Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges …
P Dong, J Zhao, X Liu, J Wu, X Xu, Y Liu… - … and Sustainable Energy …, 2022 - Elsevier
The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Microscopic traffic modeling inside intersections: interactions between drivers
Microscopic traffic flow models enable predictions of traffic operations, which allows traffic
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …
A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles
Y Zhang, Y Chen, X Gu, NN Sze, J Huang - Accident Analysis & Prevention, 2023 - Elsevier
Driving style may have an important effect on traffic safety. Proactive crash risk prediction for
lane-changing behaviors incorporating individual driving styles can help drivers make safe …
lane-changing behaviors incorporating individual driving styles can help drivers make safe …
An intelligent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle
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 …
surrounding vehicles is a significant factor affecting the driving safety. It is necessary to …
Decision-making in driver-automation shared control: A review and perspectives
Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
An integrated lane change prediction model incorporating traffic context based on trajectory data
Predicting lane change maneuvers is critical for autonomous vehicles and traffic
management as lane change may cause conflict in traffic flow. Most existing studies do not …
management as lane change may cause conflict in traffic flow. Most existing studies do not …
Methodology and mobile application for driver behavior analysis and accident prevention
This paper presents a methodology and mobile application for driver monitoring, analysis,
and recommendations based on detected unsafe driving behavior for accident prevention …
and recommendations based on detected unsafe driving behavior for accident prevention …
Gaze and eye tracking: Techniques and applications in ADAS
MQ Khan, S Lee - Sensors, 2019 - mdpi.com
Tracking drivers' eyes and gazes is a topic of great interest in the research of advanced
driving assistance systems (ADAS). It is especially a matter of serious discussion among the …
driving assistance systems (ADAS). It is especially a matter of serious discussion among the …
A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns
Proactive lane-changing (LC) risk prediction can assist driver's LC decision-making to
ensure driving safety. However, most previous studies on LC risk prediction did not consider …
ensure driving safety. However, most previous studies on LC risk prediction did not consider …