CN111429721A - Intersection traffic signal scheme optimization method based on queuing dissipation time - Google Patents

Intersection traffic signal scheme optimization method based on queuing dissipation time Download PDF

Info

Publication number
CN111429721A
CN111429721A CN202010234831.0A CN202010234831A CN111429721A CN 111429721 A CN111429721 A CN 111429721A CN 202010234831 A CN202010234831 A CN 202010234831A CN 111429721 A CN111429721 A CN 111429721A
Authority
CN
China
Prior art keywords
time
green
scheme
traffic signal
green light
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010234831.0A
Other languages
Chinese (zh)
Other versions
CN111429721B (en
Inventor
饶欢
李璐
周东
陈凝
吕伟韬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Zhitong Traffic Technology Co ltd
Original Assignee
Jiangsu Zhitong Traffic Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangsu Zhitong Traffic Technology Co ltd filed Critical Jiangsu Zhitong Traffic Technology Co ltd
Priority to CN202010234831.0A priority Critical patent/CN111429721B/en
Priority to PCT/CN2020/095094 priority patent/WO2021189668A1/en
Publication of CN111429721A publication Critical patent/CN111429721A/en
Application granted granted Critical
Publication of CN111429721B publication Critical patent/CN111429721B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • 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
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention provides a method for optimizing a crossing traffic signal scheme based on queuing dissipation time, which is characterized in that the actual green-time requirement of each inlet road flow direction is adjusted and determined by taking the queuing dissipation time as an increase and decrease amount based on the green-time requirement of each inlet road flow direction, the green light idle time and the queuing dissipation time; calculating the green light duration of the phase stage under each group of phase sequence schemes aiming at the phase sequence scheme to be selected, and determining an optimal scheme based on the cycle duration; compared with the traditional green-time demand solving scheme, the method can effectively adjust the green-time demand, ensure that the traffic can be satisfied when the flow direction of the inlet road is green, avoid the long-time green-time idle discharge condition, and optimize the green-time demand value; and the optimal phase sequence and the optimal timing scheme are selected by considering the comparison of the phase sequence schemes to be selected, so that the flexibility of the traffic signal scheme configuration is greatly improved, and the optimal signal control scheme can be selected for different control stages.

Description

Intersection traffic signal scheme optimization method based on queuing dissipation time
Technical Field
The invention relates to a crossing traffic signal scheme optimization method based on queuing dissipation time.
Background
The traditional traffic signal control scheme is optimally configured by a signal control team or a professional traffic police on the basis of a scheduling plan and control period configuration according to traffic flow information and actual traffic conditions. With increasing demands for intelligent urban traffic management, the development of artificial intelligence technology and the popularization of front-end detection equipment such as electric police, bayonets, car detectors and the like provide effective support for intelligent optimization configuration of intersection traffic signal schemes, and certain research has been made on intelligent optimization of intersection traffic signal schemes.
The chinese patent application CN201811048116.7 proposes a multi-target traffic signal scheme optimization configuration method based on intersection flow direction requirements, which performs integer programming by using each flow direction requirement of a traffic intersection as an index; the Chinese patent application CN201810439951.7 proposes intersection traffic signal scheme optimization based on a multi-objective genetic algorithm by taking intersection speed as a parameter; the chinese patent application CN201910920298.0 proposes a single intersection signal control method based on vehicle queuing dissipation time, which is optimized by evaluating and analyzing the dissipation time of intersection solutions in saturated and unsaturated states.
In summary, the green time requirements in the optimal configuration of the current-stage traffic signal scheme are mainly divided into two categories, one category is determined by traffic flow analysis, the other category is analyzed by crossing vehicle speed, the purpose of meeting the traffic flow is achieved, and the condition of long-time idle discharge of green lights cannot be considered; on the other hand, the existing phase intersection traffic signal scheme optimization fails to consider the existence of a phase sequence scheme and a lap phase situation, and most of the existing phase intersection traffic signal scheme optimization considers signal optimization by a traditional four-phase.
The above-mentioned problems should be considered and solved in the design process of the intersection traffic signal scheme optimization method based on the queuing dispersion time.
Disclosure of Invention
The invention aims to provide a crossing traffic signal scheme optimization method based on queuing dissipation time, which is based on traffic flow and takes the crossing queuing dissipation time as an increment and decrement to adjust the time length requirement of each inlet channel for flowing to a green light, so that the optimal solution of the time length requirement of the green light is ensured, and the problems that the green light time length free space condition cannot be considered and the flexibility is insufficient in the prior art are solved.
The technical solution of the invention is as follows:
a crossing traffic signal scheme optimization method based on queuing dissipation time is characterized in that the actual green-time requirement of each inlet road flow direction is adjusted and determined by taking the queuing dissipation time as an increase and decrease amount based on the green-time requirement of each inlet road flow direction, the green light idle time and the queuing dissipation time; the method comprises the following steps of calculating the green light duration of the phase stage under each group of phase sequence schemes aiming at the phase sequence schemes to be selected, and determining the optimal scheme based on the cycle duration, wherein the method specifically comprises the following steps:
s1, acquiring intersection canalization information, a traffic signal control scheme and real-time traffic flow information;
s2, corresponding the intersection traffic signal control scheme obtained in the step S1 to the traffic flow information of the unit time period, analyzing the traffic state and the traffic demand in the unit time period, and solving the green time demand, the green light idle time and the queue dissipation time of the flow direction of each entrance way;
s3, optimally adjusting the green light time length requirement of each inlet road flow direction in the traffic signal scheme under the unit time period, and determining the adjusted actual green time requirement;
s4, analyzing each phase sequence scheme based on the phase sequence information of the traffic signal control scheme in the step S1 and the adjusted actual green time requirement obtained in the step S3, and determining specific signal schemes under different phase sequence schemes, namely the green light duration of each phase stage;
and S5, summarizing the traffic signal schemes under the phase sequence schemes obtained in the step S4, selecting the scheme with the minimum period as the optimal scheme in the unit time period, and simultaneously carrying out period optimization adjustment on the optimal scheme in the unit time period to obtain the final optimal scheme.
Further, in step S1, the traffic signal control scheme includes basic phase information, phase sequence information, a control period, and a phase scheme; the traffic flow information comprises the traffic flow in the direction of an entrance road in each unit time period, the queuing length of vehicles in the unit time period and the saturated headway of the intersection.
Further, in step S2, the green time requirement, the green light idle time and the queue dissipation time of each inlet lane flow direction are solved, specifically,
s21, based on the traffic flow information obtained in step S1, the green time demand of each entrance way flow direction in the unit time period
Figure BDA0002429114070000021
Solving, namely:
Figure BDA0002429114070000022
Figure BDA0002429114070000023
in the formula (I), the compound is shown in the specification,
Figure BDA0002429114070000024
represents the green-time demand of the I inlet channel j flow direction; lambda [ alpha ]ijRepresenting the traffic split of the flow direction of the i entrance road j under n unit time periods; c represents the period duration of the traffic signal scheme; qijRepresenting the traffic flow in the direction of the I entrance lane j; ht represents the saturated headway;
s22, comparing the green time demand solved in the step S21 with the traffic signal control scheme in the same unit time period, and determining the green light idle time length of each inlet road flowing direction in each unit time period, namely:
Figure BDA0002429114070000031
in the formula, TijIndicating the idle discharge time of the green light in the flow direction of the inlet passage j;
Figure BDA0002429114070000032
representing the green-time demand of the flow direction of the i inlet channel j under n unit time periods; gijIndicating i-entry lane in traffic signal control schemeThe duration of the green light in the j flow direction; and S23, determining the vehicle queue dissipation time of each entrance way flow direction based on the corresponding unit time short-cut signal control scheme and the traffic flow information.
Further, in step S23, the vehicle queue dissipation time of each inlet lane flow direction is determined:
tij＝lij*ht
wherein, tijShowing the vehicle queue dissipation time, l, in the direction of i entry lane jijIndicating the number of queued vehicles in the j direction of the i-entry lane and ht indicating the saturated headway.
Further, in step S3, the green-time requirement of each inlet lane in the traffic signal plan in the unit time slot is optimally adjusted, and the adjusted actual green-time requirement is determined, specifically,
s31, if there is green light empty, i.e. the green light empty time length TijIf the green time requirement is more than 0, adjusting the green time requirement according to the queuing dissipation time, and determining the actual green time requirement; otherwise go to step S32;
s32, if the green light idle time is less than or equal to zero, the green light idle time is trimmed according to the queuing dissipation time and the green light time in the traffic signal scheme stage, and therefore the actual green time requirement is adjusted and determined;
s33, determining the adjusted actual green-time demand G based on the steps S31 and S32ijReading the minimum green light time length g of the flow direction of the i inlet road j set in the basic phase information of the traffic signal control schemeijComparing and determining the adjusted actual green time requirement Gij: if G isij＜gijThen the minimum green time duration is taken as the actual green time requirement determined after adjustment, i.e. Gij＝gijOtherwise, the actual green time requirement obtained by the calculation of the steps is continuously used.
Further, in step S31, the green-time requirement is adjusted according to the queuing dissipation time to obtain the actual green-time requirement, specifically,
s311, if TijIf > 0, go to the next step S312; otherwise go to step S32;
s312, if tij≥gijThen make Gij＝gijAnd go to step S33; otherwise go to the next step S313;
s313, if
Figure BDA0002429114070000033
Then G isij＝gij-Tijα, and go to step S33, otherwise go to next step S314;
s314, if
Figure BDA0002429114070000041
Then G isij＝gij-Tijβ and going to step S33, or going to step S33 after finishing the process;
wherein G isijRepresenting the actual green time requirement of the i inlet road j direction after adjustment, α and β are coefficients respectively and are set to [0,1] according to the intersection traffic channelized characteristic and the intersection traffic signal scheme]And α < β.
Further, in step S32, the adjustment determines the actual green-time requirement, specifically,
s321, if tij＞gijThe blank discharge time of the green lamp is corrected, i.e.
Figure BDA0002429114070000042
Go to next step S322, otherwise, the green time requirement is not adjusted, go to step S33;
s322, if
Figure BDA0002429114070000043
Then make
Figure BDA0002429114070000044
And goes to step S33; otherwise, go to the next step S323;
s323, if
Figure BDA0002429114070000045
Then make
Figure BDA0002429114070000046
And go to the stepS33; otherwise go to the next step S324;
s324, if
Figure BDA0002429114070000047
Then make
Figure BDA0002429114070000048
And goes to step S33; otherwise, go to step S33;
wherein α, β are coefficients and take values between [0,1] according to intersection traffic canalization characteristics and an intersection traffic signal scheme, and α < β <.
Further, in step S4, the green duration of each phase stage is determined, specifically,
s41, determining whether the phase sequence to be selected has a lapping phase, if so, turning to the next step, otherwise, turning to the step S43;
s42, if the adjusted actual green time demand GijIf the implementation requirement of the lap joint phase is met, a scheme space-free minimum convex programming model is constructed, and the optimal green light duration of each stage in the control time period is solved
Figure BDA0002429114070000049
Otherwise, eliminating the lapping phase and turning to the next step;
s43 green light duration G in flow direction of each stage based on phase sequenceijMaximum value assignment phase green duration, i.e.:
Figure BDA00024291140700000410
in the formula (I), the compound is shown in the specification,
Figure BDA00024291140700000411
representing the green light time length in the m phase stage under the nth phase sequence scheme; gijIndicating the actual green-time demand of the adjusted i inlet channel j flow direction;
s44, summarizing the green light time length of each stage obtained in the step S41
Figure BDA0002429114070000051
Determining the total period duration, namely:
Figure BDA0002429114070000052
in the formula (I), the compound is shown in the specification,
Figure BDA0002429114070000053
indicating the correction period duration for the nth set of phase sequence schemes,
Figure BDA0002429114070000054
indicating the duration of green light in the m phase stage under the nth phase sequence scheme.
Further, in step S42, the optimal solution in the unit time period is subjected to cycle optimization adjustment, specifically, if the cycle duration of the optimal solution in the unit time period is obtained
Figure BDA0002429114070000055
If the maximum period maxC of the intersection traffic signal scheme is larger than the maximum period maxC of the intersection traffic signal scheme, the green light time length of each stage is determined
Figure BDA0002429114070000056
Scaling is performed, i.e.:
Figure BDA0002429114070000057
the invention has the beneficial effects that:
the method for optimizing the intersection traffic signal scheme based on the queuing dissipation time is characterized in that the demand of each inlet channel when the flow direction is green is adjusted by taking the queuing dissipation time of the intersection as the increment and decrement on the basis of the traffic flow, the demand of each inlet channel when the flow direction is green is ensured to be the actual demand, the phase stage duration in each group of phase sequence schemes is further solved according to the phase sequence to be selected, and therefore the optimal scheme is selected and has flexibility.
The method for optimizing the intersection traffic signal scheme based on the queuing dissipation time solves the green-time requirement of each inlet road in the flow direction of the traffic flow, effectively adjusts the green-time requirement by taking the green-time space-time release duration of the flow direction as a judgment index and taking the intersection queuing dissipation time as an increment and decrement, ensures that the green-time requirement is optimized while vehicles can pass when the inlet road flows to green and the long-time green-time space-time release condition does not exist. The method solves the problem that in the current stage, the mode of the green-time requirement is analyzed according to the traffic flow or the queuing length, and whether the temporary vacancy is reserved or not is only considered to meet the traffic passing requirement.
The intersection traffic signal scheme optimization method based on the queuing dissipation time solves the green light duration of the phase stage under each group of phase sequence schemes based on the originally configured traffic signal scheme phase sequence, selects the optimal phase sequence and the optimal timing scheme from the green light duration, greatly improves the flexibility of the traffic signal scheme configuration, can select the optimal phase sequence for different control stages, and solves the problem of insufficient configuration flexibility in the current situation of synchronous optimization of the phase sequence in the current phase traffic signal scheme.
Drawings
FIG. 1 is a flow chart of a method for optimizing an intersection traffic signal plan based on queuing dispersion time according to an embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating an embodiment of optimizing and adjusting the green time duration requirement of each inlet lane flow direction in the traffic signal scheme per time period.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Examples
A crossing traffic signal scheme optimization method based on queuing dissipation time is characterized in that the actual green-time requirement of each inlet road flow direction is adjusted and determined by taking the queuing dissipation time as an increase and decrease amount based on the green-time requirement of each inlet road flow direction, the green light idle time and the queuing dissipation time; calculating the green light duration of the phase stage under each group of phase sequence schemes aiming at the phase sequence scheme to be selected, and determining an optimal scheme based on the cycle duration; as shown in fig. 1, specifically includes the following steps,
s1, obtaining intersection canalization information, a traffic signal control scheme and real-time traffic flow information.
The traffic signal control scheme includes basic phase information (the basic phase indicates a phase where the intersection can be passed, including a minimum green time, a maximum green time, and a maximum cycle time that the intersection can receive), phase sequence information (a phase sequence scheme that the intersection can be performed, which can be configured and determined by a user), a control period (a signal scheme scheduling plan and division of different control periods), and a phase scheme (a traffic signal scheme in each control period, which includes a phase passing direction, a green time in each phase, a cycle time, and the like).
The traffic flow information comprises the traffic flow in the direction of an entrance road in each unit time period, the queuing length of vehicles in the unit time period and the saturated headway of the intersection.
The unit time period is selected according to the requirement of a user on intersection optimization timing, generally selected for 15min, and the saturated headway is obtained based on the historical saturated headway solved by electronic police/intelligent gate equipment or set by a signal control expert based on intersection traffic canalization and traffic states.
S2, corresponding the intersection traffic signal control scheme obtained in the step S1 to the traffic flow information of the unit time period, analyzing the traffic state and the traffic demand in the unit time period, and solving the green time demand, the green light idle time and the queue dissipation time of the flow direction of each entrance way.
S21, based on the traffic flow information acquired in the step S1, determining the green-time demand of each entrance way flow direction in the unit time period
Figure BDA0002429114070000061
Solving, namely:
Figure BDA0002429114070000062
Figure BDA0002429114070000063
in the formula (I), the compound is shown in the specification,
Figure BDA0002429114070000064
represents the green-time demand of the I inlet channel j flow direction; lambda [ alpha ]ijRepresents nThe traffic split of the flow direction of the i entrance lane j in a unit time period; c represents the period duration of the traffic signal scheme; qijRepresenting the traffic flow in the direction of the I entrance lane j; ht represents the saturated headway; i represents an inlet passage, and taking an intersection as an example, the inlet passage comprises four inlet passages, namely an east inlet passage, a south inlet passage, a west inlet passage and a north inlet passage; j represents the flow direction, including left turn, straight going, right turn;
s22, comparing the green time demand solved in the step S21 with the traffic signal control scheme in the same unit time period, and determining that the green light idle time of each inlet road flowing direction in each unit time period is long, namely:
Figure BDA0002429114070000071
in the formula, TijIndicating the idle discharge time of the green light in the flow direction of the inlet passage j;
Figure BDA0002429114070000072
representing the green-time demand of the flow direction of the i inlet channel j under n unit time periods; gijIndicating the green light duration of the flow direction of the i entrance lane j in the current phase traffic signal control scheme.
S23, determining vehicle queuing dissipation time of each inlet road flow direction based on the corresponding signal control scheme with short unit time and traffic flow information, preferably determining by vehicle queuing length and saturated headway, namely:
tij＝lij*ht
in the formula, tijRepresenting the vehicle queue dissipation time in the direction of the entrance lane j; lijRepresenting the number of queued vehicles in the direction of the i-entrance lane j; ht represents the saturated headway.
And S3, optimizing and adjusting the green time requirement of the flow direction of each inlet channel in the traffic signal scheme in unit time period, and determining the actual green time requirement of the flow direction of each inlet channel, as shown in figure 2.
S31, if the green light is in idle discharge, namely the idle discharge time T of the green lightijIf the time length is more than 0, the green light time length requirement is adjusted according to the queuing dissipation time; otherwise go to step S32;
in step S31, the green light duration requirement is adjusted according to the queuing dissipation time, specifically,
s311, if TijIf > 0, go to the next step S312; otherwise go to step S32;
s312. if tij≥gijThen make Gij＝gijAnd go to step S33; otherwise go to the next step S313;
s313. if
Figure BDA0002429114070000073
Then G isij＝gij-Tijα, and go to step S33, otherwise go to next step S314;
s314. if
Figure BDA0002429114070000074
Then G isij＝gij-Tijβ and going to step S33, or going to step S33 after finishing the process;
wherein G isijIndicating the requirement of the duration of the green light in the j direction of the i inlet lane after adjustment, coefficients α and β are [0,1] according to the intersection traffic channelized characteristic and the intersection traffic signal scheme]And α < β, generally α is preferably 0.2, β is preferably 0.5.
S32, if the idle discharge time of the green light is less than or equal to zero, the idle discharge time of the green light is modified according to the queuing dissipation time and the green light time of the traffic signal scheme stage, so that the actual green time requirement is adjusted and determined, specifically,
s321. if tij＞gijThen the blank discharge time of the green lamp is corrected, i.e.
Figure BDA0002429114070000081
Proceeding to the next step S322, otherwise, the green light time length requirement is not adjusted, and proceeding to step S33;
s322. if
Figure BDA0002429114070000082
Then make
Figure BDA0002429114070000083
And goes to step S33; otherwise, go to the next step S323;
s323, if
Figure BDA0002429114070000084
Then make
Figure BDA0002429114070000085
And goes to step S33; otherwise go to the next step S324;
s324. if
Figure BDA0002429114070000086
Then make
Figure BDA0002429114070000087
And goes to step S33; otherwise, go to step S33;
wherein α, β, coefficient take values between [0,1] according to intersection traffic canalization characteristics and intersection traffic signal schemes, α < β <. generally, α is preferably 0.2, β is preferably 0.3, preferably 0.5.
S33, determining the adjusted actual green-time demand G based on steps S31 and S32ijReading the minimum green light time length g of the flow direction of the i inlet road j set in the basic phase information of the traffic signal control schemeijComparing and determining the adjusted actual green time requirement Gij: if G isij＜gijThen the minimum green time duration is taken as the actual green time requirement determined after adjustment, i.e. Gij＝gijOtherwise, the actual green time requirement obtained by the calculation of the steps is continuously used.
And S4, respectively analyzing each phase sequence scheme based on the phase sequence information (to-be-selected phase sequence scheme) of the traffic signal control scheme in the step S1 and the green time requirement adjusted in the step S3, and determining specific signal schemes under different phase sequence schemes, namely the green light duration of each phase stage.
S41, judging whether the phase sequence to be selected has a lapping phase, if so, turning to the next step, otherwise, turning to the step S43;
s42, if the adjusted green time is required GijThe construction scheme is the most free when the implementation requirement of the lap joint phase is metA small convex programming model is used for solving the optimal green light duration of each stage in the control time period
Figure BDA0002429114070000088
Otherwise, eliminating the lapping phase and turning to the next step;
specifically, the method comprises the following steps:
Figure BDA0002429114070000091
in which stages 1 and 2 are lap phases, G12The flow direction involves two phase phases (phase 1 and phase 2);
Figure BDA0002429114070000092
indicating the duration of green light in the m phase stages under the nth set of phase sequence scheme, wherein
Figure BDA0002429114070000093
Respectively representing a first stage and a second stage of the nth set of phase sequence scheme; gijIndicating the green-time requirement of the adjusted i inlet channel j flow direction;
s43, green light duration G in flow direction of each stage based on phase sequenceijMaximum value assignment phase green duration, i.e.:
Figure BDA0002429114070000094
in the formula (I), the compound is shown in the specification,
Figure BDA0002429114070000095
representing the green light time length in the m phase stage under the nth phase sequence scheme; gijIndicating the actual green demand for the adjusted i inlet lane j flow direction.
S44, summarizing the green light duration of each stage obtained in the step S41
Figure BDA0002429114070000096
Determining the total period duration, namely:
Figure BDA0002429114070000097
in the formula (I), the compound is shown in the specification,
Figure BDA0002429114070000098
indicating the correction period duration for the nth set of phase sequence schemes,
Figure BDA0002429114070000099
indicating the duration of green light in the m phase stage under the nth phase sequence scheme.
And S5, summarizing the traffic signal schemes under the phase sequence schemes obtained in the step S4, selecting the scheme with the minimum period as the optimal scheme in the unit time period, and simultaneously carrying out period optimization adjustment on the optimal scheme in the unit time period to obtain the final optimal scheme.
Carrying out cycle optimization adjustment on the obtained optimal scheme in the unit time period, specifically, if the cycle duration of the optimal scheme in the unit time period is obtained
Figure BDA00024291140700000910
According to the green light duration of each stage
Figure BDA00024291140700000911
Scaling is performed, i.e.:
Figure BDA00024291140700000912
according to the intersection traffic signal scheme optimization method based on the queuing dissipation time, when the requirement of each inlet road on the green flow direction is solved for the traffic flow, the time length of the green time space of the flow direction is used as a judgment index, the intersection queuing dissipation time is used as an increase and decrease amount to effectively adjust the requirement of the green time, the condition that vehicles pass through and the long-time green time space is not available when the inlet road flows to the green is ensured, and the green time is optimal. The method solves the problem that whether the temporary vacancy is reserved or not only considering the condition of meeting the traffic passing requirement is solved by analyzing the mode of the green time requirement according to the traffic flow or the queuing length at the present stage.
According to the intersection traffic signal scheme optimization method based on the queuing dissipation time, based on the originally configured traffic signal scheme phase sequence, the green light time of the phase stage under each group of phase sequence schemes is solved, the optimal phase sequence and the optimal timing scheme are selected, the flexibility of the traffic signal scheme configuration is greatly improved, the optimal phase sequence can be selected for different control stages, and the problems that the phase sequence in the existing phase traffic signal scheme is synchronously optimized and the configuration flexibility is insufficient are solved.
According to the intersection traffic signal scheme optimization method based on the queuing dissipation time, the existence of the lap phase of the intersection signal scheme is considered, and for the phase sequence scheme with the lap phase, the optimal phase stage green light duration is solved by adopting a scheme space minimum convex programming model.
One specific example of an embodiment is illustrated below:
the crossroad comprises four inlet channels of south, east and west, wherein each inlet channel comprises three flow directions of left turn, straight going and right turn, and the early peak signal phase scheme is as follows, and the cycle time is 136 seconds.
Figure BDA0002429114070000101
Selecting a certain unit time period (15min) as a case, reading the data information of the traffic flow and the queuing length based on the step S1, and solving the green time requirement, the green light idle time and the queuing dissipation time based on the step S2, wherein the specific table is as follows:
Figure BDA0002429114070000102
Figure BDA0002429114070000111
the green demand for each entrance lane is adjusted according to step S3, as shown in the table below, where no data is available for right-turn vehicles and less traffic flow is not considered.
Inlet channel Direction of rotation Adjusting green time requirement(s)
North China Left side of 26
North China Straight bar 28.4
East Right side
East Left side of 27
East Straight bar 41
South China Right side
South China Straight bar 43
South China Left side of 40
Western medicine Right side
Western medicine Left side of 25.9
Western medicine Straight bar 43.3
Based on the phase sequence information of the traffic signal control scheme in the step S1, two groups of phase sequences to be selected are ① south-north straight-south-north-left-turn-east-west-left-turn, ② south-north straight-south-north-left-turn-east-west-left-turn, respectively, at the intersection.
And respectively optimizing the green light duration of the phase sequence according to the step S4, wherein the phase sequence ② has overlapping phases, and solving according to the scheme air-release minimum convex programming model, so that the green light durations of the two groups of phase sequence phase phases are as follows:
phase sequence ① cycle duration 154s
Figure BDA0002429114070000112
Phase sequence ② cycle duration 140s
Figure BDA0002429114070000113
Therefore, the signal scheme of phase sequence ② is chosen, and if it is greater than the maximum cycle duration of 136 seconds, then scaling is performed proportionally, and the final scheme is as follows:
straight-going north-south South straight/left turn Left turn from north to south East-west straight going East-west left turn
28 14 26 42 26
The method for optimizing the intersection traffic signal scheme based on the queuing dissipation time is based on traffic flow, the intersection queuing dissipation time is used as an increase and decrease amount, the time length requirement of the flow direction to the green light of each entrance lane is adjusted, the optimal solution of the time length requirement of the green light is ensured, the phase stage time length in each group of phase sequence schemes is further solved according to the phase sequence to be selected, and therefore the optimal scheme is selected and has flexibility.

Claims (9)

1. A crossing traffic signal scheme optimization method based on queuing dissipation time is characterized by comprising the following steps: adjusting and determining the actual green-time requirement of each inlet channel flow direction by taking the queue dissipation time as an increase and decrease amount based on the green-time requirement of each inlet channel flow direction, the green light idle time and the queue dissipation time; the method comprises the following steps of calculating the green light duration of the phase stage under each group of phase sequence schemes aiming at the phase sequence schemes to be selected, and determining the optimal scheme based on the cycle duration, wherein the method specifically comprises the following steps:
s1, acquiring intersection canalization information, a traffic signal control scheme and real-time traffic flow information;
s2, corresponding the intersection traffic signal control scheme obtained in the step S1 to the traffic flow information of the unit time period, analyzing the traffic state and the traffic demand in the unit time period, and solving the green time demand, the green light idle time and the queue dissipation time of the flow direction of each entrance way;
s3, optimally adjusting the green light time length requirement of each inlet road flow direction in the traffic signal scheme under the unit time period, and determining the adjusted actual green time requirement;
s4, analyzing each phase sequence scheme based on the phase sequence information of the traffic signal control scheme in the step S1 and the adjusted actual green time requirement obtained in the step S3, and determining specific signal schemes under different phase sequence schemes, namely the green light duration of each phase stage;
and S5, summarizing the traffic signal schemes under the phase sequence schemes obtained in the step S4, selecting the scheme with the minimum period as the optimal scheme in the unit time period, and simultaneously carrying out period optimization adjustment on the optimal scheme in the unit time period to obtain the final optimal scheme.
2. The method for optimizing intersection traffic signal plans based on queue dissipation time of claim 1, wherein: in step S1, the traffic signal control scheme includes basic phase information, phase sequence information, a control period, and a phase scheme; the traffic flow information comprises the traffic flow in the direction of an entrance road in each unit time period, the queuing length of vehicles in the unit time period and the saturated headway of the intersection.
3. The method for optimizing intersection traffic signal plans based on queue dissipation time of claim 1, wherein: in step S2, the green time demand, the green light idle time and the queue dissipation time of each inlet lane flow direction are solved, specifically,
s21, based on the traffic flow information obtained in step S1, the green time demand of each entrance way flow direction in the unit time period
Figure FDA0002429114060000011
Solving, namely:
Figure FDA0002429114060000012
Figure FDA0002429114060000013
in the formula (I), the compound is shown in the specification,
Figure FDA0002429114060000021
represents the green-time demand of the I inlet channel j flow direction; lambda [ alpha ]ijRepresenting the traffic split of the flow direction of the i entrance road j under n unit time periods; c represents the period duration of the traffic signal scheme; qijRepresenting the traffic flow in the direction of the I entrance lane j; ht represents the saturated headway;
s22, comparing the green time demand solved in the step S21 with the traffic signal control scheme in the same unit time period, and determining the green light idle time length of each inlet road flowing direction in each unit time period, namely:
Figure FDA0002429114060000022
in the formula, TijIndicating the idle discharge time of the green light in the flow direction of the inlet passage j;
Figure FDA0002429114060000023
representing the green-time demand of the flow direction of the i inlet channel j under n unit time periods; gijIndicating the duration of the green light flowing to the i entrance lane j in the traffic signal control scheme;
and S23, determining the vehicle queue dissipation time of each entrance way flow direction based on the corresponding unit time short-cut signal control scheme and the traffic flow information.
4. The method for optimizing intersection traffic signal plans based on queue dissipation time of claim 1, wherein: in step S23, each entrance lane is determinedIn-line vehicle dissipation time: t is tij＝lijHt, tijShowing the vehicle queue dissipation time, l, in the direction of i entry lane jijIndicating the number of queued vehicles in the j direction of the i-entry lane and ht indicating the saturated headway.
5. The method for optimizing intersection traffic signal plans based on queue dissipation time of any of claims 1-4, wherein: in step S3, the green-time demand of each inlet lane flow direction in the traffic signal plan in the unit time slot is optimally adjusted, and the adjusted actual green-time demand is determined, specifically,
s31, if there is green light empty, i.e. the green light empty time length TijIf the green time requirement is more than 0, adjusting the green time requirement according to the queuing dissipation time, and determining the actual green time requirement; otherwise go to step S32;
s32, if the green light idle time is less than or equal to zero, the green light idle time is trimmed according to the queuing dissipation time and the green light time in the traffic signal scheme stage, and therefore the actual green time requirement is adjusted and determined;
s33, determining the adjusted actual green-time demand G based on the steps S31 and S32ijReading the minimum green light time length g of the flow direction of the i inlet road j set in the basic phase information of the traffic signal control schemeijComparing and determining the adjusted actual green time requirement Gij: if G isij＜gijThen the minimum green time duration is taken as the actual green time requirement determined after adjustment, i.e. Gij＝gijOtherwise, the actual green time requirement obtained by the calculation of the steps is continuously used.
6. The method of optimizing intersection traffic signal plans based on queue dissipation time of claim 5, characterized in that: in step S31, the green-time requirement is adjusted according to the queuing dissipation time to obtain an actual green-time requirement, specifically,
s311, if TijIf > 0, go to the next step S312; otherwise go to step S32;
s312, if tij≥gijThen make Gij＝gijAnd go to step S33; otherwise go to the next step S313;
s313, if
Figure FDA0002429114060000031
Then G isij＝gij-Tijα, and go to step S33, otherwise go to next step S314;
s314, if
Figure FDA0002429114060000032
Then G isij＝gij-Tijβ and going to step S33, or going to step S33 after finishing the process;
wherein G isijRepresenting the actual green time requirement of the i inlet road j direction after adjustment, α and β are coefficients respectively and are set to [0,1] according to the intersection traffic channelized characteristic and the intersection traffic signal scheme]And α < β.
7. The method of optimizing intersection traffic signal plans based on queue dissipation time of claim 5, characterized in that: in step S32, the actual green-time requirement is adjusted and determined, specifically,
s321, if tij＞gijThe blank discharge time of the green lamp is corrected, i.e.
Figure FDA0002429114060000033
Go to next step S322, otherwise, the green time requirement is not adjusted, go to step S33;
s322, if
Figure FDA0002429114060000034
Then make
Figure FDA0002429114060000035
And goes to step S33; otherwise, go to the next step S323;
s323, if
Figure FDA0002429114060000036
Then make
Figure FDA0002429114060000037
And goes to step S33; otherwise go to the next step S324;
s324, if
Figure FDA0002429114060000038
Then make
Figure FDA0002429114060000039
And goes to step S33; otherwise, go to step S33;
wherein α, β are coefficients and take values between [0,1] according to intersection traffic canalization characteristics and an intersection traffic signal scheme, and α < β <.
8. The method for optimizing intersection traffic signal plans based on queue dissipation time of any of claims 1-4, wherein: in step S4, the green duration of each phase stage is determined, specifically,
s41, determining whether the phase sequence to be selected has a lapping phase, if so, turning to the next step, otherwise, turning to the step S43;
s42, if the adjusted actual green time demand GijIf the implementation requirement of the lap joint phase is met, a scheme space-free minimum convex programming model is constructed, and the optimal green light duration of each stage in the control time period is solved
Figure FDA0002429114060000041
Otherwise, eliminating the lapping phase and turning to the next step;
s43 green light duration G in flow direction of each stage based on phase sequenceijMaximum value assignment phase green duration, i.e.:
Figure FDA0002429114060000042
in the formula (I), the compound is shown in the specification,
Figure FDA0002429114060000043
representing the green light time length in the m phase stage under the nth phase sequence scheme; gijIndicating the actual green-time demand of the adjusted i inlet channel j flow direction;
s44, summarizing the green light time length of each stage obtained in the step S41
Figure FDA0002429114060000044
Determining the total period duration, namely:
Figure FDA0002429114060000045
in the formula (I), the compound is shown in the specification,
Figure FDA0002429114060000046
indicating the correction period duration for the nth set of phase sequence schemes,
Figure FDA0002429114060000047
indicating the duration of green light in the m phase stage under the nth phase sequence scheme.
9. The method for optimizing intersection traffic signal plans based on queue dissipation time of claim 8, wherein: in step S42, the optimal solution in the unit time period is subjected to cycle optimization adjustment, specifically, if the cycle duration of the optimal solution in the unit time period is obtained
Figure FDA0002429114060000048
If the maximum period maxC of the intersection traffic signal scheme is larger than the maximum period maxC of the intersection traffic signal scheme, the green light time length of each stage is determined
Figure FDA0002429114060000047
Scaling is performed, i.e.:
Figure FDA00024291140600000410
CN202010234831.0A 2020-03-27 2020-03-27 Intersection traffic signal scheme optimization method based on queuing dissipation time Active CN111429721B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202010234831.0A CN111429721B (en) 2020-03-27 2020-03-27 Intersection traffic signal scheme optimization method based on queuing dissipation time
PCT/CN2020/095094 WO2021189668A1 (en) 2020-03-27 2020-06-09 Queue dissipation time-based intersection traffic signal scheme optimization method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010234831.0A CN111429721B (en) 2020-03-27 2020-03-27 Intersection traffic signal scheme optimization method based on queuing dissipation time

Publications (2)

Publication Number Publication Date
CN111429721A true CN111429721A (en) 2020-07-17
CN111429721B CN111429721B (en) 2021-11-09

Family

ID=71549821

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010234831.0A Active CN111429721B (en) 2020-03-27 2020-03-27 Intersection traffic signal scheme optimization method based on queuing dissipation time

Country Status (2)

Country Link
CN (1) CN111429721B (en)
WO (1) WO2021189668A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111028519A (en) * 2019-12-28 2020-04-17 江苏航天大为科技股份有限公司 Self-adaptive control method based on video flow detector
CN113299080A (en) * 2021-04-28 2021-08-24 东南大学 Signal real-time optimization method based on intersection traffic state

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113863074B (en) * 2021-10-29 2022-11-25 北京交通大学 Traffic control method for relieving traffic jam at urban oversaturated intersection
CN114373296B (en) * 2021-12-07 2023-04-25 浙江银江智慧交通工程技术研究院有限公司 Method and system for evaluating network connection automatic special road layout scheme of mixed intersection
CN114202933B (en) * 2021-12-09 2023-10-27 合肥安慧软件有限公司 Intersection signal control efficiency evaluation method based on intersection electric alarm data
CN114446066B (en) * 2021-12-30 2023-05-16 银江技术股份有限公司 Road signal control method and device
CN114627660B (en) * 2022-03-11 2023-01-20 公安部交通管理科学研究所 Real-time iterative optimization control method for intersection signals facing unbalanced traffic flow
CN115512556A (en) * 2022-09-28 2022-12-23 清华大学 Traffic signal control method and device for preferential passing of special vehicles
CN116153065B (en) * 2022-12-29 2024-06-04 山东大学 Intersection traffic signal refined optimization method and device under vehicle-road cooperative environment

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103280113A (en) * 2013-05-08 2013-09-04 长安大学 Self-adaptive intersection signal control method
CN104318789A (en) * 2014-10-05 2015-01-28 哈尔滨工业大学 Method for improving green light time availability of each phase of signalized intersection entrance lane
CN105679051A (en) * 2016-03-08 2016-06-15 大连理工大学 Fully inductive coordination signal control method based on allowable green light ending period
CN105957371A (en) * 2016-06-21 2016-09-21 同济大学 Control apparatus, and traffic light control method and system applied thereby
CN106846835A (en) * 2017-02-22 2017-06-13 北方工业大学 Self-adaptive coordination control method for urban area traffic signals
CN108665715A (en) * 2018-05-09 2018-10-16 上海电科智能系统股份有限公司 A kind of road junction intelligent traffic is studied and judged and signal optimizing method
CN109035780A (en) * 2018-09-07 2018-12-18 江苏智通交通科技有限公司 The Optimal Configuration Method in section is incuded when signal controlled junctions phase is green
CN109345839A (en) * 2018-10-19 2019-02-15 江苏智通交通科技有限公司 Combinatorial phase flexible configuration method based on conventional phase sequence
CN109544945A (en) * 2018-11-30 2019-03-29 江苏智通交通科技有限公司 Region based on lane saturation degree controls multiphase traffic time allocation optimization method
CN110047299A (en) * 2019-04-10 2019-07-23 合肥学院 Intersection automobile traffic signal dynamics concocting method
CN110136444A (en) * 2019-06-06 2019-08-16 南京慧尔视智能科技有限公司 A kind of intersection green light sky puts time calculation method and device

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103778791B (en) * 2012-10-26 2016-02-10 中兴通讯股份有限公司 A kind of traffic self-adaptation control method and device
US10121369B2 (en) * 2015-09-08 2018-11-06 Ofer Hofman Method for traffic control
CN107862878B (en) * 2017-11-14 2019-11-29 浙江浙大中控信息技术有限公司 Single Intersection self-adaptation control method based on phasing scheme decision
CN109087519B (en) * 2018-08-10 2021-05-28 江苏智通交通科技有限公司 Joint control intersection traffic signal scheme stage division and green time configuration method
CN110634308B (en) * 2019-09-26 2021-09-03 同济大学 Single-intersection signal control method based on vehicle queuing dissipation time

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103280113A (en) * 2013-05-08 2013-09-04 长安大学 Self-adaptive intersection signal control method
CN104318789A (en) * 2014-10-05 2015-01-28 哈尔滨工业大学 Method for improving green light time availability of each phase of signalized intersection entrance lane
CN105679051A (en) * 2016-03-08 2016-06-15 大连理工大学 Fully inductive coordination signal control method based on allowable green light ending period
CN105957371A (en) * 2016-06-21 2016-09-21 同济大学 Control apparatus, and traffic light control method and system applied thereby
CN106846835A (en) * 2017-02-22 2017-06-13 北方工业大学 Self-adaptive coordination control method for urban area traffic signals
CN108665715A (en) * 2018-05-09 2018-10-16 上海电科智能系统股份有限公司 A kind of road junction intelligent traffic is studied and judged and signal optimizing method
CN109035780A (en) * 2018-09-07 2018-12-18 江苏智通交通科技有限公司 The Optimal Configuration Method in section is incuded when signal controlled junctions phase is green
CN109345839A (en) * 2018-10-19 2019-02-15 江苏智通交通科技有限公司 Combinatorial phase flexible configuration method based on conventional phase sequence
CN109544945A (en) * 2018-11-30 2019-03-29 江苏智通交通科技有限公司 Region based on lane saturation degree controls multiphase traffic time allocation optimization method
CN110047299A (en) * 2019-04-10 2019-07-23 合肥学院 Intersection automobile traffic signal dynamics concocting method
CN110136444A (en) * 2019-06-06 2019-08-16 南京慧尔视智能科技有限公司 A kind of intersection green light sky puts time calculation method and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
姜景玲: "混合交通流信号配时参数及优化方法研究", 《中国优秀博硕士学位论文全文数据库(硕士) 工程科技Ⅱ辑》 *
李庆吉: "基于主预信号控制的交叉口可变车道延误分析", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111028519A (en) * 2019-12-28 2020-04-17 江苏航天大为科技股份有限公司 Self-adaptive control method based on video flow detector
CN113299080A (en) * 2021-04-28 2021-08-24 东南大学 Signal real-time optimization method based on intersection traffic state
CN113299080B (en) * 2021-04-28 2021-12-21 东南大学 Signal real-time optimization method based on intersection traffic state

Also Published As

Publication number Publication date
WO2021189668A1 (en) 2021-09-30
CN111429721B (en) 2021-11-09

Similar Documents

Publication Publication Date Title
CN111429721B (en) Intersection traffic signal scheme optimization method based on queuing dissipation time
CN111554091B (en) Traffic signal control scheme time interval division method considering intersection flow unbalance condition
CN109544945B (en) Regional control phase timing optimization method based on lane saturation
CN108898855B (en) Intersection signal phase scheme green light duration configuration method
CN107610487B (en) Regional traffic control system and method based on dynamic random traffic flow phase difference coordination mechanism
CN108510758B (en) Urban expressway entrance ramp signal control method based on video real-time information
CN103280113B (en) Self-adaptive intersection signal control method
CN109035781B (en) Multi-target traffic signal scheme optimal configuration method based on intersection flow direction requirements
CN109377753B (en) Trunk line coordination optimization method for repeatedly releasing in coordination direction
CN111402605B (en) Traffic capacity model optimization-based signal control method for borrowing left turn of opposite lane
CN109993982B (en) Queuing theory-based unbalanced intersection signal phase optimization design method
CN104064041B (en) The traffic light regulating system preferential based on public transport fleet and method
CN109087519B (en) Joint control intersection traffic signal scheme stage division and green time configuration method
CN111899534A (en) Traffic light intelligent control method based on road real-time capacity
CN110232821A (en) A kind of peak period bay bus stop closes on lane capacity calculation method
CN111524345B (en) Induction control method for multi-objective optimization under constraint of real-time queuing length of vehicle
CN111932873A (en) Real-time traffic early warning management and control method and system for mountain city hot spot area
WO2020108216A1 (en) Rationality analysis and coordination mode configuration method for coordinated trunk road
CN112037546B (en) Traffic signal control method and device
CN113269957A (en) Parking lot parking space scheduling system and method
CN112767700A (en) Signal intersection dynamic induction type CAV special straight-going entrance way layout method
CN115662159B (en) Signal phase scheme selection and timing method for road intersection lane distribution characteristics
CN109903570A (en) Intersection signal timing scheme smooth transient method under multi-period timing controlled
CN114037587B (en) Urban commute main channel multi-ramp network connection control method based on heterogeneous causal inference
CN113516866B (en) Bus punctual arrival scheduling method under integration of intelligent networking technology

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 211106 19 Su Yuan Avenue, Jiangning economic and Technological Development Zone, Nanjing, Jiangsu

Applicant after: JIANGSU ZHITONG TRAFFIC TECHNOLOGY Co.,Ltd.

Address before: 210006, Qinhuai District, Jiangsu, Nanjing should be 388 days street, Chenguang 1865 Technology Creative Industry Park E10 building on the third floor

Applicant before: JIANGSU ZHITONG TRAFFIC TECHNOLOGY Co.,Ltd.

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant