CN102610096B - Method for setting highway traffic flow detector based on improved discrete model based - Google Patents

Method for setting highway traffic flow detector based on improved discrete model based Download PDF

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CN102610096B
CN102610096B CN201210059777.6A CN201210059777A CN102610096B CN 102610096 B CN102610096 B CN 102610096B CN 201210059777 A CN201210059777 A CN 201210059777A CN 102610096 B CN102610096 B CN 102610096B
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speed
density
highway
section
traffic flow
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CN102610096A (en
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史忠科
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Xian Feisida Automation Engineering Co Ltd
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Xian Feisida Automation Engineering Co Ltd
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Abstract

The invention provides a method for setting a highway traffic flow detector based on an improved discrete model, and is used for solving the problem that the artificial layout of the existing traffic flow detector can not acquire the required traffic parameters with few detecting points. In the method, according to a macro traffic flow discrete model with improved speed, a highway condition observability discriminant is defined, and through regulating the setting scheme of the traffic flow detector, various road parameters of traffic flow, vehicle speed, vehicle flow density and road occupation rate and the like are detected on the road in real time, and act as the fundamental basis for analysis, judgment, information issue and raising of a control scheme of a control center, so that the integral operation efficiency and management level are improved.

Description

A kind of highway communication current sensor method to set up based on improving discrete model
Technical field
The present invention relates to road traffic current sensor method to set up, particularly a kind of highway communication current sensor method to set up based on improving discrete model.
Background technology
Along with developing rapidly of highway transportation industry, highway administration department need to make regular check on road occupation situation, to damaged road surface is made to corresponding maintenance measure.The method of the artificial visual inspection of traditional use, paper notes record pavement behavior, is difficult to adapt to the requirement of high grade highway development; How in the situation that not affecting normal traffic transportation, to occurring on whole road section surface that damaged position makes detection and localization rapidly and accurately, become current urgent problem; In addition, the crossing of current many domestic city, Important Sections and expressway ramp mouth, responsive section (Frequent Accidents, bend many etc.) all set up fixed position checkout equipment.Can detect in real time traffic (as vehicle flowrate, the speed of a motor vehicle, density etc.) and accident generation information in fixed range; But, due to many-sided reason (being mainly funds reason), fixed test point can not be all set in each section; Like this, for the section that checkout equipment is not set, conventionally adopt following two kinds of modes to obtain relevant information: the one, estimate this road section traffic volume situation as basis to close on check point obtaining information, the 2nd, accident, congestion information circular telephone number are set, passive type is accepted the phone circular traffic that the human pilot of driving vehicle on this section is made, and namely carrys out obtaining information in artificial mode; On the section that checkout equipment is not set, once there is sudden traffic hazard, in order to wait for that traffic police comes to process, need to retain the scene of the accident so that investigate and collect evidence and confirmation accident responsibility side, so just very easily cause blocking up of section.And traffic behavior perception is one of the basis of intelligent transportation system and gordian technique, accurately, obtain fast and reliably basic traffic data and comprehensive traffic information, for monitoring, management, maneuver traffic operation, improve transport services quality, guarantee traffic safety, alleviate traffic congestion significant.
Aspect transport information administration obtains, be mainly used in the management of the transportations such as toll on the road and bridge, long-distance transport or city bus both at home and abroad, can adopt administrative means acquisition unit separating vehicles and segment path information; But the most vehicles that travel in city, at present can be by the GPS information reporting of own vehicle to administrative authority, even in developed countries such as the U.S., because the human rights issues such as privacy also can not be executed in the recent period; On modern road, surveillance is a lot, but at least which monitor must detect in real time the various traffic parameters such as the magnitude of traffic flow, car speed, vehicle density and road occupancy on road, analyze, judge, release news and propose the basic foundation of control program as Surveillance center, improve overall operation efficiency and management level; Traffic flow detecting device remains artificial layout at present.
Summary of the invention
Can not obtain with a small amount of monitoring point the problem of required traffic parameter in order to overcome the artificial layout of existing magnitude of traffic flow detecting device, the invention provides a kind of highway communication current sensor method to set up based on improving discrete model, the method is according to the Macro-traffic Flow discrete model definition Highway Conditions observability discriminant of the speed of improvement, by adjusting the plan of establishment of traffic flow detecting device, on road, detect in real time the magnitude of traffic flow, car speed, the various traffic parameters such as vehicle density and road occupancy, analyze as Surveillance center, judgement, release news and propose the basic foundation of control program, improve overall operation efficiency and management level.
The technical solution adopted for the present invention to solve the technical problems: a kind of highway communication current sensor method to set up based on improving discrete model, is characterized in that comprising the following steps:
1, definition Highway Conditions observability discriminant is:
Figure 838970DEST_PATH_IMAGE001
Wherein:
Figure 880745DEST_PATH_IMAGE002
for
Figure 785116DEST_PATH_IMAGE003
the observed reading of moment traffic flow detecting device,
Figure 364346DEST_PATH_IMAGE004
for observing matrix,
Figure 63497DEST_PATH_IMAGE006
Figure 455164DEST_PATH_IMAGE007
，
Figure 778698DEST_PATH_IMAGE008
for the flow of highway entrance,
Figure 637458DEST_PATH_IMAGE009
represent respectively density and the speed of highway outlet,
Figure 693138DEST_PATH_IMAGE010
for the sampling period,
Figure 2012100597776100002DEST_PATH_IMAGE011
for specifying highway section label,
Figure 759052DEST_PATH_IMAGE012
for the section sum of this appointment highway division, be
Figure 78836DEST_PATH_IMAGE011
individual section exists the average density in moment,
Figure 61891DEST_PATH_IMAGE014
be
Figure 274697DEST_PATH_IMAGE011
individual section exists
Figure 42802DEST_PATH_IMAGE003
the average velocity in moment, for
Figure 421404DEST_PATH_IMAGE003
moment enters from ring road entrance
Figure 437902DEST_PATH_IMAGE011
the flow in individual section,
Figure 122830DEST_PATH_IMAGE016
for moment flows out the from ramp exit
Figure 114891DEST_PATH_IMAGE011
the flow in individual section,
Figure 935079DEST_PATH_IMAGE017
be
Figure 412197DEST_PATH_IMAGE011
individual road section length,
Figure 541696DEST_PATH_IMAGE018
for equivalent speed,
Figure 917313DEST_PATH_IMAGE019
,
Figure 462564DEST_PATH_IMAGE020
,
Figure 125014DEST_PATH_IMAGE021
for free stream velocity, be
Figure 226011DEST_PATH_IMAGE011
there is the impact of information display board indication speed parity price speed in individual section, for the maximum potential density in single track,
Figure 823401DEST_PATH_IMAGE024
Figure 229456DEST_PATH_IMAGE026
Figure 579665DEST_PATH_IMAGE027
for weight coefficient,
Figure 794615DEST_PATH_IMAGE028
,
Figure 100831DEST_PATH_IMAGE029
be reflection special parameter and adjustable correction factor, make the more realistic traffic of whole model;
2, select observing matrix
Figure 228187DEST_PATH_IMAGE004
, make to pass through
Figure 252644DEST_PATH_IMAGE030
inferior observation obtains the estimated value of density, speed, if passed through
Figure 8635DEST_PATH_IMAGE030
inferior observation can not obtain the density in certain section, the estimated value of speed, and the density in this section, speed must meet the substantially unimpeded condition of road for a long time:
Figure 372620DEST_PATH_IMAGE031
、
Figure 920145DEST_PATH_IMAGE032
Wherein:
Figure 431898DEST_PATH_IMAGE033
,
Figure 739383DEST_PATH_IMAGE034
for the given positive number that is less than 1, otherwise to install traffic flow detecting device additional.
The invention has the beneficial effects as follows: according to the criterion of system condition observability, traffic flow detecting device is set scientifically and rationally, on road, detect in real time the various traffic parameters such as the magnitude of traffic flow, car speed, vehicle density and road occupancy, for Surveillance center analyzes, judges, releases news and control program is selected to provide basic foundation.
Below in conjunction with embodiment, the present invention is elaborated.
Embodiment
1, definition section condition observability discriminant is:
Figure 751682DEST_PATH_IMAGE001
Wherein:
Figure 735688DEST_PATH_IMAGE002
for
Figure 282207DEST_PATH_IMAGE003
the observed reading of moment traffic flow detecting device,
Figure 580333DEST_PATH_IMAGE004
for observing matrix,
Figure 907299DEST_PATH_IMAGE007
，
Figure 805854DEST_PATH_IMAGE008
for the flow of highway entrance,
Figure 795676DEST_PATH_IMAGE009
represent respectively density and the speed of highway outlet,
Figure 872216DEST_PATH_IMAGE010
for the sampling period, for specifying highway section label, for the section sum of this appointment highway division,
Figure 123922DEST_PATH_IMAGE013
be
Figure 558314DEST_PATH_IMAGE011
individual section exists
Figure 566722DEST_PATH_IMAGE003
the average density in moment,
Figure 744762DEST_PATH_IMAGE014
be
Figure 774423DEST_PATH_IMAGE011
individual section exists the average velocity in moment,
Figure 609840DEST_PATH_IMAGE015
for
Figure 591572DEST_PATH_IMAGE003
moment enters from ring road entrance
Figure 472809DEST_PATH_IMAGE011
the flow in individual section,
Figure 269512DEST_PATH_IMAGE016
for
Figure 252511DEST_PATH_IMAGE003
moment flows out the from ramp exit
Figure 772354DEST_PATH_IMAGE011
the flow in individual section,
Figure 508098DEST_PATH_IMAGE017
be
Figure 720774DEST_PATH_IMAGE011
individual road section length,
Figure 925490DEST_PATH_IMAGE018
for equivalent speed,
Figure 314270DEST_PATH_IMAGE019
,
Figure 842204DEST_PATH_IMAGE020
,
Figure 38830DEST_PATH_IMAGE021
for free stream velocity,
Figure 917793DEST_PATH_IMAGE022
be
Figure 841756DEST_PATH_IMAGE011
there is the impact of information display board indication speed parity price speed in individual section,
Figure 424528DEST_PATH_IMAGE023
for the maximum potential density in single track,
Figure 41323DEST_PATH_IMAGE024
Figure 142003DEST_PATH_IMAGE036
for weight coefficient,
Figure 388494DEST_PATH_IMAGE028
,
Figure 851224DEST_PATH_IMAGE029
be reflection special parameter and adjustable correction factor, make the more realistic traffic of whole model;
2, select observing matrix
Figure 767096DEST_PATH_IMAGE004
, make
Figure DEST_PATH_IMAGE037
，
Wherein:
Figure 95178DEST_PATH_IMAGE039
Figure 530838DEST_PATH_IMAGE041
Figure 499462DEST_PATH_IMAGE044
Make to pass through
Figure 568918DEST_PATH_IMAGE030
inferior observation obtains the density in the whole sections of highway, the estimated value of speed; If the observing matrix of selecting
Figure 859085DEST_PATH_IMAGE004
make
Figure DEST_PATH_IMAGE045
，
Pass through inferior observation can not obtain the density in certain section, the estimated value of speed, and the density in these sections, speed must meet the substantially unimpeded condition of road for a long time, as:
Figure 678716DEST_PATH_IMAGE046
、
Figure DEST_PATH_IMAGE047
，
Otherwise install traffic flow detecting device additional.

Claims (1)

1. the highway communication current sensor method to set up based on improving discrete model, is characterized in that comprising the following steps:
(1) definition Highway Conditions observability discriminant is:
Figure 2012100597776100001DEST_PATH_IMAGE002
Wherein:
Figure 2012100597776100001DEST_PATH_IMAGE004
for
Figure 2012100597776100001DEST_PATH_IMAGE006
the observed reading of moment traffic flow detecting device,
Figure 2012100597776100001DEST_PATH_IMAGE008
for observing matrix,
Figure 2012100597776100001DEST_PATH_IMAGE010
Figure 2012100597776100001DEST_PATH_IMAGE012
Figure 2012100597776100001DEST_PATH_IMAGE014
，
Figure 2012100597776100001DEST_PATH_IMAGE016
for the flow of highway entrance,
Figure 2012100597776100001DEST_PATH_IMAGE018
represent respectively density and the speed of highway outlet,
Figure 2012100597776100001DEST_PATH_IMAGE020
for the sampling period,
Figure 2012100597776100001DEST_PATH_IMAGE022
for specifying highway section label,
Figure 2012100597776100001DEST_PATH_IMAGE024
for the section sum of this appointment highway division,
Figure 2012100597776100001DEST_PATH_IMAGE026
be
Figure 155859DEST_PATH_IMAGE022
individual section exists
Figure 446026DEST_PATH_IMAGE006
the average density in moment,
Figure DEST_PATH_IMAGE028
be
Figure 198693DEST_PATH_IMAGE022
individual section exists
Figure 511994DEST_PATH_IMAGE006
the average velocity in moment, for moment enters from ring road entrance
Figure 155913DEST_PATH_IMAGE022
the flow in individual section,
Figure DEST_PATH_IMAGE032
for
Figure 141799DEST_PATH_IMAGE006
moment flows out the from ramp exit
Figure 942396DEST_PATH_IMAGE022
the flow in individual section,
Figure DEST_PATH_IMAGE034
be
Figure 42070DEST_PATH_IMAGE022
individual road section length,
Figure DEST_PATH_IMAGE036
for equivalent speed,
Figure DEST_PATH_IMAGE038
, ,
Figure DEST_PATH_IMAGE042
for free stream velocity,
Figure DEST_PATH_IMAGE044
be there is the impact of information display board indication speed parity price speed in individual section,
Figure DEST_PATH_IMAGE046
for the maximum potential density in single track,
Figure DEST_PATH_IMAGE048
Figure DEST_PATH_IMAGE050
Figure DEST_PATH_IMAGE052
for weight coefficient,
Figure DEST_PATH_IMAGE054
,
Figure DEST_PATH_IMAGE056
be reflection special parameter and adjustable correction factor, make the more realistic traffic of whole model;
(2) select observing matrix , make to pass through
Figure DEST_PATH_IMAGE058
inferior observation obtains the estimated value of density, speed, if passed through
Figure 735198DEST_PATH_IMAGE058
inferior observation can not obtain the density in certain section, the estimated value of speed, and the density in this section, speed must meet the substantially unimpeded condition of road for a long time:
Figure DEST_PATH_IMAGE060
、
Figure DEST_PATH_IMAGE062
Wherein:
Figure DEST_PATH_IMAGE064
,
Figure DEST_PATH_IMAGE066
for the given positive number that is less than 1, otherwise to install traffic flow detecting device additional; Specific implementation is:
Select observing matrix
Figure 386366DEST_PATH_IMAGE008
, make
Figure DEST_PATH_IMAGE068
，
Wherein:
Figure DEST_PATH_IMAGE070
Figure DEST_PATH_IMAGE072
Figure DEST_PATH_IMAGE074
Figure DEST_PATH_IMAGE076
Make to pass through
Figure 152238DEST_PATH_IMAGE058
inferior observation obtains the density in the whole sections of highway, the estimated value of speed; If the observing matrix of selecting
Figure 92644DEST_PATH_IMAGE008
make
Figure DEST_PATH_IMAGE078
，
Pass through
Figure 864903DEST_PATH_IMAGE058
inferior observation can not obtain the density in certain section, the estimated value of speed, and the density in these sections, speed must meet the substantially unimpeded condition of road for a long time:
Figure DEST_PATH_IMAGE080
、
Figure DEST_PATH_IMAGE082
，
Otherwise install traffic flow detecting device additional.
CN201210059777.6A 2012-03-08 2012-03-08 Method for setting highway traffic flow detector based on improved discrete model based Expired - Fee Related CN102610096B (en)

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