CN114038202A - Parking guidance system and method based on intelligent park traffic flow - Google Patents
Parking guidance system and method based on intelligent park traffic flow Download PDFInfo
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- CN114038202A CN114038202A CN202111457792.1A CN202111457792A CN114038202A CN 114038202 A CN114038202 A CN 114038202A CN 202111457792 A CN202111457792 A CN 202111457792A CN 114038202 A CN114038202 A CN 114038202A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000000611 regression analysis Methods 0.000 claims description 4
- 238000013468 resource allocation Methods 0.000 abstract description 2
- 230000002194 synthesizing effect Effects 0.000 abstract description 2
- 230000006399 behavior Effects 0.000 description 3
- 206010039203 Road traffic accident Diseases 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
-
- 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
-
- 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
-
- 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
- G08G1/142—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces external to the vehicles
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Abstract
The invention relates to the field of signal devices, in particular to a parking guidance system and a parking guidance method based on intelligent park traffic flow, which comprises the following steps: collecting traffic data in an intelligent park and extracting key fields; predicting the remaining number of parking lots based on the parking path and traffic data on the path; generating recommendation information based on the parking time from the current vehicle to the rest parking spaces; and displaying and reminding the recommended information. Through gathering the inside road traffic data of wisdom garden and synthesizing the vehicle driving track on the high-precision map and carrying out each parking area parking stall distribution, the route planning of parking for the car owner can find the parking stall more high-efficiently, solves the parking stall in a plurality of parking areas in the garden and uses and can not carry out reasonable resource allocation according to idle period, causes the problem that the parking stall is scarce or surplus.
Description
Technical Field
The invention relates to the field of signal devices, in particular to a parking guidance system and method based on intelligent park traffic flow.
Background
The traffic guidance means that road real-time flow data are acquired through a real-time traffic flow data acquisition system, and the data are automatically processed by a computer system and then automatically issued on a display screen to provide traffic information of related roads and road networks in the driving front for traffic participants. The issued information comprises the contents of traffic conditions (smooth traffic, slow running and congestion), travel time, emergency events (traffic accidents, temporary traffic control and special weather), parking lot parking space information and the like, provides reference for reasonably selecting a travel route for traffic participants, and achieves the aims of balancing traffic flow, reducing running time loss and improving parking efficiency.
The existing traffic guidance mode has unsatisfactory effect, and a car owner cannot efficiently find a parking space.
Disclosure of Invention
The invention aims to provide a parking guidance system and a parking guidance method based on intelligent park traffic flow, and aims to enable car owners in a park to park more efficiently.
To achieve the above object, in a first aspect, the present invention provides a parking guidance method based on intelligent park traffic flow, including: collecting traffic data in an intelligent park and extracting key fields;
predicting the remaining number of parking lots based on the parking path and traffic data on the path;
generating recommendation information based on the parking time from the current vehicle to the rest parking spaces;
and displaying and reminding the recommended information.
Wherein, gather the traffic data in the wisdom garden and extract the concrete step of key field and include:
collecting traffic data in an intelligent park;
key fields are extracted based on the traffic data.
The slip ring comprises a ring body and a plurality of rotating blocks, the rotating blocks are rotatably connected with the ring body, and the rotating blocks are arranged corresponding to the clamping plates.
The traffic data comprises lane traffic volume and abnormal traffic state, and the key fields comprise the acquisition time, the acquisition place and the reporting object of the traffic data.
The method comprises the following specific steps of predicting the number of remaining parking spots of a parking lot based on a parking path and traffic data on the path:
generating a plurality of parking paths based on a plurality of parking lots of a park map;
obtaining traffic data on a corresponding parking path based on the key field, and calculating a key factor value;
calculating the time for the vehicle to reach the parking lot based on the key factor value;
the number of remaining vehicle positions is predicted based on the arrival time.
Wherein the key factor values include vehicle speed, average vehicle length, queue length, and abnormal jam point.
The generating of the recommendation information based on the parking time from the current vehicle to the remaining parking space specifically includes: and calculating parking recommendation information of each parking lot through a multiple regression analysis algorithm, and preferentially recommending other parking lots if the predicted remaining parking space of the current parking lot is less than 10% of the total amount.
In a second aspect, the present invention further provides a parking guidance system based on intelligent park traffic flow, including: the system comprises front-end acquisition equipment, a path generation module, a recommendation module and a display module, wherein the front-end acquisition equipment, the path generation module, the recommendation module and the display module are sequentially connected;
the front-end acquisition equipment is used for acquiring traffic data in the intelligent park and extracting key fields;
the route generation module is used for predicting the number of remaining vehicle digits of the parking lot based on the parking route and traffic data on the route;
the recommendation module is used for generating recommendation information based on the parking time from the current vehicle to the rest parking spaces;
and the display module is used for displaying and reminding the recommendation information.
The invention discloses a parking guidance system and a parking guidance method based on intelligent park traffic flow, relates to the field of signal devices, and particularly relates to a parking guidance system and a parking guidance method based on intelligent park traffic flow, which comprises the following steps: collecting traffic data in an intelligent park and extracting key fields; predicting the remaining number of parking lots based on the parking path and traffic data on the path; generating recommendation information based on the parking time from the current vehicle to the rest parking spaces; and displaying and reminding the recommended information. Through gathering the inside road traffic data of wisdom garden and synthesizing the vehicle driving track on the high-precision map and carrying out each parking area parking stall distribution, the route planning of parking for the car owner can find the parking stall more high-efficiently, solves the parking stall in a plurality of parking areas in the garden and uses and can not carry out reasonable resource allocation according to idle period, causes the problem that the parking stall is scarce or surplus.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a parking guidance method based on intelligent campus traffic flow according to the present invention.
FIG. 2 is a flow chart of the present invention for collecting traffic data and extracting key fields in a smart campus.
Fig. 3 is a flowchart of the present invention for predicting the number of remaining vehicle digits in a parking lot based on a parking path and traffic data on the path.
Fig. 4 is a block diagram of a parking guidance system based on intelligent campus traffic flow according to the present invention.
The system comprises a front-end acquisition device, a 2-path generation module, a 3-recommendation module and a 4-display module.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
Referring to fig. 1 to 3, in a first aspect, the present invention provides a parking guidance method based on intelligent park traffic flow, including:
s101, collecting traffic data in an intelligent park and extracting key fields;
the method comprises the following specific steps:
s201, collecting traffic data in the intelligent park;
s202 extracts key fields based on the traffic data.
The traffic data comprises lane traffic volume and abnormal traffic states, wherein the abnormal traffic states can comprise illegal behaviors (such as red light running, illegal turning, illegal parking and the like) and traffic events (traffic accidents and road occupation information), and the key fields comprise the acquisition time, the acquisition place and the reported object of the traffic data. The reporting objects comprise equipment numbers, intersection names, lane number lane flow directions, vehicle speeds, flow rates, average time occupancy, average vehicle lengths and queuing lengths; an illegal event, an illegal location, an illegal type; event type, time of occurrence, latitude and longitude, event description, etc.
S102, predicting the number of remaining vehicle digits of the parking lot based on the parking path and traffic data on the path;
the method comprises the following specific steps:
s301, generating a plurality of parking paths based on a plurality of parking lots of a park map;
the historical driving track route data of the vehicles in the current time range (which can be set to be 5 minutes) in the park are inquired, the vehicle passing records obtained by electronic police equipment at multiple points in the park are obtained according to the number plate numbers and the passing time, the vehicle tracks of the current vehicles are obtained, meanwhile, the historical driving tracks at different points can be inquired according to the number plate numbers, and the historical driving tracks are obtained.
S302, acquiring traffic data on a corresponding parking path based on the key field, and calculating key factor values;
the key factor values include vehicle speed, average vehicle length, queuing length and abnormal jam point, and also include flow and average time occupancy.
S303, calculating the time of the vehicle reaching the parking lot based on the key factor value;
by the formula:
l＝v*t
and calculating the passing time of the vehicle to each parking lot, wherein l is the distance to the parking lot, v is the speed of the vehicle, and t is the passing time to the parking lot.
S304 predicts the number of remaining vehicle positions based on the arrival time.
The parking position reporting interface of the parking system can inquire the parking position states of all parking lots in the existing park, including the total number of parking positions and the number of spare parking positions, and then the predicted number of parking positions can be obtained by combining the obtained passing time, so that the number of remaining parking positions at a certain time point in the future can be known.
S103, generating recommendation information based on the parking time from the current vehicle to the rest parking spaces;
the method specifically comprises the following steps: and calculating parking recommendation information of each parking lot through a multiple regression analysis algorithm, and preferentially recommending other parking lots if the predicted remaining parking space of the current parking lot is less than 10% of the total amount.
Under the condition of not influencing the current road traffic jam, parking completion within 10 minutes is taken as a limiting condition, the parking recommendation index of each parking lot is calculated, and the main influencing factors are as follows:
a. the distance between the current intersection position and each parking lot;
b. the number of the vacant parking lots is currently;
c. predicting the passing time of the vehicle to each parking lot;
and calculating the parking recommendation index ranking of each parking lot through a multiple regression analysis algorithm. And if the predicted residual parking space of the current parking lot is less than 10% of the total amount, preferentially recommending other parking lots.
And S104, displaying and reminding the recommendation information.
At last, the recommended information is displayed on an induction screen or a vehicle-mounted system of a driver or a mobile phone APP so as to display and remind, the driver can receive the recommended information of the induction more conveniently and execute the recommended information so as to improve the processing efficiency, so that the vehicle can be guided to find a reasonable parking path as soon as possible, a proper parking space is found, parking resources are reasonably distributed, road congestion is avoided, and the use efficiency of the parking space is improved. .
In a second aspect, referring to fig. 4, the present invention further provides a parking guidance system based on intelligent park traffic flow, including: the system comprises a front-end acquisition device 1, a path generation module 2, a recommendation module 3 and a display module 4, wherein the front-end acquisition device 1, the path generation module 2, the recommendation module 3 and the display module 4 are sequentially connected;
the front-end acquisition equipment 1 is used for acquiring traffic data in the intelligent park and extracting key fields;
the path generation module 2 is used for predicting the remaining vehicle number of the parking lot based on the parking path and the traffic data on the path;
the recommendation module 3 is used for generating recommendation information based on the parking time from the current vehicle to the rest parking spaces;
and the display module 4 is used for displaying and reminding the recommendation information.
In this embodiment, the front-end collecting device 1 includes an overspeed snapshot machine, a video monitor, an electronic police, a flow collector, a traffic signal controller, and the like, and can respectively collect the above-mentioned various traffic data, for example, the electronic police can collect traffic data and lane traffic flow, where the traffic data includes vehicle number plate number, number plate type, vehicle body color, driving direction, traffic time, and the like; the flow data comprises equipment numbers, intersection names, intersection positions, lane numbers, lane flow directions, vehicle speeds, flow rates, average time occupancy, average vehicle lengths, queuing lengths and the like; accessing a central platform through a message queue and http, and then collecting illegal behavior data including number plate numbers, number plate types, illegal events, illegal places, illegal types, illegal sources, filtering reasons, illegal states and the like; and accessing to the central platform through a message queue and http. The video monitor can collect traffic events including event types, event occurrence roads, occurrence road sections, occurrence time, reporting time, longitude and latitude, event description and the like; and accessing to the central platform through a message queue and http.
The path generation module 2 can predict the number of remaining parking spaces based on the parking path and the traffic data on the path, then compares the parking time of each parking space through the recommendation module 3 to obtain recommendation information, and finally displays and reminds through the display module 4, so that the processing efficiency is improved.
By collecting the traffic flow, illegal behaviors and traffic events of roads in the intelligent park, the vehicle driving tracks on the comprehensive high-precision map are used for carrying out parking guidance algorithm analysis such as parking space distribution, parking route planning, parking space guidance issuing and the like of each parking lot, and the problem that parking spaces are in shortage or surplus due to the fact that parking spaces cannot be reasonably allocated according to idle time intervals when the parking spaces in a plurality of parking lots in the park are used is solved.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. A parking guidance method based on traffic flow of an intelligent park is characterized in that,
the method comprises the following steps: collecting traffic data in an intelligent park and extracting key fields;
predicting the remaining number of parking lots based on the parking path and traffic data on the path;
generating recommendation information based on the parking time from the current vehicle to the rest parking spaces;
and displaying and reminding the recommended information.
2. The intelligent park traffic flow-based parking guidance method of claim 1,
the specific steps of collecting traffic data in the intelligent park and extracting the key fields comprise:
collecting traffic data in an intelligent park;
key fields are extracted based on the traffic data.
3. The intelligent park traffic flow-based parking guidance method of claim 2,
the traffic data comprises lane traffic volume and abnormal traffic state, and the key fields comprise the acquisition time, the acquisition place and the reporting object of the traffic data.
4. The intelligent park traffic flow-based parking guidance method of claim 3,
the specific steps of predicting the remaining vehicle number of the parking lot based on the parking path and the traffic data on the path are as follows:
generating a plurality of parking paths based on a plurality of parking lots of a park map;
obtaining traffic data on a corresponding parking path based on the key field, and calculating a key factor value;
calculating the time for the vehicle to reach the parking lot based on the key factor value;
the number of remaining vehicle positions is predicted based on the arrival time.
5. The intelligent park traffic flow-based parking guidance method of claim 4,
the key factor values include vehicle speed, average vehicle length, queue length, and abnormal jam point.
6. The intelligent park traffic flow-based parking guidance method of claim 5,
the generating of the recommendation information based on the parking time from the current vehicle to the remaining parking space specifically includes: and calculating parking recommendation information of each parking lot through a multiple regression analysis algorithm, and preferentially recommending other parking lots if the predicted remaining parking space of the current parking lot is less than 10% of the total amount.
7. A parking guidance system based on intelligent park traffic flow, which is applied to the parking guidance method based on intelligent park traffic flow according to any one of claims 1-6,
the method comprises the following steps: the system comprises front-end acquisition equipment, a path generation module, a recommendation module and a display module, wherein the front-end acquisition equipment, the path generation module, the recommendation module and the display module are sequentially connected;
the front-end acquisition equipment is used for acquiring traffic data in the intelligent park and extracting key fields;
the route generation module is used for predicting the number of remaining vehicle digits of the parking lot based on the parking route and traffic data on the route;
the recommendation module is used for generating recommendation information based on the parking time from the current vehicle to the rest parking spaces;
and the display module is used for displaying and reminding the recommendation information.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115440059A (en) * | 2022-07-22 | 2022-12-06 | 张伟 | Wisdom parking stall management system based on thing networking |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101958055A (en) * | 2010-11-03 | 2011-01-26 | 重庆瑞斯凯特科技有限责任公司 | Parking induction management system |
| CN105096636A (en) * | 2015-06-23 | 2015-11-25 | 中国联合网络通信集团有限公司 | Parking lot dynamic selection method and system |
| CN106503840A (en) * | 2016-10-17 | 2017-03-15 | 中国科学院深圳先进技术研究院 | Parking stall Forecasting Methodology and system can be used in parking lot |
| CN109615922A (en) * | 2018-12-28 | 2019-04-12 | 杭州文创企业管理有限公司 | A kind of induction in wisdom garden parking lot and seek vehicle system |
| CN110796885A (en) * | 2019-11-06 | 2020-02-14 | 北京交通大学 | Parking guidance method and parking lot guidance system |
| CN113658447A (en) * | 2021-07-16 | 2021-11-16 | 深圳康佳电子科技有限公司 | Parking guidance system and method for ground parking lot |
-
2021
- 2021-12-02 CN CN202111457792.1A patent/CN114038202A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101958055A (en) * | 2010-11-03 | 2011-01-26 | 重庆瑞斯凯特科技有限责任公司 | Parking induction management system |
| CN105096636A (en) * | 2015-06-23 | 2015-11-25 | 中国联合网络通信集团有限公司 | Parking lot dynamic selection method and system |
| CN106503840A (en) * | 2016-10-17 | 2017-03-15 | 中国科学院深圳先进技术研究院 | Parking stall Forecasting Methodology and system can be used in parking lot |
| CN109615922A (en) * | 2018-12-28 | 2019-04-12 | 杭州文创企业管理有限公司 | A kind of induction in wisdom garden parking lot and seek vehicle system |
| CN110796885A (en) * | 2019-11-06 | 2020-02-14 | 北京交通大学 | Parking guidance method and parking lot guidance system |
| CN113658447A (en) * | 2021-07-16 | 2021-11-16 | 深圳康佳电子科技有限公司 | Parking guidance system and method for ground parking lot |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115440059A (en) * | 2022-07-22 | 2022-12-06 | 张伟 | Wisdom parking stall management system based on thing networking |
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