Results 31 to 40 of about 46,626 (246)
Comfort and Safety in Conditional Automated Driving in Dependence on Personal Driving Behavior
IEEE Open Journal of Intelligent Transportation Systems, 2023 When changing from active driving to conditional automated driving (CAD), the question arises whether users still prefer their own driving behavior while being a passenger.
Laurin Vasile +4 more
doaj +1 more source
Safe Deep Driving Behavior Detection (S3D)
IEEE Access, 2022 The human factor is one of the most critical parameters in car accidents and even traffic occurrences. Driving style affected by human factors comprises driving events (maneuvers) and driver behaviors.
Ehsan Khosravi +3 more
doaj +1 more source
Optimization of driving styles for fuel economy improvement [PDF]
2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012 Modern vehicles have sophisticated electronic control units, particularly to control engine operation with respect to a balance between fuel economy, emissions, and power. These control units are designed for specific driving conditions and testing. However, each individual driving style is different and rarely meets those driving conditions.
Malikopoulos, Andreas Ornl +2 more
openaire +1 more source
Characterizing Driving Styles with Deep Learning
CoRR, 2016 Characterizing driving styles of human drivers using vehicle sensor data, e.g., GPS, is an interesting research problem and an important real-world requirement from automotive industries. A good representation of driving features can be highly valuable for autonomous driving, auto insurance, and many other application scenarios.
Weishan Dong +5 more
openaire +2 more sources
Effects of Driving Style and Vehicle Maintenance on Vehicle Roadworthiness
Promet (Zagreb), 2020 Vehicles that are non-roadworthy pose a hazard for all road users and can be one of the main causes of traffic accidents. Previous studies have analysed the impact of the driving style on environmental sustainability and road safety.
Iva Mikulić +2 more
doaj +1 more source
Applied SciencesThis paper investigates the application of ensemble learning in improving the accuracy and reliability of predictions in connected vehicle systems, focusing on driving style, road surface quality, and traffic conditions.
Yahya Kadhim Jawad, Mircea Nitulescu
doaj +1 more source
Lane-Changing Recognition of Urban Expressway Exit Using Natural Driving Data
Applied Sciences, 2022 The traffic environment at the exit of the urban expressway is complex, and vehicle lane-changing behavior occurs frequently, making it prone to traffic conflict and congestion.
Lei Zhao +3 more
doaj +1 more source
Driving Style Modelling for Eco-driving Applications
IFAC-PapersOnLine, 2017 Abstract Driver modeling is an important subject in transportation systems and intelligent vehicles. These models can replace human driver to quantify and enhance the technological solutions by means of simulation. In this paper a driving style model for representing three different styles is proposed.
Javanmardi, Setareh +6 more
openaire +1 more source
Bus Travel Time Prediction Based on the Similarity in Drivers’ Driving Styles
Future Internet, 2023 Providing accurate and real-time bus travel time information is crucial for both passengers and public transportation managers. However, in the traditional bus travel time prediction model, due to the lack of consideration of the influence of different ...
Zhenzhong Yin, Bin Zhang
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Research on driving style recognition method based on driver’s dynamic demand
Advances in Mechanical Engineering, 2016 Drivers usually show different driving styles in a transportation system. In analyzing the explicit linkage between driving style and driver’s dynamic demand, driving style can be classified into sports, moderate, and economical types. The sum of current
Yulong Lei +5 more
doaj +1 more source