CN111275989B - Single-point signal timing optimization method driven by congestion alarm - Google Patents
Single-point signal timing optimization method driven by congestion alarm Download PDFInfo
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- CN111275989B CN111275989B CN201911426114.1A CN201911426114A CN111275989B CN 111275989 B CN111275989 B CN 111275989B CN 201911426114 A CN201911426114 A CN 201911426114A CN 111275989 B CN111275989 B CN 111275989B
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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
- G08G1/056—Detecting movement of traffic to be counted or controlled with provision for distinguishing direction of travel
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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
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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
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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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
- G08G1/0133—Traffic data processing for classifying traffic situation
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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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
Abstract
The invention discloses a single-point signal timing optimization method driven by congestion alarm, which comprises the following steps: taking a signal period as a sampling frequency, acquiring the saturation of each flow direction of any intersection L, the average speed of each entrance road section entering the intersection L from each intersection adjacent to the intersection L and the corresponding highest speed limit, calculating to obtain the traffic state intensity of each flow direction of the intersection L, and comparing the traffic state intensity of any flow direction m of the intersection L with the corresponding traffic state intensity threshold value; when the flow direction traffic state intensity of the flow direction m is larger than the traffic state intensity threshold value in 3 sampling periods continuously, triggering a congestion alarm signal of the intersection L, which flows to the flow direction m; the method has the characteristics of establishing a feedback mechanism of single-point signal timing optimization driven by congestion alarm and adjusting a signal timing scheme according to refined flow direction level congestion alarm information.
Description
Technical Field
The invention relates to the technical field of intelligent traffic, in particular to a single-point signal timing optimization method driven by congestion alarm.
Background
The traffic jam alarm is used as a key technology in an urban intelligent traffic system, refers to recognition and early warning of a jam traffic state of an urban road network, and can be used for guiding optimization of a crossing traffic signal timing strategy.
With the rapid development of detection technology in the traffic industry, traffic jam alarming is mainly transited to automatic identification based on the traffic detection technology through manual discovery of a traditional traffic police command center. With the arrival of the traffic big data era, particularly with the introduction of internet data such as high-grade data, dripping data and the like and the fusion of the internet data and traditional traffic data, on one hand, the accuracy and reliability of traffic jam alarm detection data are increasingly improved; on the other hand, the object of traffic jam alarm tends to be fine-grained, and the traditional alarm facing to the intersection level is promoted to the alarm facing to the intersection inlet and even the flow level. The above creates favorable conditions for deep mining and utilization of traffic jam alarm information.
The intersection is used as a node of urban traffic jam, and the problem of the traffic jam at the intersection level is solved, so that the urban traffic jam is always the basis of urban jam control work. The method for optimizing the traffic signal timing of the congestion alarm data becomes a new idea for solving the congestion at present. Therefore, how to effectively utilize fine-grained traffic jam alarm information of the intersection to serve for optimizing signal timing of the intersection has wide application value and important practical significance in relieving urban traffic jam.
Disclosure of Invention
The invention aims to overcome the defect of traffic jam in the prior art and provides a single-point signal timing optimization method driven by jam alarm.
In order to achieve the purpose, the invention adopts the following technical scheme:
a single-point signal timing optimization method driven by congestion alarm comprises the following steps:
(1-1) acquiring the saturation of each flow direction of any intersection L, the average speed of each inlet road section entering the intersection L from each intersection adjacent to the intersection L and the corresponding highest speed limit by taking a signal period as a sampling frequency, calculating to obtain the traffic state intensity of each flow direction of the intersection L, and comparing the traffic state intensity of any flow direction m of the intersection L with the corresponding traffic state intensity threshold value; when the flow direction traffic state intensity of the flow direction m is larger than the traffic state intensity threshold value in 3 sampling periods continuously, triggering a congestion alarm signal of the intersection L, which flows to the flow direction m;
the traffic state intensity threshold is calculated based on the average value of the traffic intensity of the effective peak time period of the last week, wherein the effective peak time period refers to the early peak time period and the late peak time period under the condition of normal working days;
(1-2) after the traffic flow m of the intersection L triggers a congestion alarm signal, the traffic state intensity P of the intersection L flowing to m at the current moment im，iThe congestion alarm intensity of the intersection L flowing to the intersection m is called, and the congestion alarm duration of the intersection L flowing to the intersection m is calculated;
(1-3) inputting the congestion alarm intensity when the intersection L flows to m and the congestion alarm duration when the intersection L flows to m into a fuzzy controller, and outputting the congestion alarm level when the intersection L flows to m;
(1-4) defining a traffic jam mode of the intersection L according to the flow direction distribution of the jam alarm of the intersection L and the corresponding jam level; after the traffic jam mode of the intersection L is obtained, judging whether the current traffic mode is a frequent jam mode;
(1-5) entering an automatic handling process of congestion alarm according to a traffic congestion mode of the intersection L;
(1-6) determining the operation mode of the alarm handling scheme according to whether the traffic jam mode of the intersection L is the frequent jam mode.
According to the invention, the traffic jam alarm intensity and the jam alarm duration are combined, reasonable grade division is realized for the jam alarm of the intersection through the fuzzy controller, and the jam grade is used for adjusting a single-point signal timing scheme, so that the optimal amplitude of intersection signal timing is matched with the jam alarm grade.
According to the method, based on congestion flow direction distribution and corresponding traffic flow direction grades at the intersection, the intersection traffic congestion mode is defined from the space dimension, meanwhile, various congestion scenes are scientifically classified from the time dimension based on occurrence time interval regularity and occurrence frequency, and accurate positioning of intersection traffic congestion problems is achieved.
The invention establishes a feedback mechanism of single-point signal timing optimization driven by congestion alarm. And adjusting a signal timing scheme according to refined flow direction level congestion alarm information in a targeted manner, continuously tracking the scheme after the scheme is issued and operated, and repeating the steps to realize iterative optimization of a single-point normal timing scheme.
Preferably, the traffic state intensity P of the current time i, the intersection L and the flow direction m are calculated by the following formulam，i：
Wherein x ism，iThe saturation of the flow direction m of the intersection L at the current moment i, wherein the saturation specifically refers to the ratio of the traffic flow to the traffic capacity of the intersection in the period of the flow direction m, vj N＝(1-vi/Vc) Traffic intensity, v, for an entrance section characterized by normalized speediThe average speed of the road section of the inlet L at the current moment i; vcThe highest speed limit of the road section of the intersection L flowing to the m at the current moment i is obtained;
Pthare parameters.
Preferably, the initial value of the traffic state intensity threshold value for the flow direction m is 0.6; updating the traffic state intensity threshold value according to a one-week time interval, and recalculating the traffic state intensity threshold value at each Monday zero-point moment;
the calculation method of the traffic state intensity threshold value comprises the following steps:
wherein the content of the first and second substances,
the average value calculated for the traffic state intensity during the effective peak period of the current direction m of the last week refers to the early peak and late peak periods of the normal working day.
Preferably, the congestion warning duration is calculated by the following steps:
let tm，nIntensity of traffic state of flow direction m for intersection LWhen n times is larger than the threshold value of the traffic state intensity, when n is larger than or equal to 3, triggering a congestion alarm signal of the intersection L flowing to m, and setting the congestion alarm duration as tm，n-tm，1。
Preferably, the input of the fuzzy controller comprises congestion alarm intensity and congestion alarm duration, and the output is congestion alarm level;
the discourse domain of the congestion alarm signal strength is as follows: the language values are small VS1, small S1, small LS1, large LB1, large B1 and large VB1, and a trapezoidal membership function is adopted;
the discourse domain of the duration of the congestion warning signal is as follows: the language values are short VS2, short S2, long L2 and long VL2, and a trapezoidal membership function is adopted;
the discourse domain of the congestion alarm level is as follows: the language values are low L, medium M and high H, qualitative grading is given, and membership degree division is not needed; and the congestion alarm grades are sequentially corresponding to a first grade, a second grade and a third grade according to the low, the medium and the high.
The fuzzy rules of the fuzzy controller are as follows: the congestion alarm level and the congestion alarm intensity form a positive correlation, and the congestion alarm level and the congestion alarm duration form a positive correlation.
Preferably, the frequent congestion mode refers to a traffic congestion mode which simultaneously meets two conditions of occurrence time interval regularity and occurrence frequency; the regularity condition of the occurrence time interval is that half an hour is taken as a time interval, the occurrence time interval is considered to have regularity as long as more than 6 times of traffic jam occurs in the time interval, and the time interval is marked as the occurrence time interval of the corresponding traffic jam mode; the occurrence frequency condition is that the ratio of the regular traffic jam occurrence days in the last month is more than 1/2.
Preferably, (1-5) comprises the steps of:
(1-5-1) acquiring a timing scheme of the current moment of the intersection L, wherein the timing scheme comprises a signal period, each phase, phase time of each phase and the maximum green time of each phase;
(1-5-2) identifying a congestion phase based on a congestion mode of the intersection and a current timing scheme; specifically, all congestion flow directions and corresponding alarm levels of the intersection L in the signal period are obtained, one or a plurality of flow directions with the maximum alarm level are screened out, then the phase where the maximum alarm level flow direction is located is reversely deduced according to the flow direction combination information of the phase, and the maximum alarm level is taken as the congestion level of the phase;
if only one congestion phase is positioned according to the congestion flow direction, entering the step (1-5-3); if a plurality of congestion phases are located, entering the step (1-5-4);
(1-5-3) for the single congestion phase situation, keeping the phase scheme of the intersection L and the phase time of the non-congestion phase unchanged, and relieving congestion only by adjusting the congestion phase time, wherein the calculation is as follows:
t′p＝tp+min{round(5％Δ×tp)，15s}
wherein, t'p、tpRespectively adjusting the phase time after the congestion phase is adjusted and the phase time before the phase is adjusted, wherein delta is the congestion level of the phase, and meanwhile, the phase time after the phase is adjusted is not more than the maximum green time of the phase, and entering the step (1-5-5);
(1-5-4) for the multi-congestion phase situation, keeping the phase scheme of the intersection L and the phase time of the non-congestion phase unchanged, and only adjusting each congestion phase time to relieve congestion, wherein the calculation is as follows:
t′p，j＝tp，j+min{round(5％·Δj·tp，j)，10s}
wherein, t'p，j、tp，jRespectively after and before adjustment of the congestion phase j, deltajIf the congestion level of the phase j is satisfied, and the adjusted phase time is not more than the maximum green time of the respective phase, entering the step (1-5-5);
(1-5-5) issuing the adjusted signal timing scheme to an intersection L for execution, wherein the locking operation time length is 5 signal periods; the congestion warning signal is no longer triggered during the lockout period, considering that there is a congestion elimination process at the intersection L.
Preferably, if the mode is a frequent traffic congestion mode, the scheme output in (1-5) is set as a normal timing scheme, and the operation time period of the normal scheme is matched with the occurrence time period of the frequent traffic congestion mode; and (4) if the congestion mode is very high, setting the scheme output by the step (1-5) as a temporary timing scheme, and unlocking the original signal timing scheme obtained by the operation recovery step (1-5-1) after the scheme is locked and operated for 5 periods.
The normal timing scheme refers to that the timing scheme obtained by alarm handling replaces the original signal timing scheme corresponding to the time interval in which the frequent congestion occurs, and then the normal timing scheme is normally operated.
The temporary timing scheme refers to that the timing scheme obtained by alarm disposal is only temporarily operated within a period of time after the current alarm occurs.
Therefore, the invention has the following beneficial effects: by combining the traffic jam alarm intensity and the jam alarm duration, reasonable grade division is realized for the jam alarm of the intersection through the fuzzy controller, and the jam grade is used for adjusting a single-point signal timing scheme, so that the optimized amplitude of the signal timing of the intersection is matched with the jam alarm grade;
based on the congestion flow direction distribution of each intersection and the corresponding traffic flow direction grade, the intersection traffic congestion mode is defined from the space dimension, meanwhile, various congestion scenes are scientifically classified from the time dimension based on the occurrence time period regularity and the occurrence frequency, and the accurate positioning of the intersection traffic congestion problem is realized.
A feedback mechanism of single-point signal timing optimization driven by congestion alarm is established, a signal timing scheme is adjusted in a targeted manner according to refined flow direction level congestion alarm information, the scheme is continuously tracked after being issued and operated, and the steps are repeated, so that iterative optimization of a single-point normal timing scheme is realized.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a fuzzy set definition diagram of the congestion warning signal of the present invention;
fig. 3 is a schematic structural diagram of the intersection L of the present invention.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
The embodiment shown in fig. 1 is a congestion alarm driving single-point signal timing optimization method, which includes the following steps:
(1-1) with the signal period as the sampling frequency, the saturation of each flow direction of any intersection L, the average speed of each entrance section entering the intersection L from each intersection adjacent to the intersection L and the corresponding highest speed limit V are obtained as shown in FIG. 3cCalculating the traffic state intensity of each flow direction of the intersection L, wherein the flow direction refers to the direction of traffic at each entrance of the intersection; when the intensity index of the traffic state is small in value, the traffic running condition is good, otherwise, when the intensity index is large in value, the traffic state is congested.
Calculating the traffic state intensity P of the L flow direction m of the intersection at the current moment i by using the following formulam，i：
Wherein x ism，iSaturation of flow direction m, v, for intersection L at current time ii N＝(1-vi/Vc) Traffic intensity, v, for an entrance section characterized by normalized speediThe average speed of the road section of the inlet L at the current moment i; vcThe highest speed limit of the road section of the intersection L flowing to the m at the current moment i is obtained;
Pthare parameters.
The initial assignment of the traffic state intensity threshold value for flow direction m is 0.6; updating the traffic state intensity threshold value according to a one-week time interval, and recalculating the traffic state intensity threshold value at each Monday zero-point moment;
the calculation method of the traffic state intensity threshold value comprises the following steps:
wherein the content of the first and second substances,
the average value calculated for the traffic state intensity during the effective peak period of the current direction m of the last week refers to the early peak and late peak periods of the normal working day. The default is 7:00-9:00 in the early peak period and 17:00-19:00 in the late peak period.
Comparing the traffic state intensity of any flow direction m of the intersection L with the corresponding traffic state intensity threshold value; when the flow direction traffic state intensity of the flow direction m is larger than the traffic state intensity threshold value in 3 sampling periods continuously, triggering a congestion alarm signal of the intersection L, which flows to the flow direction m;
(1-2) after the traffic flow m of the intersection L triggers a congestion alarm signal, the traffic state intensity P of the intersection L flowing to m at the current moment im，iThe congestion alarm intensity of the intersection L flowing to the intersection m is called, and the congestion alarm duration of the intersection L flowing to the intersection m is calculated;
the congestion warning duration is calculated by the following steps:
let tm，nWhen the traffic state intensity of the intersection L in the flow direction m is continuously greater than the traffic state intensity threshold value for n times, and n is greater than or equal to 3, triggering a congestion alarm signal of the intersection L in the flow direction m, wherein the congestion alarm duration is tm，n-tm，1。
(1-3) inputting the congestion alarm intensity when the intersection L flows to m and the congestion alarm duration when the intersection L flows to m into a fuzzy controller, and outputting the congestion alarm level when the intersection L flows to m;
the input of the fuzzy controller comprises congestion alarm intensity and congestion alarm duration, and the output is a congestion alarm grade;
as shown in figure 2 of the drawings, in which,
the discourse domain of the congestion alarm signal strength is as follows: the language values are small VS1, small S1, small LS1, large LB1, large B1 and large VB1, and a trapezoidal membership function is adopted;
the discourse domain of the duration of the congestion warning signal is as follows: the language values are short VS2, short S2, long L2 and long VL2, and a trapezoidal membership function is adopted;
the discourse domain of the congestion alarm level is as follows: the language values are low L, medium M and high H, qualitative grading is given, and membership degree division is not needed;
the fuzzy rules of the fuzzy controller are as follows: the congestion alarm level and the congestion alarm intensity form a positive correlation, and the congestion alarm level and the congestion alarm duration form a positive correlation.
TABLE 1 fuzzy rules
The congestion alarm grades output by the fuzzy controller are sequentially corresponding to a first-level congestion alarm grade, a second-level congestion alarm grade and a third-level congestion alarm grade according to low, medium and high.
(1-4) defining a traffic jam mode of the intersection L according to the flow direction distribution of the jam alarm of the intersection L and the corresponding jam level; the intersection traffic jam mode refers to intersection specific jam scenes obtained by integrating the flow direction distribution of the intersection jam and the jam level corresponding to the flow direction. The same traffic jam mode refers to that the jam flow direction distribution of the intersection is realized, and the corresponding flow direction jam grades are the same. For a standard right-cross intersection, under the condition that the right turn direction is not considered, 8 traffic flow directions including east left, east straight, south left, south straight, west left, west straight, north left and north straight exist in total, and for each flow direction, four conditions of no congestion, primary congestion, secondary congestion and tertiary congestion exist, so that the current traffic congestion mode of the intersection is obtained by combining the flow direction of the intersection and congestion level information of the corresponding flow direction, and the current traffic congestion mode is named in a mode of a set of the flow direction with congestion and the congestion level;
after the traffic jam mode of the intersection L is obtained, judging whether the current traffic mode is a frequent jam mode;
the frequent congestion mode refers to a traffic congestion mode which simultaneously meets two conditions of occurrence time interval regularity and occurrence frequency; the regularity condition of the occurrence time interval is that half an hour is taken as a time interval, the occurrence time interval is considered to have regularity as long as more than 6 times of traffic jam occurs in the time interval, and the time interval is marked as the occurrence time interval of the corresponding traffic jam mode; the occurrence frequency condition is that the ratio of the regular traffic jam occurrence days in the last month is more than 1/2.
(1-5) entering an automatic handling process of congestion alarm according to a traffic congestion mode of the intersection L;
(1-5-1) acquiring a timing scheme of the current moment of the intersection L, wherein the timing scheme comprises a signal period, each phase, phase time of each phase and the maximum green time of each phase;
(1-5-2) identifying a congestion phase based on a congestion mode of the intersection and a current timing scheme; specifically, all congestion flow directions and corresponding alarm levels of the intersection L in the signal period are obtained, one or a plurality of flow directions with the maximum alarm level are screened out, then the phase where the maximum alarm level flow direction is located is reversely deduced according to the flow direction combination information of the phase, and the maximum alarm level is taken as the congestion level of the phase;
if only one congestion phase is positioned according to the congestion flow direction, entering the step (1-5-3); if a plurality of congestion phases are located, entering the step (1-5-4);
(1-5-3) for the single congestion phase situation, keeping the phase scheme of the intersection L and the phase time of the non-congestion phase unchanged, and relieving congestion only by adjusting the congestion phase time, wherein the calculation is as follows:
t′p＝tp+min{round(5％Δ×tp)，15s}
wherein, t'p、tpRespectively adjusting the phase time after the congestion phase is adjusted and the phase time before the phase is adjusted, wherein delta is the congestion level of the phase, and meanwhile, the phase time after the phase is adjusted is not more than the maximum green time of the phase, and entering the step (1-5-5);
(1-5-4) for the multi-congestion phase situation, keeping the phase scheme of the intersection L and the phase time of the non-congestion phase unchanged, and only adjusting each congestion phase time to relieve congestion, wherein the calculation is as follows:
t′p，j＝tp，j+min{round(5％·Δj·tp，j)，10s}
wherein, t'p，j、tp，jAre respectively provided withThe phase time, Delta, after and before the adjustment of the phase jjIf the congestion level of the phase j is satisfied, and the adjusted phase time is not more than the maximum green time of the respective phase, entering the step (1-5-5);
(1-5-5) issuing the adjusted signal timing scheme to an intersection L for execution, wherein the locking operation time length is 5 signal periods; the congestion warning signal is no longer triggered during the lockout period, considering that there is a congestion elimination process at the intersection L.
(1-6) determining the operation mode of the alarm handling scheme according to whether the traffic jam mode of the intersection L is the frequent jam mode.
If the mode is a frequent traffic jam mode, setting the scheme output in the step (1-5) as a normal timing scheme, and matching the operation time period of the normal scheme with the occurrence time period of the frequent traffic jam mode; and (4) if the congestion mode is very high, setting the scheme output by the step (1-5) as a temporary timing scheme, and unlocking the original signal timing scheme obtained by the operation recovery step (1-5-1) after the scheme is locked and operated for 5 periods.
It should be understood that this example is for illustrative purposes only and is not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
Claims (7)
1. A single-point signal timing optimization method driven by congestion alarm is characterized by comprising the following steps:
(1-1) acquiring the saturation of each flow direction of any intersection L, the average speed of each inlet road section entering the intersection L from each intersection adjacent to the intersection L and the corresponding highest speed limit by taking a signal period as a sampling frequency, calculating to obtain the traffic state intensity of each flow direction of the intersection L, and comparing the traffic state intensity of any flow direction m of the intersection L with the corresponding traffic state intensity threshold value; when the flow direction traffic state intensity of the flow direction m is larger than the traffic state intensity threshold value in 3 sampling periods continuously, triggering a congestion alarm signal of the intersection L, which flows to the flow direction m;
(1-2) after the traffic flow m of the intersection L triggers a congestion alarm signal, the traffic state intensity P of the intersection L flowing to m at the current moment im,iThe congestion alarm intensity of the intersection L flowing to the intersection m is called, and the congestion alarm duration of the intersection L flowing to the intersection m is calculated;
(1-3) inputting the congestion alarm intensity when the intersection L flows to m and the congestion alarm duration when the intersection L flows to m into a fuzzy controller, and outputting the congestion alarm level when the intersection L flows to m;
(1-4) defining a traffic jam mode of the intersection L according to the flow direction distribution of the jam alarm of the intersection L and the corresponding jam level; after the traffic jam mode of the intersection L is obtained, judging whether the current traffic mode is a frequent jam mode;
(1-5) entering an automatic handling process of congestion alarm according to a traffic congestion mode of the intersection L;
(1-6) determining an operation mode of an alarm handling scheme according to whether the traffic jam mode of the intersection L is a frequent jam mode;
the step (1-5) comprises the following steps:
(1-5-1) acquiring a timing scheme of the current moment of the intersection L, wherein the timing scheme comprises a signal period, each phase, phase time of each phase and the maximum green time of each phase;
(1-5-2) identifying a congestion phase based on a congestion mode of the intersection and a current timing scheme; specifically, all congestion flow directions and corresponding alarm levels of the intersection L in the signal period are obtained, one or a plurality of flow directions with the maximum alarm level are screened out, then the phase where the maximum alarm level flow direction is located is reversely deduced according to the flow direction combination information of the phase, and the maximum alarm level is taken as the congestion level of the phase;
if only one congestion phase is positioned according to the congestion flow direction, entering the step (1-5-3); if a plurality of congestion phases are located, entering the step (1-5-4);
(1-5-3) for the single congestion phase situation, keeping the phase scheme of the intersection L and the phase time of the non-congestion phase unchanged, and relieving congestion only by adjusting the congestion phase time, wherein the calculation is as follows:
t'p＝tp+min{round(5％×Δ×tp),15s}
wherein, t'p、tpRespectively adjusting the phase time after the congestion phase is adjusted and the phase time before the phase is adjusted, wherein delta is the congestion level of the phase, and meanwhile, the phase time after the phase is adjusted is not more than the maximum green time of the phase, and entering the step (1-5-5);
(1-5-4) for the multi-congestion phase situation, keeping the phase scheme of the intersection L and the phase time of the non-congestion phase unchanged, and only adjusting each congestion phase time to relieve congestion, wherein the calculation is as follows:
t'p,j＝tp,j+min{round(5％·Δj·tp,j),10s}
wherein, t'p,j、tp,jRespectively after and before adjustment of the congestion phase j, and deltajIf the congestion level of the phase j is satisfied, and the adjusted phase time is not more than the maximum green time of the respective phase, entering the step (1-5-5);
(1-5-5) issuing the adjusted signal timing scheme to an intersection L for execution, wherein the locking operation time length is 5 signal periods; the congestion warning signal is no longer triggered during the lockout period, considering that there is a congestion elimination process at the intersection L.
2. The congestion alert driven single point signal timing optimization method as claimed in claim 1, wherein the traffic state intensity P of the L flow direction m at the i crossing at the current time is calculated by using the following formulam,i：
Wherein x ism,iThe saturation of the flow direction m at the intersection L at the current time i,
traffic intensity, v, for an entrance section characterized by normalized speediThe average speed of the road section of the inlet L at the current moment i; vcThe highest speed limit of the road section of the intersection L flowing to the m at the current moment i is obtained;
Pthare parameters.
3. The congestion alert driven single point signal timing optimization method of claim 1, wherein the initial value of the traffic state intensity threshold for flow direction m is 0.6; updating the traffic state intensity threshold value according to a one-week time interval, and recalculating the traffic state intensity threshold value at each Monday zero-point moment;
the calculation method of the traffic state intensity threshold value comprises the following steps:
wherein the content of the first and second substances,
the average value calculated for the traffic state intensity during the effective peak period of the current direction m of the last week refers to the early peak and late peak periods of the normal working day.
4. The congestion alert driven single point signal timing optimization method as claimed in claim 1, wherein the congestion alert duration is calculated using the steps of:
let tm,nWhen the traffic state intensity of the intersection L in the flow direction m is continuously greater than the traffic state intensity threshold value for n times, and n is greater than or equal to 3, triggering a congestion alarm signal of the intersection L in the flow direction m, wherein the congestion alarm duration is tm,n-tm,1。
5. The congestion alert driven single point signal timing optimization method of claim 1, wherein the fuzzy controller includes a congestion alert intensity, a congestion alert duration, and a congestion alert level;
the discourse domain of the congestion alarm signal strength is as follows: the language values are small VS1, small S1, small LS1, large LB1, large B1 and large VB1, and a trapezoidal membership function is adopted;
the discourse domain of the duration of the congestion warning signal is as follows: the language values are short VS2, short S2, long L2 and long VL2, and a trapezoidal membership function is adopted;
the discourse domain of the congestion alarm level is as follows: the language values are low L, medium M and high H, qualitative grading is given, and membership degree division is not needed; and the congestion alarm grades are sequentially corresponding to a first grade, a second grade and a third grade according to the low, the medium and the high;
the fuzzy rules of the fuzzy controller are as follows: the congestion alarm level and the congestion alarm intensity form a positive correlation, and the congestion alarm level and the congestion alarm duration form a positive correlation.
6. The single-point signal timing optimization method driven by the congestion alarm as claimed in claim 1, wherein the frequent congestion mode is a traffic congestion mode which satisfies two conditions of occurrence time interval regularity and occurrence frequency; the regularity condition of the occurrence time interval is that half an hour is taken as a time interval, the occurrence time interval is considered to have regularity as long as more than 6 times of traffic jam occurs in the time interval, and the time interval is marked as the occurrence time interval of the corresponding traffic jam mode; the occurrence frequency condition is that the ratio of the regular traffic jam occurrence days in the last month is more than 1/2.
7. The congestion alarm driving single-point signal timing optimization method according to claim 1, wherein if the congestion mode is a frequent congestion mode, the scheme output in the step (1-5) is set as a normal timing scheme, and the operation time period of the normal scheme is matched with the occurrence time period of the frequent traffic congestion mode; and (4) if the congestion mode is very high, setting the scheme output by the step (1-5) as a temporary timing scheme, and unlocking the original signal timing scheme obtained by the operation recovery step (1-5-1) after the scheme is locked and operated for 5 periods.
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