Vehicle driving risk prediction model by reverse artificial intelligence neural network

H Ding, RA Raja Ghazilla… - Computational …, 2022 - Wiley Online Library
The popularity of private cars has brought great convenience to citizens' travel. However, the
number of private cars in society is increasing yearly, and the traffic pressure on the road is …

A dynamic lane-changing decision and trajectory planning model of autonomous vehicles under mixed autonomous vehicle and human-driven vehicle environment

Y Yu, X Luo, Q Su, W Peng - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
How to complete a lane changing process considering various variables has always been a
critical issue in the field of autonomous driving. Developing a lane-changing decision model …

An intelligent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle

W Wang, T Qie, C Yang, W Liu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In the future complex intelligent transportation environments, lane-changing behavior of
surrounding vehicles is a significant factor affecting the driving safety. It is necessary to …

A game-theoretic approach on conflict resolution of autonomous vehicles at unsignalized intersections

X Lu, H Zhao, C Li, B Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In order to resolve the driving conflict and improve the safety and efficiency of autonomous
vehicles at unsignalized intersections, a new decision-making method based on game …

Analysis of drivers' deceleration behavior based on naturalistic driving data

S Li, P Li, Y Yao, X Han, Y Xu, L Chen - Traffic injury prevention, 2020 - Taylor & Francis
Objective: As one of the bases for designing a humanlike brake control system for the
intelligent vehicle, drivers' deceleration behavior needs to be understood. There are two …

Lane change decision analysis based on drivers' perception-judgment and game theory

JS Peng, YS Guo, YM Shao - Applied Mechanics and Materials, 2013 - Trans Tech Publ
To clearly understand the mechanism of drivers lane-changing decision, based on drivers
perception of external information, integrated cognitive judgment and game theory, the …

Improved responsibility-sensitive safety algorithm through a partially observable Markov decision process framework for automated driving behavior at non-signalized …

DQ Tran, SH Bae - International journal of automotive technology, 2021 - Springer
Self-driving safety is one of the major concerns raised with regard to pushing the use of
automated vehicles on roads. Fully automated vehicles are forced to make appropriate …

Decision-making and planning method for autonomous vehicles based on motivation and risk assessment

Y Wang, C Wang, W Zhao, C Xu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to improve the real-time and computational efficiency of autonomous vehicles'
decision-making process, this paper draws on the decision-making behavior of human …

Analysis on autonomous vehicle detection performance according to various road geometry settings

J So, J Hwangbo, SH Kim, I Yun - Journal of Intelligent …, 2023 - Taylor & Francis
This study investigates the probability of visibility limitation of autonomous driving system
sensors under various road geometry conditions. This limited visibility can be a concern for …

Suppose future traffic accidents based on development of self-driving vehicles

Q Yuan, Y Gao, Y Li - … System Engineering: Proceedings of the 16th …, 2016 - Springer
With the development of self-driving vehicles, the future road traffic system will be
dramatically changed, and so will be the characteristics of road traffic accidents. It is …