A binary logistic regression LC model with a mean impact value (MIV) method to select features is proposed for accurate prediction.

Since the main aim of this paper is to figure out the significant features' influences on LC behavior as well as predict the LC behavior in an interpretable.

A binary logistic regression LC model with a mean impact value (MIV) method to select features is proposed for accurate prediction and lays a solid ...

Therefore, a binary logistic regression LC model with a mean impact value (MIV) method to select features is proposed for accurate prediction. First, the ...

This study investigates the contributing factors to accident risks in different lane-changing patterns with taking unobserved heterogeneity into account.

In this paper, the research status of vehicle lane change models is reviewed. Firstly, various factors affecting lane change models are analyzed.

Sep 11, 2023 · This study introduces a comprehensive two-stage prediction model that harnesses the capabilities of long short-term memory (LSTM) for ...

Highlights · The stochastic lane-changing trajectory is modeled with the logistic diffusion method, which is represented by a stochastic differential equation.

May 24, 2021 · Binary logistic regression has been used to estimate the probability of lane change ( L C ) in the Cell Transmission Model (CTM).

This study explored the high-resolution vehicle trajectory data attainable in CV environments for detecting the onset of lane change maneuvers. The observed ...