CN114613145B - Passenger traffic flow perception early warning system and method under big data - Google Patents
Passenger traffic flow perception early warning system and method under big data Download PDFInfo
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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
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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Abstract
The invention discloses a passenger traffic flow perception early warning system and a method under big data, which comprises a cloud service platform, a data acquisition module, a warning module, an intelligent terminal, a Beidou positioning service unit, a database and an information transmission unit, wherein the cloud service platform is used for carrying out platform-type control management on the perception early warning system, and the system can calculate and predict the road condition of a road section which is passed by each time period when a user arrives at a destination to drive through the road section through the use of the cloud service platform, the data acquisition module, the warning module, the intelligent terminal, the Beidou positioning service unit, the database and the information transmission unit, thereby pre-judging whether the road is unblocked or blocked when the user passes through the road section at a certain moment in advance, and making corresponding early warning prompt for the user to make corresponding measures or change a driving route in time and avoiding driving into the road blocked road section, meanwhile, accidents caused by road congestion are reduced.
Description
Technical Field
The invention relates to the field of big data, in particular to a passenger traffic flow perception early warning system and method under the big data.
Background
Big data (big data), or huge data, refers to the data volume is huge enough that the data volume can not be captured, managed, processed and arranged in a reasonable time to become information which helps the enterprise to make business decision more positive; at present, with the rapid development of social economy, the living standard of people is gradually improved, the use of automobiles is gradually increased, such as driving to work and traveling for playing, and along with the occurrence of convenience, the increase of vehicles and the increasing occurrence of traffic accidents, an early warning system is generally adopted for early warning in order to reduce the occurrence of accidents, so that certain preparation is made in time for knowing the road condition, and the occurrence of accidents is reduced.
Some existing early warning systems can only display real-time road conditions in road sections in a navigation route and display current road condition congestion conditions, but cannot correspondingly predict whether roads are congested when passing through a certain road section at a certain time period, and the like, so that route changes or corresponding measures cannot be timely made.
Disclosure of Invention
The invention aims to provide a passenger traffic flow perception early warning system and method under big data to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides a passenger traffic flow perception early warning system under big data, includes cloud service platform, data acquisition module, warning module, intelligent terminal, big dipper location service unit, database and information transmission unit, cloud service platform is used for carrying out platform formula control management to perception early warning system, data acquisition module carries out data acquisition to the route of traveling, warning module is used for carrying out the early warning suggestion to corresponding measure is reminded, intelligent terminal is used for looking over perception early warning system data and route data information of traveling, cloud service platform's input is connected with data acquisition module, intelligent terminal, big dipper location service unit, database and information transmission unit's output respectively, cloud service platform's output is connected with data acquisition module, warning module, intelligent terminal, big dipper location service unit, The input of database and information transmission unit is connected, intelligent terminal and database communication connection, the data acquisition module includes traffic flow data acquisition unit, the circuit acquisition unit and the speed of a motor vehicle of traveling, traffic flow data acquisition unit is used for the data acquisition to the traffic flow on the same circuit of same period of the day, the circuit acquisition unit that traveles is gathered the circuit data of traveling, the speed of a motor vehicle acquisition unit is gathered and is transmitted the update to the real-time speed of a motor vehicle data of vehicle to know the time of traveling to a certain highway section, thereby can carry out the early warning more accurately and judge.
Further, the cloud service platform comprises a central processing unit, an information transceiving unit and a storage unit, wherein
The central processing unit is used for analyzing and integrating data, the information transceiving unit is used for transceiving information, and the storage unit is used for storing and using data.
Further, the storage unit comprises a body memory and a cloud memory.
Further, the warning module comprises a road condition warning unit and a traffic accident warning unit, the road condition warning unit is used for carrying out corresponding early warning according to whether the road condition of the driving line is unblocked or jammed, and the traffic accident warning unit is used for carrying out real-time monitoring and early warning on whether a traffic accident happens on the driving line so that a driver can timely change the driving line.
Further, the intelligent terminal comprises an input unit and a display unit, wherein the input unit is used for inputting data to the intelligent terminal, and the display unit is used for displaying system data.
Furthermore, the Beidou positioning service unit is used for providing positioning and navigation services for users through a Beidou navigation system.
Further, the database is used for providing comparison data and storing new data.
Further, the information transmission unit is used for transmitting information between the user and the cloud service platform through the big data and internet system.
The invention also provides a method of the passenger traffic perception early warning system under big data, which comprises the following steps:
a) the intelligent terminal starts the system to sense and early warn passenger traffic flow, and the data acquisition module
The method comprises the following steps of acquiring traffic flow data, acquiring data information of a driving line and monitoring and acquiring vehicle speed in real time on the same route at the same time period on the same day, and transmitting the acquired data to a cloud service platform;
b) the cloud service platform analyzes and integrates the acquired data, the warning module senses and pre-warns passenger traffic flow, and the number of the passenger traffic flow in the same road section in the same time period on a certain day is counted in the process of analyzing, processing and integrating the data
According to the following
Where n denotes a certain day from monday to sunday, m denotes a certain period from twenty-four hours to twenty-four hours a day, and when n =1, m =1,
representing the traffic flow through the same line from zero to one point in the morning on monday, when n =1, m =2,
the method comprises the steps that the traffic flow of the same line in one-point to two-point time periods in Monday morning is shown, when n =1 and m =24, the traffic flow of the same line in one-point to zero-point time periods in Monday 23 is shown, and when n =2 and m =1, the traffic flow of the same line in one-point time periods in Tuesday morning is shown;
c) the average traffic flow of the same road section in a certain time period of a day in the last year called from the database is called as H,
，
representing data proximity in the database
Average traffic flow during the 1 st-3 rd month period,
representing data proximity in the database
Average traffic flow during the 4 th-6 th month period,
representing data proximity in the database
Average traffic flow in the 7 th-9 th month period,
representing proximity in the database
Average traffic flow in the 10 th-12 th month period of (a);
d）
，
representing proximity in the database
The traffic flow in the 1 st-3 rd month time period of (a), z represents the total number in the time period range taken;
f) when the temperature is higher than the set temperature
When the vehicle passes through the same road section in the same time period on the same day, judging that the passing vehicle of the road tends to be saturated and can normally run, and carrying out secondary early warning reminding through the road condition warning unit, and paying attention to control the speed of the vehicle when the vehicle runs on the road section to keep the distance between the vehicles;
g) when the distance is less than 1F, predicting and judging that the traffic flow of the road section exceeds the amount of the road which can bear when the road section is driven, the road is congested and easy to have accidents, carrying out early warning prompt through the road condition warning unit, and predicting that the traffic flow of the road section passes through the road section in a certain time period
And meanwhile, the Beidou positioning service unit provides other routes leading to the destination with good road conditions after the routes of the surrounding destinations in the same direction are judged through data and are predicted and judged.
Compared with the prior art, the invention has the following beneficial effects:
the invention can predict the real-time condition of the road of the route which is traveled when a user arrives at a destination through the use of the arranged cloud service platform, the data acquisition module, the warning module, the intelligent terminal, the Beidou positioning service unit, the database and the information transmission unit, calculate and predict the road condition when the same time period passes through the same road section, judge in advance whether the road driving of the road section is smooth when the user arrives and drives into the road section, compare and judge the road is smooth, the road is saturated and can be normally carried out simultaneously according to the calculation result, the road is early warned in a crowded way and the route with good road condition is recommended, meanwhile, the system can update the data in real time, and can carry out the change of the real-time prejudgment result according to the self speed and the like, the accuracy of the prejudgment result is ensured, the system can prejudge in advance whether the road is smooth or crowded when the user passes through the road section at a certain moment, and corresponding early warning reminding is carried out, so that a user can take corresponding measures or change a driving route in time, the use of the system is more convenient, the road congestion road section is avoided, and accidents caused by road congestion are reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the module connection of the present invention as a whole;
in the figure: 1. a cloud service platform; 2. a data acquisition module; 3. a warning module; 4. an intelligent terminal; 5. a Beidou positioning service unit; 6. a database; 7. an information transmission unit; 8. a central processing unit; 9. an information transmitting and receiving unit; 10. a storage unit; 11. a traffic flow data acquisition unit; 12. a driving route acquisition unit; 13. a vehicle speed acquisition unit; 14. an input unit; 15. a display unit; 16. A road condition warning unit; 17. traffic accident alarm unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
As shown in fig. 1, the passenger traffic flow perception early warning system under big data comprises a cloud service platform 1, a data acquisition module 2, a warning module 3, an intelligent terminal 4, a Beidou positioning service unit 5, a database 6 and an information transmission unit 7, wherein the cloud service platform 1 is used for performing platform-type control management on the perception early warning system, the data acquisition module 2 is used for performing data acquisition on a driving route, the warning module 3 is used for performing early warning prompt and providing corresponding measure prompt, the intelligent terminal 4 is used for checking perception early warning system data and driving route data information, the input end of the cloud service platform 1 is respectively connected with the output ends of the data acquisition module 2, the intelligent terminal 4, the Beidou positioning service unit 5, the database 6 and the information transmission unit 7, and the output end of the cloud service platform 1 is respectively connected with the output ends of the data acquisition module 2, the warning module 3, the intelligent terminal 4, the Beidou positioning service unit 5, the database 6 and the information transmission unit 7, Warning module 3, intelligent terminal 4, big dipper location service unit 5, database 6 and information transmission unit 7's input is connected, intelligent terminal 4 and database 6 communication connection, data acquisition module 2 includes traffic flow data acquisition unit 11, the circuit acquisition unit 12 and the speed of a motor vehicle acquisition unit 13 of traveling, traffic flow data acquisition unit 11 is used for the data acquisition to the traffic flow on same day same period of time same circuit, the circuit acquisition unit 12 that travels gathers the circuit data of traveling, speed of a motor vehicle acquisition unit 13 gathers and transmits the update to the real-time speed of a motor vehicle data of vehicle to know the time of traveling to a certain highway section, thereby can carry out early warning judgement more accurately.
The cloud service platform 1 comprises a central processing unit 8, an information transceiving unit 9 and a storage unit 10, wherein the central processing unit 8 is used for analyzing, integrating and processing data, the information transceiving unit 9 is used for transceiving information, and the storage unit 10 is used for storing and using data.
The storage unit 10 includes a body memory and a cloud memory.
The warning module 3 comprises a road condition warning unit 16 and a traffic accident warning unit 17, wherein the road condition warning unit 16 is used for carrying out corresponding early warning according to whether the road condition of the driving line is unblocked or jammed, and the traffic accident warning unit 17 is used for carrying out real-time monitoring and early warning on whether a traffic accident happens on the driving line so that a driver can timely change the driving line. [0021] The intelligent terminal 4 comprises an input unit 14 and a display unit 15, wherein the input unit 14 is used for inputting data to the intelligent terminal 4, and the display unit 15 is used for displaying system data.
The Beidou positioning service unit 5 is used for providing positioning and navigation services for users through a Beidou navigation system.
The database 6 is used for providing comparison data and storing new data.
The information transmission unit 7 is used for mutual information transmission between the user and the cloud service platform 1 through a big data and internet system.
The invention also provides a use method of the passenger traffic perception early warning system under the big data, which comprises the following steps:
a) the intelligent terminal 4 is used for starting a system, sensing and early warning passenger traffic flow, acquiring data of traffic flow on the same route at the same time period in the same day, acquiring data information of a driving route and monitoring and acquiring the speed of the vehicle in real time through the data acquisition module 2, and transmitting the acquired data to the cloud service platform 1;
b) the cloud service platform 1 analyzes and integrates the acquired data, the warning module 3 senses and pre-warns passenger traffic flow, and in the process of analyzing, processing and integrating the data, the traffic flow data of the same road section at the same time period on a certain day are
Where n denotes a day from monday to sunday, m denotes a time period from twenty-four hours to twenty-four times a day, and when n =1, m =1,
representing the traffic flow through the same line from zero to one point in the morning on monday, when n =1, m =2,
the method comprises the steps that the traffic flow of the same line in one-point to two-point time periods in Monday morning is shown, when n =1 and m =24, the traffic flow of the same line in one-point to zero-point time periods in Monday 23 is shown, and when n =2 and m =1, the traffic flow of the same line in one-point time periods in Tuesday morning is shown;
c) the average traffic flow of the same road section at a certain time on a certain day in the last year called from the database 6 is designated as H,
the data acquisition module 2 comprises a traffic flow data acquisition unit 11, a driving line acquisition unit 12 and a vehicle speed acquisition unit 13, wherein the traffic flow data acquisition unit 11 is used for acquiring traffic flow data on the same line in the same time period in the same day, the driving line acquisition unit 12 is used for acquiring driving line data, the vehicle speed acquisition unit 13 is used for acquiring real-time vehicle speed data of a vehicle and transmitting and updating the vehicle speed data so as to know the time of driving to a certain road section, and therefore early warning judgment can be more accurately carried out,
indicating the proximity of data in the database 6
Average traffic flow during the 1 st-3 rd month period,
indicating the proximity of data in the database 6
Average traffic flow in the 4 th-6 th month period,
indicating the proximity of data in the database 6
Average traffic flow during the 7 th-9 th month period,
indicating proximity in said database 6
Average traffic flow in the 10 th-12 th month period of (a);
d）
，
indicating proximity in said database 6
The traffic flow in the 1 st-3 rd month time period of (a), z represents the total number in the time period range taken;
e) will judge the road-like value as
When is coming into contact with
The time, when the road passes through the same road section in the same time period on the same day, the road condition is good, the road is smooth, and the road smoothness first-level early warning prompt is carried out through the road condition warning unit 16;
f) when in use
When the vehicle passes through the same road section in the same time period on the same day, the vehicle passing through the road tends to be saturated and can normally run, secondary early warning reminding is carried out through the road condition warning unit 16, the vehicle speed is controlled when the vehicle runs through the road section, and the vehicle distance is kept to run;
g) when the distance is less than 1 and less than F, when the vehicle is predicted and judged to run to the road section, the traffic flow of the road section exceeds the amount of the traffic flow which can be borne by the road, the road is blocked, accidents are easy to occur, the warning prompt is carried out through the road condition warning unit 16, the road is blocked when the vehicle passes through the road section in a certain period of time, the accidents are easy to occur, the route is reminded to be changed, meanwhile, the data is used for judging the routes of the surrounding equidirectional destinations, the other routes which are well in road conditions and lead to the destinations are provided through the Beidou positioning service unit 5 after the prediction judgment is carried out. [0026] The implementation mode specifically solves the problems that some existing early warning systems mentioned in the background art can only display the real-time road unobstructed congestion condition of a certain road section on navigation in real time, and cannot pre-judge whether the road section is unobstructed or congested when passing through the certain road section in a certain time period in advance to perform early warning and reminding;
the working principle of the invention is as follows:
referring to the attached figure 1 of the specification, by using a cloud service platform 1, a data acquisition module 2, a warning module 3, an intelligent terminal 4, a Beidou positioning service unit 5, a database 6 and an information transmission unit 7, whether a road of a road section is unobstructed or jammed when a user passes through the road section at a certain time period on a navigation route to a destination can be judged in advance, and the result is early warned, so that the user can timely make corresponding selection measures, the situation that the user drives into the jammed road section urgently in time is avoided, the time is influenced, and the use is more convenient;
finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides a passenger traffic flow perception early warning system under big data, includes cloud service platform (1), data acquisition module (2), warning module (3), intelligent terminal (4), big dipper location service unit (5), database (6) and information transmission unit (7), its characterized in that: the cloud service platform (1) is used for carrying out platform type control management on the perception early warning system, the data acquisition module (2) is used for carrying out data acquisition on a driving route, the warning module (3) is used for carrying out early warning prompt and providing corresponding measure reminding, the intelligent terminal (4) is used for checking perception early warning system data and driving route data information, the input end of the cloud service platform (1) is respectively connected with the output ends of the data acquisition module (2), the intelligent terminal (4), the Beidou positioning service unit (5), the database (6) and the information transmission unit (7), the output end of the cloud service platform (1) is respectively connected with the input ends of the data acquisition module (2), the warning module (3), the intelligent terminal (4), the Beidou positioning service unit (5), the database (6) and the information transmission unit (7), the intelligent terminal (4) is in communication connection with the database (6), the data acquisition module (2) comprises a traffic flow data acquisition unit (11), a driving line acquisition unit (12) and a vehicle speed acquisition unit (13), the traffic flow data acquisition unit (11) is used for acquiring traffic flow data on the same line in the same time period in the same day, the driving line acquisition unit (12) acquires driving line data, and the vehicle speed acquisition unit (13) acquires real-time vehicle speed data of a vehicle and transmits and updates the real-time vehicle speed data so as to know the time of driving to a certain road section, so that early warning judgment can be performed more accurately;
a use method of a passenger traffic perception early warning system under big data comprises the following steps:
a) the intelligent terminal (4) is used for starting a system, sensing and early warning passenger traffic flow, acquiring data of the traffic flow on the same route at the same time period in the same day, acquiring data information of a driving route and monitoring and acquiring the speed in real time, and transmitting the acquired data to the cloud service platform (1);
b) the cloud service platform (1) analyzes and integrates the acquired data, the warning module (3) senses and early warns passenger traffic flow, and in the process of analyzing, processing and integrating the data, the data are analyzed, processed and integrated at the same section of road at the same time period on a certain dayTraffic flow data is A nm Where n denotes a day from monday to sunday, m denotes a time period from twenty-four hours to twenty-four times a day, and when n =1 and m =1, a 11 The traffic flow of the same line in the period from zero point to one point in the morning of Monday is represented, and when n =1 and m =2, A 12 The method comprises the steps that the traffic flow of the same line in one-point to two-point time periods in Monday morning is shown, when n =1 and m =24, the traffic flow of the same line in one-point to zero-point time periods in Monday 23 is shown, and when n =2 and m =1, the traffic flow of the same line in one-point time periods in Tuesday morning is shown;
c) the average traffic flow of the same road section in a certain time period on a certain day in the last year called from the database (6) is designated as H, and H = 0.5M 1nm +0.25*M 2nm +0.15*M 3nm +0.1*M 4nm ，M 1nm Indicating the proximity A of data in the database (6) nm Average traffic flow, M, in the 1 st to 3 rd month period of 2nm Indicating data proximity A in said database (6) nm Average traffic flow, M, in the 4 th to 6 th month period of (1) 3nm Indicating data proximity A in said database (6) nm Average traffic flow, M, in the 7 th to 9 th month period of (1) 4nm Represents an adjacent A in the database (6) nm Average traffic flow in the 10 th-12 th month period of (a);
d）0.5*M 1nm =0.5*（∑b 1nm /z），b 1nm represents an adjacent A in the database (6) nm The traffic flow in the 1 st-3 rd month period of (a), z represents the total number in the taken time period range;
0.25*M 2nm =0.25*（∑b 2nm /z），b 2nm representing adjacent A in said database (6) nm The traffic flow in the 4 th-6 th month period;
0.15*M 3nm =0.15*（∑b 3nm /z），b 3nm representing adjacent A in said database (6) nm The traffic flow in the 7 th-9 th month time period;
0.1*M 4nm =0.1*（∑b 4nm /z），b 4nm representing adjacent A in said database (6) nm In the 10 th-12 th month period ofThe traffic flow rate;
e) the road shape judging value is F = A nm When F is more than or equal to 0 and less than or equal to 0.7, the road condition is good and the road is smooth when the road passes through the same road section in the same time period on the same day, and the road condition alarming unit (16) is used for carrying out the first-stage early warning prompt of the road smoothness;
f) when F is more than 0.7 and less than or equal to 1, judging that the vehicles passing through the road tend to be saturated and can normally run through the same road section in the same time period on the same day, and performing secondary early warning reminding through the road condition warning unit (16), and paying attention to control the speed of the vehicles and keeping the distance between the vehicles when the vehicles run on the road section;
g) when the distance is less than 1 and less than F, when the vehicle is predicted and judged to run to the road section, the traffic flow of the road section exceeds the amount of the road which can be borne by the road, the road is blocked, accidents are easy to occur, the road condition alarming unit (16) is used for carrying out early warning prompt, the road is blocked, accidents are easy to occur when the vehicle passes through the road section in a certain period of time, the route is reminded to be changed, meanwhile, the route of the surrounding equidirectional destination is judged through data, and other routes which have good road conditions and lead to the destination are given through the Beidou positioning service unit (5).
2. The passenger traffic perception early warning system under big data as claimed in claim 1, wherein: the cloud service platform (1) comprises a central processing unit (8), an information transceiving unit (9) and a storage unit (10), wherein the central processing unit (8) is used for analyzing, integrating and processing data, the information transceiving unit (9) is used for transceiving information, and the storage unit (10) is used for storing and using data.
3. The passenger traffic flow perception early warning system under big data according to claim 2, characterized in that: the storage unit (10) comprises a body memory and a cloud memory.
4. The passenger traffic flow perception early warning system under big data according to claim 1, characterized in that: the warning module (3) comprises a road condition warning unit (16) and a traffic accident warning unit (17), wherein the road condition warning unit (16) is used for carrying out corresponding early warning according to whether the road condition of a driving line is smooth or jammed, and the traffic accident warning unit (17) is used for carrying out real-time monitoring and early warning on a traffic accident which occurs on the driving line so that a driver can timely drive the driving line.
5. The passenger traffic flow perception early warning system under big data according to claim 1, characterized in that: the intelligent terminal (4) comprises an input unit (14) and a display unit (15), wherein the input unit (14) is used for inputting data to the intelligent terminal (4), and the display unit (15) is used for displaying system data.
6. The passenger traffic flow perception early warning system under big data according to claim 1, characterized in that: and the Beidou positioning service unit (5) is used for providing positioning and navigation services for users through a Beidou navigation system.
7. The passenger traffic perception early warning system under big data as claimed in claim 1, wherein: the database (6) is used for providing comparison data and storing new data.
8. The passenger traffic perception early warning system under big data as claimed in claim 1, wherein: the information transmission unit (7) is used for mutual information transmission between the user and the cloud service platform (1) through a big data and internet system.
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