CN106485918B - A kind of traffic congestion evacuation effect evaluation method based on WIFI - Google Patents
A kind of traffic congestion evacuation effect evaluation method based on WIFI Download PDFInfo
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- CN106485918B CN106485918B CN201610865477.5A CN201610865477A CN106485918B CN 106485918 B CN106485918 B CN 106485918B CN 201610865477 A CN201610865477 A CN 201610865477A CN 106485918 B CN106485918 B CN 106485918B
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- mobile phone
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
Abstract
The present invention relates to a kind of, and the traffic congestion based on WIFI evacuates effect evaluation method.This method obtains the mobile phone address information in section the following steps are included: 1) in detection section installation WIFI wireless router；2) it selects the previous moment of issuing traffic induction information and the mobile phone address information of record at this time is as sample set A, extract the quantity a in sample set A；3) sampling period T is set, the last moment T of each sampling period T after issuing traffic induction information is successively recordediThe mobile phone address information quantity b of connectioniAs sample set B；4) using evacuation assessment models, inducing effect is calculated, including dredge rate and evacuation speed.Present method solves the current traffic congestions that lacks to evacuate evaluation measures, can not judge whether guidance information is useful, and evacuation efficiency the problems such as how calculating, active guidance information push can be carried out for control of traffic and road person, evaluation measures are provided, to improve the intelligent level that road traffic congestion is dredged.
Description
Technical field
The invention belongs to congestions to evacuate field, and in particular to a kind of traffic congestion evacuation recruitment evaluation side based on WIFI
Method.
Background technique
Vehicle guaranteeding organic quantity sustainable growth and Transportation facilities are insufficient, exacerbate the traffic congestion of road network.For
Dredge road traffic congestion, on the one hand, traffic management department provides guidance information to traveler by induced screen, another
Aspect, traveler itself can obtain guidance information by car-mounted terminal and smart phone.Publication and acquisition traffic guidance
Information is no doubt one of the effective means for alleviating traffic congestion, however, judging traffic guidance currently without effective evaluation measures
How is whether effective and information the influence effectiveness of information, this be easy to cause the excessive transmitting of fail message and error message, leads
Cause traffic congestion evacuation efficiency low, traffic congestion cannot not only be alleviated, but also congestion range constantly expands, and the congestion time continues
Extend, to reduce road network entirety traffic efficiency.How the assessment side of practical traffic congestion evacuation effect a kind of is sought
Formula can judge ratio and speed that traffic congestion is dredged in time, to carry out guidance information publication for traffic administration person
Data foundation is provided, to assess the availability of guidance information in time in emergency event and traffic congestion generation and discongest effect
Fruit, the final level of IT application for improving traffic congestion and dredging, the technology urgently to be resolved in recent years for those skilled in the art are difficult
Topic.
Summary of the invention
The purpose of the present invention is to solve traffic congestion, to dredge efficiency evaluation means insufficient, provide it is a kind of it is more practical,
The efficiently appraisal procedure of the traffic congestion evacuation effect based on WIFI.This method can be when emergency event and traffic congestion occur
Assessment is made to traffic guidance effect, to adjust guidance information content for traffic administration person, quickly relieve traffic congestion congestion
Data foundation is provided, and then reduces traffic congestion range and congestion time, guidance informationization level is improved, ensures road network
Traffic efficiency.
To achieve the above object, the invention adopts the following technical scheme:
A kind of traffic congestion evacuation effect evaluation method based on WIFI, includes the following steps:
1), according to the coverage area of WIFI wireless router, the WIFI wireless router quantity installed needed for section is calculated,
Calculation formula is as follows:
N=L/d
Wherein,
N represents WIFI wireless router quantity, unit: a；
L represents road section length, unit: m；
D represents the diameter of WIFI wireless router coverage area, unit: m；
Required WIFI wireless router quantity is calculated, WIFI is equably installed along its length on section without route
By device；The mobile phone of traveler is connected, the address information of connected mobile phone is recorded；
2), in the previous moment T of issuing traffic induction information0, record the mobile phone of all WIFI connections in road section scope
IP address is denoted as sample set A:
A=x | x=x1,x2......xa}
Wherein,
X represents the mobile phone address information for being connected to each WIFI wireless router on section；
A represents the total amount for the mobile phone address information being connected to；
Based on sample A, the previous moment T of issuing traffic induction information is extracted0, mobile phone IP quantity a in road section scope,
Basic data as evacuation assessment models；
3), issuing traffic induction information, the last moment T of first sampling period T after the publication of recording traffic induction information1
Mobile phone address information in road section scope obtains sample set B1, it is denoted as:
B1=y | y=y1,y2......yb1}
Wherein,
Y represents the mobile phone address information for being connected to each WIFI wireless router on section；
b1Represent the total amount for the mobile phone address information that first sampling period T is connected to；
Based on sample B1, extract the last moment T of first sampling period T after guidance information publication1, road section scope
Interior mobile phone address information total amount b1, as one of the correlation data for evacuating assessment models；
4) the last moment T of each sampling period T, is successively recordediThe quantity b of the mobile phone address information of connectioniAs one
Sample set B, is denoted as:
B=b | b=b1,b2......bi......bn, i=1,2,3......n；
Wherein,
biThe last moment in ith sample period is represented, the mobile phone address of each WIFI wireless router on section is connected to
The quantity of information；
I represents the serial number in sampling period；
N represents the quantity in sampling period；
5) front and back, is issued using guidance information, mobile phone address information total amount is made in the road section scope that WIFI is detected
For parameter, evacuation assessment models are established；The evacuation assessment models include to dredge two parts of ratio and evacuation speed:
Wherein, the calculation formula for dredging ratio is as follows:
si=(1-bi/ a) × 100%
Wherein,
siAfter representing guidance information publication, ith sample period dredging compared with before guidance information publication
Ratio；
If si≤ 0, then guidance information is invalid；
If 0 < si< 1, then guidance information is effective；
The calculation formula of evacuation speed is as follows:
Vsi=(bi-bi+1)/T
Wherein,
VsiRepresent evacuation speed；
If Vsi+1> Vsi, then the crowd in congestion regions and/or vehicle are just in rapid evacuation；
If Vsi+1=Vsi, then the crowd in congestion regions and/or vehicle are just at the uniform velocity evacuated；
If Vsi+1< Vsi, then the evacuation speed of the crowd in congestion regions and/or vehicle is slowing down, and evacuation is presented gradually
Convergence.
Preferably, in the step 1), the mobile phone address information that WIFI wireless router obtains further includes mobile phone MAC Address
Or the geographic position data of mobile phone IP address or mobile phone.
Preferably, in the step 3), sampling period T is 1min~5min, and is rounded as unit of min.
Main advantages of the present invention are:
1) present invention, which solves prior art means, cannot assess the defect of traffic congestion evacuation effect.The present invention is with WIFI
Based on the mobile phone address information that wireless router obtains, calculate guidance information publication front and back, in congested link vehicle and
Traveler evacuation ratio and evacuation speed, study and judge guidance information whether effectively and evacuation effect how.The present invention is logical
Point-to-point data sampling is crossed, realizes realization and the fittingization management in specified region, adaptability and management specific aim are more
By force.The mobile phone address information obtained by above-mentioned WIFI wireless router, using the traffic congestion based on WIFI in the present invention
Evacuation effect evaluation method can fast, stably, efficiently obtain the evaluation index of evacuation ratio and evacuation speed.
2) using the evacuation ratio and evacuation speed data of the acquisition of the evacuation assessment models in the present invention, can make to manage
Person issues induction information more appropriate in the case where obtaining accurate information, i.e., once evacuation trend convergence, contains the present invention
In the control devices of evacuation assessment models can actively prompt manager's replacement traffic to lure according to evacuation ratio and evacuation speed
The information for leading content facilitates traffic administration person to carry out traffic guiding, actively grasps traffic congestion for traffic management department and evacuates feelings
Condition carries out guidance information publication prediction scheme in advance and provides decision support technique.
3) present invention connects and records be connected to mobile phone address information by being located at the server of traffic control center,
And the newest guidance information root that this server for being located at traffic control center also in time sends traffic management department
The mobile phone address information connected according to it is sent on related mobile phone, then the traveler in congested link can obtain in real time most
New tutorial message, the impatience that traveler of thus greatly having releived is generated by traffic congestion, and make traveler to traffic
Evacuation situation has an accurate in-mind anticipation, grasps in time now so that the present invention is not only advantageous to traffic management department
The actual traffic situation of field is also convenient for the evacuation guidance of traffic management department, the traffic trip of people is also made to become safer
Orderly.
Detailed description of the invention
Fig. 1 is workflow schematic diagram of the invention.
Fig. 2 is cloth point diagram of the WIFI wireless router in section.
Specific embodiment
For ease of understanding, make here in connection with Fig. 1~2 pair implementation process of the invention described further below:
A kind of traffic congestion evacuation effect evaluation method based on WIFI, method includes the following steps:
1) it, according to the coverage area of road section length and WIFI wireless router, is calculated needed for section using N=L/d formula
The WIFI wireless router quantity of installation, wherein N represents WIFI wireless router quantity, and L represents road section length；According to calculating
WIFI wireless router quantity out, on section along its length according to the coverage area of WIFI wireless router equably
Lay WIFI wireless router；According to cloth point diagram (see Fig. 2) of the WIFI wireless router on section, WIFI is installed on section
Wireless router.It is connected positioned at the server of traffic control center and records be connected to mobile phone address information, mobile phone address
Information is in addition to comprising mobile phone IP address, also including time, mobile phone MAC Address, position data；
2), according to the previous moment T of issuing traffic induction information0, all WIFI acquired in this road section scope are wireless
Router is in T0The mobile phone address information of moment connection as sample set A, be denoted as A=x | x=x1,x2......xa,
In, x represents the mobile phone address information for being connected to each WIFI wireless router on section, and a represents the mobile phone address letter being connected to
The total amount of breath；A herein is as the basic data as evacuation assessment models；
3) sampling period T, first sampling period T after issuing according to guidance information according to actual needs, are set
Last moment T1, acquire road section scope in all WIFI wireless routers in T1The mobile phone IP address of moment connection is as sample
Set B1, it is denoted as B1=y | y=y1,y2......yb1, wherein y representative is connected to each WIFI wireless router on section
Mobile phone address information, b1Represent the total amount for the mobile phone address information being connected to；The time range of collection period T can choose herein
For 1min~5min, and it is rounded as unit of min.
4), according to the last moment T of each sampling period Ti, acquire road section scope in all WIFI wireless routers in Ti
The total amount b for the mobile phone address information that moment is connected toiAs sample set B, the B=b | b=b1,
b2......bi......bn, i=1,2,3......n；, wherein b represents mobile phone in each last moment section sampling period T
The total amount of address information, i represent the serial number in sampling period, and n represents the quantity in sampling period, biRepresent the ith sample period most
Moment afterwards is connected to the sum of the quantity of the mobile phone address information of each WIFI wireless router on section；
5) previous moment T, is issued according to guidance information0Corresponding mobile phone IP quantity a, information publication after each
The sample data of the data acquisition system B of sampling period T, using following evacuation assessment models: si=(1-bi/ a) × 100% and Vsi=
(bi-bi+1)/T is calculated separately and is dredged ratio siWith evacuation speed Vsi, wherein siAfter representing Traffic information demonstration, ith sample
That compared before period and guidance information publication dredges ratio, VsiRepresent evacuation speed；
6) ratio s is dredged positioned at the server acquisition of traffic control centeriWith evacuation speed VsiAfter data, in order to judge to lure
Lead whether information can be used and how is impact effect, needs to be compared data analysis, first, it is determined that whether induction information has
Effect, if si≤ 0, then guidance information is invalid；If 0 < si< 1, then guidance information is effective；If induction information is effective,
Judge that traffic congestion dredges trend, if Vsi+1> Vsi, then the crowd in congestion regions or vehicle can maintain just in rapid evacuation
The induction scheme；If Vsi+1=Vsi, then the crowd in congestion regions and/or vehicle are just at the uniform velocity evacuated, and can also maintain currently to lure
Lead scheme；If Vsi+1< Vsi, then the evacuation speed of the crowd in congestion regions or vehicle is slowing down, and evacuation is presented and gradually received
It holds back, it may be considered that adjust induction scheme in next sampling period.
Embodiment 1
1) it, according to the coverage area of road section length and WIFI wireless router, is calculated needed for section using N=L/d formula
The WIFI wireless router quantity of installation, wherein N represents WIFI wireless router quantity, and L represents road section length；According to calculating
WIFI quantity out lays WIFI wireless router on section；
For example, the coverage area d=0.5km of road section length L=2km, WIFI wireless router, then WIFI wireless router
Quantity are as follows:
N=L/d=2/0.5=4 (a)；
According to cloth point diagram (see Fig. 2) and calculated WIFI wireless router number of the WIFI wireless router on section
Amount installs WIFI wireless router on section, records the mobile phone address information of connection, mobile phone address information is in addition to including mobile phone
IP address also includes time, mobile phone MAC Address, position data；
2) previous moment T, is issued according to guidance information0, acquire all WIFI wireless routers in road section scope
In T0The mobile phone IP address of moment connection as sample set A, be denoted as A=x | x=x1,x2......xa, wherein x, which is represented, to be connected
It is connected to the mobile phone IP address of each WIFI wireless router on section, a represents the sum of the mobile phone IP address quantity being connected to；
A herein is as the basic data as evacuation assessment models；
For example, being 9:00am at the time of issuing traffic induction information, breath of winning the confidence issues previous moment T0=8: 59: 59 '
Am acquires all WIFI wireless routers connected at 8: 59: 59 ' am moment in road section scope mobile phone IP address as sample set
Close A, A are as follows:
A=x | x=fe80::8672:2ff:fe06:9ab8:10.8.1.238 ..., fe80::8672:2ff:
fe06:9ab8:10.8.1.208}
According to sample set A, a is obtained are as follows:
A=250；
3) sampling period T according to actual needs, is set, first sampling period T after issuing according to guidance information
Last moment T1, acquire road section scope in all WIFI wireless routers in T1The mobile phone IP address of moment connection is as sample set
Close B1, it is denoted as B1=y | y=y1,y2......yb1, wherein y is with representing the mobile phone IP for being connected to section WIFI wireless router
Location, b1Represent the sum of the mobile phone IP address quantity being connected to；A collection period can choose as 1min~5min herein, and with
Min is unit rounding.
For example, being 9:00:00am at the time of issuing traffic induction information, T=2min is taken, then when T1=9:02:00am, is adopted
The mobile phone IP address that all WIFI wireless routers connected at the 9:02:00am moment in collection road section scope is as sample set B1, B1
Are as follows:
B1=y | y=fe80::8672:2ff:fe06:9ab8:10.8.1.218 ..., fe80::8672:2ff:
fe06:9ab8:10.8.1.208}
According to sample set B1, obtain b1Are as follows:
b1=230；
4), according to the last moment T of each sampling period Ti, acquire road section scope in all WIFI wireless routers in Ti
The mobile phone IP address quantity b of moment connectioniAs sample set B, the B=b | b=b1,b2......bi......bn, i=
1,2,3......n；, wherein b represents the sum of the quantity of mobile phone IP address in section of each last moment in sampling period, and i is represented
The serial number in sampling period, n represent the quantity in sampling period,
For example, set n=15, then T1=9:02:00am, T2=9:04:00am ... ..., T15=9:30:00am acquires road
All WIFI wireless routers are in T in segment limitiThe mobile phone IP address quantity b of moment connectioniAs sample set B, B are as follows:
B=b | b=230,200,168,134,132,130,128,127,126,125,124,123,122,12 1,
120}；
5), according to the previous moment T of issuing traffic induction information0Corresponding mobile phone IP address quantity a, traffic guidance letter
The sample data of the data acquisition system B in each sampling period after breath publication, using model si=(1-bi/ a) × 100% and Vsi=
(bi-bi+1)/T is calculated separately and is dredged ratio siWith evacuation speed Vsi, wherein siAfter representing Traffic information demonstration, each sampling week
That compared before phase and information publication dredges ratio, VsiRepresent evacuation speed；
For example, according to n=15, a=250, B=b | and b=230,200......120 }, s can be obtainediFor
S1=(1-b1/ a) × 100%=(1-230/250) × 100%=8%
S2=(1-b2/ a) × 100%=(1-200/250) × 100%=20%
……
S15=(1-b15/ a) × 100%=(1-120/250) × 100%=52%
According to T=2min, B=b | and b=230,200......120 }, V can be obtainedsiFor
Vs1=(b1-b2)/T=(230-200)/2=15/min
Vs2=(b2-b3)/T=(200-168)/2=16/min
Vs3=(b3-b4)/T=(168-134)/2=17/min
Vs4=(b4-b5)/T=(134-132)/2=1/min
……
Vs13=(b13-b14)/T=(122-121)/2=0.5/min
Vs14=(b14-b15)/T=(121-120)/2=0.5/min
6) it obtains and dredges ratio siWith evacuation speed VsiAfter data, in order to judge whether induction information available and impact effect
How, it needs to be compared data analysis.Firstly, if si≤ 0, then guidance information is invalid；If 0 < si< 1, then traffic
Induction information is effective；Secondly, if Vsi+1> Vsi, then the crowd in congestion regions or vehicle can maintain this just in rapid evacuation
Induction scheme；If Vsi+1=Vsi, then the crowd in congestion regions and/or vehicle are just at the uniform velocity evacuated, and can also maintain to work as pre-induction
Scheme；If Vsi+1< Vsi, then the evacuation speed of the crowd in congestion regions or vehicle is slowing down, and evacuation, which is presented, gradually to be restrained,
It is contemplated that adjusting induction scheme in next sampling period；
For example, according to si=8%, 20% ... ..., 52% and Vsi=15,16,17,1 ... ..., 0.5,0.5；
Firstly, since si=8%, 20% ... ..., 52% all greater than 0 and less than 1, meets 0 < si< 1, then issue
Induction information is effective；
Secondly as Vs2≥Vs1, Vs3≥Vs2, then in preceding 3 sampling periods, traffic congestion is just in rapid evacuation；
Due to Vs4< Vs3, then the 4th sampling period, traffic congestion evacuation speed are slowing down, evacuation present by
Step convergence, it may be considered that adjustment induction scheme.
Claims (3)
1. a kind of traffic congestion based on WIFI evacuates effect evaluation method, it is characterised in that include the following steps:
1), according to the coverage area of WIFI wireless router, the WIFI wireless router quantity installed needed for section is calculated, is calculated
Formula is as follows:
N=L/d
Wherein,
N represents WIFI wireless router quantity, unit: a；
L represents road section length, unit: m；
D represents the diameter of WIFI wireless router coverage area, unit: m；
Required WIFI wireless router quantity is calculated, WIFI wireless routing is equably installed along its length on section
Device；The mobile phone of traveler is connected, the address information of connected mobile phone is recorded；
2), in the previous moment T of issuing traffic induction information0, record all WIFI wireless router connections in road section scope
Mobile phone IP address is denoted as sample set A:
A=x | x=x1, x2......xa}
Wherein,
X represents the mobile phone address information for being connected to each WIFI wireless router on section；
A represents the total amount for the mobile phone address information being connected to；
Based on sample A, the previous moment T of issuing traffic induction information is extracted0, mobile phone address information in road section scope it is total
A is measured, the basic data as evacuation assessment models；
3), issuing traffic induction information, the last moment T of first sampling period T after the publication of recording traffic induction information1Section
Mobile phone address information in range obtains sample set B1, it is denoted as:
B1=y | y=y1, y2......yb1}
Wherein,
Y represents the mobile phone address information for being connected to each WIFI wireless router on section；
b1Represent the total amount for the mobile phone address information that first sampling period T is connected to；
Based on sample B1, extract the last moment T of first sampling period T after guidance information publication1, in road section scope
Mobile phone address information total amount b1, as one of the correlation data for evacuating assessment models；
4) the last moment T of each sampling period T, is successively recordediThe quantity b of the mobile phone address information of connectioniAs a sample
Set B, is denoted as:
B=b | b=b1, b2......bi......bn, i=1,2,3 ... n；
Wherein,
B represents the total amount of mobile phone address information in each last moment section sampling period T；
biThe last moment in ith sample period is represented, the mobile phone address information of each WIFI wireless router on section is connected to
The sum of quantity；
I represents the serial number in sampling period；
N represents the quantity in sampling period；
5) mobile phone address information is total in the road section scope that WIFI wireless router detects before and after, being issued using guidance information
Amount is used as parameter, establishes evacuation assessment models；The evacuation assessment models include to dredge two parts of ratio and evacuation speed:
Wherein, the calculation formula for dredging ratio is as follows:
si=(1-bi/ a) × 100%
Wherein,
siAfter representing guidance information publication, that compared before ith sample period and guidance information publication dredges ratio；
If si≤ 0, then guidance information is invalid；
If 0 < si< 1, then guidance information is effective；
The calculation formula of evacuation speed is as follows:
Vsi=(bi-bi+1)/T
Wherein,
VsiRepresent evacuation speed；
If Vsi+1> Vsi, then the crowd in congestion regions and/or vehicle are just in rapid evacuation；
If Vsi+1=Vsi, then the crowd in congestion regions and/or vehicle are just at the uniform velocity evacuated；
If Vsi+1< Vsi, then the evacuation speed of the crowd in congestion regions and/or vehicle is slowing down, and evacuation is presented and gradually received
It holds back.
2. the traffic congestion based on WIFI evacuates effect evaluation method one of according to claim 1, it is characterised in that: described
In step 1), the mobile phone address information that WIFI wireless router obtains further includes time and mobile phone MAC Address or mobile phone IP
The geographic position data of location or mobile phone.
3. the traffic congestion based on WIFI evacuates effect evaluation method one of according to claim 1, it is characterised in that: described
In step 3), sampling period T is 1min~5min, and is rounded as unit of min.
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| CN107529664B (en) * | 2017-08-24 | 2019-04-05 | 南京茶非氪信息科技有限公司 | A kind of traffic based on WIFI signal is passed unimpeded grade detection system |
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| JP2006171835A (en) * | 2004-12-13 | 2006-06-29 | Nissan Motor Co Ltd | System and method for determining traffic jam, information center, and navigation device |
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