A review of vehicle active safety control methods: From antilock brakes to semiautonomy
AH Ahangarnejad, A Radmehr… - Journal of Vibration …, 2021 - journals.sagepub.com
A comprehensive review of technologies and approaches for active safety systems designed
to reduce ground vehicle crashes, as well as the associated severity of injuries and fatalities …
to reduce ground vehicle crashes, as well as the associated severity of injuries and fatalities …
Lane-changes prediction based on adaptive fuzzy neural network
Lane changing maneuver is one of the most important driving behaviors. Unreasonable lane
changes can cause serious collisions and consequent traffic delays. High precision …
changes can cause serious collisions and consequent traffic delays. High precision …
A historical review on lateral and longitudinal control of autonomous vehicle motions
A Khodayari, A Ghaffari, S Ameli… - … on Mechanical and …, 2010 - ieeexplore.ieee.org
In this research, brief survey of literature on current developments in the field of lateral and
longitudinal control of autonomous vehicle motions. The paper categorizes the motions of …
longitudinal control of autonomous vehicle motions. The paper categorizes the motions of …
A hierarchical prediction model for lane-changes based on combination of fuzzy C-means and adaptive neural network
Lane changing behavior generally expresses uncertainty due to the impact of environmental
factors, and unreasonable lane changes can cause serious collisions. High precision …
factors, and unreasonable lane changes can cause serious collisions. High precision …
Prediction of lane change trajectories through neural network
Lane changing process is an essential maneuver, however, the process is responsible for
large number of collisions and traffic instability. In this work, the effectiveness of neural …
large number of collisions and traffic instability. In this work, the effectiveness of neural …
Driver Lane‐Changing Behavior Prediction Based on Deep Learning
C Wei, F Hui, AJ Khattak - Journal of advanced transportation, 2021 - Wiley Online Library
A correct lane‐changing plays a crucial role in traffic safety. Predicting the lane‐changing
behavior of a driver can improve the driving safety significantly. In this paper, a hybrid neural …
behavior of a driver can improve the driving safety significantly. In this paper, a hybrid neural …
Stability analysis of microscopic models for traffic flow with lane changing
M Piu, G Puppo - arXiv preprint arXiv:2203.00318, 2022 - arxiv.org
This paper investigates the mathematical modeling and the stability of multi-lane traffic in the
microscopic scale, studying a model based on two interaction terms. To do this we propose …
microscopic scale, studying a model based on two interaction terms. To do this we propose …
Semantic annotation and retrieval of video events using multimedia ontologies
Effective usage of multimedia digital libraries has to deal with the problem of building
efficient content annotation and retrieval tools. In this paper multimedia ontologies, that …
efficient content annotation and retrieval tools. In this paper multimedia ontologies, that …
Driving angle prediction of lane changes based on extremely randomized decision trees considering the harmonic potential field method
ABSTRACT A lane-changing process is complicated due to multiple factors in the driving
environment, and unsafe lane-changing behaviour may lead to a severe crash. This study …
environment, and unsafe lane-changing behaviour may lead to a severe crash. This study …
SVM based trajectory predictions of lane changing vehicles
In dense traffic, a lane change maneuver is potentially dangerous and a driver's erroneous
estimation of inter vehicle gaps may cause an accident. This signifies the necessity of …
estimation of inter vehicle gaps may cause an accident. This signifies the necessity of …