CN116665443A - Toughness improving method and system for highway network traffic system under major emergency - Google Patents

Toughness improving method and system for highway network traffic system under major emergency Download PDF

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Publication number
CN116665443A
CN116665443A CN202310642142.7A CN202310642142A CN116665443A CN 116665443 A CN116665443 A CN 116665443A CN 202310642142 A CN202310642142 A CN 202310642142A CN 116665443 A CN116665443 A CN 116665443A
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speed limit
traffic
influence area
event influence
traffic event
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杨珍珍
高自友
徐猛
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Beijing Jiaotong University
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Beijing Jiaotong University
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Priority to CN202310642142.7A priority Critical patent/CN116665443A/en
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • 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
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/40—Engine management systems

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

Abstract

The invention provides a method and a system for improving toughness of a road network traffic system under a major emergency, which belong to the technical field of road traffic operation management, and calculate actual traffic capacity of a most downstream section of a traffic event influence area, a predicted value of the number of vehicles which can pass through a speed limit position under the condition of no speed limit, and the actual traffic capacity of the speed limit position; judging whether the predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit is smaller than the actual traffic capacity of the speed limit position; calculating the number of vehicles detained in the traffic event influence area, and the queuing length and the congestion level of the traffic event influence area; judging whether the congestion level of the traffic event influence area meets the control requirement or not; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme. The invention makes up the shortages of a queuing length and congestion level calculation method of a traffic event influence area under the condition of lacking a given speed limit value and a speed limit position determination method under the condition of lacking the given speed limit value.

Description

Toughness improving method and system for highway network traffic system under major emergency
Technical Field
The invention relates to the technical field of road traffic operation management, in particular to a method and a system for improving toughness of a road network traffic system under a major emergency.
Background
Events such as serious traffic accidents, natural disasters and the like often cause the reduction of road traffic capacity and even the paralysis of the traffic of the whole road network. The method has the advantages that the upstream vehicles are controlled (for example, speed limit is set on an upstream road section of an event area, the number of vehicles entering the event influence area is reduced), and the number of traffic lanes in the traffic event influence area is controlled (for example, opposite lanes are used, emergency lanes are opened, temporary lanes are newly added, and the like), so that the toughness of a highway network traffic system can be effectively improved, the traffic capacity of a road is improved, and the congestion degree of the event influence area is relieved.
In the prior art, the invention patent application with the application number of 202010410943.7 proposes a highway dynamic speed limit control method based on secondary traffic accident prevention, and the occurrence probability value of the secondary accident after the primary accident occurs is calculated according to the collected traffic flow data and the environment data; determining a starting accident risk threshold value of variable speed limit and a target safe vehicle speed: comparing the occurrence probability value of the secondary accident with the starting accident risk threshold value, and judging whether to start a variable speed limit control strategy or not; performing coordination control on adjacent variable speed limit control road sections; issuing the speed limit value through a variable speed limit control system; after finishing the detection of one period, the variable speed limit control system automatically detects the traffic flow in the next period, and repeats the steps to determine whether the current expressway speed limit value needs to be adjusted. The invention patent application with the application number of 202011030968.0 proposes a secondary accident prevention dynamic lane and variable speed limit cooperative control method, after an accident occurs, a traffic center evaluates accident influence and upstream traffic state based on real-time traffic flow data acquired by a camera, controls variable signal marks at different sections to issue dynamic lane and variable speed limit cooperative control instructions, guides an upstream coming vehicle to reasonably change lanes in advance of an upstream free flow section and appropriately decelerates so as to reduce the influence of a downstream accident, thereby reducing the risk of the secondary accident caused by the downstream accident, guaranteeing traffic safety and improving urban expressway traffic capacity. The invention patent application with the application number of 202210517938.5 provides a dynamic speed limit control method for a bottleneck section of a highway in a mixed traffic flow environment, and a traffic event detection device or a construction operation reporting system is used for identifying the bottleneck section of the highway; setting a speed limit control period and a model prediction period; dividing a control road section according to the area where the bottleneck road section is located, and acquiring traffic flow data of the road section to be controlled of the expressway by using traffic flow monitoring equipment; optimizing a cell transmission model according to the collected traffic flow data and traffic flow characteristics of normal, speed-limiting and bottleneck road sections of the expressway in a mixed traffic flow environment to obtain an improved cell transmission model; and selecting an optimal speed limit value according to the improved cell transmission model, and releasing the optimal speed limit value through a dynamic speed limit control system.
The speed limit control is a method for improving the toughness of a highway network traffic system under a major emergency, and the prior art does not provide a method for calculating the queuing length and the congestion level of a traffic event influence area under the condition of a given speed limit value and a given speed limit position in a speed limit control scheme, and does not provide a method for determining the speed limit position under the condition of the given speed limit value.
Disclosure of Invention
The invention aims to provide a method and a system for improving the toughness of a highway network traffic system under a major emergency, which can calculate queuing length and congestion level under the condition of given speed limit value and speed limit position and evaluate the toughness improving effect of the highway network traffic system; under the condition of given speed limit value and maximum allowable queuing length, calculating speed limit position to make the upstream congestion degree of traffic event influence area meet the control requirement so as to solve at least one technical problem existing in the above-mentioned background technology.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in one aspect, the invention provides a method for improving toughness of a road network traffic system under a major emergency, comprising the following steps:
determining the number of traffic lanes and the traffic speed in the traffic event influence area according to the traffic event influence area, and calculating the actual traffic capacity of the most downstream section of the traffic event influence area;
setting a speed limit value and a speed limit position of a first speed limit area, and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value;
judging whether the predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit is smaller than the actual traffic capacity of the speed limit position; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the actual traffic capacity of the speed limit position;
calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; calculating the queuing length and the congestion level of a traffic event influence area according to the length of the vehicle and the minimum head space of the vehicle queuing;
judging whether the congestion level of the traffic event influence area meets the control requirement or not; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme.
Optionally, the actual traffic capacity of the first speed limit position is calculated according to the number of traffic lanes of the speed limit position and the speed limit value; by usingRepresenting the actual capacity of the first speed limit position in the t-th period:
in the method, in the process of the invention,indicating the number of passable lanes in the t-th period of the first speed limit zone,/for the first speed limit zone>Representing the speed limit of the first speed limit region, wherein rho and epsilon are constant coefficients;
by Q predict，t Indicating that the first speed limit position is available for the t-th period without speed limitPredictive value of number of vehicles passing throughThe predicted value of the number of vehicles driven into upstream of the traffic event influence area in the t period after speed limit is represented; judgment of Q predict，t Whether or not is less than->If yes, then->Equal to Q predict，t The method comprises the steps of carrying out a first treatment on the surface of the If no, then->Equal to-> The calculation formula of (2) is as follows:
by Q leave，t The actual traffic capacity of the most downstream section of the traffic event influence area in the t period is represented, namely the predicted value of the number of vehicles driven away from the traffic event influence area in the t period is:
Q leave，t ＝n open，t ·(ρV max，t +ε)；
wherein n is open，t The number of trafficable lanes in the traffic event influence area in the t period is represented by V max，t And representing the maximum passable speed predicted value of the traffic event influence area in the t period.
Optionally, calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; the queuing length of the traffic event influence area is calculated through the vehicle length and the minimum vehicle head distance of the vehicle queuing, and the formula is as follows:
wherein, I queue，t Representing a predicted value of queuing length in the t-th period, l car Representing standard vehicle length, l headway Represents the distance between the heads, n open，t Indicating the number of trafficable lanes in the traffic event influence area of the t period, n upstream，t Indicating the number of trafficable lanes at the upstream of the traffic event influence area in the t period, l close，t Representing the closed length of the traffic event influence area in the t period; q (Q) queue，t-1 And the number of vehicles detained in the traffic event influence area of the t-1 time period is represented.
Optionally, when the speed limit value and the upstream maximum allowable queuing length are given, the speed limit position setting method includes: and calculating the number of vehicles which are allowed to pass through at the maximum upstream according to the maximum allowed queuing length of the traffic event influence area.The calculation formula of the number of vehicles allowed to pass through at the maximum of the upstream when the maximum allowed queuing length of the traffic event influence area is given is as follows:
in the method, in the process of the invention,representing the maximum allowable queuing length of traffic event impact zone, l car Indicating length of vehicle, l headway Represents the head space when queuing, n open，t Indicating the number of trafficable lanes in the traffic event influence area of the t period, n upstream，t Indicating the number of trafficable lanes at the upstream of the traffic event influence area in the t period, l close，t Representing the closed length of the traffic event influence area in the first death period; q (Q) queue，t-1 Representing traffic at time t-1The event impact zone detains the number of vehicles; q (Q) leave，t And the actual traffic capacity of the most downstream section of the traffic event influence area in the t period is represented, namely the predicted value of the number of vehicles driving away from the traffic event influence area in the t period.
Alternatively, the actual capacity of the first speed limit location when the speed limit value is givenThe calculation formula is as follows:
in the method, in the process of the invention,representing a first speed limit position speed limit value, < >>Indicating the number of travelable lanes at the first speed limit position.
Alternatively, whenAt the time, the number of vehicles in the first speed limit zone is equal to +.> When->At the time, the number of vehicles in the first speed limit zone is equal to +.>Under the condition of setting the speed limiting value, the length l of the first speed limiting area limit_1 The calculation formula is as follows:
in the method, in the process of the invention,a predicted value of the number of vehicles entering upstream of the first speed limit area in the t-th period is represented; l (L) car Representing a standard vehicle length; l (L) min_run And the minimum safe driving distance in the speed limit area is represented.
In a second aspect, the present invention provides a system for improving toughness of a road network traffic system in the event of a major emergency, comprising:
the first calculation module is used for determining the number of traffic lanes and the traffic speed of the traffic event influence area according to the traffic event influence area and calculating the actual traffic capacity of the most downstream section of the traffic event influence area;
the second calculation module is used for setting a speed limit value and a speed limit position of the first speed limit area and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value;
the judging module is used for judging whether the predicted value of the number of the vehicles passing through the speed limiting position under the condition of no speed limiting is smaller than the actual traffic capacity of the speed limiting position; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the actual traffic capacity of the speed limit position;
the third calculation module is used for calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; calculating the queuing length and the congestion level of a traffic event influence area according to the length of the vehicle and the minimum head space of the vehicle queuing;
the determining module is used for judging whether the congestion level of the traffic event influence area meets the control requirement; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme.
In a third aspect, the present invention provides a non-transitory computer readable storage medium for storing computer instructions which, when executed by a processor, implement a method for improving toughness of a road network traffic system under a major emergency as described above.
In a fourth aspect, the present invention provides a computer program product comprising a computer program for implementing the method of improving the toughness of a road network traffic system under significant emergencies as described above, when the computer program is run on one or more processors.
In a fifth aspect, the present invention provides an electronic device, comprising: a processor, a memory, and a computer program; wherein the processor is coupled to the memory and the computer program is stored in the memory, the processor executing the computer program stored in the memory when the electronic device is operating, to cause the electronic device to execute instructions for implementing the method for improving toughness of a road network traffic system under significant emergency as described above.
The invention has the beneficial effects that: the queuing length and congestion level calculation method under the condition of the given speed limit value and the speed limit position determination method under the condition of the given speed limit value effectively make up the defects of the queuing length and congestion level calculation method under the condition of the lack of the given speed limit value and the speed limit position and the lack of the speed limit position determination method under the condition of the lack of the given speed limit value in the prior art.
The advantages of additional aspects of the invention will be set forth in part in the description which follows, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for improving toughness of a road network traffic system under a major emergency according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a traffic system toughness improvement scheme evaluation flow according to an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements throughout or elements having like or similar functionality. The embodiments described below by way of the drawings are exemplary only and should not be construed as limiting the invention.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, and/or groups thereof.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means 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 present invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
In order that the invention may be readily understood, a further description of the invention will be rendered by reference to specific embodiments that are illustrated in the appended drawings and are not to be construed as limiting embodiments of the invention.
It will be appreciated by those skilled in the art that the drawings are merely schematic representations of examples and that the elements of the drawings are not necessarily required to practice the invention.
Example 1
In this embodiment 1, first, a system for improving toughness of a road network traffic system under a major emergency is provided, which includes: the first calculation module is used for determining the number of traffic lanes and the traffic speed of the traffic event influence area according to the traffic event influence area and calculating the actual traffic capacity of the section at the most downstream of the traffic event influence area. The second calculation module is used for setting a speed limit value and a speed limit position of the first speed limit area and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; and calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value. The judging module is used for judging whether the predicted value of the number of the vehicles passing through the speed limiting position under the condition of no speed limiting is smaller than the actual traffic capacity of the speed limiting position; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the traffic event influence area at the upstream is equal to the actual traffic capacity of the speed limit position. The third calculation module is used for calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; and calculating the queuing length and the congestion level of the traffic event influence area according to the vehicle length and the minimum vehicle head distance of the vehicle queuing. The determining module is used for judging whether the congestion level of the traffic event influence area meets the control requirement; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme.
In this embodiment 1, based on the above system, a method for improving toughness of a road network traffic system under a major emergency is implemented, including: and determining the number of traffic lanes and the traffic speed in the traffic event influence area according to the traffic event influence area by using a first calculation module, and calculating the actual traffic capacity of the section at the most downstream of the traffic event influence area. Setting a speed limit value and a speed limit position of a first speed limit area by using a second calculation module, and calculating a passing vehicle number predicted value of the speed limit position under the condition of no speed limit; and calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value. Judging whether the predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit is smaller than the actual traffic capacity of the speed limit position by using a judging module; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the traffic event influence area at the upstream is equal to the actual traffic capacity of the speed limit position. Using a third calculation module to calculate the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; and calculating the queuing length and the congestion level of the traffic event influence area according to the vehicle length and the minimum vehicle head distance of the vehicle queuing. Finally, judging whether the congestion level of the traffic event influence area meets the control requirement or not by using a judging module; if yes, determining a speed limit value and a speed limit position in the traffic system toughness lifting scheme to obtain the lifting scheme.
The actual traffic capacity of the first speed limit position is calculated according to the number of traffic lanes of the speed limit position and the speed limit value; by usingRepresenting the actual capacity of the first speed limit position in the t-th period:
in the method, in the process of the invention,indicating the number of passable lanes in the t-th period of the first speed limit zone,/for the first speed limit zone>Representing the speed limit of the first speed limit region, wherein rho and epsilon are constant coefficients;
by Q predict，t Predictive value of number of vehicles which can pass for the t period of time of the first speed limit position under no speed limit conditionThe predicted value of the number of vehicles driven into upstream of the traffic event influence area in the t period after speed limit is represented; judgment of Q predict，t Whether or not is less than->If yes, then->Equal to Q predict，t The method comprises the steps of carrying out a first treatment on the surface of the If no, then->Equal to-> The calculation formula of (2) is as follows:
by Q leave，t Representing actual traffic of the most downstream section of the traffic incident influence area in the t periodThe traveling capacity, i.e. the predicted value of the number of vehicles driving out of the traffic event influence area in the t period:
Q leave，t ＝n open，t ·(ρV max，t +ε)；
wherein n is open，t The number of trafficable lanes in the traffic event influence area in the t period is represented by V max，t And representing the maximum passable speed predicted value of the traffic event influence area in the t period.
Calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; the queuing length of the traffic event influence area is calculated through the vehicle length and the minimum vehicle head distance of the vehicle queuing, and the formula is as follows:
wherein, I queue，t Representing a predicted value of queuing length in the t-th period, l car Representing standard vehicle length, l headway Represents the distance between the heads, n open，t Indicating the number of trafficable lanes in the traffic event influence area of the t period, n upstream，t Indicating the number of trafficable lanes at the upstream of the traffic event influence area in the t period, l close，t Representing the closed length of the traffic event influence area in the t period; q (Q) queue，t-1 And the number of vehicles detained in the traffic event influence area of the t-1 time period is represented.
When the speed limit value and the upstream maximum allowable queuing length are given, the speed limit position setting method comprises the following steps: and calculating the number of vehicles which are allowed to pass through at the maximum upstream according to the maximum allowed queuing length of the traffic event influence area.The calculation formula of the number of vehicles allowed to pass through at the maximum of the upstream when the maximum allowed queuing length of the traffic event influence area is given is as follows:
in the method, in the process of the invention,representing the maximum allowable queuing length of traffic event impact zone, l car Indicating length of vehicle, l headway Represents the head space when queuing, n open，t Indicating the number of trafficable lanes in the traffic event influence area of the t period, n upstream，t Indicating the number of trafficable lanes at the upstream of the traffic event influence area in the t period, l close，t Representing the closed length of the traffic event influence area in the t period; q (Q) queue，t-1 Representing the number of vehicles detained in a traffic event influence area in a t-1 period; q (Q) leave，t And the actual traffic capacity of the most downstream section of the traffic event influence area in the t period is represented, namely the predicted value of the number of vehicles driving away from the traffic event influence area in the t period.
When the speed limit value is given, the actual traffic capacity of the first speed limit positionThe calculation formula is as follows:
in the method, in the process of the invention,representing a first speed limit position speed limit value, < >>Indicating the number of travelable lanes at the first speed limit position.
When (when)At the time, the number of vehicles in the first speed limit zone is equal to +.>When (when)At the time, the number of vehicles in the first speed limit zone is equal to +.>Under the condition of setting the speed limiting value, the length l of the first speed limiting area limit_1 The calculation formula is as follows:
in the method, in the process of the invention,a predicted value of the number of vehicles entering upstream of the first speed limit area in the t-th period is represented; l (L) car Representing a standard vehicle length; l (L) min_run And the minimum safe driving distance in the speed limit area is represented.
Example 2
As shown in fig. 1, in embodiment 2, the provided method for improving toughness of a road network traffic system under a major emergency event includes: (1) Setting a speed limit value and a speed limit position, and evaluating whether the toughness lifting scheme meets the control requirement; (2) Setting a speed limit value and a maximum allowable queuing length, and calculating the position of a speed limit area.
Scheme one: setting a speed limit value and a speed limit position, and evaluating whether the toughness lifting scheme meets the control requirement
The first step, determining the number of traffic lanes and the traffic speed in the traffic event influence area according to the traffic event influence area, and calculating the actual traffic capacity of the section at the most downstream of the traffic event influence area.
Setting a speed limit value and a speed limit position of a first speed limit area, and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; and calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value.
And thirdly, judging whether the predicted value of the number of the vehicles passing through the speed limiting position under the condition of no speed limiting is smaller than the actual traffic capacity of the speed limiting position. If yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the traffic event influence area at the upstream is equal to the actual traffic capacity of the speed limit position.
And step four, calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area. And calculating the queuing length and the congestion level of the traffic event influence area according to the vehicle length and the minimum vehicle head distance of the vehicle queuing.
And fifthly, judging whether the congestion level of the traffic event influence area meets the control requirement. If yes, determining a traffic system toughness improvement scheme (comprising a speed limit value and a speed limit position); if not, resetting the speed limit value and the speed limit position of the first speed limit area, and reevaluating until the congestion level of the traffic event influence area meets the control requirement. Such as the evaluation flow shown in fig. 2.
The actual traffic capacity of the first speed limit position is calculated according to the number of traffic lanes of the speed limit position and the speed limit value. By usingThe actual traffic capacity of the first speed limit position in the t period is represented by the following calculation formula:
in the method, in the process of the invention,indicating the number of passable lanes in the t-th period of the first speed limit zone,/for the first speed limit zone>Representing the speed limit of the first speed limit zone, ρ and ε are constant coefficients.
By Q predict，t Representing a first limitPredictive value of number of vehicles which can pass in the t period of speed position without speed limitAnd the predicted value of the number of vehicles driven into the upstream of the traffic event influence area in the t period after the speed limit is expressed. Judgment of Q predict，t Whether or not is less than->If yes, then->Equal to Q predict，t The method comprises the steps of carrying out a first treatment on the surface of the If no, then->Equal to-> The calculation formula of (2) is as follows:
by Q leave，t The actual traffic capacity of the most downstream section of the traffic event influence area in the t period is represented, namely the predicted value of the number of vehicles driving away from the traffic event influence area in the t period is calculated according to the following formula:
Q leave，t ＝n open，t ·(ρV max，t +ε)
wherein n is open，t The number of trafficable lanes in the traffic event influence area in the t period is represented by V max，t And (5) representing a maximum passable speed predicted value of the traffic event influence area of the t-th period, wherein ρ and ε are constant coefficients.
And calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area. And calculating the queuing length of the traffic event influence area through the vehicle length and the minimum vehicle head distance of the vehicle queuing. The traffic event impact area queuing length calculation formula is as follows:
wherein, I queue，t Representing a predicted value of queuing length in the t-th period, l car Representing standard vehicle length, l headway Represents the distance between the heads, n open，t Indicating the number of trafficable lanes in the traffic event influence area of the t period, n upstream，t Indicating the number of trafficable lanes at the upstream of the traffic event influence area in the t period, l close，t Representing the closed length of the traffic event impact zone at the t-th period. Q (Q) queue，t-1 And the number of vehicles detained in the traffic event influence area of the t-1 time period is represented.
According to the queuing length, calculating the congestion level of the traffic event influence area, wherein the specific determination method comprises the following steps:
when 0 < l queue，t ＜L 1 The congestion level is slightly congested;
when L 1 ≤l queue，t ＜L 2 The congestion level is light congestion;
when L 2 ≤l queue，t ＜L 3 The congestion level is medium congestion;
when L 3 ≤l queue，t ＜L 4 The congestion level is severe congestion;
when l queue，t ≥L 4 The congestion level is extremely congested.
And judging whether the congestion level of the traffic event influence area meets the control requirement. If so, determining a traffic system toughness improvement scheme (e.g., speed limit value, speed limit position); if not, resetting the speed limit value and the speed limit position of the first speed limit area, and reevaluating until the congestion level of the traffic event influence area meets the control requirement.
After the speed limit value and the speed limit position of the first speed limit area at the upstream of the traffic event influence area are set, the speed limit of other upstream speed limit areas (a second speed limit area, a third speed limit area and a fourth speed limit area) is increased according to the speed of 10km/h or 20km/h, and the speed limit positions are set at intervals of 2 km.
Scheme II: method for setting speed limit value and determining speed limit position
The first speed limit zone upstream of the traffic event is used for controlling the traffic event influence zone flow, so that the length of the first speed limit zone can be calculated according to the maximum allowable queuing length of the traffic event influence zone and the number of vehicles which can be released. The maximum allowable queuing length may be set to 0 meter, 500 meters, 1000 meters, 2000 meters, 5000 meters, etc. The speed limit position setting method is described below when the speed limit value and the upstream maximum allowable queuing length are given.
And calculating the number of vehicles which are allowed to pass through at the maximum upstream according to the maximum allowed queuing length of the traffic event influence area.The calculation formula of the number of vehicles (standard vehicles) allowed to pass through at the maximum of the upstream maximum when the maximum allowed queuing length of the traffic event influence area is given is as follows:
in the method, in the process of the invention,representing the maximum allowable queuing length of traffic event impact zone, l car Indicating length of vehicle, l headway Represents the head space when queuing, n open，t Indicating the number of trafficable lanes in the traffic event influence area of the t period, n upstream，t Indicating the number of trafficable lanes at the upstream of the traffic event influence area in the t period, l close，t Representing the closed length of the traffic event impact zone at the t-th period. Q (Q) queue，t -1 represents the number of vehicles detained in the traffic event impact zone of the t-1 period. Q (Q) leave，t Representing the actual traffic capacity of the most downstream section of the traffic event influence area at the t period, namely the driving-away traffic event shadow at the t periodPredicted vehicle number for the sound zone.
When the speed limit value is given, the actual traffic capacity of the first speed limit positionThe calculation formula is as follows:
in the method, in the process of the invention,representing a first speed limit position speed limit value, < >>Indicating the number of travelable lanes at the first speed limit position. ρ and ε are constant coefficients.
When (when)At the time, the number of vehicles in the first speed limit zone is equal to +.>When (when)At the time, the number of vehicles in the first speed limit zone is equal to +.>Under the condition of setting the speed limiting value, the length l of the first speed limiting area limit_1 The calculation formula is as follows:
in the method, in the process of the invention,represents the t time periodA speed limit zone is provided upstream of the vehicle number prediction value. l (L) car Representing a standard vehicle length. l (L) min_run Representing a minimum safe driving distance (e.g., 200 meters) within the speed limit zone.
After the speed limit value and the speed limit position of the first speed limit area at the upstream of the traffic event influence area are set, the speed limit of other upstream speed limit areas (a second speed limit area, a third speed limit area and a fourth speed limit area … …) is increased according to the speed of 10km/h or 20km/h, and the speed limit positions are arranged at intervals of 2 km.
In summary, in this embodiment, aiming at the problem of improving the toughness of the road network traffic system under a major emergency, the invention provides a method for improving the toughness of the road network traffic system under a major emergency, which comprises a scheme evaluation method under the conditions of a given speed limit value and a speed limit position, a queuing length and congestion level calculation method under the conditions of the given speed limit value and the speed limit position, and a speed limit position determination method under the conditions of the given speed limit value, so that the defects of the prior art that the queuing length and congestion level calculation method of the traffic event influence area under the conditions of the given speed limit value and the speed limit position are absent and the speed limit position determination method under the conditions of the absence of the given speed limit value are effectively overcome.
Example 3
Embodiment 3 provides a non-transitory computer readable storage medium for storing computer instructions, which when executed by a processor, implement a method for improving toughness of a road network traffic system under a major emergency, the method comprising:
determining the number of traffic lanes and the traffic speed in the traffic event influence area according to the traffic event influence area, and calculating the actual traffic capacity of the most downstream section of the traffic event influence area;
setting a speed limit value and a speed limit position of a first speed limit area, and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value;
judging whether the predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit is smaller than the actual traffic capacity of the speed limit position; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the actual traffic capacity of the speed limit position;
calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; calculating the queuing length and the congestion level of a traffic event influence area according to the length of the vehicle and the minimum head space of the vehicle queuing;
judging whether the congestion level of the traffic event influence area meets the control requirement or not; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme.
Example 4
Embodiment 4 provides a computer program product comprising a computer program for implementing a method for improving toughness of a road network traffic system under significant emergencies, the method comprising:
determining the number of traffic lanes and the traffic speed in the traffic event influence area according to the traffic event influence area, and calculating the actual traffic capacity of the most downstream section of the traffic event influence area;
setting a speed limit value and a speed limit position of a first speed limit area, and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value;
judging whether the predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit is smaller than the actual traffic capacity of the speed limit position; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the actual traffic capacity of the speed limit position;
calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; calculating the queuing length and the congestion level of a traffic event influence area according to the length of the vehicle and the minimum head space of the vehicle queuing;
judging whether the congestion level of the traffic event influence area meets the control requirement or not; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme.
Example 5
Embodiment 5 provides an electronic apparatus including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the instructions for implementing the method for improving the toughness of the road network traffic system under the serious emergency, and the method comprises the following steps:
determining the number of traffic lanes and the traffic speed in the traffic event influence area according to the traffic event influence area, and calculating the actual traffic capacity of the most downstream section of the traffic event influence area;
setting a speed limit value and a speed limit position of a first speed limit area, and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value;
judging whether the predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit is smaller than the actual traffic capacity of the speed limit position; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the actual traffic capacity of the speed limit position;
calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; calculating the queuing length and the congestion level of a traffic event influence area according to the length of the vehicle and the minimum head space of the vehicle queuing;
judging whether the congestion level of the traffic event influence area meets the control requirement or not; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it should be understood that various changes and modifications could be made by one skilled in the art without the need for inventive faculty, which would fall within the scope of the invention.

Claims (10)

1. The method for improving the toughness of the road network traffic system under the serious emergency is characterized by comprising the following steps of:
determining the number of traffic lanes and the traffic speed in the traffic event influence area according to the traffic event influence area, and calculating the actual traffic capacity of the most downstream section of the traffic event influence area;
setting a speed limit value and a speed limit position of a first speed limit area, and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value;
judging whether the predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit is smaller than the actual traffic capacity of the speed limit position; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the actual traffic capacity of the speed limit position;
calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; calculating the queuing length and the congestion level of a traffic event influence area according to the length of the vehicle and the minimum head space of the vehicle queuing;
judging whether the congestion level of the traffic event influence area meets the control requirement or not; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme.
2. The method for improving the toughness of a road network traffic system under a major emergency according to claim 1, wherein the actual traffic capacity of the first speed limit position is calculated according to the number of traffic lanes of the speed limit position and the speed limit value; by usingRepresenting the actual capacity of the first speed limit position in the t-th period:
in the method, in the process of the invention,indicating the number of passable lanes in the t-th period of the first speed limit zone,/for the first speed limit zone>Representing the speed limit of the first speed limit region, wherein rho and epsilon are constant coefficients;
by Q predict,t Predictive value of number of vehicles which can pass for the t period of time of the first speed limit position under no speed limit conditionThe predicted value of the number of vehicles driven into upstream of the traffic event influence area in the t period after speed limit is represented; judgment of Q predict,t Whether or not is less than->If yes, then->Equal to Q predict,t The method comprises the steps of carrying out a first treatment on the surface of the If no, then->Equal to-> The calculation formula of (2) is as follows:
by Q leave,t The actual traffic capacity of the most downstream section of the traffic event influence area in the t period is represented, namely the predicted value of the number of vehicles driven away from the traffic event influence area in the t period is:
Q leave,t ＝n open,t ·(ρV max,t +ε)；
wherein n is open,t The number of trafficable lanes in the traffic event influence area in the t period is represented by V max,t And representing the maximum passable speed predicted value of the traffic event influence area in the t period.
3. The method for improving the toughness of the road network traffic system under the major emergency according to claim 2, wherein the number of vehicles detained in the traffic event influence area is calculated according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into the traffic event influence area at the upstream; the queuing length of the traffic event influence area is calculated through the vehicle length and the minimum vehicle head distance of the vehicle queuing, and the formula is as follows:
wherein, I queue,t Representing a predicted value of queuing length in the t-th period, l car Representing standard vehicle length, l headway Represents the distance between the heads, n open,t Indicating the number of trafficable lanes in the traffic event influence area of the t period, n upstream,t Indicating the number of trafficable lanes at the upstream of the traffic event influence area in the t period, l close,t Representing the closed length of the traffic event influence area in the t period; q (Q) quere,t-1 And the number of vehicles detained in the traffic event influence area of the t-1 time period is represented.
4. The method for improving toughness of a road network traffic system under a major emergency according to claim 3, wherein the speed limit position setting method comprises, when given a speed limit value and an upstream maximum allowable queuing length: and calculating the number of vehicles which are allowed to pass through at the maximum upstream according to the maximum allowed queuing length of the traffic event influence area.The calculation formula of the number of vehicles allowed to pass through at the maximum of the upstream when the maximum allowed queuing length of the traffic event influence area is given is as follows:
in the method, in the process of the invention,representing the maximum allowable queuing length of traffic event impact zone, l car Indicating length of vehicle, l headway Represents the head space when queuing, n open,t Indicating the number of trafficable lanes in the traffic event influence area of the t period, n upstream,t Indicating the number of trafficable lanes at the upstream of the traffic event influence area in the t period, l close,t Representing the closed length of the traffic event influence area in the t period; q (Q) queue,t-1 Vehicle for indicating traffic event influence area retention in t-1 periodA number; q (Q) leave,t And the actual traffic capacity of the most downstream section of the traffic event influence area in the t period is represented, namely the predicted value of the number of vehicles driving away from the traffic event influence area in the t period.
5. The method of claim 4, wherein the actual capacity of the first speed limit location is determined based on the actual capacity of the first speed limit location when the speed limit value is givenThe calculation formula is as follows:
in the method, in the process of the invention,representing a first speed limit position speed limit value, < >>Indicating the number of travelable lanes at the first speed limit position.
6. The method for improving toughness of highway network traffic system under serious emergency according to claim 5, wherein whenAt the time, the number of vehicles in the first speed limit zone is equal to +.> When (when)At the time, the number of vehicles in the first speed limit zone is equal to +.>Under the condition of setting the speed limiting value, the length l of the first speed limiting area limit_1 The calculation formula is as follows:
in the method, in the process of the invention,a predicted value of the number of vehicles entering upstream of the first speed limit area in the t-th period is represented; l (L) car Representing a standard vehicle length; l (L) min_run And the minimum safe driving distance in the speed limit area is represented.
7. The utility model provides a highway network traffic system toughness promotion system under major incident which characterized in that includes:
the first calculation module is used for determining the number of traffic lanes and the traffic speed of the traffic event influence area according to the traffic event influence area and calculating the actual traffic capacity of the most downstream section of the traffic event influence area;
the second calculation module is used for setting a speed limit value and a speed limit position of the first speed limit area and calculating a predicted value of the number of vehicles passing through the speed limit position under the condition of no speed limit; calculating the actual traffic capacity of the speed limit position according to the number of the traffic lanes of the speed limit position and the speed limit value;
the judging module is used for judging whether the predicted value of the number of the vehicles passing through the speed limiting position under the condition of no speed limiting is smaller than the actual traffic capacity of the speed limiting position; if yes, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the predicted value of the number of vehicles passing through the speed limiting position under the condition of no speed limiting; if not, the predicted value of the number of vehicles entering the upstream of the traffic event influence area is equal to the actual traffic capacity of the speed limit position;
the third calculation module is used for calculating the number of vehicles detained in the traffic event influence area according to the actual traffic capacity of the most downstream section of the traffic event influence area and the predicted value of the number of vehicles driven into by the upstream of the traffic event influence area; calculating the queuing length and the congestion level of a traffic event influence area according to the length of the vehicle and the minimum head space of the vehicle queuing;
the determining module is used for judging whether the congestion level of the traffic event influence area meets the control requirement; if yes, determining a speed limit value and a speed limit position in the traffic system toughness improvement scheme.
8. A computer program product comprising a computer program for implementing the method of improving the toughness of a road network traffic system under a significant emergency as defined in any one of claims 1 to 6 when run on one or more processors.
9. A non-transitory computer readable storage medium storing computer instructions which, when executed by a processor, implement the method of improving toughness of a road network traffic system under a major emergency as claimed in any one of claims 1 to 6.
10. An electronic device, comprising: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the instructions for implementing the method for improving the toughness of the road network traffic system under the serious emergency as set forth in any one of claims 1 to 6.
CN202310642142.7A 2023-06-01 2023-06-01 Toughness improving method and system for highway network traffic system under major emergency Pending CN116665443A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117953692A (en) * 2024-03-26 2024-04-30 江西交通职业技术学院 Computer-integrated networked traffic control system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117953692A (en) * 2024-03-26 2024-04-30 江西交通职业技术学院 Computer-integrated networked traffic control system

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