CN112802332A - Method for analyzing parking congestion index - Google Patents

Method for analyzing parking congestion index Download PDF

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Publication number
CN112802332A
CN112802332A CN202011607757.9A CN202011607757A CN112802332A CN 112802332 A CN112802332 A CN 112802332A CN 202011607757 A CN202011607757 A CN 202011607757A CN 112802332 A CN112802332 A CN 112802332A
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position point
floating car
unit
congestion
floating
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刘海峰
邓华
黄中媛
王昕�
徐强
曾庆驰
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Qingdao Zte Its Ltd
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Qingdao Zte Its Ltd
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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
    • G08G1/01—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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

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  • Engineering & Computer Science (AREA)
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  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention provides a method for analyzing parking congestion indexes, which comprises the step of acquiring the average speed V of a floating vehicle entering a parking lot when the parking lot is not congested from a database0Presetting a collection period T, obtaining driving data of a floating car entering a parking lot from an entrance, wherein the driving data comprises a position point L and a real-time speed V of the floating car, carrying out data collection on the floating car every other collection period T, and judging whether the collected driving speed V of the floating car is smaller than an average speed V or not0According to the fact that the collected actual running speed V of the floating car is smaller than the average speed V0Distance L traveled byn‑L1And the running time (n-1) T is used for obtaining the actual average speed of the floating car, and the floating car is floatedActual average speed of the motor train unit divided by average speed V of the floating vehicle in the absence of congestion0Obtaining congestion index
Figure DDA0002873991800000011
n is an integer greater than 1, R belongs to [0,1), wherein n is the collection frequency, the closer R approaches to 0, the first position point L1To the n-th position point LnThe more severe the congestion situation in between.

Description

Method for analyzing parking congestion index
Technical Field
The invention relates to the technical field of parking congestion data analysis, in particular to a method for analyzing parking congestion indexes.
Background
With the rapid increase of the number of automobiles owned by urban residents, the difficulty in parking becomes a hot topic, the automobiles are often jammed when being parked in a parking lot, the driving routes in the parking lot are generally one-way roads, and the traffic condition in the parking lot cannot be known in advance.
Disclosure of Invention
The invention provides a method for analyzing parking congestion indexes, and aims to solve the problem that whether parking in a parking lot is congested and the congestion index of the parking lot cannot be known in advance before an automobile enters the parking lot.
In view of the above problems, the technical solution proposed by the present invention is:
a method of analyzing a parking congestion indicator, comprising:
s1: obtaining the average speed V of the floating vehicle from the entrance of the parking lot to the distance before the floating vehicle reaches the parking lot when the parking lot is not congested from the database0；
S2: presetting an acquisition period T;
s3: the method comprises the steps of obtaining driving data of a floating vehicle after entering a parking lot and before reaching the parking lot, wherein the driving data comprises a position point L and a real-time speed V of the floating vehicle;
s4: judging whether the driving speed V of the floating car is less than the average speed V or not0Obtaining a first judgment result;
s5, if the first judgment result is yes, recording the position point of the floating car as a first position point L1；
S6: acquiring next group of driving data of the floating car according to a preset acquisition period T, wherein the driving data comprises a position point L and a real-time speed V of the floating car;
s7: judging whether the driving speed V of the floating car is less than the average speed V or not0Obtaining a second judgment result;
s8: if the second judgment result is yes, recording the position point of the floating car as a second position point L2Returning to loop S7-S8;
s9: until the judgment result of the nth time is negative, recording the position point of the floating car as an nth position point Ln；
S10: first location point L1To the n-th position point LnCongestion index between
Figure BDA0002873991780000021
n is an integer greater than 1, R is an element of [0, 1);
s11: the congestion index R in S10 is analyzed, and the closer R approaches 0, the first position point L1To the n-th position point LnThe more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point LnThe better the traffic there between.
Further comprising:
s12: and if the first judgment result is negative, not recording the position point of the floating car.
Further comprising:
s13: if the second judgment result is negative, recording the position point of the floating car as a second position point L20；
S14: first position pointL1To the second position point L20Congestion index between
Figure BDA0002873991780000031
R∈[0,1)；
S15: the congestion index R in S14 is analyzed, and the closer R approaches 0, the first position point L1To the second position point L20The more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point L20The better the traffic there between.
Preferably: according to the (n-1) th position point L in each acquisition period Tn-1And the n-th position point LnAverage velocity in between
Figure BDA0002873991780000032
The congestion index between every two adjacent congestion position points can be calculated
Figure BDA0002873991780000033
The closer R is to 0, the n-1 th site Ln-1And the n-th position point LnThe more serious the congestion condition between, the closer R is to 1, and the n-1 th position point Ln-1And the n-th position point LnThe better the traffic there between.
An apparatus for analyzing a parking congestion index, comprising:
a first acquisition unit for acquiring, from the database, an average speed V of the floating vehicle from the entrance of the parking lot to a distance before the floating vehicle reaches the parking lot when the parking lot is not congested0；
The second acquisition unit is used for acquiring the driving data of the floating car, and the driving data comprises a position point L and a real-time speed V of the floating car;
a first judging unit for judging whether the real-time running speed V of the floating car is less than the average speed V0Then, a first judgment result is obtained;
a first recording unit for recording the first judgment resultWhen the position point of the floating car is recorded as a first position point L1If the first judgment result is negative, the position point of the floating car is not recorded;
the third acquisition unit is used for acquiring the next group of driving data of the floating car according to a preset acquisition cycle T, and the driving data comprises a position point L and a real-time speed V of the floating car;
a second judging unit for judging whether the real-time running speed V of the floating car is less than the average speed V0Obtaining a second judgment result;
a second recording unit for recording the position point of the floating car as a second position point L when the second judgment result is yes2；
A first circulation unit configured to circulate the fourth acquisition unit and the second determination unit when the second determination result is yes;
an nth recording unit for recording the position point of the floating car as an nth position point L when the nth judgment result is negativen；
A first execution unit for executing a first calculation unit according to the nth recording unit, wherein the first calculation unit is a congestion index
Figure BDA0002873991780000051
n is an integer greater than 1, R is an element of [0, 1);
a first analysis unit for analyzing the calculation result of the first calculation unit, wherein the first position point L is the closer R is to 01To the n-th position point LnThe more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point LnThe better the traffic condition between;
a third recording unit for recording the position point of the floating car as a second position point L when the second determination result is negative20；
A second execution unit for executing a second calculation unit according to a second recording unit, the second calculation unit being a congestion index
Figure BDA0002873991780000052
A second analyzing unit for analyzing the calculation result of the second calculating unit, wherein the first position point L is closer to 0 as R is closer to1To the second position point L20The more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point L20The better the traffic condition between;
and the display unit is used for receiving the image data and displaying the analysis result of the first analysis unit and/or the second analysis unit in the form of an image.
The invention has the beneficial effects that: obtaining the average speed V of the floating vehicle from the entrance of the parking lot to the distance before the floating vehicle reaches the parking lot when the parking lot is not congested from the database0And simultaneously presetting a collection period T to obtain the driving data of the floating car in the distance from the entrance of the parking lot to the parking space, wherein the driving data comprises the position point L and the real-time speed V of the floating car, and the real-time speed of the floating car is smaller than the average speed V for the first time0At the beginning of recording the first position point L1Data acquisition is carried out on the floating car every other acquisition period T, and whether the acquired running speed V of the floating car is smaller than the average speed V or not is judged0Recording the position point L of the floating car once every time the running data is collected, and keeping the running speed V of the floating car collected at the nth time no longer less than the average speed V when the (n-1) collection period T is passed0And proving that the floating car passes through the parking crowded road section at the moment, and acquiring the nth position point L of the floating car at the momentnI.e. distance of congested section of road Ln-L1The total time (n-1) T is consumed for passing through the crowded road section, and the average speed of the floating car actually passing through the crowded road section is
Figure BDA0002873991780000061
Dividing the average speed of the floating car actually passing through the crowded road section by the average speed V of the floating car when the floating car is not congested0Obtaining a congestion index R, a congestion index
Figure BDA0002873991780000062
n is an integer larger than 1, R belongs to [0,1), wherein n is the collection times; when n is equal to 1, it is proved that the driving speed V of the floating car is no longer less than the average speed V when the data acquisition is carried out for the second time in one acquisition period T0And proving that the floating car passes through the parking crowded road section at the moment, and acquiring the 2 nd position point L of the floating car at the moment20I.e. the distance of the congested section is L20-L1The total time consumed for passing through the crowded section is T, and the average speed of the floating car actually passing through the crowded section is T
Figure BDA0002873991780000063
Dividing the average speed of the floating car actually passing through the crowded road section by the average speed V of the floating car when the floating car is not congested0Obtaining a congestion index R, a congestion index
Figure BDA0002873991780000064
The traffic index is displayed at the entrance of the parking lot through the display unit, so that a driver can know whether the parking in the parking lot is crowded and the congestion index of the parking lot before entering the parking lot.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a method for analyzing a parking congestion index according to an embodiment of the present invention;
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention.
The technical terms related to the invention are explained as follows:
Figure BDA0002873991780000071
example 1:
referring to fig. 1, the present invention provides a technical solution: a method for analyzing parking congestion index comprises,
s1: obtaining the average speed V of the floating vehicle from the entrance of the parking lot to the distance before the floating vehicle reaches the parking lot when the parking lot is not congested from the database0＝30km/h；
S2: presetting a collection period T as 10s, namely collecting the driving data of the floating car every 10 s;
s3: the method comprises the steps of obtaining driving data of a floating car after entering a parking lot and before the floating car reaches the parking lot, wherein the driving data comprises a position point L and a real-time speed V of the floating car, and the floating car (hereinafter referred to as 123456 floating car) with a license plate 123456 entering the parking lot is adopted in the embodiment;
s4: judging whether the driving speed V of the 123456 floating car is less than the average speed V0Obtaining a first judgment result;
s5, if the first judgment result is yes, recording the position point of the 123456 floating car as a first position point L1At this time L1Is 10m away from the entrance of the parking lot;
s6: acquiring the next set of running data of the floating car according to a preset acquisition cycle T, wherein the running data comprises a position point L and a real-time speed V of the 123456 floating car, namely, timing is started when the running speed V of the 123456 floating car is less than an average speed for 30km/h for the first time, and after the 123456 floating car runs for 10s, acquiring a second set of running data of the 123456 floating car,
s7: judging whether the running speed V of the 123456 floating car is less than the average speed by 30km/h at the moment to obtain a second judgment result;
s8: if the second judgment result is yes, the position point of the 123456 floating car is recorded as a second position point L2Returning to loop S7-S8, at which time L2The numerical value of (1) is 11m from the entrance of the parking lot;
s9: until the 11 th judgment result is negative, namely the actual speed of the 123456 floating car is no longer less than the average speed by 30km/h, which indicates that the 123456 floating car passes through the parking crowded road section at the moment, the position point where the 123456 floating car is located is recorded as the 11 th position point L11At this time L11The numerical value of (1) is 15m from the entrance of the parking lot;
s10: first location point L1To the 11 th position point L11Congestion index between
Figure BDA0002873991780000081
n is an integer greater than 1, R is [0,1) ], i.e. the first location point L1To the 11 th position point L11The congestion index R between the two is the ratio of the actual average speed of the 123456 floating car passing through the congested road section to the average speed of the floating car at the time of no congestion, namely 30km/h
Figure BDA0002873991780000091
S11: the congestion index R in S10 is analyzed, and the closer R approaches 0, the first position point L1To the n-th position point LnThe more serious the congestion between, i.e. the first location point L1To the n-th position point LnThe congestion situation between is very severe.
Further comprising:
s12: if the first judgment result is negative, the position point where the 123456 floating vehicle is located is not recorded, and the actual speed of the 123456 floating vehicle is not less than the average speed of 30km/h at this time, which indicates that the 123456 floating vehicle is not jammed in the parking lot at this time, and the position point where the 123456 floating vehicle is located does not need to be recorded.
Further comprising:
s13: if the second judgment result is negative, the position point of the 123456 floating car is recorded as a second position point L20At this time, the second position point L20The numerical value of (1) is 11m from the entrance of the parking lot; the second determination result indicates that the 123456 floating car is at the first position point L1Congestion occurs at the second location point L20The time is 10s when the road passes through the crowded section, and the total length of the crowded section is the second position point L20And a first location point L1The difference of (a) is equal to 1 m;
s14: first location point L1To the second position point L20Congestion index between
Figure BDA0002873991780000092
R is equal to 0,1), and the same can be obtained according to S10, wherein the first position point L1To the second position point L20Congestion index between
Figure BDA0002873991780000093
S15: the congestion index R in S14 is analyzed, and the closer R approaches 0, the first position point L1To the second position point L20The more severe the congestion situation between, i.e. the first location point L1To the second position point L20The congestion situation between is very severe.
Preferably: according to the (n-1) th position point L in each acquisition period Tn-1And the n-th position point LnAverage velocity in between
Figure BDA0002873991780000101
The congestion index between every two adjacent congestion position points can be calculated
Figure BDA0002873991780000102
The closer R is to 0, the n-1 th site Ln-1And the n-th position point LnThe more serious the congestion condition between, the closer R is to 1, and the n-1 th position point Ln-1And the n-th position pointLnThe better the traffic condition between the vehicles is, when the value of the acquisition period T is small enough, the real-time congestion index of the 123456 floating vehicle in the distance between the vehicle and the parking space after entering the parking lot and before the vehicle reaches the parking space can be calculated.
Example 2:
an apparatus for analyzing a parking congestion index, comprising:
a first obtaining unit for obtaining the average speed V of the floating vehicle from the entrance of the parking lot to the distance before the floating vehicle reaches the parking lot when the parking lot is not congested from the database0Average velocity V obtained0The value of (a) is 30 km/h;
the second acquisition unit is used for acquiring driving data of the 123456 floating car, wherein the driving data comprises a position point L and a real-time speed V of the floating car, the numerical value of the acquired position point L is the distance between the 123456 floating car and the parking lot entrance, and the acquired real-time speed V is the real-time speed of the 123456 floating car;
the first judging unit is used for obtaining a first judging result when the real-time running speed V of the 123456 floating car is less than the average speed of 30 km/h;
a first recording unit for recording 123456 the location point of the floating car as a first location point L when the first judgment result is yes1At this time L1When the first judgment result is no, the 123456 floating car is explained as the first position point L when the first judgment result is 10m1The position point of the floating car is not recorded at the moment when the floating car is not crowded;
the system comprises a third acquisition unit, a second acquisition unit and a third processing unit, wherein the third acquisition unit is used for acquiring the next set of driving data of the 123456 floating car according to a preset acquisition cycle T, the driving data comprises a position point L and a real-time speed V of the 123456 floating car, the preset acquisition cycle T is 10s, namely timing is started when the driving speed V of the 123456 floating car is firstly smaller than the average speed by 30km/h, and the driving data of the 123456 floating car is acquired every 10s, and the third acquisition unit is used for acquiring the second set of driving data of the 123456 floating car when the distance from the first acquisition time is 10 s;
second judging means, for second judging meansJudging whether the real-time running speed V of the 123456 floating car is still less than the average speed V0Obtaining a second judgment result;
a second recording unit for recording the position point of the floating car as a second position point L when the second judgment result is yes2At this time, L is recorded2The value of (d) is 11 m;
the first circulating unit is used for circulating the fourth acquiring unit and the second judging unit when the second judging result is yes, namely the real-time running speed of the 123456 floating car is still less than the average speed by 30km/h after the 123456 floating car runs for 10s, which indicates that the 123456 floating car does not completely pass through a congested road section, and the running data of the 123456 floating car in sequence needs to be collected every 10 s;
an nth recording unit for recording the position point of the floating car as an nth position point L when the nth judgment result is negativenI.e., the actual speed of the 123456 floating car is no longer less than the average speed of 30km/h, indicating that the 123456 floating car has traveled over a congested section of parking at this time, the value of n is 11, and L is recorded11The value of (d) is 15 m;
a first execution unit for executing a first calculation unit according to the nth recording unit, wherein the first calculation unit is a congestion index
Figure BDA0002873991780000121
n is an integer greater than 1, R is [0,1 ]), the first execution unit executes
Figure BDA0002873991780000122
A first analysis unit for analyzing the calculation result of the first calculation unit, wherein the first position point L is closer to 0 as R is closer to1To the n-th position point LnThe more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point LnThe better the traffic condition between, because
Figure BDA0002873991780000123
Figure BDA0002873991780000124
Very close to 0, the first analysis unit analyzes the first location point L1To the n-th position point LnThe congestion situation between is very severe.
A third recording unit for recording the position point of the floating car as a second position point L when the second judgment result is negative20If the second judgment result is negative, the position point of the 123456 floating car is recorded as a second position point L20When the third recording unit records the second position point L20The value of (d) is 11 m;
a second execution unit for executing a second calculation unit according to the second recording unit, the second calculation unit being a congestion index
Figure BDA0002873991780000125
Namely to execute
Figure BDA0002873991780000126
At this time
Figure BDA0002873991780000127
A second analysis unit for analyzing the calculation result of the second calculation unit, wherein the first position point L is closer to 0 as R is closer to1To the second position point L20The more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point L20The better the traffic condition between, because
Figure BDA0002873991780000128
Figure BDA0002873991780000129
Very close to 0, the second analysis unit analyzes the first location point L1To the second position point L20The more severe the congestion situation in between.
The display unit is used for receiving the image data, displaying the analysis results of the first analysis unit and/or the second analysis unit in the form of images, and is arranged at the entrance of the parking lot, so that a driver can know whether parking in the parking lot is crowded and the crowding index of the parking lot before entering the parking lot.
The working principle of the device for analyzing the parking congestion index is as follows: obtaining the average speed V of the floating vehicle from the entrance of the parking lot to the distance before the floating vehicle reaches the parking lot when the parking lot is not congested from the database0And simultaneously presetting a collection period T to obtain the driving data of the floating car in the distance from the entrance of the parking lot to the parking space, wherein the driving data comprises the position point L and the real-time speed V of the floating car, and the real-time speed of the floating car is smaller than the average speed V for the first time0At the beginning of recording the first position point L1Data acquisition is carried out on the floating car every other acquisition period T, and whether the acquired running speed V of the floating car is smaller than the average speed V or not is judged0That is, the floating car starts timing when the running speed V of the floating car is smaller than the average speed for the first time, the second group of running data of the floating car is collected after the floating car runs for a collection period T, the position point L of the floating car is recorded once when the running data is collected once, and the running speed V of the floating car collected for the nth time is not smaller than the average speed V any more when the (n-1) collection periods T are passed0And proving that the floating car passes through the parking crowded road section at the moment, and acquiring the nth position point L of the floating car at the momentnI.e. distance of congested section of road Ln-L1The total time (n-1) T is consumed for passing through the crowded road section, and the average speed of the floating car actually passing through the crowded road section is
Figure BDA0002873991780000131
Dividing the average speed of the floating car actually passing through the crowded road section by the average speed V of the floating car when the floating car is not congested0Obtaining a congestion index R, a congestion index
Figure BDA0002873991780000132
n is an integer larger than 1, R belongs to [0,1), wherein n is the collection times; when n is equal to 1, the first and second,proves that the driving speed V of the floating car is no longer less than the average speed V when the data acquisition is carried out for the second time after one acquisition period T0And proving that the floating car passes through the parking crowded road section at the moment, and acquiring the 2 nd position point L of the floating car at the moment20I.e. the distance of the congested section is L20-L1The total time consumed for passing through the crowded section is T, and the average speed of the floating car actually passing through the crowded section is T
Figure BDA0002873991780000133
Dividing the average speed of the floating car actually passing through the crowded road section by the average speed V of the floating car when the floating car is not congested0Obtaining a congestion index R, a congestion index
Figure BDA0002873991780000141
The traffic index is displayed at the entrance of the parking lot through the display unit, so that a driver can know whether the parking in the parking lot is crowded and the congestion index of the parking lot before entering the parking lot.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the present invention by those skilled in the art. 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 (5)

1. A method of analyzing a parking congestion index, comprising:
s1: obtaining the average speed V of the floating vehicle from the entrance of the parking lot to the distance before the floating vehicle reaches the parking lot when the parking lot is not congested from the database0；
S2: presetting an acquisition period T;
s3: the method comprises the steps of obtaining driving data of a floating vehicle after entering a parking lot and before reaching the parking lot, wherein the driving data comprises a position point L and a real-time speed V of the floating vehicle;
s4: judging whether the driving speed V of the floating car is less than the average speed V or not0Obtaining a first judgment result;
s5, if the first judgment result is yes, recording the position point of the floating car as a first position point L1；
S6: acquiring next group of driving data of the floating car according to a preset acquisition period T, wherein the driving data comprises a position point L and a real-time speed V of the floating car;
s7: judging whether the driving speed V of the floating car is less than the average speed V or not0Obtaining a second judgment result;
s8: if the second judgment result is yes, recording the position point of the floating car as a second position point L2Returning to loop S7-S8;
s9: until the judgment result of the nth time is negative, recording the position point of the floating car as an nth position point Ln；
S10: first location point L1To the n-th position point LnCongestion index between
Figure FDA0002873991770000021
n is an integer greater than 1, R is an element of [0, 1);
s11: the congestion index R in S10 is analyzed, and the closer R approaches 0, the first position point L1To the n-th position point LnThe more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point LnThe better the traffic there between.
2. The method of analyzing parking congestion indicators according to claim 1, further comprising:
s12: and if the first judgment result is negative, not recording the position point of the floating car.
3. The method of analyzing parking congestion indicators according to claim 1, further comprising:
s13: if the second judgment knotIf not, recording the position point of the floating car as a second position point L20；
S14: first location point L1To the second position point L20Congestion index between
Figure FDA0002873991770000022
R∈[0,1)；
S15: the congestion index R in S14 is analyzed, and the closer R approaches 0, the first position point L1To the second position point L20The more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point L20The better the traffic there between.
4. The method of analyzing parking congestion indicators according to claim 1, wherein: according to the (n-1) th position point L in each acquisition period Tn-1And the n-th position point LnAverage velocity in between
Figure FDA0002873991770000031
The congestion index between every two adjacent congestion position points can be calculated
Figure FDA0002873991770000032
R is within 0,1), the closer R is to 0, the n-1 th site Ln-1And the n-th position point LnThe more serious the congestion condition between, the closer R is to 1, and the n-1 th position point Ln-1And the n-th position point LnThe better the traffic there between.
5. An apparatus for analyzing a parking congestion index, comprising:
a first acquisition unit for acquiring, from the database, an average speed V of the floating vehicle from the entrance of the parking lot to a distance before the floating vehicle reaches the parking lot when the parking lot is not congested0；
The second acquisition unit is used for acquiring the driving data of the floating car, and the driving data comprises a position point L and a real-time speed V of the floating car;
a first judging unit for judging whether the real-time running speed V of the floating car is less than the average speed V0Then, a first judgment result is obtained;
a first recording unit for recording a location point of the floating car as a first location point L when the first determination result is yes1If the first judgment result is negative, the position point of the floating car is not recorded;
the third acquisition unit is used for acquiring the next group of driving data of the floating car according to a preset acquisition cycle T, and the driving data comprises a position point L and a real-time speed V of the floating car;
a second judging unit for judging whether the real-time running speed V of the floating car is less than the average speed V0Obtaining a second judgment result;
a second recording unit for recording the position point of the floating car as a second position point L when the second judgment result is yes2；
A first circulation unit configured to circulate the fourth acquisition unit and the second determination unit when the second determination result is yes;
an nth recording unit for recording the position point of the floating car as an nth position point L when the nth judgment result is negativen；
A first execution unit for executing a first calculation unit according to the nth recording unit, wherein the first calculation unit is a congestion index
Figure FDA0002873991770000041
n is an integer greater than 1, R is an element of [0, 1);
a first analysis unit for analyzing the calculation result of the first calculation unit, wherein the first position point L is the closer R is to 01To the n-th positionLnThe more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point LnThe better the traffic condition between;
a third recording unit for recording the position point of the floating car as a second position point L when the second determination result is negative20；
A second execution unit for executing a second calculation unit according to a second recording unit, the second calculation unit being a congestion index
Figure FDA0002873991770000042
R∈[0,1)；
A second analyzing unit for analyzing the calculation result of the second calculating unit, wherein the first position point L is closer to 0 as R is closer to1To the second position point L20The more serious the congestion between, the closer R is to 1, the first location point L1To the n-th position point L20The better the traffic condition between;
and the display unit is used for receiving the image data and displaying the analysis result of the first analysis unit and/or the second analysis unit in the form of an image.
CN202011607757.9A 2020-12-30 2020-12-30 Method for analyzing parking congestion index Pending CN112802332A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101655376A (en) * 2009-07-28 2010-02-24 北京四维图新科技股份有限公司 Preprocessing method for distributing navigation electronic map service information and device thereof
CN101710449A (en) * 2009-12-04 2010-05-19 吉林大学 Traffic flow running rate recognizing method based on bus GPS data
CN101807345A (en) * 2010-03-26 2010-08-18 重庆大学 Traffic jam judging method based on video detection technology
CN105139647A (en) * 2015-07-27 2015-12-09 福建工程学院 Real-time road congestion detection method
CN112036757A (en) * 2020-09-03 2020-12-04 哈尔滨市市政工程设计院有限公司 Parking transfer parking lot site selection method based on mobile phone signaling and floating car data

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101655376A (en) * 2009-07-28 2010-02-24 北京四维图新科技股份有限公司 Preprocessing method for distributing navigation electronic map service information and device thereof
CN101710449A (en) * 2009-12-04 2010-05-19 吉林大学 Traffic flow running rate recognizing method based on bus GPS data
CN101807345A (en) * 2010-03-26 2010-08-18 重庆大学 Traffic jam judging method based on video detection technology
CN105139647A (en) * 2015-07-27 2015-12-09 福建工程学院 Real-time road congestion detection method
CN112036757A (en) * 2020-09-03 2020-12-04 哈尔滨市市政工程设计院有限公司 Parking transfer parking lot site selection method based on mobile phone signaling and floating car data

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