CN114120654A - General calculation method for influence of number of vehicles running on road network traffic capacity - Google Patents
General calculation method for influence of number of vehicles running on road network traffic capacity Download PDFInfo
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- CN114120654A CN114120654A CN202210092017.9A CN202210092017A CN114120654A CN 114120654 A CN114120654 A CN 114120654A CN 202210092017 A CN202210092017 A CN 202210092017A CN 114120654 A CN114120654 A CN 114120654A
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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
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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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- 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
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Abstract
The invention discloses a general calculation method for influence of the number of running vehicles on road network traffic capacity, which comprises the following steps: the method comprises the steps of determining a system boundary by selecting an observation road range, obtaining design traffic capacity, converting the design traffic capacity into equivalent vehicles, obtaining the number and types of on-line vehicles through a network, converting the on-line equivalent vehicles, and calculating capacity entropy. Calculating the current traffic capacity; the information entropy method is utilized to determine the relation between the equivalent vehicles in the road network and the actual designed traffic capacity of the road network, and a quantitative calculation method is provided for the evaluation of the traffic capacity of the road network and the influence of various traffic control means on the traffic capacity, so that the influence of the vehicles on the traffic capacity of the road network can be well judged according to the randomness of an actual traffic system.
Description
Technical Field
The invention belongs to the technical field of vehicle traffic capacity calculation, and particularly relates to a general calculation method for influence of the number of vehicles running on a road on the traffic capacity of a road network.
Background
The vehicle is a generic term of "vehicle" and a unit of vehicle ". The vehicle refers to a vehicle that rotates on land with wheels; in the road traffic control theory, traffic capacity is usually described by flow rate in order to measure the load bearing capacity of a road when a vehicle travels on the road.
The existing method for calculating the influence of the traffic flow on the traffic capacity is lack of a quantitative calculation method, and due to the characteristic of randomness of vehicle positions of a traffic system, the information entropy method is not convenient to use to determine the relation between equivalent vehicles in a road network and the actual designed traffic capacity of the road network, so that a quantitative calculation method is provided for evaluation of the traffic capacity of the road network and the influence of various traffic control means on the traffic capacity, and therefore a general calculation method for calculating the influence of the number of vehicles running on the road network on the traffic capacity of the road network is provided.
Disclosure of Invention
The invention aims to provide a general calculation method for influence of the number of vehicles running on a road on the road network traffic capacity, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a general calculation method for influence of the number of vehicles running on a road on the road network traffic capacity comprises the following steps:
step (A), determining a system boundary by selecting an observation road range;
step (B), obtaining the design traffic capacity, and converting the design traffic capacity into equivalent vehicles;
step (C), acquiring the number and types of vehicles on the network through the network;
step (D), converting the equivalent vehicle on the net;
step (E), calculating the influence factor of the road network capacity;
and (F) calculating the traffic capacity entropy of the road network.
Preferably, in the step (B): the number of types of vehicles in the current observation range is n: vp,ViTotal number of type vehicles in the i: i (1, n), corresponding to a conversion factor: wi-Wn
Preferably, in step (B), the trafficability in each traveling direction is converted by using the design trafficability PCU.
Preferably, in step (B), the traffic capacity in each driving direction is converted into the equivalent vehicle number by the road area, wherein the traffic capacity in the direction is recorded as: rdI (1, n) is the number of lanes in the direction, and the calculation method is the same as the vehicle calculation method;。
preferably, in step (D), when observing the road network, the current vehicles are distributed in different directions, and to express this relationship, the on-line equivalent vehicles in different directions are calculated as follows, where the current observation range has n traveling directions, each direction is represented as D, i (1, n) is the number of lanes in that direction, and the on-line equivalent vehicles in that direction are represented as: vd,。
Preferably, in step (E), the vehicle-to-road-network traffic capacity impact is expressed as a reduction in road-network traffic capacity in the network, that is:in this sample space, the probability of the influence of the vehicle on the road network traffic capacity in the network is expressed as:
wherein t is a certain observation time, and Pt is a random variable.
Preferably, due to the randomness characteristic of the traffic system, according to the information entropy calculation method, the influence factors of the vehicle-to-road network traffic capacity on the network are expressed as follows:
wherein i is the number of observation points.
Compared with the prior art, the invention has the beneficial effects that:
the information entropy method is utilized to determine the relation between the equivalent vehicles in the road network and the actual designed traffic capacity of the road network, and a quantitative calculation method is provided for the evaluation of the traffic capacity of the road network and the influence of various traffic control means on the traffic capacity, so that the influence of the vehicles on the traffic capacity of the road network can be well judged according to the randomness of an actual traffic system.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: a general calculation method for influence of the number of vehicles running on a road on the road network traffic capacity comprises the following steps:
step (A), determining a system boundary by selecting an observation road range;
step (B), obtaining the design traffic capacity, and converting the design traffic capacity into equivalent vehicles;
step (C), acquiring the number and types of vehicles on the network through the network;
step (D), converting the equivalent vehicle on the net;
step (E), calculating the influence factor of the road network capacity;
and (F) calculating the traffic capacity entropy of the road network.
Preferably, in the step (B): the number of types of vehicles in the current observation range is n: vp,ViIn the i thTotal number of type vehicles: i (1, n), corresponding to a conversion factor: wi-Wn
Preferably, in step (B), the trafficability in each traveling direction is converted by using a design trafficability PCU, which is also referred to as a traffic volume.
Preferably, in step (B), the traffic capacity in each driving direction is converted into the equivalent vehicle number by the road area, wherein the traffic capacity in the direction is recorded as: rdI (1, n) is the number of lanes in the direction, and the calculation method is the same as the vehicle calculation method;。
preferably, in step (D), when observing the road network, the current vehicles are distributed in different directions, and to express this relationship, the on-line equivalent vehicles in different directions are calculated as follows, where the current observation range has n traveling directions, each direction is represented as D, i (1, n) is the number of lanes in that direction, and the on-line equivalent vehicles in that direction are represented as: vd,。
Preferably, in step (E), the vehicle-to-road-network traffic capacity impact is expressed as a reduction in road-network traffic capacity in the network, that is:in this sample space, the probability of the influence of the vehicle on the road network traffic capacity in the network is expressed as:
wherein t is a certain observation time, and Pt is a random variable.
Preferably, the randomness characteristic of the traffic system expresses the influence factors of the vehicle-to-road network traffic capacity on the network according to an information entropy calculation method as follows:
wherein i is the number of observation points.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A general calculation method for influence of the number of vehicles running on a road on the road network traffic capacity is characterized by comprising the following steps: the method comprises the following steps:
step (A), determining a system boundary by selecting an observation road range;
step (B), obtaining the design traffic capacity, and converting the design traffic capacity into equivalent vehicles;
step (C), acquiring the number and types of vehicles on the network through the network;
step (D), converting the equivalent vehicle on the net;
step (E), calculating the influence factor of the road network capacity;
and (F) calculating the traffic capacity entropy of the road network.
2. The method for calculating the influence of the number of the vehicles running on the road network trafficability according to claim 1, wherein the method comprises the following steps: step (B), setting: the number of types of vehicles in the current observation range is n: vp,ViTotal number of type vehicles in the i: i (1, n), corresponding to a conversion factor: wi-Wn
3. The method for calculating the influence of the number of the vehicles running on the road network trafficability according to claim 2, wherein the method comprises the following steps: and (B) converting the traffic capacity in each driving direction by adopting a design traffic capacity PCU.
4. The method for calculating the influence of the number of the vehicles running on the road network trafficability according to claim 2, wherein the method comprises the following steps: and (B) the traffic capacity in each driving direction is converted into the equivalent vehicle number through the road area, wherein the traffic capacity in the direction is recorded as: rdI (1, n) is the number of lanes in the direction, and the calculation method is the same as the vehicle calculation method;。
5. the method for calculating the influence of the number of the vehicles running on the road network trafficability according to claim 1, wherein the method comprises the following steps: and (D) when the road network is observed, the current vehicles are distributed according to different directions, in order to express the relation, the on-line equivalent vehicles in different directions are calculated according to the following method, the current observation range is provided with n driving directions, each direction is represented as D, i (1, n) is the number of lanes in the direction, and the on-line equivalent vehicles in the direction are represented as: vd, 。
6. The method for calculating the influence of the number of the vehicles running on the road network trafficability according to claim 1, wherein the method comprises the following steps:
step (E), the influence of the vehicle on the road network traffic capacity is expressed as the reduction of the road network traffic capacity on the network, namely:In this sample space, the probability of the influence of the vehicle on the road network traffic capacity in the network is expressed as:
wherein t is a certain observation time, and Pt is a random variable.
7. The method for calculating the influence of the number of the vehicles running on the road network trafficability generally according to claim 6, wherein the method comprises the following steps:
due to the randomness characteristic of the traffic system, according to the information entropy calculation method, the influence factors of the vehicle-to-road network traffic capacity on the network are expressed as follows:
wherein i is the number of observation points.
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