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In-transit traveler emotion change-based driving path decision-making method

A technology of driving paths and decision-making methods, applied in neural learning methods, instruments, data processing applications, etc., can solve the problem of not taking into account the emotional perception of travelers

Active Publication Date: 2021-07-30
HEBEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, in the field of unmanned driving, the path planning is mainly carried out by comprehensively considering the curvature and arc length of the path, so as to realize the optimization of path selection, avoid collisions with other vehicles and maintain a safe distance, but it does not face travelers in real time. Emotional perception of traffic flow state is taken into account

Method used

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  • In-transit traveler emotion change-based driving path decision-making method
  • In-transit traveler emotion change-based driving path decision-making method
  • In-transit traveler emotion change-based driving path decision-making method

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Embodiment 1

[0036] The driving path decision-making method based on the mood change of the traveler on the way of the present embodiment (see Figure 1-3 ), including the following:

[0037] Step 1. Design the traffic flow state evaluation experiment based on the emotional changes of the travelers on the way. Collect the physiological data and facial expressions of the subjects during the experiment. A first-class traffic flow state and a second-class traffic flow state;

[0038] Recruit 89 volunteers as subjects, aged between 20-45 years old, all have C1 driver's license, and the driving experience is more than 2 years, including 62 male subjects and 27 female subjects, who are required to be tested The participants were in good health, and did not drink alcohol or strenuous exercise within 24 hours before the experiment; the traffic flow state evaluation experiment based on the emotional changes of the travelers on the way was realized on the simulation platform, and the simulation platf...

Embodiment 2

[0066] The difference between this embodiment and Embodiment 1 is that step 1 has carried out the traffic flow state evaluation experiments under different driving environments during peak hours and flat peak hours respectively. Different driving environments include two-way four-lane urban typical road sections during peak hours. , two-way six-lane urban typical road section during peak hours, two-way eight-lane urban typical road section during peak hour, two-way four-lane urban typical road section during off-peak time, two-way six-lane urban typical road section during off-peak time, and cities during off-peak time A typical road section has two-way eight lanes, and the rest of the steps are the same as in Embodiment 1.

[0067] The driving route decision model constructed in this embodiment can be used by the traffic management department to allocate traffic flow, which is conducive to traffic evacuation on congested road sections; when the output result of the driving rou...

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Abstract

The invention relates to an in-transit traveler emotion change-based driving path decision-making method, which comprises the following steps: step 1, designing a traffic flow state evaluation experiment based on in-transit traveler emotion change, and collecting physiological data and facial expressions of a subject; dividing the traffic flow state into two types according to whether the subject can generate negative emotion or not; step 2, obtaining two types of traffic flow state image data sets corresponding to different driving environments; step 3, dividing a training set and a test set; step 4, constructing a convolutional neural network; step 5, taking the training set as input of a convolutional neural network, taking the emotion result as output of the convolutional neural network to train the convolutional neural network, obtaining driving path decision models, and obtaining one driving path decision model in each driving environment; and step 6, applying the driving path decision model to path decision. According to the method, the emotion perception of the traveler is used as the basis of the driving path decision, the user experience and comfort are improved, and adverse emotions are avoided.

Description

technical field [0001] The invention belongs to the technical field of unmanned driving, and specifically relates to a driving path decision-making method based on emotional changes of travelers on the way. Background technique [0002] With the improvement of people's living standards, the number of cars has also risen sharply, and the problem of urban road traffic congestion has become a common problem. Traffic congestion will cause drivers to have bad emotions such as irritability and anger, and there will be phenomena such as decreased concentration and increased fatigue. Keeping a relaxed and happy mood all the time can also effectively alleviate the congestion situation, improve the traffic efficiency of vehicles, and ensure the safety of driving. [0003] In the process of driving a car, the driver mainly obtains vehicle information and traffic status information through the driving recorder, constantly perceives the external traffic environment, and then chooses an ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06Q10/04G06N3/04G06N3/08
CPCG06Q10/04G06N3/08G06V40/174G06N3/045
Inventor 朱敏清石鹏崔洪军李晰晔彭亚荣周巍闽雪峰杨昱泽李霞马新卫
Owner HEBEI UNIV OF TECH