Understanding autonomous vehicles

A Faisal, M Kamruzzaman, T Yigitcanlar… - Journal of transport and …, 2019 - JSTOR
Advancement in automated driving technology has created opportunities for smart urban
mobility. Automated vehicles are now a popular topic with the rise of the smart city agenda …

A comprehensive review on limitations of autonomous driving and its impact on accidents and collisions

A Chougule, V Chamola, A Sam… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
The emergence of autonomous driving represents a pivotal milestone in the evolution of the
transportation system, integrating seamlessly into the daily lives of individuals due to its …

[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives

H Yu, R Jiang, Z He, Z Zheng, L Li, R Liu… - … research part C: emerging …, 2021 - Elsevier
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …

Policy and society related implications of automated driving: A review of literature and directions for future research

D Milakis, B Van Arem, B Van Wee - Journal of intelligent …, 2017 - Taylor & Francis
In this paper, the potential effects of automated driving that are relevant to policy and society
are explored, findings discussed in literature about those effects are reviewed and areas for …

Energy management in plug-in hybrid electric vehicles: Recent progress and a connected vehicles perspective

CM Martinez, X Hu, D Cao, E Velenis… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Plug-in hybrid electric vehicles (PHEVs) offer an immediate solution for emissions reduction
and fuel displacement within the current infrastructure. Targeting PHEV powertrain …

Human-machine collaborative decision-making: An evolutionary roadmap based on cognitive intelligence

M Ren, N Chen, H Qiu - International Journal of Social Robotics, 2023 - Springer
With the development of artificial intelligence technology, intelligent machines are
increasingly equipped with human-like abilities such as autonomous decision-making …

A dynamic lane-changing trajectory planning model for automated vehicles

D Yang, S Zheng, C Wen, PJ **, B Ran - Transportation Research Part C …, 2018 - Elsevier
This paper focuses on the lane-changing trajectory planning (LTP) process in the automatic
driving technologies. Existing studies on the LTP algorithms are primarily the static planning …

Anticipated Collision Time (ACT): A two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment

SP Venthuruthiyil, M Chunchu - Transportation research part C: emerging …, 2022 - Elsevier
Abstract Surrogate Safety Measures (SSMs) are widely used to assess potential crash risk
proactively. Notably, most of the existing safety indicators are fundamentally designed to …

Trajectory planning and tracking for autonomous overtaking: State-of-the-art and future prospects

S Dixit, S Fallah, U Montanaro, M Dianati… - Annual Reviews in …, 2018 - Elsevier
Trajectory planning and trajectory tracking constitute two important functions of an
autonomous overtaking system and a variety of strategies have been proposed in the …

A novel lane change decision-making model of autonomous vehicle based on support vector machine

Y Liu, X Wang, L Li, S Cheng, Z Chen - IEEE access, 2019 - ieeexplore.ieee.org
Autonomous driving is a crucial issue of the automobile industry, and research on lane
change is its significant part. Previous works on the autonomous vehicle lane change mainly …