Loading [a11y]/accessibility-menu.js
Car-Following Model of ULVs using a Deep Learning Model | IEEE Conference Publication | IEEE Xplore

Car-Following Model of ULVs using a Deep Learning Model


Abstract:

In recent years, various types of vehicles have been developed and made available for the road. This study clarifies the driving characteristics of Ultra Lightweight Vehi...Show More

Abstract:

In recent years, various types of vehicles have been developed and made available for the road. This study clarifies the driving characteristics of Ultra Lightweight Vehicles (ULVs) that consume less energy. First, coordinate data in units of 0.1 seconds are created by observing traffic flows including ULVs using unmanned aerial vehicles (UAVs). In addition, a car-following model is developed using the long short-term memory (LSTM) model, which has attracted attention as a deep learning model. Consequently, a model with a higher degree of fitness than a non-linear model is developed.
Date of Conference: 29 November 2022 - 02 December 2022
Date Added to IEEE Xplore: 04 January 2023
ISBN Information:
Conference Location: Ise, Japan

References

References is not available for this document.