Chae, C.; Kim, Y. Investigation of Following Vehicles’ Driving Patterns Using Spectral Analysis Techniques. Sustainability2023, 15, 10539.
Chae, C.; Kim, Y. Investigation of Following Vehicles’ Driving Patterns Using Spectral Analysis Techniques. Sustainability 2023, 15, 10539.
Chae, C.; Kim, Y. Investigation of Following Vehicles’ Driving Patterns Using Spectral Analysis Techniques. Sustainability2023, 15, 10539.
Chae, C.; Kim, Y. Investigation of Following Vehicles’ Driving Patterns Using Spectral Analysis Techniques. Sustainability 2023, 15, 10539.
Abstract
The key to ensuring the sustainability of transportation operations on the roads is to manage traffic flows homogeneously. By homogenizing the behavior of various drivers, traffic operation can be optimized, and traffic safety can be improved. However, the advent of autonomous vehicles is expected to have a major impact on the homogeneity of sustainable transportation operations. In this study, a method of driving in harmony with surrounding vehicles was studied to minimize the impact of autonomous vehicles on current traffic operation. In particular, in this study, a methodology was developed to optimize the driving behavior of autonomous vehicles by analyzing the driving behavior of following vehicles using spectrum analysis. Specifically, a method for calculating three indicators that can analyze the driving behavior of a following vehicle, such as reaction time, stimulus adaptation index, and collision risk avoidance index, was proposed. These indices produced consistent and robust results for all traffic conditions. If these indicators are used, it is expected that sustainable traffic management will be possible even when autonomous vehicles and human drivers are mixed on the road.
Engineering, Transportation Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
