Evaluation and analysis of comprehensive performance of a brake pedal based on an improved analytic hierarchy process

Gu, Yuxiang; Xie, Junbo; Liu, Hongji; Yang, Yang; Tan, Yudian; Chen, Liqing

doi:10.1177/0954407020987735

Cited by 13 publications

(4 citation statements)

References 20 publications

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“…In the process of designing the fuzzy brake controller, the input variables select speed deviation e v and acceleration deviation e a ; the variation of the brake pedal stroke Δ s represents the output variable [ 20 ]. If the pedal does not change, the pedal stroke is 0%; the maximum pedal stroke is 100%, meaning that the brake pedal is fully depressed.…”

Section: Methodsmentioning

confidence: 99%

Exploration of the intelligent control system of autonomous vehicles based on edge computing

Ming

2023

PLoS ONE

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The development of science and technology continues to promote the progress of society. The current intelligence and automation technology has become widely used in society. To this end, this study proposes a vehicle intelligent control system based on edge computing and deep learning to promote the far-reaching development of intelligent technology and automation technology. First, control algorithms are used to design a switch control strategy combining accelerator and brake. Second, a fuzzy control algorithm based on vehicle tracking and trajectory deviation is designed to enhance the vehicle’s stability during steering. A Convolutional Neural Network (CNN) is used to recognize the car’s surroundings as it drives. In addition, accelerator and brake controllers and vehicle tracking and trajectory deviation controllers are connected to the vehicle’s wiring. Then, the data transmission function based on edge computing is applied to the vehicle’s intelligent control system. Finally, trajectory tracking and emergency braking experiments are carried out on the control system to verify the practicability and reliability of the method and the effectiveness of CNN. The simulation experiments are carried out on two states of medium speed and high speed to verify the effectiveness of the longitudinal anti-collision system of the test vehicle when the target vehicle suddenly decelerates. The results demonstrate that the driving speed of the experimental vehicle is set to 50km/h, the distance between the experimental vehicle and the target vehicle is 40m, and the target vehicle in front drives at a constant speed of 50km/h. The target vehicle in front of the car suddenly decelerates in 5 seconds, and the speed drops to 0 after 5 seconds. The actual distance between the experimental vehicle and the target vehicle is very close to the expected safe space, and the experimental vehicle is in a safe state during this process. When the experimental vehicle starts to decelerate, the experimental vehicle adopts emergency deceleration to ensure a safe distance between the two vehicles. At this time, the car enters the second-level early warning state, but driving safety can still be guaranteed. It is advisable to maintain low-speed emergency braking in this state. This study provides creative research ideas for the follow-up research on the intelligent control system of uncrewed vehicles and contributes to the development of intelligence and automation technology.

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Section: Methodsmentioning

confidence: 99%

Exploration of the intelligent control system of autonomous vehicles based on edge computing

Ming

2023

PLoS ONE

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“…According to the knowledge and experience of experts in the corresponding fields, the subjective method compares, assigns, and calculates the importance of the evaluation indicators to determine the weight. Examples include the analytical hierarchy process (AHP) [3], the expert survey method (Delphi) [4], and the order relationship analysis (G1) method [5]. Subjective weight depends too much on expert experience.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Evaluation of Vehicle Intelligent Barrier Avoidance Function under Special Roads Based on G1-CRITIC

et al. 2023

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As one of the core functions of the autonomous driving of vehicles under special roads, the intelligent barrier avoidance function plays an important role in improving traffic efficiency and ensuring driving safety. Scientific, reasonable, and comprehensive evaluation methods can provide the basis for intelligent vehicles before their use. The comprehensive evaluation index system is constructed for the avoidance ability and avoidance mode of intelligent vehicles against different barriers. The weights of qualitative indicators that are difficult to quantify are determined based on the order relation analysis (G1) method, and the weights of quantitative indicators are determined based on the CRITIC (criteria importance though intercriteria correlation) method. The overall system is comprehensively and quantitatively evaluated through the grey correlation degree method. The correctness of the evaluation method is verified via testing. According to the comprehensive evaluation method studied, the comprehensive evaluation result of the test vehicle is obtained. The intelligent barrier avoidance function of negative barriers is superior to that of positive barriers. The integrated evaluation method can obtain evaluation results of vehicle performance in different test scenarios.

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“…Two categories of weight calculation methods are commonly used: subjective and objective. Subjective weighting methods include the analytic hierarchy process ( Zha et al, 2018 ; Zeng et al, 2022 ), G1 method ( Gu et al, 2021 ), and Delphi algorithm ( Dawood et al, 2021 ). Objective weighting methods include the entropy weight method ( Zeng, Gu & Peng, 2023 ), CRITIC weight method Yang et al (2020) and coefficient of variation method ( Guo, Xu & Shao, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive evaluation for the sustainable development of fresh agricultural products logistics enterprises based on combination empowerment-TOPSIS method

Sun,

Hu,

Liu

2023

PeerJ Computer Science

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To solve the problems of environmental pollution and resource waste caused by the rapid development of cold chain logistics of fresh agricultural products and improve the competitiveness of logistics enterprises in the market, a performance evaluation method of cold chain logistics enterprises based on the combined empowerment-TOPSIS was proposed. Firstly, from the five dimensions of cold supply chain capacity, service quality, economic efficiency, informatization degree and development ability, a comprehensive evaluation system of logistics enterprises’ sustainable development is constructed, which consists of 16 indicators, such as storage and preservation capacity, distribution accuracy, and equipment input rate. Then, G1 method and entropy weight method are used to calculate the subjective and objective weights of the evaluation indicators, and the combined weights are calculated with the objective of minimizing the deviation of the subjective and objective weighted attributes. Finally, the TOPSIS method is used to calculate the comprehensive evaluation indicators. The results show that the established performance evaluation model can effectively evaluate the performance of fresh agricultural products logistics enterprises and provide theoretical basis for enterprise logistics management.

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Evaluation and analysis of comprehensive performance of a brake pedal based on an improved analytic hierarchy process

Cited by 13 publications

References 20 publications

Exploration of the intelligent control system of autonomous vehicles based on edge computing

Exploration of the intelligent control system of autonomous vehicles based on edge computing

A Comprehensive Evaluation of Vehicle Intelligent Barrier Avoidance Function under Special Roads Based on G1-CRITIC

Comprehensive evaluation for the sustainable development of fresh agricultural products logistics enterprises based on combination empowerment-TOPSIS method

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