A Safety Collision Avoidance Algorithm Based on Comprehensive Characteristics

Y J Zhang,G H Li,M Wang,A Y Zhan,Y Hu,M Yu,L S Ke,F Du,J Wang

doi:10.1155/2020/1616420

Y J Zhang, G H Li + Show 7 more

Open Access

https://doi.org/10.1155/2020/1616420

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Journal: Complexity	Publication Date: Mar 17, 2020
Citations: 8	License type: CC BY 4.0

Affiliation: East China Jiaotong University, Guangzhou University

Abstract

Aiming at the requirements of vehicle safety collision avoidance system, a safety collision avoidance algorithm based on environmental characteristics and driver characteristics is proposed. By analyzing the relationship between collision avoidance time and the environment, a safety time model is established. In the established safety time model, parameters based on driver characteristics are added, which increases the flexibility of the algorithm. The algorithm can adapt to more different driving conditions and give appropriate warning thresholds. After simulation and comparison with other algorithms, the algorithm proposed in this paper can satisfied the requirements of reducing vehicle collision risk. The effectiveness and feasibility of the algorithm are verified, and the safety of vehicle driving can be improved.

Highlights

Since entering the 21st century, the number of vehicles has increased exponentially, and the number of vehicles and drivers has further increased [1]
Some research studies have been made on the collision warning algorithm. e existing collision warning algorithms are mainly divided into two categories, namely, the Safety Time Algorithm and the Safety Distance Algorithm [3]. e safety time logic algorithm compares the collision time between the two workshops with the safety time threshold to determine the safety status. e safety time algorithm mainly uses Time to Collision (TTC) as the research object [4]. e safety distance model refers to the minimum distance between the vehicle and the obstacle, which is the distance the vehicle needs to maintain to avoid the collision with the obstacle under the current conditions of the vehicle [5]
Based on the collision avoidance algorithm of collision avoidance time TTC, this paper proposes a safety collision avoidance algorithm that adapts to environmental characteristics and driver characteristics. e algorithm proposed in this paper takes driver characteristics and environment

Summary

Introduction

Since entering the 21st century, the number of vehicles has increased exponentially, and the number of vehicles and drivers has further increased [1]. E safety time algorithm mainly uses Time to Collision (TTC) as the research object [4]. Differences can be complex, time varying, and unpredictable; the existing collision avoidance algorithm is not suitable for direct application [10]. It is imperative to design a collision avoidance algorithm that takes into account the environment and driver characteristics to suit the needs of different situations [11]. Based on the collision avoidance algorithm of collision avoidance time TTC, this paper proposes a safety collision avoidance algorithm that adapts to environmental characteristics and driver characteristics. E algorithm proposed in this paper takes driver characteristics and environment. This algorithm has higher adaptability and flexibility under complex conditions, which is of great help to improve traffic safety and efficiency. This algorithm has higher adaptability and flexibility under complex conditions, which is of great help to improve traffic safety and efficiency. e algorithm is simulated by MATLAB and VISSIUM, and the effectiveness of the algorithm is verified

Classical Algorithm

Information Collection and Transformation of Coordinate Systems

Model Establishment

Simulation Experiment

Conclusion