CN106991817A - Multistage road network road section traffic volume capacity determining methods - Google Patents
Multistage road network road section traffic volume capacity determining methods Download PDFInfo
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- CN106991817A CN106991817A CN201710368945.2A CN201710368945A CN106991817A CN 106991817 A CN106991817 A CN 106991817A CN 201710368945 A CN201710368945 A CN 201710368945A CN 106991817 A CN106991817 A CN 106991817A
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- 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
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Abstract
A kind of multistage road network road section traffic volume capacity determining methods that the present invention is provided, comprise the following steps：S1. the road distribution situation in road network is obtained, including：Road network is divided into m section, represents that section is gathered with X, j-th of section xj is divided into n slope section, slope section set is represented with Y, length of grade set is represented with Z, S2. calculates each section of jth and reaches that road link speed Qj, S3. during maximum effect calculate the capacity Q of whole road network according to road link speed Qj respectively：By means of the invention it is possible to the traffic capacity to multistage road network is accurately calculated and draws accurate result, and it can improve and use scope.
Description
Technical Field
The invention relates to a traffic analysis method, in particular to a method for determining traffic capacity of road sections of a multi-level road network.
Background
In the traffic field, traffic capacity of a road network is one of key elements for analyzing road network balance and traffic coordination, in the prior art, a method for determining the traffic capacity of the road network comprises a space-time consumption method, a linear programming method, a cut-set method, a traffic distribution simulation method, a supply analysis method, a narrow-sense road network capacity analysis method and the like, but the conventional method is generally based on a theoretical model, has small limitation and application range, and the final analysis result is inaccurate.
Therefore, in order to solve the above technical problems, it is necessary to provide a new method.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method for determining traffic capacity of a road segment of a multi-level road network, which can accurately calculate the traffic capacity of the multi-level road network and obtain an accurate result, and can improve a use range.
The invention provides a method for determining the traffic capacity of a road section of a multi-level road network, which comprises the following steps:
s1, acquiring a road distribution condition in a road network, comprising the following steps:
dividing a road network into m road segments, and representing a road segment set by X, wherein X is (X1, X2, …, xj, … xm), and j is 1,2, …, m, and the road network is divided according to different design speeds;
dividing the j-th road segment xj into n slope segments, wherein Y represents a slope segment set, and Z represents a slope length set, wherein Y is (Y1, Y2, …, yk, … yn), Z is (Z1, Z2, …, zk, … zn), and k is 1,2, …, n;
s2, respectively calculating the road section capacity Qj when each j road section achieves the maximum efficacy, wherein:
wherein,representing the optimal vehicle density of each k-th slope section when the road is at the maximum efficacy;
s3, calculating the capacity Q of the whole road network according to the road section capacity Qj:
further, in step S2, the optimum vehicle density is determined by the following method
S21, establishing a first traffic efficiency model:
k is derived for both sides of the equation of the first traffic performance model:
when in useThe traffic efficiency of the road is the maximum, and at the moment, the following results can be obtained:where kj is the blocking density, vfα and β are the weights of the traffic density and the interval average speed in the traffic flow respectively, which are the free flow speed;
s22, establishing a second traffic efficiency model:
and respectively deriving k from two ends of the equation of the second traffic efficiency model:
when in useThe traffic efficiency of the road is the maximum, and at the moment, the following results can be obtained:where kj is the blocking density, vfFor free flow velocity, kmDensity at maximum flow;
s23, forming a value range according to the density values k obtained by the first traffic efficiency model and the second traffic efficiency model, namelyTaking values within the value range, namely:
further, the blocking density kj is determined by:
s210, road parameters including the friction coefficient phi of the jth road section are obtainedjAverage vehicle lengthThe speed of the tracking vehicle is V2, the speed of the leading vehicle is V1, the minimum distance between the front end and the tail end of the leading vehicle when the tracking vehicle stops, and the gradient Sj of the j section;
s211, establishing a minimum vehicle tail space model of the tracking vehicle and the front vehicle under the condition that the tracking vehicle does not collide with the front vehicle, and calculating the minimum vehicle tail space d of the tracking vehicle and the front vehicle according to road parameters, wherein:
wherein tr is the response time of the tracking vehicle;
s213, calculating the blocking density kj according to the following formula:
further, in step S210, the average vehicle length is acquired by the following method
Acquiring the vehicle type c of the j section and the length l of the q type vehicleqAnd the proportion p of the qth vehicle to the total traffic volume of the jth road sectionqAnd calculating the average vehicle length according to the following formula
The invention has the beneficial effects that: according to the invention, the attributes of the road network and the attributes of the vehicles are fully considered in the analysis process of the traffic capacity of the multilevel road network, so that the accuracy of the final calculation result of the traffic capacity can be effectively ensured, and the road network is subjected to corresponding segmentation processing in the analysis process, so that the adaptability of the method is effectively improved, the limitations of the existing method are effectively removed, and accurate data support can be provided for traffic management.
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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.
Detailed Description
Fig. 1 is a flowchart of the present invention, and as shown in the figure, the method for determining traffic capacity of a multi-level road network section provided by the present invention includes the following steps:
s1, acquiring a road distribution condition in a road network, comprising the following steps:
dividing a road network into m road segments, and representing a road segment set by X, wherein X is (X1, X2, …, xj, … xm), and j is 1,2, …, m, and the road network is divided according to different design speeds;
dividing the j-th road segment xj into n slope segments, wherein Y represents a slope segment set, and Z represents a slope length set, wherein Y is (Y1, Y2, …, yk, … yn), Z is (Z1, Z2, …, zk, … zn), and k is 1,2, …, n;
s2, respectively calculating the road section capacity Qj when each j road section achieves the maximum efficacy, wherein:
wherein,representing the optimal vehicle density of each k-th slope section when the road is at the maximum efficacy;
s3, calculating the capacity Q of the whole road network according to the road section capacity Qj:according to the invention, the attributes (namely the grade, the gradient and the friction coefficient of the road) of the road network and the attributes of the vehicles are fully considered in the analysis process of the traffic capacity of the multilevel road network, and the analysis is carried out from the practical angle of the road network, so that the accuracy of the final calculation result of the traffic capacity can be effectively ensured, and the road network is correspondingly processed in a segmentation manner in the analysis process, so that the adaptability of the invention is effectively improved, the method is particularly suitable for the analysis of the complex traffic capacity of the road network, the limitation of the existing method is effectively removed, and the accurate data support can be provided for traffic management.
In the present embodiment, in step S2, the optimum vehicle density is determined by the following method
S21, establishing a first traffic efficiency model:
k is derived for both sides of the equation of the first traffic performance model:
when in useThe traffic efficiency of the road is the maximum, and at the moment, the following results can be obtained:where kj is the blocking density, vfα and β are the weights of the traffic density and the interval average speed in the traffic flow respectively, which are the free flow speed;
s22, establishing a second traffic efficiency model:
and respectively deriving k from two ends of the equation of the second traffic efficiency model:
when in useThe traffic efficiency of the road is the maximum, and at the moment, the following results can be obtained:where kj is the blocking density, vfFor free-flow speed, i.e. design speed, k, under different road grade conditionsmDensity at maximum flow;
s23, forming a value range according to the density values k obtained by the first traffic efficiency model and the second traffic efficiency model, namelyTaking values within the value range, namely:wherein the optimal density value of the ith road section isα and β are the weight occupied by the traffic density k and the interval average vehicle speed v in the traffic flow, if the weight of the average vehicle speed is large, the weight of the traffic density is reduced, and if the weight of the average vehicle speed is small, the weight of the traffic density is increased.
In this embodiment, the blocking density kj is determined by the following method:
s210, road parameters including the friction coefficient phi of the jth road section are obtainedjAverage vehicle lengthThe speed of the tracking vehicle is V2, the speed of the leading vehicle is V1, the minimum distance between the front end and the tail end of the leading vehicle when the tracking vehicle stops, and the gradient Sj of the j section;
s211, establishing a minimum vehicle tail space model of the tracking vehicle and the front vehicle under the condition that the tracking vehicle does not collide with the front vehicle, and calculating the minimum vehicle tail space d of the tracking vehicle and the front vehicle according to road parameters, wherein:
wherein tr is the response time of the tracking vehicle;
s213, calculating the blocking density kj according to the following formula:by the method, the traffic jam density can be accurately determined, and the accuracy of the result is facilitated.
In the present embodiment, in step S210, the average vehicle length is obtained by the following methodAcquiring the vehicle type c of the j section and the length l of the q type vehicleqAnd the proportion p of the qth vehicle to the total traffic volume of the jth road sectionqAnd calculating the average vehicle length according to the following formulaBy the method, the average vehicle length can be calculated quickly and accurately, and guarantee is provided for subsequent calculation.
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 (4)
1. A method for determining the traffic capacity of road sections of a multi-level road network is characterized by comprising the following steps: the method comprises the following steps:
s1, acquiring a road distribution condition in a road network, comprising the following steps:
dividing a road network into m road segments, and representing a road segment set by X, wherein X is (X1, X2, …, xj, … xm), and j is 1,2, …, m, and the road network is divided according to different design speeds;
dividing the j-th road segment xj into n slope segments, wherein Y represents a slope segment set, and Z represents a slope length set, wherein Y is (Y1, Y2, …, yk, … yn), Z is (Z1, Z2, …, zk, … zn), and k is 1,2, …, n;
s2, respectively calculating the road section capacity Qj when each j road section achieves the maximum efficacy, wherein:
wherein,representing the optimal vehicle density of each k-th slope section when the road is at the maximum efficacy;
s3, calculating the capacity Q of the whole road network according to the road section capacity Qj:
2. the method for determining the traffic capacity of a road segment of a multi-level road network according to claim 1, wherein: in step S2, the optimum vehicle density is determined by the following method
S21, establishing a first traffic efficiency model:
k is derived for both sides of the equation of the first traffic performance model:
when in useThe traffic efficiency of the road is the maximum, and at the moment, the following results can be obtained:wherein,kj is the blocking density, vfα and β are the weights of the traffic density and the interval average speed in the traffic flow respectively, which are the free flow speed;
s22, establishing a second traffic efficiency model:
and respectively deriving k from two ends of the equation of the second traffic efficiency model:
when in useThe traffic efficiency of the road is the maximum, and at the moment, the following results can be obtained:where kj is the blocking density, vfFor free flow velocity, kmDensity at maximum flow;
s23, forming a value range according to the density values k obtained by the first traffic efficiency model and the second traffic efficiency model, namely Taking values within the value range, namely:
3. the method of determining traffic capacity of road segments of multi-level road network according to claim 2, characterized in that: the blocking density kj is determined by the following method:
s210, road parameters including the friction coefficient phi of the jth road section are obtainedjAverage vehicle lengthThe speed of the tracking vehicle is V2, the speed of the leading vehicle is V1, the minimum distance between the front end and the tail end of the leading vehicle when the tracking vehicle stops, and the gradient Sj of the j section;
s211, establishing a minimum vehicle tail space model of the tracking vehicle and the front vehicle under the condition that the tracking vehicle does not collide with the front vehicle, and calculating the minimum vehicle tail space d of the tracking vehicle and the front vehicle according to road parameters, wherein:
wherein tr is the response time of the tracking vehicle;
s213, calculating the blocking density kj according to the following formula:
4. the method of determining multi-level road network segment traffic capacity according to claim 3, characterized by: in step S210, the average vehicle length is acquired by the following method
Acquiring the vehicle type c of the j section and the length l of the q type vehicleqAnd the proportion p of the qth vehicle to the total traffic volume of the jth road sectionqAnd calculating the average vehicle length according to the following formula
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Cited By (3)
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| CN110782178A (en) * | 2019-11-01 | 2020-02-11 | 北京航空航天大学 | Traffic network planning aid decision-making method and device |
| CN111599177A (en) * | 2020-05-19 | 2020-08-28 | 重庆市交通规划研究院 | Method for determining road network capacity |
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Cited By (5)
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| CN110782178A (en) * | 2019-11-01 | 2020-02-11 | 北京航空航天大学 | Traffic network planning aid decision-making method and device |
| CN111599177A (en) * | 2020-05-19 | 2020-08-28 | 重庆市交通规划研究院 | Method for determining road network capacity |
| CN111599177B (en) * | 2020-05-19 | 2022-10-28 | 重庆市交通规划研究院 | Method for determining road network capacity |
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