Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation
Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in
scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist with …
scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist with …
Aggressive Driving Behavior Detection Using Integrated I-DBSCAN and LSTM Neural Network
Lately, a significant rise in traffic fatalities linked to aggressive driving behaviors has been
noted, accentuating the imperative need for research in this domain. Hence, the detection of …
noted, accentuating the imperative need for research in this domain. Hence, the detection of …
Machine Learning-Based Method for Energy Economy Driver Assistance
Strict emission regulations have significantly driven researchers to enhance vehicles' energy
efficiency, leading to advancements in automotive technology. To conduct tests in a …
efficiency, leading to advancements in automotive technology. To conduct tests in a …
Enhancing Road Safety and Energy Efficiency through Driving Behavior Detection Using Machine Learning Methods
H Chen - 2024 - webthesis.biblio.polito.it
A significant rise in traffic fatalities linked to aggressive driving behaviors has been noted,
accentuating the imperative need for research in this domain. Hence, the de-tection of …
accentuating the imperative need for research in this domain. Hence, the de-tection of …