Method for designing emulational underground road alignment and transverse clear distance based on multiple intelligent agents

A technology of underground road and design method, which is applied in the direction of calculation, instrument, electric digital data processing, etc., to achieve the effect of reducing cost and improving driving safety

A technology of underground road and design method, which is applied in the direction of calculation, instrument, electric digital data processing, etc., to achieve the effect of reducing cost and improving driving safety

CN102609599AActive Publication Date: 2012-07-25TIANJIN MUNICIPAL ENG DESIGN & RES INST
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  • Method for designing emulational underground road alignment and transverse clear distance based on multiple intelligent agents
  • Method for designing emulational underground road alignment and transverse clear distance based on multiple intelligent agents
  • Method for designing emulational underground road alignment and transverse clear distance based on multiple intelligent agents

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Experimental program
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Embodiment Construction

[0040] The invention mainly establishes a multi-agent model of a large vehicle based on the SOAR cognitive framework, simulates and analyzes traffic behavior and traffic flow characteristics under different road alignments and lateral clearances, and proposes an optimized design recommendation scheme for underground road alignments and lateral clearances .

[0041] 6.1.1 Analysis of the Impact of General Road Sections on Driver Behavior

[0042] The main influences of road segment alignment on driver behavior are as follows:

[0043] 1) The long straight road will make the driver hypnotized during the driving process, the reaction will become slow, and the attention will be distracted, which will lead to misjudgment during driving;

[0044] 2) A flat curve with a suitable radius can give the driver a proper sense of tension and is conducive to traffic safety. An unreasonable flat curve design will make the driver guess and drive in tension, making them easily fatigued, overl...

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Abstract

The invention relates to road traffic safety and design and aims at providing an ideal method for designing road alignment and transverse clear distance. For achieving the purpose, the technical scheme is that the method for designing the emulational underground road alignment and the transverse clear distance based on multiple intelligent agents adopts an SOAR cognitive framework to model driver intelligent agents driving in underground roads and comprises working memory, long-term memory, a procedural operator selecting method and a learning mechanism sub-module. The method for designing emulational underground road alignment and transverse clear distance based on the multiple intelligent agents is mainly applied to the design of the road alignment and the transverse clear distance.

Description

technical field [0001] The invention relates to road traffic safety and design, in particular to an underground road alignment and lateral clear distance design method based on multi-agent simulation. Background technique [0002] The reality shows that due to its closedness and the limitation of avoiding space, the frequency of traffic safety accidents on underground roads is several times that of ordinary roads. The severity is very high and it is easy to cause subsequent accidents. The design of underground road traffic engineering, which comprehensively considers the environment and other aspects, is considered to be one of the important measures to solve the problem of highway underground road traffic safety. Among the various means and methods involved in underground road traffic engineering, the optimal design of underground road alignment and lateral clearance can help drivers make more effective driving behavior decisions and reduce driving anxiety and stress. One ...

Claims

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Application Information

Patent Timeline
25 Jul 2012
Publication
CN102609599A
IPC
G06F17/50
Inventors
白子建; 徐建平