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Simulation method of on-ramp traffic flow model based on vehicle-to-vehicle interaction potential

A technology of traffic flow model and simulation method, which is applied in the field of on-ramp traffic flow model simulation, and can solve the problems of inability to clearly describe random phenomena and limited ability to describe on-ramp systems

Inactive Publication Date: 2020-05-01
SOUTHWEST JIAOTONG UNIV +2
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

Due to the uncertainty of these factors, deterministic modeling methods and probabilistic modeling methods using constant values ​​cannot clearly describe random phenomena
[0006] When the above on-ramp traffic flow models consider the behavior of on-ramp vehicles entering the main road, they usually use a constant entry probability or only consider the state of vehicles on the upstream main road closest to the on-ramp. These models describe the stochastic on-ramp system limited ability

Method used

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  • Simulation method of on-ramp traffic flow model based on vehicle-to-vehicle interaction potential
  • Simulation method of on-ramp traffic flow model based on vehicle-to-vehicle interaction potential
  • Simulation method of on-ramp traffic flow model based on vehicle-to-vehicle interaction potential

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Embodiment Construction

[0033] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0034] The present invention introduces the interaction potential between vehicles, and describes the random vehicle density situation at the upstream and downstream of the ramp to A lead with B lead The impact of drivers' on-ramp decisions.

[0035] The invention uses the random interaction potential to describe the impact of the random factor of vehicle density upstream and downstream of the on-ramp on the driver's decision-making on the ramp, and establishes an on-ramp system model based on the interaction potential between vehicles. Through the study of this paper, the impact of the random density of upstream and downstream vehicles on the on-ramp system can be obtai...

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Abstract

The invention relates to an on-ramp traffic flow model simulation method based on the interaction potential between vehicles. Considering the interaction between the upstream and downstream vehicles of the on-ramp and the vehicles going through the on-ramp, a traffic flow model of the on-ramp system based on the interaction potential between vehicles is proposed. Compared with the previous models, the new model focuses on the influence of vehicle density on the on-ramp upstream and downstream of the on-ramp on the driver's on-ramp decision-making.

Description

technical field [0001] The invention relates to an on-ramp traffic flow model simulation method based on the interaction potential between vehicles. Background technique [0002] In modern society, traffic problems are particularly serious. Highway congestion due to heavy traffic demands is a frequent occurrence. Traffic flow theory is an important tool that can reveal the operation status and evolution of the traffic system from multiple perspectives. Its research helps to grasp the basic laws of the traffic system, guide the management and control of the traffic system, and reduce the losses caused by traffic accidents and traffic jams. In recent years, the research on vehicle traffic flow characteristics has obtained rich research results, and researchers have established a large number of traffic flow models. Theoretical models of traffic flow can be divided into: 1. Macroscopic model: describe traffic flow as a compressible fluid form composed of vehicles; 2. Mesoscop...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06F30/20G06F111/10
CPCG08G1/0145G06F2111/10G06F30/20
Inventor 张晗宋鹏云张继业郑伟范杨继斌
Owner SOUTHWEST JIAOTONG UNIV
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