CN108389404B - Road traffic jam treatment method - Google Patents

Road traffic jam treatment method Download PDF

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CN108389404B
CN108389404B CN201810378139.8A CN201810378139A CN108389404B CN 108389404 B CN108389404 B CN 108389404B CN 201810378139 A CN201810378139 A CN 201810378139A CN 108389404 B CN108389404 B CN 108389404B
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traffic flow
traffic
adjacent intersections
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韩直
岳海亮
朱湧
刘贞毅
杨桪
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China Merchants Chongqing Communications Research and Design Institute Co Ltd
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Abstract

The invention provides a road traffic jam treatment method, which comprises the following steps: acquiring road traffic information between two adjacent intersections, and calculating the average speed of the road; acquiring intersection length D and traffic flow information of a downstream intersection in two adjacent intersections, solving the average speed of the downstream intersection, and determining real-time traffic flow passing through a road section between the two adjacent intersections and the maximum traffic flow between the two adjacent intersections according to the acquired information; determining influence factors on the real-time traffic flow between two adjacent intersections, and judging the influence of each influence factor on the real-time traffic flow; respectively establishing functional relation models between the influence factors and the real-time traffic flow, solving a quotient between any two functional relation models, and then obtaining the importance sequence of the influence factors according to the solved quotient; and determining traffic jam treatment measures according to the importance sequence of the influence factors, effectively treating traffic jam and having strong adaptability.

Description

Road traffic jam treatment method
Technical Field
The invention relates to the field of traffic management, in particular to a road traffic jam treatment method.
Background
With the development of society, the quantity of retained automobiles is gradually increased, however, the increment of roads for automobile driving is far shorter than the increasing speed of the quantity of retained automobiles, and the congestion phenomenon of modern urban roads is increasingly serious.
In the prior art, the following measures are mainly adopted for treating congestion: new roads are re-developed which is costly, long and often difficult to add due to geographical limitations in cities. The traffic control mode, such as certain big cities, controls the congestion by a single-number and double-number mode, however, the mode is reduced a little, and the urban congestion condition cannot be effectively controlled; of course, there are other ways, such as road restriction, to divide lanes of the same-direction road into multiple types, for example, a certain lane can only go straight, and is a directional lane, i.e. an unchangeable lane, and other roads can change lanes, but this way only solves the traffic pressure of the destination to which the lane leads, but increases the pressure of other lanes in the same direction; therefore, no effective measure is available at present for effectively treating the congestion.
Therefore, in order to solve the above technical problem, it is necessary to propose a new scheme.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method for managing road traffic congestion, which can dynamically determine the current traffic congestion factor and the importance of the factor according to the traffic information between adjacent intersections of the road, so as to dynamically take corresponding traffic management measures according to the importance, thereby effectively alleviating and managing the problem of urban traffic congestion, and reducing the cost with strong adaptability.
The invention provides a road traffic jam treatment method, which comprises the following steps:
s1, acquiring road traffic information between two adjacent intersections, and calculating the average speed V1 of the road;
s2, acquiring intersection length D and traffic flow information q2 of a downstream intersection of two adjacent intersections, and calculating the average speed V2 of the downstream intersection, wherein V1 is greater than V2;
s3, acquiring information according to the step S1 and the step S2 to determine the real-time traffic flow q1 of the road section between the two adjacent intersections and the maximum traffic flow q between the two adjacent intersections l；
S4, determining influence factors on the real-time traffic flow q1 between two adjacent intersections, and judging the influence of each influence factor on the real-time traffic flow q 1;
s5, respectively establishing functional relation models between the influence factors and the real-time traffic flow q1, solving a quotient between any two functional relation models, and then obtaining the importance sequence of the influence factors according to the solved quotient;
and S6, determining traffic jam treatment measures according to the importance sequence of the influence factors.
Further, a traffic flow q1 through a link between two adjacent intersections is calculated according to the following method:
establishing a traffic fluctuation model:
Figure BDA0001640352550000021
wherein q2 is the traffic flow of a downstream intersection of two adjacent intersections, K1 is the traffic flow density of a road section between the two adjacent intersections, K2 is the traffic flow density of the downstream intersection of the two adjacent intersections, and W1 is the wave speed of traffic waves;
calculating the vehicle queuing length l between two adjacent intersections:
l＝(v 2-w 1) t (2), wherein t is the time when the vehicle passes through a downstream intersection of two adjacent intersections;
establishing a traffic flow and vehicle speed relation model q ═ kv (3), wherein k is traffic flow density;
the united type (1), (2) and (3) obtains a traffic flow q1 of a link passing between two adjacent intersections:
Figure BDA0001640352550000031
further, the influence factors on the real-time traffic flow q1 between two adjacent intersections include an average vehicle speed V1 between two adjacent intersections, an average vehicle speed V2 at a downstream intersection, a traffic flow q2 at the downstream intersection, a time t when the vehicle passes through the downstream intersection, and a link length L between adjacent intersections.
Further, step S5 includes: the functional relationship between the influencing factors and the real-time traffic flow q1 is modeled as follows:
Figure BDA0001640352550000032
Figure BDA0001640352550000033
Figure BDA0001640352550000034
Figure BDA0001640352550000036
the following equations (9) to (13) are obtained by mutually deriving:
Figure BDA0001640352550000041
Figure BDA0001640352550000042
Figure BDA0001640352550000043
Figure BDA0001640352550000044
Figure BDA0001640352550000046
the formula (14) is finished to obtain:
Figure BDA0001640352550000048
and x1 is greater than 1; at this time, the amount of traffic passing through the downstream intersection has a greater influence on the traffic flow q1 than the time of passing through the downstream intersection;
the formula (15) can be finished to obtain:
Figure BDA0001640352550000049
Figure BDA0001640352550000051
due to (v) 1-v 2)t+L>v 2q 2t, thus 1/x 2>1, at this time, the traffic flow q2 has a greater influence on the traffic flow q1 than the average vehicle speed V2;
the formula (16) can be finished to obtain:
Figure BDA0001640352550000052
due to dq 2[tv 1(v 1+dv 1-v 2)+Lv 1]>dv 1(Lq 2-v 2t), x3 is less than 1, at which time the traffic flow q2 at the downstream intersection has a greater effect on the traffic flow q1 than by the average vehicle speed V1;
the formula (17) can be arranged:
Figure BDA0001640352550000053
due to v 1t+L+v 2 2>v 2(2t+v 1)+tdv 2X5 is less than 1;
therefore, the time t of passage through the downstream intersection has a greater influence on the traffic flow q1 than the average vehicle speed V2 of passage through the intersection;
when formula (18) is collated, the following can be obtained:
Figure BDA0001640352550000054
the formula is rearranged to obtain:
and x6 is greater than 1；
Therefore, the average vehicle speed V1 has a greater influence on the traffic flow q1 than the average vehicle speed V2;
the formula (19) can be collated:
Figure BDA0001640352550000061
the above formula can be arranged to obtain x 6>1, therefore, the rate of link traffic flow has a greater impact on link capacity than the length of the link;
the formula (20) can be finished to obtain:
Figure BDA0001640352550000062
the reciprocal of this equation can be obtained:
Figure BDA0001640352550000063
thus, 1/x 7>1; and L has a greater impact on the capacity of the segment than t.
Further, the following sequence of treatment measures is determined according to the importance of the influence factors:
improving the traffic flow of the downstream intersection;
improving the traffic flow speed between adjacent intersections;
increasing the length of the road sections between adjacent intersections;
increasing transit time at downstream intersections;
and the traffic flow speed of the downstream intersection is improved.
The invention has the beneficial effects that: according to the invention, the current traffic jam factor and the importance degree of the factor can be dynamically determined according to the traffic information between adjacent intersections of the road, so that corresponding traffic management measures can be dynamically made according to the importance degree, the urban traffic jam problem can be effectively relieved and managed, the cost is reduced, and the adaptability is strong.
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The invention is further described below with reference to the following figures and examples:
FIG. 1 is a flow chart of the present invention.
Fig. 2 is a traffic diagram of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings of the specification:
the invention provides a road traffic jam treatment method, which comprises the following steps:
s1, acquiring road traffic information between two adjacent intersections, and calculating the average speed V1 of the road;
s2, acquiring intersection length D and traffic flow information q2 of a downstream intersection of two adjacent intersections, and calculating the average speed V2 of the downstream intersection, wherein V1 is greater than V2;
s3, acquiring information according to the step S1 and the step S2 to determine the real-time traffic flow q1 of the road section between the two adjacent intersections and the maximum traffic flow q between the two adjacent intersections l；
S4, determining influence factors on the real-time traffic flow q1 between two adjacent intersections, and judging the influence of each influence factor on the real-time traffic flow q 1; the influence factors on the real-time traffic flow q1 between two adjacent intersections comprise an average vehicle speed V1 between the two adjacent intersections, an average vehicle speed V2 at a downstream intersection, a traffic flow q2 of the downstream intersection and the time t for a vehicle to pass through the downstream intersection;
s5, respectively establishing functional relation models between the influence factors and the real-time traffic flow q1, solving a quotient between any two functional relation models, and then obtaining the importance sequence of the influence factors according to the solved quotient;
and S6, determining traffic jam treatment measures according to the importance sequence of the influence factors. By the method, the current traffic jam factor and the importance degree of the factor can be dynamically determined according to the traffic information between the adjacent intersections of the road, so that corresponding traffic management measures can be dynamically made according to the importance degree, the urban traffic jam problem can be effectively relieved and managed, the cost is reduced, and the adaptability is strong
In the present embodiment, the traffic flow q1 through the link between two adjacent intersections is calculated according to the following method:
establishing a traffic fluctuation model:
Figure BDA0001640352550000081
wherein q2 is the traffic flow of the downstream intersection of two adjacent intersections, K1 is the traffic flow density of the road section between two adjacent intersections, K2 is the traffic flow density of the downstream intersection of two adjacent intersections, W1 is the traffic wave speed and the aggregate wave speed, and W2 in fig. 2 is the evanescent wave speed;
calculating the vehicle queuing length l between two adjacent intersections:
l＝(v 2-w 1) t (2), wherein t is the time when the vehicle passes through a downstream intersection of two adjacent intersections;
establishing a traffic flow and vehicle speed relation model q ═ kv (3), wherein k is traffic flow density;
the united type (1), (2) and (3) obtains a traffic flow q1 of a link passing between two adjacent intersections:
Figure BDA0001640352550000082
furthermore, according to the model, the maximum traffic capacity between two adjacent intersections can be obtained
Figure BDA0001640352550000083
The method can accurately determine the traffic volume of the current target road section and the maximum traffic capacity of the current target road section, thereby providing accurate basis for regulation and control.
Wherein, step S5 includes: the functional relationship between the influencing factors and the real-time traffic flow q1 is modeled as follows:
Figure BDA0001640352550000091
Figure BDA0001640352550000092
Figure BDA0001640352550000093
Figure BDA0001640352550000094
Figure BDA0001640352550000095
the relations between q1 and other factors are adopted in the above formulas, wherein when the queuing length L between adjacent intersections reaches the limit value, the queuing length is L, and in order to simplify the calculation, the value of L in the above formulas is taken as the limit length L, so that the calculation is simplified, and the influence of the link length between adjacent intersections on the traffic flow q1 can be obtained;
the following equations (9) to (13) are obtained by mutually deriving:
Figure BDA0001640352550000097
Figure BDA0001640352550000102
Figure BDA0001640352550000103
Figure BDA0001640352550000104
Figure BDA0001640352550000105
the formula (14) is finished to obtain:
Figure BDA0001640352550000106
and x1 is greater than 1; at this time, the amount of traffic passing through the downstream intersection has a greater influence on the traffic flow q1 than the time of passing through the downstream intersection;
the formula (15) can be finished to obtain:
Figure BDA0001640352550000107
Figure BDA0001640352550000108
due to (v) 1-v 2)t+L>v 2q 2t, thus 1/x 2>1, at this time, the traffic flow q2 has a greater influence on the traffic flow q1 than the average vehicle speed V2;
the formula (16) can be finished to obtain:
Figure BDA0001640352550000111
due to dq 2[tv 1(v 1+dv 1-v 2)+Lv 1]>dv 1(Lq 2-v 2t), x3 is less than 1, at which time the traffic flow q2 at the downstream intersection has a greater effect on the traffic flow q1 than by the average vehicle speed V1;
the formula (17) can be arranged:
Figure BDA0001640352550000112
due to v 1t+L+v 2 2>v 2(2t+v 1)+tdv 2X5 is less than 1;
therefore, the time t of passage through the downstream intersection has a greater influence on the traffic flow q1 than the average vehicle speed V2 of passage through the intersection;
when formula (18) is collated, the following can be obtained:
Figure BDA0001640352550000113
the formula is rearranged to obtain:
and x6 is greater than 1;
therefore, the average vehicle speed V1 has a greater influence on the traffic flow q1 than the average vehicle speed V2;
the formula (19) can be collated:
Figure BDA0001640352550000115
the above formula can be arranged to obtain x 6>1, therefore, the rate of link traffic flow has a greater impact on link capacity than the length of the link;
the formula (20) can be finished to obtain:
Figure BDA0001640352550000121
the reciprocal of this equation can be obtained:
Figure BDA0001640352550000122
thus, 1/x 7>1; and L has a greater impact on the capacity of the segment than t.
Based on the above, the following sequence of treatment measures is determined according to the importance of the influence factors:
improving the traffic flow of the downstream intersection; for example, the speed upper limit of the intersection is increased, such as from 40km/h to 50km/h, or the green light time in the current passing direction of the intersection is prolonged;
improving the traffic flow speed between adjacent intersections; i.e., the average vehicle speed V1, the upper limit of the vehicle speed at the adjacent intersection is raised,
increasing the length of the road sections between adjacent intersections;
increasing transit time at downstream intersections;
and the traffic flow speed of the downstream intersection is improved.
The above-mentioned mid-upstream and downstream means that in the traveling direction, the intersection ahead of the vehicle is a downstream intersection, and the rear is an upstream intersection, as shown in fig. 2, the upstream intersection, and J2 is a downstream intersection; in the traffic fluctuation map in fig. 2, a is an evanescent wave generation point, b is a concentrated wave generation point, c is a point at which the maximum queue length occurs, and d is an evanescent wave end point.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.

Claims (3)

1. A road traffic jam treatment method is characterized by comprising the following steps: the method comprises the following steps:
s1, collecting road section traffic volume information between two adjacent road intersections and calculating the average speed V of the road section 1；
S2, acquiring intersection length D of downstream intersections in two adjacent intersections, length L between adjacent intersections and traffic flow information q 2And calculating the average speed V of the downstream intersection 2Wherein V is 1＞V 2；
S3, acquiring information according to the step S1 and the step S2 to determine real-time traffic flow q passing through a road section between two adjacent intersections 1；
S4, determining real-time traffic flow q between two adjacent intersections 1And judging the influence factors on the real-time traffic flow q 1The influence of (c);
for real-time traffic flow q between two adjacent intersections 1Includes the average vehicle speed V between two adjacent crossroads 1Average speed V at downstream intersection 2Traffic flow q at downstream intersection 2The time t when the vehicle passes through the downstream intersection and the length L of the road section between the adjacent intersections;
s5, respectively establishing influence factors and real-time traffic flow q 1The quotient between any two functional relation models is solved, and then the importance sequence of the influencing factors is obtained according to the solved quotient;
influencing factor and real-time traffic flow q 1The functional relationship between the following models is as follows:
Figure FDA0002113458610000011
Figure FDA0002113458610000012
Figure FDA0002113458610000022
Figure FDA0002113458610000023
the following equations (9) to (13) are obtained by mutually deriving:
Figure FDA0002113458610000024
Figure FDA0002113458610000025
Figure FDA0002113458610000026
Figure FDA0002113458610000028
Figure FDA0002113458610000029
Figure FDA00021134586100000210
the formula (14) is finished to obtain:
and x 1Greater than 1; at this time, the amount of traffic passing through the downstream intersection is larger than the time taken to pass through the downstream intersection to the traffic flow q 1The influence of (a) is greater;
the formula (15) can be finished to obtain:
Figure FDA0002113458610000033
due to (v) 1-v 2)t+L>v 2q 2t, thus 1/x 2>1, at this time, the traffic flowQuantity q 2Specific average vehicle speed V 2For traffic flow q 1The influence of (a) is greater;
the formula (16) can be finished to obtain:
due to dq 2[tv 1(v 1+dv 1-v 2)+Lv 1]>dv 1(Lq 2-v 2t)，x 3Less than 1, at which time the traffic flow q of the downstream crossing 2Passing average vehicle speed V 1For traffic flow q 1The influence of (a) is greater;
the formula (17) can be arranged:
Figure FDA0002113458610000035
due to v 1t+L+v 2 2>v 2(2t+v 1)+tdv 2X5 is less than 1;
therefore, the time t of passage through the downstream intersection is greater than the average vehicle speed V of passage through the intersection 2The influence on the traffic flow q1 is larger;
when formula (18) is collated, the following can be obtained:
the formula is rearranged to obtain:
Figure FDA0002113458610000042
and x 6Greater than 1;
therefore, the average vehicle speed V 1Specific average vehicle speed V 2To traffic flow q 1The influence of (a) is greater;
the formula (19) can be collated:
Figure FDA0002113458610000043
the above formula can be arranged to obtain x 6>1, therefore, the rate of link traffic flow has a greater impact on link capacity than the length of the link;
the formula (20) can be finished to obtain:
Figure FDA0002113458610000044
the reciprocal of this equation can be obtained:
Figure FDA0002113458610000045
thus, 1/x 7>1; and L has a greater impact on the segment capacity than t;
and S6, determining traffic jam treatment measures according to the importance sequence of the influence factors.
2. The method for managing road traffic congestion according to claim 1, wherein: calculating a traffic flow q through a link between two adjacent intersections according to the following method 1：
Establishing a traffic fluctuation model:
wherein q is 2For the traffic flow of a downstream one of two adjacent crossroads, k 1Is the traffic flow density, k, of the section between two adjacent crossroads 2Is the traffic flow density of a downstream one of two adjacent intersections, W 1The wave speed of the traffic waves;
calculating the vehicle queuing length l between two adjacent intersections:
l＝(v 2-w 1) t (2), wherein t is the time when the vehicle passes through a downstream intersection of two adjacent intersections;
establishing a traffic flow and vehicle speed relation model q ═ kv (3), wherein k is traffic flow density;
the united type (1), (2) and (3) obtains a traffic flow q1 of a link passing between two adjacent intersections:
Figure FDA0002113458610000052
3. the method for managing road traffic congestion according to claim 2, wherein: determining the following sequential treatment measures according to the importance of the influence factors:
improving the traffic flow of the downstream intersection;
improving the traffic flow speed between adjacent intersections;
increasing the length of the road sections between adjacent intersections;
increasing transit time at downstream intersections;
and the traffic flow speed of the downstream intersection is improved.
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CN110070721B (en) * 2019-05-29 2021-07-20 招商局重庆交通科研设计院有限公司 Road node traffic flow traffic time control method based on traffic fluctuation theory
CN110060480B (en) * 2019-05-29 2021-09-07 招商局重庆交通科研设计院有限公司 Method for controlling traffic flow running time of road section
CN110047292A (en) * 2019-05-29 2019-07-23 招商局重庆交通科研设计院有限公司 Road section congestion warning method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2287821A1 (en) * 2009-07-27 2011-02-23 Clarion Co., Ltd. Method and apparatus for determining traffic information and system for route calculation
JP2016095663A (en) * 2014-11-14 2016-05-26 オムロン株式会社 Residential number measurement device, signal control system, residential number measurement method, and residential number measurement program

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102646330B (en) * 2012-04-19 2014-07-02 浙江大学 Intelligent calculating method for traffic relevancy of adjacent road junctions
CN105070056A (en) * 2015-07-23 2015-11-18 合肥革绿信息科技有限公司 Intersection traffic congestion index calculation method based on floating car
CN105844927A (en) * 2016-04-06 2016-08-10 深圳榕亨实业集团有限公司 Novel control system and novel control method for sensing and controlling road intersection group signals
CN106128133A (en) * 2016-07-18 2016-11-16 合肥工业大学 A kind of based on traffic efficiency with the area traffic control method of network energy consumption
CN106991815B (en) * 2017-05-23 2020-03-10 招商局重庆交通科研设计院有限公司 Traffic jam control method
CN107945511A (en) * 2017-11-20 2018-04-20 中兴软创科技股份有限公司 A kind of computational methods of intersection delay time

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2287821A1 (en) * 2009-07-27 2011-02-23 Clarion Co., Ltd. Method and apparatus for determining traffic information and system for route calculation
JP2016095663A (en) * 2014-11-14 2016-05-26 オムロン株式会社 Residential number measurement device, signal control system, residential number measurement method, and residential number measurement program

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