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A lane resource allocation method for a two-lane expressway in an intelligent network environment

A technology of resource allocation and expressway, applied in traffic control systems, instruments, traffic flow detection of road vehicles, etc., can solve problems such as mutual influence, and achieve the effect of improving operating efficiency, rational allocation of lane resources, and improving utilization efficiency.

Active Publication Date: 2022-05-03
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In this context, the mixed driving of two different vehicles will affect each other and cause new traffic problems

Method used

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  • A lane resource allocation method for a two-lane expressway in an intelligent network environment
  • A lane resource allocation method for a two-lane expressway in an intelligent network environment
  • A lane resource allocation method for a two-lane expressway in an intelligent network environment

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Embodiment Construction

[0032] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0033] A lane resource allocation method for a two-lane expressway in an intelligent network environment, such as figure 1 As shown, the steps are as follows:

[0034] Step 1) count the number of ramps in the lane resource allocation area of ​​the two-lane expressway, denoted as N-1;

[0035] Step 2) divide the lane resource allocation area space of the two-lane expressway into N sections;

[0036] Step 3) divide the lane resource allocation area time of the two-lane expressway into M sections, wherein M is an integer greater than or equal to 1;

[0037] Step 4) collecting road traffic information data;

[0038] Step 5) determine lane resource allocation strategy;

[0039] Step 6) Determine the implementation area length and transition section of the lane resource allocation strategy.

[0040] Preferably, in the above step 2), the star...

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Abstract

The invention discloses a lane resource allocation method for a two-lane expressway in an intelligent network connection environment. Count the number of ramps in the lane resource allocation area of ​​the two-lane expressway, denoted as N-1; divide the space of the lane resource allocation area of ​​the two-lane expressway into N sections; divide the time of the lane resource allocation area of ​​the two-lane expressway into M sections; Collect road traffic information data; determine the lane resource allocation strategy; determine the implementation area length and transition section of the lane resource allocation strategy. The invention realizes the control and management of expressway lanes by segmenting the expressway area that requires lane resource allocation in time and space, and determining the lane resource allocation strategy for the proportion of intelligent networked vehicles in each segment.

Description

technical field [0001] The invention belongs to the field of road traffic lane control, and in particular relates to an expressway lane resource allocation method. Background technique [0002] The core difficulties and pain points in the transportation field are frequent traffic congestion and frequent traffic accidents. Traffic congestion and traffic safety issues have attracted the attention of the whole society. In order to alleviate or even solve the above problems, many transportation scholars and industry enterprises have made great efforts and proposed various new methods and technologies. Among them, intelligent networked transportation technology is considered to be an important technical means to solve traffic problems in the future. [0003] Intelligent network connection refers to the integration of the two directions of future vehicle and transportation development, that is, intelligence and network connection. By carrying advanced sensors, controllers, actua...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0104G08G1/0137
Inventor 华雪东王炜王昊赵德高青源
Owner SOUTHEAST UNIV
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