: 1) data acquisition module, 2) map Route Generation module, 3) scheduling strategy module, 4) management configuration module, wherein:
1) data acquisition module, add up the real-time parking capacity in parking lot in the regular period, wait for parking capacity, vehicle flow, vehicle average down time and details, the mode of data acquisition adopts Real-time Collection or timing acquiring, data acquisition module outputting parking field information detail-list;
2) map Route Generation module, runs in real time fashion, according to the parking information in current vehicle position and parking lot, calculates user and arrives the route information that can provide the most suitable parking lot of parking, and feed back to user, provides user and to drive a vehicle advisory information;
3) scheduling strategy module, is responsible for data management, collocation strategy; Cloud calculation service providing end, parking lot arranges condition, the price of the service oneself provided in this module;
4) management configuration module, is responsible for network monitoring, alarm monitoring, safety management, the management of dynamic shutdown system self;
Concrete implementation step is as follows:
1) user successfully sends the request of parking to dynamic shutdown system;
2) operator starts map Route Generation, first location coordinates when user sends request is obtained from data acquisition module, verified users data, the real-time parking capacity in the parking lot near then gathering according to coordinate and subscriber data, wait for parking capacity, vehicle flow, vehicle average down time and details, route between this parking lot and user, by calculating the nearest parking lot having empty parking space of distance users, is sent to user by dynamic shutdown system;
3) different parking lots according to the condition of oneself by scheduling strategy module installation parking strategy, comprise provide parking stall to not higher than 2 meters car or provide parking service at times;
4) dynamically by management configuration module, shutdown system keeper checks that whether the network in different parking lot is normal and manage the user profile of dynamic shutdown system;
5) this dynamic shutdown system is built based on cloud computing environment, uses distributed framework, and different modules is built as required on different Cloud Servers.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410585607.0A CN104346953A (en) | 2014-10-28 | 2014-10-28 | Dynamic parking system based on cloud computing |
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| CN201410585607.0A CN104346953A (en) | 2014-10-28 | 2014-10-28 | Dynamic parking system based on cloud computing |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106652545A (en) * | 2015-10-28 | 2017-05-10 | 赵依军 | Method and system for optimizing processing of parking space reservation requests |
| CN107605218A (en) * | 2017-08-16 | 2018-01-19 | 深圳怡丰自动化科技有限公司 | Vehicle warehouse-out method and vehicle ex-warehouse system based on multi-storied garage |
| CN107767690A (en) * | 2017-11-09 | 2018-03-06 | 成都才智圣有科技有限责任公司 | Parking lot big data collection delivery system based on cloud computing |
| CN108665238A (en) * | 2018-05-04 | 2018-10-16 | 西安艾润物联网技术服务有限责任公司 | Parking lot information processing method, system and storage medium |
| CN109979233A (en) * | 2019-04-22 | 2019-07-05 | 浙江铭盛科技有限公司 | Parking planning system based on narrowband Internet of Things |
| CN114093197A (en) * | 2021-11-17 | 2022-02-25 | 东南大学 | Multi-win shared contract parking space system |
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| CN102722939A (en) * | 2012-06-18 | 2012-10-10 | 浙江工业大学 | Multifunctional parking space managing and guide system based on Internet of Things technology |
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| CA2631322A1 (en) * | 2005-11-29 | 2007-06-07 | Asahi Glass Company, Limited | Method of modifying chromosome |
| CN102568246A (en) * | 2010-04-09 | 2012-07-11 | 浙江大学 | Parking position guidance method based on vehicle-mounted navigator |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106652545A (en) * | 2015-10-28 | 2017-05-10 | 赵依军 | Method and system for optimizing processing of parking space reservation requests |
| CN106652545B (en) * | 2015-10-28 | 2021-03-30 | 赵依军 | Method and system for optimizing parking space reservation request |
| CN107605218A (en) * | 2017-08-16 | 2018-01-19 | 深圳怡丰自动化科技有限公司 | Vehicle warehouse-out method and vehicle ex-warehouse system based on multi-storied garage |
| CN107767690A (en) * | 2017-11-09 | 2018-03-06 | 成都才智圣有科技有限责任公司 | Parking lot big data collection delivery system based on cloud computing |
| CN108665238A (en) * | 2018-05-04 | 2018-10-16 | 西安艾润物联网技术服务有限责任公司 | Parking lot information processing method, system and storage medium |
| CN109979233A (en) * | 2019-04-22 | 2019-07-05 | 浙江铭盛科技有限公司 | Parking planning system based on narrowband Internet of Things |
| CN109979233B (en) * | 2019-04-22 | 2020-08-07 | 浙江铭盛科技有限公司 | Parking lot parking planning system based on narrowband Internet of things |
| CN114093197A (en) * | 2021-11-17 | 2022-02-25 | 东南大学 | Multi-win shared contract parking space system |
| CN114093197B (en) * | 2021-11-17 | 2022-09-30 | 东南大学 | Multi-win sharing contract parking space system |
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Application publication date: 20150211 |