CN102610098A - Method for setting road section traffic flow detector based on discrete model - Google Patents

Method for setting road section traffic flow detector based on discrete model Download PDF

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Publication number
CN102610098A
CN102610098A CN2012100597846A CN201210059784A CN102610098A CN 102610098 A CN102610098 A CN 102610098A CN 2012100597846 A CN2012100597846 A CN 2012100597846A CN 201210059784 A CN201210059784 A CN 201210059784A CN 102610098 A CN102610098 A CN 102610098A
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highway section
road
traffic
traffic flow
individual
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CN102610098B (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 road section traffic flow detector based on a discrete model in order to solve the problem that an existing traffic flow detector in manual layout cannot obtain needed traffic parameters by the aid of a small number of monitoring points. Road section condition observability discriminant is defined according to a macroscopic traffic flow discrete model, various traffic parameters including traffic flow, vehicle speed, traffic density, road occupancy rate and the like are detected in real time on a road by adjusting the setting scheme of the traffic flow detector, information is analyzed, judged and issued by a monitoring center, the basis of a control scheme is proposed, and integral running efficiency and management level are improved.

Description

A kind of road section traffic volume current sensor method to set up based on discrete model
Technical field
The present invention relates to road traffic current sensor method to set up, particularly a kind of road section traffic volume current sensor method to set up based on discrete model.
Background technology
Along with developing rapidly of highway communication forwarding business, highway administration department need make regular check on the road behaviour in service, so that corresponding maintenance measure is made on damaged road surface.The method of the artificial visual inspection of traditional use, paper notes record pavement behavior has been difficult to adapt to the requirement of high grade highway development; How under the situation that does not influence the normal traffic transportation, make detection and localization rapidly and accurately, become present urgent problem damaged position occurring on the whole road section surface; In addition, the crossing of present many domestic city, important highway section and highway ring road mouth, responsive highway section (accident is multiple, bend is many etc.) all set up the fixed position checkout equipment.Can detect traffic (like vehicle flowrate, the speed of a motor vehicle, density etc.) and accident generation information in the fixed range in real time; But,, the fixed test point can not all be set in each highway section owing to many-sided reason (mainly being the funds reason); Like this; For the highway section that checkout equipment is not set; Usually adopt following dual mode to obtain relevant information: the one, to obtain information be that this road section traffic volume situation is estimated on the basis to close on check point; The 2nd, accident, congestion information circular telephone number is set, passive type is accepted the phone circular traffic that the human pilot of driving vehicle on this highway section is made, and just obtains information with the mode of manual work; Be not provided with on the highway section of checkout equipment,, coming to handle, needing to keep the scene of the accident so that investigation and evidence collection and affirmation accident responsibility side so just very easily cause blocking up of highway section in order to wait for the traffic police in case sudden traffic hazard takes place.And the traffic behavior perception is one of basis and gordian technique of intelligent transportation system; Accurately, obtain basic traffic data and comprehensive traffic information fast and reliably; For monitoring, management, maneuver traffic operation; Improve the transport services quality, guarantee traffic safety, it is significant to alleviate traffic congestion.
Aspect the transport information administration obtains, be mainly used in the management of transportations such as toll on the road and bridge, long-distance transport or city bus both at home and abroad, can adopt administrative means to obtain part vehicle and segment path information; Yet the most vehicles that in the city, go can not given administrative authority with the GPS report information of own vehicle at present, even in developed countries such as the U.S., because human rights issues such as privacy also can not be executed in the recent period; Surveillance is a lot of on the modern road; But which monitor must detect various traffic parameters such as the magnitude of traffic flow, car speed, vehicle density and road occupancy in real time on road at least; Analyze, judge, release news and propose the basic foundation of controlling schemes as Surveillance center, improve overall operation efficiency and management level; The traffic flow detecting device remains artificial layout at present.
Summary of the invention
In order to overcome the problem that the existing artificial layout of magnitude of traffic flow detecting device can not obtain required traffic parameter with a small amount of monitoring point; The invention provides a kind of road section traffic volume current sensor method to set up based on discrete model; This method is according to macroscopical traffic flow discrete model definition highway section condition observability discriminant; The plan of establishment through adjustment traffic flow detecting device; On road, detect various traffic parameters such as the magnitude of traffic flow, car speed, vehicle density and road occupancy in real time, the basic foundation as Surveillance center analyzes, judges, releases news and propose controlling schemes improves overall operation efficiency and management level.
The technical solution adopted for the present invention to solve the technical problems: a kind of road section traffic volume current sensor method to set up based on discrete model is characterized in that may further comprise the steps:
1, definition highway section condition observability discriminant is:
Figure 2012100597846100002DEST_PATH_IMAGE001
Wherein:
Figure 296889DEST_PATH_IMAGE002
Be observing matrix,
Figure 2012100597846100002DEST_PATH_IMAGE003
Be the sampling period,
Figure 2012100597846100002DEST_PATH_IMAGE005
Be appointment highway section label,
Figure 278139DEST_PATH_IMAGE006
Be this highway section sum of specifying highway to divide,
Figure 2012100597846100002DEST_PATH_IMAGE007
Be
Figure 13618DEST_PATH_IMAGE008
Individual highway section exists Average density constantly,
Figure 913441DEST_PATH_IMAGE010
Be Individual highway section exists
Figure 216902DEST_PATH_IMAGE009
Average velocity constantly, For
Figure 401514DEST_PATH_IMAGE009
Constantly get into the from the ring road inlet
Figure 788633DEST_PATH_IMAGE011
The flow in individual highway section,
Figure 2012100597846100002DEST_PATH_IMAGE013
For Constantly flow out the from the ring road outlet
Figure 786381DEST_PATH_IMAGE011
The flow in individual highway section, Be
Figure 628886DEST_PATH_IMAGE011
Individual road section length, V e Be equivalent speed, ,
Figure 602046DEST_PATH_IMAGE016
,
Figure 2012100597846100002DEST_PATH_IMAGE017
Be free stream velocity,
Figure 10463DEST_PATH_IMAGE018
Be There is information display board indication speed parity price velocity effect in individual highway section,
Figure 2012100597846100002DEST_PATH_IMAGE019
Be the maximum potential density in single track,
Figure 874218DEST_PATH_IMAGE020
Be weight coefficient,
Figure 2012100597846100002DEST_PATH_IMAGE021
Be reflection special parameter and adjustable correction factor, make The model more meet actual traffic; Full application form symbol is identical;
2, select observing matrix
Figure 585822DEST_PATH_IMAGE002
; Can express the estimated value of density, speed through twice observation; If the traffic flow detecting device is not installed in this highway section, then the density in this highway section, speed must satisfy the unimpeded basically condition of road for a long time:
Figure 996817DEST_PATH_IMAGE022
、
Figure 2012100597846100002DEST_PATH_IMAGE023
Wherein:
Figure 135674DEST_PATH_IMAGE024
,
Figure DEST_PATH_IMAGE025
are given less than 1 positive number, otherwise will install the traffic flow detecting device additional.
The invention has the beneficial effects as follows: according to the criterion of system condition observability; The traffic flow detecting device is set scientifically and rationally; On road, detect various traffic parameters such as the magnitude of traffic flow, car speed, vehicle density and road occupancy in real time, for Surveillance center analyzes, judges, releases news and controlling schemes selects to provide basic foundation.
Below in conjunction with embodiment the present invention is elaborated.
Embodiment
1, definition highway section condition observability discriminant is:
Figure 456453DEST_PATH_IMAGE026
Wherein:
Figure 706169DEST_PATH_IMAGE003
Be the sampling period,
Figure 213812DEST_PATH_IMAGE011
Be appointment highway section label, Be this highway section sum of specifying highway to divide,
Figure 331645DEST_PATH_IMAGE007
Be Individual highway section exists
Figure 67697DEST_PATH_IMAGE009
Average density constantly,
Figure 548356DEST_PATH_IMAGE010
Be
Figure 640465DEST_PATH_IMAGE011
Individual highway section exists Average velocity constantly,
Figure 191849DEST_PATH_IMAGE012
For
Figure 241146DEST_PATH_IMAGE009
Constantly get into the from the ring road inlet The flow in individual highway section,
Figure 681671DEST_PATH_IMAGE013
For
Figure 30132DEST_PATH_IMAGE009
Constantly flow out the from the ring road outlet
Figure 118173DEST_PATH_IMAGE011
The flow in individual highway section, Be
Figure 129914DEST_PATH_IMAGE011
Individual road section length, V e Be equivalent speed, ,
Figure 529507DEST_PATH_IMAGE016
,
Figure 283836DEST_PATH_IMAGE017
Be free stream velocity, Be
Figure 66603DEST_PATH_IMAGE011
There is information display board indication speed parity price velocity effect in individual highway section, Be the maximum potential density in single track,
Figure 209844DEST_PATH_IMAGE020
Be weight coefficient,
Figure 750546DEST_PATH_IMAGE021
Be reflection special parameter and adjustable correction factor, make The model more meet actual traffic;
2, if when getting
Figure DEST_PATH_IMAGE027
, then
Figure 830632DEST_PATH_IMAGE028
Wherein:
Figure DEST_PATH_IMAGE029
Can observe the speed and the density Estimation value in this highway section through measuring speed, if the traffic flow detecting device is not installed in this highway section, then the density in this highway section, speed must satisfy the unimpeded basically condition of road for a long time: for example:
The unimpeded basically condition of foot road, as:
、
Figure DEST_PATH_IMAGE031
，
Otherwise install the traffic flow detecting device additional.

Claims (1)

1. road section traffic volume current sensor method to set up based on discrete model is characterized in that may further comprise the steps:
1) definition highway section condition observability discriminant is:
Figure 2012100597846100001DEST_PATH_IMAGE001
Wherein:
Figure 837894DEST_PATH_IMAGE002
Be observing matrix,
Figure 2012100597846100001DEST_PATH_IMAGE003
Be the sampling period,
Figure 2012100597846100001DEST_PATH_IMAGE005
Be appointment highway section label,
Figure 97275DEST_PATH_IMAGE006
Be this highway section sum of specifying highway to divide,
Figure 2012100597846100001DEST_PATH_IMAGE007
Be Individual highway section exists
Figure DEST_PATH_IMAGE009
Average density constantly,
Figure 725539DEST_PATH_IMAGE010
Be
Figure 512971DEST_PATH_IMAGE005
Individual highway section exists
Figure 788095DEST_PATH_IMAGE009
Average velocity constantly,
Figure 431565DEST_PATH_IMAGE011
For
Figure 504082DEST_PATH_IMAGE009
Constantly get into the from the ring road inlet
Figure 233004DEST_PATH_IMAGE005
The flow in individual highway section,
Figure 834188DEST_PATH_IMAGE012
For
Figure 332165DEST_PATH_IMAGE009
Constantly flow out the from the ring road outlet
Figure 103812DEST_PATH_IMAGE005
The flow in individual highway section, Be
Figure 791801DEST_PATH_IMAGE005
Individual road section length, V e Be equivalent speed,
Figure 674306DEST_PATH_IMAGE014
,
Figure DEST_PATH_IMAGE015
,
Figure 557155DEST_PATH_IMAGE016
Be free stream velocity, Be
Figure 299371DEST_PATH_IMAGE008
There is information display board indication speed parity price velocity effect in individual highway section,
Figure 737305DEST_PATH_IMAGE018
Be the maximum potential density in single track,
Figure DEST_PATH_IMAGE019
Be weight coefficient,
Figure 680292DEST_PATH_IMAGE020
Be reflection special parameter and adjustable correction factor, make The model more meet actual traffic; Full application form symbol is identical;
2) select observing matrix
Figure 827895DEST_PATH_IMAGE002
; Can express the estimated value of density, speed through twice observation; If the traffic flow detecting device is not installed in this highway section, then the density in this highway section, speed must satisfy the unimpeded basically condition of road for a long time:
Figure DEST_PATH_IMAGE021
、
Figure 941345DEST_PATH_IMAGE022
Wherein: ,
Figure 412382DEST_PATH_IMAGE024
are given less than 1 positive number, otherwise will install the traffic flow detecting device additional.
CN201210059784.6A 2012-03-09 2012-03-09 Method for setting road section traffic flow detector based on discrete model Expired - Fee Related CN102610098B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103198672A (en) * 2013-03-27 2013-07-10 大连海事大学 Method for laying urban road network traffic flow detectors
CN103489316A (en) * 2013-09-10 2014-01-01 同济大学 Method for arranging network traffic flow detectors based on road network topological relation

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19729914A1 (en) * 1997-07-04 1999-01-07 Mannesmann Ag Process for the analysis of a traffic network, traffic analysis, traffic forecast as well as creation of a historical traffic database and traffic analysis and forecasting center
CN101025861A (en) * 2007-02-12 2007-08-29 吉林大学 Detector layout method for urban traffic signal control system
CN102169630A (en) * 2011-03-31 2011-08-31 上海电科智能系统股份有限公司 Quality control method of road continuous traffic flow data
CN102306450A (en) * 2011-08-30 2012-01-04 同济大学 Layout method for traffic detectors of sparse road network
CN102360526A (en) * 2011-09-28 2012-02-22 东南大学 Real-time monitoring method for road section state of high road

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19729914A1 (en) * 1997-07-04 1999-01-07 Mannesmann Ag Process for the analysis of a traffic network, traffic analysis, traffic forecast as well as creation of a historical traffic database and traffic analysis and forecasting center
CN101025861A (en) * 2007-02-12 2007-08-29 吉林大学 Detector layout method for urban traffic signal control system
CN102169630A (en) * 2011-03-31 2011-08-31 上海电科智能系统股份有限公司 Quality control method of road continuous traffic flow data
CN102306450A (en) * 2011-08-30 2012-01-04 同济大学 Layout method for traffic detectors of sparse road network
CN102360526A (en) * 2011-09-28 2012-02-22 东南大学 Real-time monitoring method for road section state of high road

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103198672A (en) * 2013-03-27 2013-07-10 大连海事大学 Method for laying urban road network traffic flow detectors
CN103489316A (en) * 2013-09-10 2014-01-01 同济大学 Method for arranging network traffic flow detectors based on road network topological relation

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