CN114049759B - Intersection forbidden left evaluation method based on macroscopic basic diagram - Google Patents
Intersection forbidden left evaluation method based on macroscopic basic diagram Download PDFInfo
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Abstract
The invention relates to a left forbidden evaluation method of an intersection based on a macroscopic basic diagram, and belongs to the technical field of traffic management control. The invention establishes an evaluation method for forbidden left-turn communication organization optimization of a plurality of intersections, even regional intersections, based on a macroscopic basic diagram theory, overcomes the defect that the conventional method only evaluates forbidden left-turn measures of a single intersection, firstly, the method analyzes forbidden left-turn traffic flow direction transfer, and establishes a macroscopic basic diagram model under forbidden left-turn traffic organization based on a classical macroscopic basic diagram model; then, by means of simulation, macroscopic basic graph model parameters under forbidden left traffic organizations are obtained, and scientific evaluation is carried out on different forbidden left schemes. The method can effectively evaluate the left forbidden programs in different areas and under different traffic flows, and provides effective theoretical support and scientific basis for scientifically making left forbidden management and control measures of intersections.
Description
Technical Field
The invention belongs to the technical field of traffic management control, and particularly relates to a left forbidden evaluation method for an intersection based on a macroscopic basic diagram.
Background
As the vehicle retention rate continues to increase, intersection oversaturation traffic conditions have gradually assumed normalization and, for metropolitan areas, oversaturation traffic conditions have evolved from intersection oversaturation to regional oversaturation. When facing such huge traffic pressure, many cities usually release the traffic pressure by perfecting traffic measures such as road canalization and optimizing signal timing. The left-forbidden intersection is a traffic organization mode which can effectively relieve traffic pressure, most researches only illustrate the advantages and disadvantages of a single left-forbidden intersection measure at present, and a detailed index is not systematically given to quantitatively determine whether the left-forbidden intersection is forbidden or not; in addition, in daily traffic management, management personnel cannot make effective and reasonable left-forbidden measures due to the lack of the index, so that traffic is disordered, and a detailed index is not given in previous researches to guide the linkage or regional left-forbidden of a plurality of intersections. In recent years, a macroscopic basic diagram becomes an important means for globally evaluating traffic running states from a macroscopic level, and the invention establishes a universality left-forbidden evaluation method based on the characteristic of the macroscopic basic diagram, effectively evaluates left-forbidden schemes under different areas and different traffic flows, and provides effective theoretical support and scientific basis for scientifically making traffic management and control measures.
Disclosure of Invention
The invention aims to provide a method for evaluating left forbidden intersections based on a macroscopic basic diagram, which aims to solve the existing problems: the prior researches only illustrate the advantages and disadvantages of a single intersection left-forbidden measure, and do not systematically give a detailed index to quantitatively determine whether to forbidden an intersection; in normal traffic management, due to the lack of the index, management personnel cannot make effective and reasonable left-forbidden measures, so that traffic is disordered.
In order to solve the technical problems, the invention is realized by the following technical scheme: an intersection left forbidden evaluation method based on a macroscopic basic graph, the method comprising the following steps:
collecting traffic flow of entrance roads of each intersection, analyzing a transfer mode of traffic flow after left prohibition and transfer proportion of each mode, obtaining traffic flow of the entrance roads of each intersection after left prohibition, and establishing an expression of road network weighted flow and total traffic flow based on a macroscopic basic diagram;
carrying out mode transformation on the expression of the road network weighted traffic and the total traffic based on the macroscopic basic diagram to obtain a basic model based on the macroscopic basic diagram;
based on the basic model based on the macroscopic basic diagram, establishing a macroscopic basic diagram model under the forbidden left traffic organization by combining forbidden left traffic flow direction analysis;
simulating the forbidden left of the intersection, and obtaining macroscopic basic diagram parameters of the forbidden left lower part of the intersection through data analysis;
and constructing macroscopic fundamental diagram left-forbidden models under different left-turning traffic flow ratios, and evaluating left-forbidden schemes under different areas and different traffic flows.
Further: the expression of the road network weighted traffic and the total traffic based on the macroscopic basic diagram is as follows:
wherein q w Representing road network weighted traffic; q represents the total traffic volume of the road network; k (k) i Representing the density of road section i; q i Representing the traffic of road section i; l (L) i Indicating the length of the road segment i.
Further: the method for transforming the expression of the road network weighted traffic and the total traffic based on the macroscopic basic diagram to obtain the basic model based on the macroscopic basic diagram mainly comprises the following steps:
according to the left forbidden reason, the weighting mode in the expression of the road network weighted flow and the total traffic volume based on the macroscopic basic diagram is adjusted, the original road length weighting is converted into the road length multiplied by the lane number weighting, and the adjusted expression is as follows:
wherein q w Representing road network weighted traffic; q represents the total traffic volume of the road network; k (k) i Representing the density of road section i; q i Representing the traffic of road section i; l (L) i Representing the length of road section i; n is n i Indicating the number of lanes;
obtaining different influences of different road segments of different road networks on the overall weighted flow through simulation, drawing a macroscopic basic diagram of a single road and a macroscopic basic diagram of the whole road network according to the adjusted expression, obtaining a correction coefficient through data comparison, and adding the correction coefficient into the expression:
wherein q w Representing road network weighted traffic; q represents the total traffic volume of the road network; k (k) i Representing the density of road section i; q i Representing the traffic of road section i; l (L) i Representing the length of road section i; n is n i Indicating the number of lanes; alpha i Is a correction coefficient.
Further: based on the basic model based on the macroscopic basic diagram, the method for establishing the macroscopic basic diagram model under the forbidden left traffic organization mainly comprises the following steps of:
and a macroscopic basic graph model of the single intersection forbidden left lower part is established by adopting flow weighting, and the calculation model is as follows:
wherein q w Representing road network weighted traffic; q represents the total traffic volume of the road network; k (k) i Representing the density of road section i; n is n i The number of lanes for road section i; q ij Representing the flow of the j lanes of the i road section;
the traffic organization mode about forbidden left in the road network is analyzed according to different intersection grades;
establishing a macroscopic basic diagram model of the regional forbidden left lower part:
wherein q w Weighting flow of the whole calculation road network; a and b respectively representAnd->Is a weighted value of (2); />Representing classical macroscopic basic graph parameter calculation values; />A macroscopic base map parameter calculation representing a single intersection.
Further: the intersection grade includes:
the grade 1 is that a two-way six-lane road and a road intersection above the two-way six-lane road are connected;
grade 2, connecting the intersection of the main road and the secondary road;
grade 3, connecting the intersection of the secondary trunk road and the secondary trunk road of the two-way four lanes;
grade 4. The intersection of the secondary trunk and the branch is connected;
grade 5. The intersection of the branch road and the branch road connecting the two-way lanes;
and 6. Connecting the intersection of the main road and the branch road.
Further: simulating the forbidden left of the intersection, and obtaining macroscopic basic diagram parameters of the forbidden left of the intersection through data analysis, wherein the macroscopic basic diagram parameters mainly comprise:
simulating a forbidden left of a single intersection to obtain traffic flow, obtaining macroscopic basic diagram parameters of the forbidden left of the intersection through data analysis, constructing a macroscopic basic diagram, obtaining a maximum weighted flow point, judging the weighted flow after forbidden left is compared with the weighted flow increment value before forbidden left through an expression of the road network weighted flow and the total traffic flow based on the macroscopic basic diagram, and obtaining a unitary quadratic regression equation after the data is fitted through a least square method:
y＝-0.0076x 2 +8.7113x
wherein y is the weighted flow; x is the vehicle cumulative amount;
simulating the forbidden left of the whole trunk line to obtain the traffic flow of the trunk line, obtaining macroscopic basic map parameters of the forbidden left of the whole trunk line through data analysis, constructing a macroscopic basic map, obtaining a maximum weighted flow point, judging the weighted flow after forbidden left is compared with the weighted flow increment value before forbidden left through an expression of the road network weighted flow and the total traffic flow based on the macroscopic basic map, and obtaining a unitary quadratic regression equation after the data is subjected to least square fitting:
y＝-0.007x 2 +7.9738x
wherein y is the weighted flow; x is the vehicle cumulative amount;
obtaining regional traffic flow through the left forbidden simulation of the whole region, obtaining macroscopic basic map parameters of the left forbidden lower part of the whole region through data analysis, constructing a macroscopic basic map, obtaining a maximum weighted flow point, judging the weighted flow after the left forbidden is compared with the weighted flow reduction value before the left forbidden, and obtaining a unitary quadratic regression equation after the data is subjected to least square fitting:
y＝-0.0092x 2 +8.4786x
wherein y is the weighted flow; x is the vehicle cumulative amount.
Further: the method for constructing the macroscopic fundamental diagram left-forbidden model under different left-turning traffic flow ratios, and evaluating left-forbidden schemes under different areas and different traffic flows mainly comprises the following steps:
when the left-turn traffic accounts for 10% of the total traffic, the relationship between the weighted traffic and the cumulative amount of vehicles for a single main road is: y= -0.0076x 2 +8.7113x; the relationship between the weighted flow rates and the vehicle cumulative amounts for the main road and the sub-main road is: y= -0.007x 2 +7.9738x, rated: the single main road, the main road and the secondary main road can be forbidden to the left, and the branches are forbidden to the left to influence traffic;
when the left-turn traffic accounts for 15% of the total traffic, the relationship between the weighted traffic and the cumulative amount of vehicles for a single main road is: y= -0.0079x 2 +8.9727x; the relationship between the weighted flow rates and the vehicle cumulative amounts for the main road and the sub-main road is: y= -0.0073x 2 +8.2927x, rated: the single main road, the main road and the secondary main road can be forbidden to the left, and the branches are forbidden to the left to influence traffic;
when the left-turn traffic accounts for 20% of the total traffic, the relationship between the weighted traffic and the cumulative amount of vehicles for a single main road is: y= -0.0075x 2 +8.524x; the relationship between the weighted flow rates and the vehicle cumulative amounts for the main road and the sub-main road is: y= -0.0065x 2 +7.4634x, rated: the single main road can be forbidden to the left so as to be beneficial to relieving traffic pressure, and the main road and the secondary main road can be forbidden to the left but have smaller influence compared with the single main road, and the left is forbidden to the left by the branch road so as to influence traffic;
when the left-turn traffic is 25% of the total traffic, the relationship between the weighted flow and the cumulative amount of vehicles for a single main road is：y＝-0.0067x 2 +7.6716x; traffic deadlock conditions occur for the main road and the secondary road, and the traffic deadlock conditions cannot be evaluated as follows by a data fitting relation expression: the ability of a single main road to disable left and relieve traffic pressure is small, and the main road and secondary main road to disable left and branch road to disable left can block traffic.
The invention has the following beneficial effects:
(1) The invention establishes an evaluation method for forbidden left-turn communication organization optimization of a plurality of intersections, even regional intersections, based on a macroscopic basic diagram theory, overcomes the defect that the conventional method only evaluates forbidden left-turn measures of a single intersection, and provides effective theoretical support and scientific basis for scientifically making forbidden left-turn traffic control measures.
(2) The invention utilizes the macroscopic basic diagram to evaluate the traffic environment under different areas and different traffic flow conditions, and has stronger universality and operability.
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In order to more clearly illustrate the technical solutions of the embodiments of the invention, the drawings that are needed for the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow diagram of the method of the present invention;
FIG. 2 is a forbidden left-hand bypass mode diagram of the present invention;
FIG. 3 is a region simulation modeling diagram of the present invention;
FIG. 4 is an original macroscopic basic diagram of the present invention;
FIG. 5 is a single point left disabled macroscopic basic diagram of the present invention;
FIG. 6 is a macroscopic basic diagram of the present invention after trunk disable;
fig. 7 is a macroscopic basic view of the invention after full disablement of the left.
Detailed Description
The following description of the technical solutions in the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, based on the embodiments in the invention, which a person of ordinary skill in the art would obtain without inventive faculty, are within the scope of the invention.
Referring to fig. 1, the invention discloses a method for evaluating forbidden left of an intersection based on a macroscopic basic diagram, which comprises the following steps:
step 1: collecting traffic flow of entrance roads of each intersection, analyzing a transfer mode of traffic flow after left prohibition and transfer proportion of each mode, obtaining traffic flow of the entrance roads of each intersection after left prohibition, and establishing an expression of road network weighted flow and total traffic flow based on a macroscopic basic diagram;
in this step, the transfer mode of the traffic flow after the forbidden left in this step 1 may be set, as shown in fig. 2, and the expression of the road network weighted traffic and the total traffic flow based on the macroscopic basic graph is established as follows:
according to the traffic flow of the entrance road of every intersection after forbidden left, a weighted flow (q w ) And road network total traffic (Q). According to the macroscopic basic graph model theory, the road network related parameter calculation formula is as follows:
wherein k is i Representing the density of road section i; q i Representing the traffic of road section i; l (L) i Indicating the length of the road segment i.
Step 2: carrying out mode transformation on the expression of the road network weighted traffic and the total traffic based on the macroscopic basic diagram to obtain a macroscopic basic diagram-based model;
specifically, the method comprises the following two steps:
and 2.1, forbidding left turning to cause the original left turning vehicle to turn straight or turn around, wherein the weighting mode in the original calculation formula is changed, and the original road length weighting is changed into the weighting by multiplying the road length by the number of lanes, so that the left turning to straight or turn right traffic can be considered. The correlation calculation formula becomes as follows:
wherein k is i Representing the density of road section i; q i Representing the traffic of road section i; l (L) i Representing the length of road section i; n is n i Indicating the number of lanes.
And 2.2, the road network grade can correct the correction coefficients of different road segments in the same road network, and different effects on the overall weighted flow among different road segments of different road networks can be obtained through simulation. In the Beijing road patch area, three road grades are shared, a macroscopic basic diagram of a single road and a macroscopic basic diagram of the whole road network are drawn through the model, correction coefficients are obtained through data comparison, a main road is 1.15, a secondary main road is 1.05, a branch road is 0.8, and the concrete model is as follows:
wherein k is i Representing the density of road section i; q i Representing the flow of the i road section; l (L) i Representing the length of road section i; n is n i Indicating the number of lanes.
Step 3: based on the macroscopic basic graph basic model, establishing a macroscopic basic graph model under a forbidden left traffic organization by combining forbidden left traffic flow direction analysis;
specifically, the method comprises two steps, namely:
step 3.1: the method comprises the steps of establishing a macroscopic basic graph model of a single intersection under forbidden left, wherein the optimal forbidden left condition of the single intersection needs to be obtained, but the lengths of coming road sections in four directions of the single intersection are negligible for the whole road network, so that the road network macroscopic basic graph model is not suitable for calculating the macroscopic basic graph parameters of the single intersection, and the flow weighting is adopted at the moment, and the calculation model is as follows:
wherein: n is n i The number of lanes for road section i; q ij And the flow of the j lanes of the i road section is represented.
The traffic organization mode about forbidden left in the road network can be specifically analyzed according to different intersection grades, and the specific intersection grades are as follows:
(1) An intersection connecting the main road (two-way six lanes or more) and the main road;
(2) An intersection for connecting the main road and the secondary road;
(3) An intersection connecting the secondary trunk road (two-way four-lane) and the secondary trunk road;
(4) An intersection connecting the secondary trunk and the branch;
(5) An intersection connecting the branch (two-way lane) and the branch;
(6) And an intersection connecting the trunk and the branch.
The optimal forbidden left vehicles of different grades of single intersections are different in number, the linkage traffic volumes of different intersections for linkage forbidden left are also different, and a macroscopic basic diagram is needed to carry out specific analysis on specific road sections in specific situations.
The optimal forbidden left vehicles of different grades of single intersections are different in number, the linkage traffic volumes of different intersections for linkage forbidden left are also different, and a macroscopic basic diagram is needed to carry out specific analysis on specific road sections in specific situations.
Step 3.2: establishing a macroscopic basic diagram model of the regional forbidden left lower part:
wherein: q w Weighting flow of the whole calculation road network; a and b respectively representAnd->Is a weighted value of (2); />Representing classical macroscopic basic graph parameter calculation values; />A macroscopic base map parameter calculation representing a single intersection. In the above steps, weighting is carried out on the classical macroscopic basic map parameter calculation model and the intersection macroscopic basic map parameter calculation model, the traffic flow in the whole road network is divided into the road section traffic flow and the intersection traffic flow, and the macroscopic basic map parameter calculation model of the whole road network is comprehensively obtained, wherein the weighting values a and b correspond to the road section weighting flow and the intersection weighting flow respectively. Because the weighting modes of the macroscopic basic graph models of the intersection and the road section are different, the obtained macroscopic basic graph parameters are also different, and the average value of the macroscopic basic graph models is taken as +.>Will->And->The comparison yields the respective weighting values a, b. The calculation formula is as follows:
step 4: simulating the forbidden left of the intersection, and obtaining macroscopic basic diagram parameters of the forbidden left lower part of the intersection through data analysis;
here, the present step includes three steps as follows:
step 4.1: firstly, simulating a single intersection forbidden left to obtain traffic flow, obtaining macroscopic basic map parameters of the intersection forbidden left lower through data analysis, constructing a macroscopic basic map, and obtaining a maximum weighted flow point (714, 2827), namely when the vehicle accumulation reaches 714 vehicles, the road network is the most unobstructed, and the weighted flow is 2827veh/h. And (3) obtaining an expression of the road network weighted flow and the total traffic flow through the step (1), and judging that the weighted flow after the Beijing road is forbidden is increased by 12.6% compared with the weighted flow before the Beijing road is forbidden, so that the traffic service capability of the road section is improved. After the data is fitted by a least square method, a unitary quadratic regression equation is obtained:
y＝-0.0076x 2 +8.7113x
step 4.2: firstly, simulating the left forbidden trunk line to obtain the traffic flow of the trunk line, obtaining macroscopic basic map parameters of the left forbidden trunk line through data analysis, constructing a macroscopic basic map, and obtaining a maximum weighted flow point (660, 2610), namely when the accumulated quantity of vehicles reaches 660 vehicles, the road network is the most unobstructed, and the weighted flow is 2610veh/h. And (3) obtaining an expression of the road network weighted flow and the total traffic flow through the step (1), and judging that the weighted flow after the Beijing road is forbidden to the left is increased by 3.7% compared with the weighted flow before the Beijing road is forbidden to the left, so that the regional traffic service capability is improved. After the data is fitted by a least square method, a unitary quadratic regression equation is obtained:
y＝-0.007x 2 +7.9738x
step 4.3: firstly, regional traffic flow is obtained through regional left forbidden simulation of the whole region, macroscopic basic map parameters of the lower left forbidden region of the whole region are obtained through data analysis, a macroscopic basic map is constructed, and the maximum weighted flow point is obtained (455, 2288), namely when the accumulated quantity of vehicles reaches 455 vehicles, the road network is the most unobstructed, and the weighted flow is 2288veh/h. The weighted flow after the Beijing road is forbidden to the left is reduced by 9.1% compared with the weighted flow before the Beijing road is forbidden to the left, and the traffic service capability of the whole area is improved. After the data is fitted by a least square method, a unitary quadratic regression equation is obtained:
y＝-0.0092x 2 +8.4786x
step 5: and constructing macroscopic fundamental diagram left-forbidden models under different left-turning traffic flow ratios, and evaluating left-forbidden schemes under different areas and different traffic flows.
In one embodiment, the present invention selects the area surrounded by Beijing road-around Beijing road-people east road in Kunming city for simulation experiment, as shown in FIG. 3.
The left forbidden measure analysis of the evaluation area through the macroscopic basic diagram can be known: when the left turning traffic flow is less than 15% of the total traffic flow, the left forbidden at the single intersection, the left forbidden at the main road and the left forbidden at the secondary main road can effectively improve the traffic capacity of the road network; when the left turning traffic flow accounts for 15% -20% of the total traffic flow, the left-forbidden main road and the left-forbidden main road at a single intersection can effectively improve the traffic capacity of the road network, and the effect of improving the traffic capacity of the road network by the left-forbidden main road and the left-forbidden sub main road is reduced; when the left turning traffic flow accounts for 20% -25% of the total traffic flow, the single intersection can effectively improve the traffic capacity of the road network, the effect of relieving traffic pressure by the left forbidden main road is reduced, and the traffic can be blocked by the left forbidden main road and the secondary main road; when the left turning traffic flow accounts for 25% -30% of the total traffic flow, the effect of disabling the left lifting road network traffic capacity at a single intersection is reduced, and traffic is blocked by disabling the left main road, the main road and the secondary main road; when the left turn traffic flow accounts for more than 30% of the total traffic flow, the intersection is forbidden to left, which can obstruct traffic. The macroscopic basic diagrams under different forbidden left traffic flows are shown in fig. 4, fig. 5, fig. 6 and fig. 7 respectively.
From the above, it can be seen that:
the invention establishes an evaluation method for forbidden left-hand communication organization optimization of a plurality of intersections, even regional intersections, based on a macroscopic basic diagram theory, and overcomes the defect that the conventional method only evaluates forbidden left-hand measures of a single intersection. Firstly, analyzing forbidden left traffic flow direction transfer, and constructing a macroscopic basic diagram model under forbidden left traffic organization based on a classical macroscopic basic diagram model; then, through simulating Beijing road area in Kunming city, macroscopic basic graph model parameters under forbidden left traffic organization are obtained, and scientific evaluation is carried out on different forbidden left schemes. The method can effectively evaluate the left forbidden schemes in different areas and under different traffic flows, and provides effective theoretical support and scientific basis for scientifically making traffic control measures.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above disclosed preferred embodiments of the invention are merely intended to help illustrate the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. A left forbidden evaluation method of an intersection based on a macroscopic basic diagram is characterized by comprising the following steps of: the method comprises the following steps:
collecting traffic flow of entrance roads of each intersection, analyzing a transfer mode of traffic flow after left prohibition and transfer proportion of each mode, obtaining traffic flow of the entrance roads of each intersection after left prohibition, and establishing an expression of road network weighted flow and total traffic flow based on a macroscopic basic diagram;
carrying out mode transformation on the expression of the road network weighted traffic and the total traffic based on the macroscopic basic diagram to obtain a basic model based on the macroscopic basic diagram;
based on the basic model based on the macroscopic basic diagram, establishing a macroscopic basic diagram model under the forbidden left traffic organization by combining forbidden left traffic flow direction analysis;
simulating the forbidden left of the intersection, and obtaining macroscopic basic diagram parameters of the forbidden left lower part of the intersection through data analysis;
constructing macroscopic fundamental diagram left-forbidden models under different left-turn traffic flow ratios, and evaluating left-forbidden schemes under different areas and different traffic flows;
the method for transforming the expression of the road network weighted traffic and the total traffic based on the macroscopic basic diagram to obtain the basic model based on the macroscopic basic diagram mainly comprises the following steps:
according to the left forbidden reason, the weighting mode in the expression of the road network weighted flow and the total traffic volume based on the macroscopic basic diagram is adjusted, the original road length weighting is converted into the road length multiplied by the lane number weighting, and the adjusted expression is as follows:
wherein q w Representing road network weighted trafficThe method comprises the steps of carrying out a first treatment on the surface of the Q represents the total traffic volume of the road network; k (k) i Representing the density of road section i; q i Representing the traffic of road section i; l (L) i Representing the length of road section i; n is n i Indicating the number of lanes;
obtaining different influences of different road segments of different road networks on the overall weighted flow through simulation, drawing a macroscopic basic diagram of a single road and a macroscopic basic diagram of the whole road network according to the adjusted expression, obtaining a correction coefficient through data comparison, and adding the correction coefficient into the expression:
wherein q w Representing road network weighted traffic; q represents the total traffic volume of the road network; k (k) i Representing the density of road section i; q i Representing the traffic of road section i; l (L) i Representing the length of road section i; n is n i Indicating the number of lanes; alpha i Is a correction coefficient.
2. The intersection left forbidden evaluation method based on the macroscopic basic graph according to claim 1, wherein the method comprises the following steps: the expression of the road network weighted traffic and the total traffic based on the macroscopic basic diagram is as follows:
wherein q w Representing road network weighted traffic; q represents the total traffic volume of the road network; k (k) i Representing the density of road section i; q i Representing road section iA flow rate; l (L) i Indicating the length of the road segment i.
3. The intersection left forbidden evaluation method based on the macroscopic basic graph according to claim 1, wherein the method comprises the following steps: based on the basic model based on the macroscopic basic diagram, the method for establishing the macroscopic basic diagram model under the forbidden left traffic organization mainly comprises the following steps of:
and a macroscopic basic graph model of the single intersection forbidden left lower part is established by adopting flow weighting, and the calculation model is as follows:
wherein q w Representing road network weighted traffic; q represents the total traffic volume of the road network; k (k) i Representing the density of road section i; n is n i The number of lanes for road section i; q ij Represents the flow of the j lanes of the i road section, l i Representing the length of road section i;
the traffic organization mode about forbidden left in the road network is analyzed according to different intersection grades;
establishing a macroscopic basic diagram model of the regional forbidden left lower part:
wherein q w Weighting flow of the whole calculation road network; a and b respectively representAnd->Is a weighted value of (2); />Representing classical macroscopic basic graph parameter calculation values; />A macroscopic base map parameter calculation representing a single intersection.
4. A method for left-forbidden evaluation of intersections based on macroscopic basic graphs according to claim 3, wherein: the intersection grade includes:
the grade 1 is that a two-way six-lane road and a road intersection with more than six lanes are connected;
grade 2, connecting the intersection of the main road and the secondary road;
grade 3, connecting the intersection of the secondary trunk road and the secondary trunk road of the two-way four lanes;
grade 4. The intersection of the secondary trunk and the branch is connected;
grade 5. The intersection of the branch road and the branch road connecting the two-way lanes;
and 6. Connecting the intersection of the main road and the branch road.
5. The intersection left forbidden evaluation method based on the macroscopic basic graph according to claim 1, wherein the method comprises the following steps: simulating the forbidden left of the intersection, and obtaining macroscopic basic diagram parameters of the forbidden left of the intersection through data analysis, wherein the macroscopic basic diagram parameters mainly comprise:
simulating a forbidden left of a single intersection to obtain traffic flow, obtaining macroscopic basic diagram parameters of the forbidden left of the intersection through data analysis, constructing a macroscopic basic diagram, obtaining a maximum weighted flow point, judging the weighted flow after forbidden left is compared with the weighted flow increment value before forbidden left through an expression of the road network weighted flow and the total traffic flow based on the macroscopic basic diagram, and obtaining a unitary quadratic regression equation after the data is fitted through a least square method:
y＝-0.0076x 2 +8.7113x
wherein y is the weighted flow; x is the vehicle cumulative amount;
simulating the forbidden left of the whole trunk line to obtain the traffic flow of the trunk line, obtaining macroscopic basic map parameters of the forbidden left of the whole trunk line through data analysis, constructing a macroscopic basic map, obtaining a maximum weighted flow point, judging the weighted flow after forbidden left is compared with the weighted flow increment value before forbidden left through an expression of the road network weighted flow and the total traffic flow based on the macroscopic basic map, and obtaining a unitary quadratic regression equation after the data is subjected to least square fitting:
y＝-0.007x 2 +7.9738x
wherein y is the weighted flow; x is the vehicle cumulative amount;
obtaining regional traffic flow through the left forbidden simulation of the whole region, obtaining macroscopic basic map parameters of the left forbidden lower part of the whole region through data analysis, constructing a macroscopic basic map, obtaining a maximum weighted flow point, judging the weighted flow after the left forbidden is compared with the weighted flow reduction value before the left forbidden, and obtaining a unitary quadratic regression equation after the data is subjected to least square fitting:
y＝-0.0092x 2 +8.4786x
wherein y is the weighted flow; x is the vehicle cumulative amount.
6. The intersection left forbidden evaluation method based on the macroscopic basic graph according to claim 1, wherein the method comprises the following steps: the method for constructing the macroscopic fundamental diagram left-forbidden model under different left-turning traffic flow ratios, and evaluating left-forbidden schemes under different areas and different traffic flows mainly comprises the following steps:
when the left-turn traffic accounts for 10% of the total traffic, the relationship between the weighted traffic and the cumulative amount of vehicles for a single main road is: y= -0.0076x 2 +8.7113x; the relationship between the weighted flow rates and the vehicle cumulative amounts for the main road and the sub-main road is: y= -0.007x 2 +7.9738x, rated: the single main road, the main road and the secondary main road can be forbidden to the left, and the branches are forbidden to the left to influence traffic;
when the left turning traffic accounts for 15% of the total traffic, the addition of a single main roadThe relationship between the weight flow amount and the vehicle cumulative amount is: y= -0.0079x 2 +8.9727x; the relationship between the weighted flow rates and the vehicle cumulative amounts for the main road and the sub-main road is: y= -0.0073x 2 +8.2927x, rated: the single main road, the main road and the secondary main road can be forbidden to the left, and the branches are forbidden to the left to influence traffic;
when the left-turn traffic accounts for 20% of the total traffic, the relationship between the weighted traffic and the cumulative amount of vehicles for a single main road is: y= -0.0075x 2 +8.524x; the relationship between the weighted flow rates and the vehicle cumulative amounts for the main road and the sub-main road is: y= -0.0065x 2 +7.4634x, rated: the single main road can be forbidden to the left so as to be beneficial to relieving traffic pressure, and the main road and the secondary main road can be forbidden to the left but have smaller influence compared with the single main road, and the left is forbidden to the left by the branch road so as to influence traffic;
when the left-turn traffic is 25% of the total traffic, the relationship between the weighted traffic and the cumulative amount of vehicles for a single main road is: y= -0.0067x 2 +7.6716x; traffic deadlock conditions occur for the main road and the secondary road, and the traffic deadlock conditions cannot be evaluated as follows by a data fitting relation expression: the ability of a single main road to disable left and relieve traffic pressure is small, and the main road and secondary main road to disable left and branch road to disable left can block traffic.
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