CN101719314B - Area traffic jamming triggering point record analysis system and operation method thereof - Google Patents
Area traffic jamming triggering point record analysis system and operation method thereof Download PDFInfo
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- CN101719314B CN101719314B CN2009102199875A CN200910219987A CN101719314B CN 101719314 B CN101719314 B CN 101719314B CN 2009102199875 A CN2009102199875 A CN 2009102199875A CN 200910219987 A CN200910219987 A CN 200910219987A CN 101719314 B CN101719314 B CN 101719314B
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Abstract
The invention relates to an area traffic jamming triggering point record analysis method; the system is composed of an analysis processing computer arranged at the control center, a traffic jamming rapid alarming device arranged on the detection point of the road and a communication line; a jamming detection point upstream and downstream relation database is preseton the analysis processing computer, and a triggering point analytical procedure is operated; after the analysis processing computer receives one jamming alarming message transmitted by the jamming rapid alarming device at each time, the triggering point analytical procedure is started immediately; after the triggering point analytical procedure finds that traffic jamming happens at one jamming detection point, the downstream jamming detection point of the jamming detection point is searched from the upstream and downstream relation database, and according to the current jamming state and theoccurrence time of the current jamming state of the downstream jamming detection point, weather the jamming is affected and generated by the downstream traffic jamming waves is deduced, if yes, the head of a jamming chain is found as the triggering point and a prompt message is given, and the prompt message can be stored separately for use in the future.
Description
Technical field
The present invention relates to a kind of in urban traffic control the fast recording analytical approach to traffic jamming triggering point in the regional extent.
Background technology
Along with the fast development in city, big and medium-sized cities road traffic in rush hour flow is near saturated.Because existing problems such as the roading of certain some section, highway layout, traffic administration; traffic in a regional extent causes in regular meeting produces large tracts of land in rush hour and blocks up; thereby reduced road passage capability significantly, bring very big inconvenience to people's trip.
Accurately find out the initiation point of traffic congestion in the initiation on a large scale, and to take corresponding means to solve be the key that improves the urban road traffic capacity.
In present urban traffic management, the existing detection alarm device that blocks up at road traffic, this type of device can detect road traffic according to the transport information that is collected and the respective algorithms that is disposed and block up, and congestion in road information is sent to control center.Generally, when the commanding of point duty control center finds traffic congestion, formed large tracts of land in fact within the specific limits and blocked up.Traffic congestion except obvious incident initiation such as traffic hazard, vehicle trouble, can accurately determine to cause outside the point, traffic in thereby the regional extent causing former because of certain any roading, highway layout, traffic administration, weather etc., produce the phenomenon block up even paralyse in rush hour, generally be not easy found.Therefore also just can not improve targetedly in time and correct, thereby cause road passage capability to descend significantly.
Goal of the invention
Not enough for overcoming in the prior art, provide a kind of and can accurately find, analyze the method for work that causes the initiation point of traffic congestion in the regional extent.
Summary of the invention
Realize that system of the present invention is made of the analysis processing computer that is arranged on control center, the traffic congestion Rapid Alarm device and the communication line that are arranged on the city road network.Default tested measuring point upstream and downstream relational database on the analysis processing computer, operation has the point analysis of initiation program.
Traffic congestion zone is on a large scale often taking place, in the intersection, the ring road mouth or the junction of two streams of through street or loop, or according to actual needs in the through street or loop every a segment distance, tested measuring point is set respectively, the Rapid Alarm device that blocks up is installed.After certain tested measuring point got congestion, this point is installed, and the Rapid Alarm device that blocks up can be fast sends jam alarming information to the analysis processing computer of point duty control center.
Be arranged on the Rapid Alarm device that blocks up of the check point that blocks up in check point and the no signal lamp control highway section that blocks up of signal lamp control crossroad, it comprises " check point that blocks up numbering congestion status " etc. to main field that jam alarming information comprised that the analysis processing computer of control center sends, congestion status is that traffic congestion has taken place in 1 expression, is that traffic congestion does not take place in 0 expression.
Preset the upstream and downstream relational database at tested measuring point on the analysis processing computer, main field comprises that upstream tested measuring point numbering u, detected downstream point number fields such as the long wave of the shortwave of d, downstream influences upstream and time tmin, downstream influences upstream and time tmax.
Its basic functional principle is:
At first be unique numbering of each check point definition.After certain blocks up check point generation traffic congestion, block up or slowly continuity backward of queuing meeting, feed through to certain check point that blocks up of this traffic flow upstream gradually, traffic congestion also takes place thereby cause this point.A pair of downstream so just is saved in the upstream and downstream relational database the upstream of the influential relation in upstream the block up numbering of check point of check point, downstream of blocking up.
But, be not that block up check point, downstream of each a pair of upstream blocks up check point when all traffic congestion taking place, all must be the traffic congestion in downstream has caused the upstream traffic congestion.Check point is prior to the downstream check point generation traffic congestion of blocking up if the upstream blocks up, though or very shorter than downstream late time interval that check point takes place of blocking up, then obviously the block up traffic congestion of check point of upstream is caused by the downstream.Therefore, according to every group of upstream and downstream factors such as speed that the spacing, vehicle queue of check point pile up of blocking up, for every group of upstream and downstream check point that blocks up is provided with the shortwave and the time of corresponding downstream influences upstream and is saved in the upstream and downstream relational database.When the time interval that time that the upstream traffic congestion is taken place and downstream traffic congestion are taken place is worth less than this, do not think that then blocking up of this upstream caused by blocking up of downstream.
Equally, if the upstream blocks up the traffic congestion of check point be after the downstream blocks up check point generation traffic congestion for a long time after just take place, so this time blocking up not is to be that the traffic congestion of the check point because the downstream blocks up causes.Therefore, in the upstream and downstream relational database, also be provided with the long wave and the time of corresponding downstream influences upstream for every group of upstream and downstream check point that blocks up.When time that the upstream traffic congestion is taken place and downstream traffic congestion taken place interval greater than this value the time, also do not think that blocking up of this upstream caused by blocking up of downstream.
The long wave of the shortwave of downstream influences upstream and time, downstream influences upstream and time all should be set according to the block up spacing of check point, the concrete conditions such as speed that vehicle queue is piled up of every group of upstream and downstream by traffic engineer.
Area traffic jamming triggering point record analytical approach provided by the present invention is:
At first set up the check point state table that blocks up dynamically after the system start-up, main field comprises block up check point numbering n, current congestion status s, current congestion status time of origin t, the first-class field of the chain that blocks up.
The block up implication of begin chain: when traffic congestion takes place a certain check point A that blocks up in the reality, its upstream check point B that blocks up may appear having involved, inducing B has produced traffic congestion, and the traffic congestion of the check point B that blocks up has after a while involved the upstream of the B check point C that blocks up, cause C and also produced traffic congestion, like this, just produced a chain that blocks up that the begin chain that blocks up is A, the begin chain that blocks up of A, B, three points of C is A.
Analysis processing computer is when receiving a jam alarming information from the Rapid Alarm device that blocks up of the check point that blocks up, operation immediately once causes the point analysis program, and with check point numbering and congestion status two suction parameters as initiation point analysis program of blocking up of jam alarming information.Cause the point analysis program this jam alarming information is analyzed, the traffic congestion of finding this check point that blocks up is blocked up by the downstream to involve and when causing, send corresponding prompt information immediately.
Analysis result uses in the time of also can being saved in other databases for traffic analysis in the future or road reformation, planning separately, no longer describes in detail herein.
The process flow diagram that causes the point analysis program is as shown in Figure 1:
(1) at first in the check point state table that blocks up, searches the record that the check point that blocks up is numbered n=N, do not have then in the check point state table that blocks up, to add the record of block up check point numbering n=N, current congestion status s=S, the current system time of current congestion status time of origin t=and forward (3) to, have and judge then whether the current congestion status in the record is identical with S, the identical congestion status of this point of then representing does not change, directly forwarding (8) to withdraws from, variation has taken place in the congestion status of this point of then representing inequality, then
(2) the current congestion status s with this record is changed to S, current congestion status time of origin t is changed to current system time, then
(3) judge that whether S is 1 and can finds the block up record of check point numbering u=N of upstream in the upstream and downstream relational database, otherwise represent that this point has just become and do not block up or do not have the downstream check point that blocks up, the begin chain that blocks up of this record is changed to 0, forwards (8) then to and withdraw from; Be the traffic congestion of then having represented this kainogenesis and the downstream check point that blocks up is arranged, then
(4) its downstream the block up long wave and the time tmax of the shortwave of check point numbering d, downstream influences upstream and time tmin, downstream influences upstream in the reading and recording, and in the check point state table that blocks up, search the record that whether has the check point that blocks up to be numbered d, otherwise there is not the block up congestion status record of check point d of downstream in the instruction card, the downstream does not block up, and forwards (8) to and withdraws from; Be that the block up record of check point d of downstream then is described, then
(5) continue to judge the downstream block up the current congestion status of check point d whether be 1 and the interval of current congestion status time of origin and current system time greater than tmin and less than tmax, otherwise illustrate that the blocking up of check point N of blocking up caused by its downstream check point d that blocks up, forward (8) to and withdraw from; Be to illustrate that then the blocking up of check point N of blocking up is caused by downstream involving of check point d of blocking up, then
(6) judge whether the block up begin chain that blocks up of record of check point d of this downstream is 0, also not caused by involving of other points by 0 explanation downstream the blocking up of check point d of blocking up, can think that check point N and its downstream blocking up of check point d of blocking up of blocking up cause by the same begin chain that blocks up, be in the same chain that blocks up, make the begin chain that blocks up of the begin chain that the blocks up=check point d that blocks up of the check point N that blocks up; Be that 0 explanation check point d that blocks up is the head of chain of blocking up, the block up begin chain that blocks up of the check point d and the check point N that blocks up of order is equal to the check point d that blocks up, then
(7) begin chain that blocks up that sends the check point d that blocks up has caused the prompting of blocking up of the check point N that blocks up, so that preserve separately and use in the future, then
(8) withdraw from the operation that this causes the point analysis program.
Figure of description
Fig. 1 causes the point analysis program flow diagram
Embodiment
Suppose and in a certain zone, be provided with several check points that block up, three signal lamp control crossroads are wherein arranged, be numbered 1001,1002,1003 the check point that blocks up being provided with respectively from east to west of each crossing, having carried out in the upstream and downstream relational database can be as giving a definition:
At first set up the check point state table that blocks up dynamically after the system start-up, the jam alarming information that check point reports because Shang Weiyou blocks up when just starting, so should table temporarily be empty:
Suppose 08:00:00, traffic congestion has appearred in the check point 1002 that blocks up, the traffic congestion Rapid Alarm device of the signal lamp control crossroad of this check point that blocks up has sent the warning message of " 10021 " to the analysis processing computer of control center, analysis processing computer starts initiation point analysis program after receiving this information immediately, and suction parameter is block up check point numbering=1002, congestion status=1.
Cause the point analysis program and at first in the check point state table that blocks up, search the record that the check point that blocks up is numbered n=1002, do not have, then in the check point state table that blocks up, add the check point numbering n=1002 that blocks up, current congestion status s=1, the record of current congestion status time of origin t=08:00:00, judge that then whether S (=1) is 1 and can finds the block up record of check point numbering u=1002 of upstream in the upstream and downstream relational database, be, the traffic congestion of then having represented 1002 kainogenesises and the downstream check point that blocks up is arranged, its downstream check point numbering d (=1001) that blocks up then, the shortwave and the time tmin (=60 seconds) of downstream influences upstream, the long wave and the time tmax (=600 seconds) of downstream influences upstream, and in the check point state table that blocks up, search the record that whether has the check point that blocks up to be numbered d (=1001), not, then there is not the block up congestion status record of check point d of downstream in the instruction card, the downstream does not block up, withdraw from the operation that this causes the point analysis program, this traffic congestion of 1002 does not cause a little.
Suppose 08:05:00 again, traffic congestion has appearred in the check point 1003 that blocks up, the traffic congestion Rapid Alarm device of the signal lamp control crossroad of this check point that blocks up has sent the warning message of " 10031 " to the analysis processing computer of control center, analysis processing computer starts initiation point analysis program after receiving this information immediately, and suction parameter is block up check point numbering=1003, congestion status=1.
Cause the point analysis program and at first in the check point state table that blocks up, search the record that the check point that blocks up is numbered n=1003, then in the check point state table that blocks up, do not add the check point numbering n=1003 that blocks up, current congestion status s=1, the record of current congestion status time of origin t=08:05:00, judge that then whether S (=1) is 1 and can finds the block up record of check point numbering u=1003 of upstream in the upstream and downstream relational database, be the traffic congestion of then having represented this kainogenesis and the downstream check point that blocks up is arranged, then read its downstream check point numbering d (=1002) that blocks up, the shortwave and the time tmin (=80 seconds) of downstream influences upstream, the long wave and the time tmax (=800 seconds) of downstream influences upstream, and in the check point state table that blocks up, search the record that whether has the check point that blocks up to be numbered d (=1002), have, then continue to judge the downstream block up the current congestion status (=1) of check point d (=1002) whether be 1 and current congestion status time of origin (=08:00:00) and current system time (=08:05:00) interval (=300 seconds) is greater than tmin (=80 seconds) and less than tmax (=800 seconds), be, then explanation the blocking up of check point N (=1003) of blocking up is caused by downstream involving of check point d (=1002) of blocking up, then whether the block up begin chain that blocks up of record of check point d (=1002) of downstream is 0, be, the head of check point d (=1002) for the chain that blocks up that block up then is described, make the begin chain that blocks up of block up the check point d (=1002) and the check point N (=1003) that blocks up be equal to the check point d (=1002) that blocks up, the begin chain that blocks up (=1002) that sends the check point d that blocks up has then caused the prompting of blocking up of the check point N (=1003) that blocks up, so that preserve separately and use in the future, withdraw from the operation that this causes the point analysis program then.
Claims (1)
1. area traffic jamming triggering point record analysis method, it is characterized in that: default check point upstream and downstream relational database, its main field comprises: the upstream check point numbering u that blocks up, the downstream check point numbering d that blocks up, the shortwave and the time tmin of downstream influences upstream, the long wave and the time tmax of downstream influences upstream, at first set up a dynamic check point state table after the system start-up, main field comprises the check point numbering n that blocks up, current congestion status s, current congestion status time of origin t, begin chain h blocks up, definition s=1 represents to have taken place traffic congestion, s=0 represents not take place traffic congestion, and analytical procedure is as follows:
(1) at first in the check point state table, searches the record that check point is numbered n=N, do not have then in the check point state table, to add the record of block up check point numbering n=N, current congestion status s=S, the current system time of current congestion status time of origin t=and forward (3) to, have and judge then whether the current congestion status in the record is identical with S, the identical congestion status of this point of then representing does not change, directly forwarding (8) to withdraws from, variation has taken place in the congestion status of this point of then representing inequality, then
(2) the current congestion status s with this record is changed to S, current congestion status time of origin t is changed to current system time, then
(3) judge that whether S is 1 and can finds the record of upstream detection point numbering u=N in the upstream and downstream relational database, do not block up or do not have a detected downstream point, the begin chain h that blocks up of this record is changed to 0, forward (8) then to and withdraw from otherwise represent that this point has just become; Be the traffic congestion of then having represented this kainogenesis and the detected downstream point is arranged, then
(4) the long wave and the time tmax of the shortwave of its detected downstream point numbering d, downstream influences upstream and time tmin, downstream influences upstream in the reading and recording, and in the check point state table, search the record that whether has check point to be numbered d, otherwise the congestion status record that does not have detected downstream point d in the instruction card, the downstream does not block up, and forwards (8) to and withdraws from; Be the record that detected downstream point d then is described, then
(5) the current congestion status that continues to judge detected downstream point d whether be 1 and the interval of current congestion status time of origin and current system time greater than tmin and less than tmax, otherwise illustrate that blocking up of check point N caused by its detected downstream point d, forward (8) to and withdraw from; Be to illustrate that then blocking up of check point N is caused by involving of detected downstream point d, then
(6) whether the begin chain that blocks up of judging the record of this detected downstream point d is 0, also not caused by involving of other points by 0 blocking up of explanation detected downstream point d, think that check point N and blocking up of its detected downstream point d cause by the same begin chain h that blocks up, be in the same chain that blocks up, make the begin chain h that blocks up of the begin chain that the blocks up=check point d that blocks up of check point N; Be that 0 explanation check point d is the head of chain of blocking up, make the begin chain that blocks up of check point d and check point N be equal to check point d, then
(7) begin chain that blocks up that sends check point d has caused the prompting of blocking up of check point N, then
(8) withdraw from the operation of this analytical approach.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1928945A (en) * | 2006-09-20 | 2007-03-14 | 烟台麦特电子有限公司 | Traffic road condition gathering promulgation method based on GPRS |
CN1928948A (en) * | 2006-07-18 | 2007-03-14 | 姜廷顺 | Urban road traffic congestion detecting alarm system and operation method thereof |
CN101178851A (en) * | 2007-11-27 | 2008-05-14 | 张涛 | Intelligent traffic control system and method based on vehicle mounted intelligent terminal |
-
2009
- 2009-11-17 CN CN2009102199875A patent/CN101719314B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1928948A (en) * | 2006-07-18 | 2007-03-14 | 姜廷顺 | Urban road traffic congestion detecting alarm system and operation method thereof |
CN1928945A (en) * | 2006-09-20 | 2007-03-14 | 烟台麦特电子有限公司 | Traffic road condition gathering promulgation method based on GPRS |
CN101178851A (en) * | 2007-11-27 | 2008-05-14 | 张涛 | Intelligent traffic control system and method based on vehicle mounted intelligent terminal |
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