CN113903186B - Passing speed guiding method based on big dipper data - Google Patents

Passing speed guiding method based on big dipper data Download PDF

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CN113903186B
CN113903186B CN202111145838.6A CN202111145838A CN113903186B CN 113903186 B CN113903186 B CN 113903186B CN 202111145838 A CN202111145838 A CN 202111145838A CN 113903186 B CN113903186 B CN 113903186B
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speed
traffic
lane
vehicle
time period
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CN113903186A (en
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李勇
王洪平
冯彬彬
陈华明
方立
柳芳震
叶敏
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Fuxin Futong Technology Co ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • 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
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • 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
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • 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
    • G08G1/056—Detecting movement of traffic to be counted or controlled with provision for distinguishing direction of travel

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Atmospheric Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention relates to the technical field of intelligent traffic, in particular to a passing speed guiding method based on big dipper data, which comprises the following steps: 1) Through Beidou differential high-precision positioning, the position, the lane, the speed and the direction information of the vehicle are obtained in real time; 2) Pre-judging a passing line and an ETC lane according to the acquired vehicle position, the lane, the vehicle speed and the direction information and by combining the road network information; 3) Obtaining the average speed of traffic corresponding to the ETC lane
Figure DDA0003285393450000011
4) According to the traffic speed v of each vehicle after passing through the lane in the T time period and the average traffic speed of the lane in the time period
Figure DDA0003285393450000012
Calculating a traffic speed deviation coefficient Cv of each traffic in the lane in the T time period; 5) Calculating the average deviation coefficient in the T time period according to the traffic speed deviation coefficient Cv of each traffic in the T time period
Figure DDA0003285393450000013
Based on the average deviation coefficient
Figure DDA0003285393450000014
Calculating the optimal traffic guiding speed v at the moment t (ii) a 6) The current vehicle speed v is obtained 0 With an optimum traffic guidance speed v t And comparing and carrying out corresponding voice prompt.

Description

Passing speed guiding method based on big dipper data
Technical Field
The invention relates to the technical field of traffic, in particular to a passing speed guiding method based on big dipper data.
Background
ETC (Electronic Toll Collection), chinese translation is Electronic Toll Collection (Electronic Toll Collection), and is automatic Toll Collection for highways or bridges. The special short-range communication is carried out between the vehicle-mounted electronic tag arranged on the vehicle windshield and the microwave antenna on the ETC lane of the toll station, and the computer networking technology and the bank are utilized to carry out background settlement processing, so that the purpose that the vehicle can pay the highway or bridge expenses through the highway or bridge toll station without parking is achieved.
The actual traffic speed of ETC lanes at toll intersections in different cities, different areas and different highway sections has objective difference. The invention provides an ETC traffic speed guiding method based on big dipper big data, aiming at improving the traffic efficiency of an ETC lane and the experience of accurate guiding of traffic speed.
Disclosure of Invention
In order to solve the problems, the invention provides a traffic speed guiding method based on big dipper data.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a passing speed guiding method based on big dipper data comprises the following steps:
1) The position, the lane, the speed and the direction information of the vehicle are obtained in real time through Beidou differential high-precision positioning;
2) Pre-judging a passing line and an ETC lane according to the acquired vehicle position, the lane, the vehicle speed and the direction information and by combining the road network information;
3) Obtaining the average speed of the passing vehicle corresponding to the ETC lane
Figure BDA0003285393440000021
4) According to the traffic speed v of each vehicle after passing through the lane in the T time period and the average traffic speed of the lane in the time period
Figure BDA0003285393440000022
Calculating the traffic speed deviation coefficient Cv of each traffic in the lane in the T time period;
5) According to the traffic speed deviation coefficient Cv of each traffic in the T time period, calculating the average deviation coefficient in the T time period
Figure BDA0003285393440000023
Based on the mean deviation factor
Figure BDA0003285393440000024
Calculating the optimal traffic guiding speed v at the moment t ；
6) The acquired current speed v of the vehicle 0 With an optimum traffic guidance speed v t And comparing and carrying out corresponding voice prompt.
Further, step 3) obtains the average speed of traffic corresponding to the ETC lane
Figure BDA0003285393440000025
The method comprises the following specific steps:
obtaining the traffic speed of a corresponding ETC lane in a preset time period T, wherein the average value of all traffic speeds in the time period T is the average traffic speed
Figure BDA0003285393440000026
Further, the preset time duration T is kept to be the latest time.
Further, the expression of Cv in step 4) is:
Figure BDA0003285393440000027
and v is the traffic speed of the vehicle after passing through the lane.
Further, in step 5)
Figure BDA0003285393440000028
The expression of (a) is:
Figure BDA0003285393440000029
wherein Cv 1 ....Cv n The traffic speed deviation coefficients of the first vehicle to the nth vehicle in the T time period are respectively.
Further, v) in step 5) t The expression of (c) is:
Figure BDA00032853934400000210
further, when v is in step 6) 0 ≥v t And if so, carrying out voice prompt deceleration.
Preferably, step 6) further prompts the optimal passing speed v by voice t And the current vehicle speed v 0 。
Under the condition of the same hardware basis, the method has certain generic compatibility, so the invention also provides a computer-readable storage medium, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set or the instruction set is loaded by a processor and executed to realize the Beidou big data-based traffic speed guiding method.
The invention has the beneficial effects that:
the big dipper data-based traffic speed guidance method provided by the invention can provide accurate traffic speed guidance when a vehicle passes through an ETC, improves the traffic efficiency and the user experience of an ETC lane, and is suitable for further popularization and application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
A traffic speed guiding method based on big dipper data comprises the following steps:
1) The method comprises the steps of obtaining vehicle position (longitude and latitude height), a lane where the vehicle is located, vehicle speed and direction information in real time through Beidou differential high-precision positioning;
2) Pre-judging a route and an ETC lane according to the acquired vehicle position, the lane where the vehicle is located, the vehicle speed and the direction information and by combining the road network information;
3) Obtaining the average speed of traffic corresponding to the ETC lane
Figure BDA0003285393440000031
The method specifically comprises the following steps:
obtaining the traffic speed of a corresponding ETC lane in a preset time period T, wherein the average value of all traffic speeds in the time period T is the traffic average speed
Figure BDA0003285393440000032
Keeping the preset time length T as the latest time to dynamically update the data, and keeping the time as the latest time to get the average speed of the traffic
Figure BDA0003285393440000033
Namely step 3) of obtaining the average speed of the corresponding ETC lane in the latest T period
Figure BDA0003285393440000034
4) According to the traffic speed v of each vehicle after passing through the lane in the T time period and the average traffic speed of the lane in the time period
Figure BDA0003285393440000041
Calculating a traffic speed deviation coefficient Cv of each traffic in the lane in the T time period;
Figure BDA0003285393440000042
solving the expression of Cv as:
Figure BDA0003285393440000043
and v is the traffic speed of the vehicle after passing through the lane.
5) According to the traffic speed of each traffic in the T time periodThe deviation coefficient Cv is used for calculating the average deviation coefficient in the T time period
Figure BDA0003285393440000044
Based on the mean deviation factor
Figure BDA0003285393440000045
Calculating the optimal traffic guiding speed v at the moment t 。
Step 5) further expands the description as follows:
n vehicles pass through in the preset time period T, and the average speed of the n vehicles passing through the vehicle is calculated
Figure BDA0003285393440000046
Traffic speed v of first vehicle passing through ETC lane in T period 1 With average speed over a corresponding time period
Figure BDA0003285393440000047
Comparing to obtain the first traffic speed deviation
Figure BDA0003285393440000048
Further calculating a first traffic speed deviation coefficient Cv 1 Wherein, in the step (A),
Figure BDA0003285393440000049
get it solved
Figure BDA00032853934400000410
Calculating the traffic speed deviation coefficient Cv of the n vehicles respectively by analogy; according to the calculated Cv 1 ....Cv n Calculate out
Figure BDA00032853934400000411
The expression is as follows:
Figure BDA00032853934400000412
then according to the obtained
Figure BDA00032853934400000413
Calculate out theOptimal traffic guidance speed v at a time t Wherein v is t The expression is as follows:
Figure BDA00032853934400000414
as a further improvement, j, v are introduced t The expression is as follows:
Figure BDA00032853934400000415
j is an influence factor of ETC external traffic speed of different vehicles, and j =1 is ignored; the external traffic speed influence factor j comprises factors such as weather and wind speed; the influence quantity of the same vehicle on the speed when the vehicle passes through the same ETC lane under different weather conditions, wind speeds and other external conditions is measured by big data statistics.
The acquired current speed v of the vehicle 0 With an optimum traffic guidance speed v t Comparing and carrying out corresponding voice prompt; when v is 0 ≥v t And then, voice prompt deceleration is carried out to prompt that the vehicle speed is controlled to be noticed. Further, voice broadcasting optimal passing speed v t And the current vehicle speed v 0 Therefore, the user can conveniently adjust the vehicle speed, and the user experience is improved.
In addition, each functional unit in the embodiments of the present invention may be integrated into one processing unit, each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (5)

1. The utility model provides a traffic speed guide method based on big dipper big data which characterized in that for the traffic speed guide in ETC lane, includes the following step:
1) The position, the lane, the speed and the direction information of the vehicle are obtained in real time through Beidou differential high-precision positioning;
2) Pre-judging a route and an ETC lane according to the acquired vehicle position, the lane where the vehicle is located, the vehicle speed and the direction information and by combining the road network information;
3) Obtaining the average speed of the passing vehicle corresponding to the ETC lane
Figure 778203DEST_PATH_IMAGE001
；
4) According to the traffic speed of each vehicle after passing through the lane in the T time period
Figure 193004DEST_PATH_IMAGE002
And the average speed of traffic of the lane in the time period
Figure 932290DEST_PATH_IMAGE001
Calculating the traffic speed deviation system of each traffic on the lane in the T time periodNumber of
Figure 370225DEST_PATH_IMAGE003
；
5) According to the traffic speed deviation coefficient of each traffic in the T time period
Figure 118738DEST_PATH_IMAGE003
Calculating the average deviation coefficient in the T time period
Figure 591308DEST_PATH_IMAGE004
Based on the mean deviation factor
Figure 14678DEST_PATH_IMAGE004
Calculating the optimal traffic guidance speed in the T time period
Figure 939909DEST_PATH_IMAGE005
；
6) The current speed of the vehicle is obtained
Figure 226534DEST_PATH_IMAGE006
With optimum traffic guidance speed
Figure 288031DEST_PATH_IMAGE005
Comparing and carrying out corresponding voice prompt;
step 3) obtaining the average speed of passing vehicles corresponding to the ETC lane
Figure 900278DEST_PATH_IMAGE001
The method specifically comprises the following steps:
obtaining the traffic speed of a corresponding ETC lane in a preset time period T, wherein the average value of all traffic speeds in the time period T is the average traffic speed
Figure 312805DEST_PATH_IMAGE001
；
In step 4)
Figure 137541DEST_PATH_IMAGE003
The expression of (c) is:
Figure 882905DEST_PATH_IMAGE007
in which
Figure 72578DEST_PATH_IMAGE002
The traffic speed of the vehicle passing through the lane is obtained;
in step 5)
Figure 300297DEST_PATH_IMAGE004
The expression of (a) is:
Figure 866408DEST_PATH_IMAGE008
whereinCv 1 ....Cv n The traffic speed deviation coefficients of the first vehicle to the nth vehicle in the T time period are respectively; in step 5)
Figure 964814DEST_PATH_IMAGE009
The expression of (a) is:
Figure 325388DEST_PATH_IMAGE010
。
2. the big dipper data-based traffic speed guidance method according to claim 1, wherein the preset time duration T is kept to be the latest time.
3. The traffic speed guiding method based on Beidou big data as set forth in claim 1, characterized in that in step 6), the traffic speed is the same
Figure 40403DEST_PATH_IMAGE006
≥
Figure 410205DEST_PATH_IMAGE011
Then, the voice prompt is carried out to reduce the speed。
4. The big dipper data-based traffic speed guiding method according to claim 1, wherein step 6) further prompts the optimal traffic speed through voice
Figure 599003DEST_PATH_IMAGE011
And the current vehicle speed
Figure 458374DEST_PATH_IMAGE006
。
5. A computer-readable storage medium, characterized in that: the storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, at least one program, a code set or an instruction set is loaded by a processor and executed to implement the Beidou big data based traffic speed guidance method according to one of claims 1 to 4.
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