Quantifying automated vehicle benefits in reducing driving stress: a simulation experiment approach
Frontiers in Future Transportation, 2023 Driving is a stressful activity because of the mental workload required to maneuver a vehicle in certain travel contexts, such as congested traffic, multi-modal networks requiring complex interaction with surrounding vehicles, and aggressive driving ...
Zulqarnain H. Khattak, Zhenhong Lin
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On Offline Evaluation of Vision-based Driving Models [PDF]
, 2018 Autonomous driving models should ideally be evaluated by deploying them on a fleet of physical vehicles in the real world. Unfortunately, this approach is not practical for the vast majority of researchers. An attractive alternative is to evaluate models
Codevilla, Felipe +3 more
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Research on driving behavior decision making system of autonomous driving vehicle based on benefit evaluation model [PDF]
Archives of Transport, 2020 Autonomous driving vehicle could increase driving efficiency, reduce traffic congestion and improve driving safety, it is considered as the solution of current traffic problems.
Pengwei Wang +4 more
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Flexural properties of 3D printed continuous flax fiber reinforced polyethylene composites [PDF]
PeerJ Materials ScienceNatural fibers are classified as green energy materials and have embodied the principles of sustainable development. This paper impregnated natural continuous flax fibers (CFF) with polyethylene (PE) on a self-developed melt impregnation device, obtained
Minggan Wang +5 more
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Packet Inter-Reception Time Conditional Density Estimation Based on Surrounding Traffic Distribution
IEEE Open Journal of Intelligent Transportation Systems, 2020 Cooperation is an enabler for autonomous vehicles. A promising application of cooperative driving is high-density platooning, where trucks drive with low inter-vehicle distances.
Guillaume Jornod +2 more
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Physics of Autonomous Driving based on Three-Phase Traffic Theory
, 2017 We have revealed physical features of autonomous driving in the framework of the three-phase traffic theory for which there is no fixed time headway to the preceding vehicle.
Kerner, Boris S.
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Development Status and Hotspot Visualized Analysis of Autonomous Vehicles Based on CiteSpace
Journal of Advanced Transportation, 2022 The safety of autonomous driving has been a constant concern, with autonomous driving becoming a research focus in the world today. This study collects the literature in the field of autonomous driving in the Web of Science core data collection from 2005
Lixin Yan +3 more
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Editorial: Brain-inspired autonomous driving [PDF]
Frontiers in NeuroroboticsElishai Ezra Tsur +2 more
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Deep Reinforcement Learning framework for Autonomous Driving
, 2017 Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes.
Abdou, Mohammed +3 more
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A Model-Based Spatio-Temporal Behavior Decider for Autonomous Driving
MachinesSpatio-temporal planning has emerged as a robust methodology for solving trajectory planning challenges in complex autonomous driving scenarios. By integrating both spatial and temporal variables, this approach facilitates the generation of highly ...
Yiwen Huang +5 more
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