Vehicle motion simulation analysis method in urban traffic scene

A technology of urban traffic and analysis methods, applied in the field of computer graphics, can solve the problems of slow acceleration, trouble, and failure to achieve the expected effect of the car behind, and achieve the effect of improving applicability

Pending Publication Date: 2020-07-31
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Treiber et al. summarized an intelligent car-following model based on a safe distance. This model is suitable for simulating vehicle movement on the expressway. It is necessary to maintain a large acceleration when driving, and the expected effect cannot be achieved when using this model to simulate vehicle motion
In response to this problem, Lei Peng considered using acceleration control items and deceleration control items to solve the problem of too slow acceleration of the vehicle behind when the vehicle starts, but this method is cumbersome, and the acceleration of the vehicle behind changes greatly when the vehicle changes lanes at low speed. Does not conform to the motion behavior of vehicles in urban traffic scenes

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  • Vehicle motion simulation analysis method in urban traffic scene
  • Vehicle motion simulation analysis method in urban traffic scene
  • Vehicle motion simulation analysis method in urban traffic scene

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Embodiment Construction

[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, specifically analyze the motion behavior of the vehicle, model the vehicle motion behavior, and illustrate it in conjunction with figures and formulas, and finally test the feasibility of the model in the present invention.

[0033] The first step is to analyze the characteristics of the vehicle motion and obtain the composition of the vehicle motion model. In real urban traffic scenarios, drivers usually maintain a certain speed to follow the vehicle ahead, and sometimes change lanes for reasons such as steering or partial overtaking. According to these characteristics, the behavior of vehicles on the road is divided into two categories: car-following behavior and lane-changing behavior, so that the vehicle motion model is divided into car-following model and lane-changing model. Vehicles usually drive on the road with car-following behavior, such as figure 1 As shown, wh...

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Abstract

The invention discloses a vehicle motion simulation analysis method in an urban traffic scene. The intelligent following model based on the safety distance is improved, the characteristics that the vehicle safety distance is small and the following vehicle starts to follow the front vehicle to accelerate in an urban traffic scene can be better simulated by adding an acceleration adjustment item toa vehicle acceleration formula, and the applicability of the model is improved. A double-lane model based on acceleration analysis is improved, the lane changing process of a vehicle is evaluated tojudge whether lane changing behaviors can be executed or not, and the rationality of the proposed model is verified through experiments.

Description

technical field [0001] The invention belongs to the field of computer graphics, relates to the simulation of group movement, in particular to a method for simulating and analyzing vehicle movement in urban traffic scenes. Background technique [0002] In recent years, with the rapid development of urban traffic, the traffic volume has continued to increase, and problems such as traffic jams and vehicle accidents have become more and more obvious. These problems have seriously hindered the development of urban economy and society, and reduced people's living standards and quality of life. At present, modern computer simulation technology is used to model and simulate the complex dynamic traffic system of the city, especially the simulation of vehicle movement to study how to plan scientifically and rationally for urban traffic, reduce traffic accidents and congestion, and ensure the quality of travel. attracted people's attention. [0003] At present, most of the research on...

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Application Information

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IPC IPC(8): G06Q10/06G06F30/20
CPCG06Q10/06393
Inventor 杜金莲周昊王丹金雪云
Owner BEIJING UNIV OF TECH
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