Agent-based simulation of autonomous vehicles: A systematic literature review

P Jing, H Hu, F Zhan, Y Chen, Y Shi - IEEE Access, 2020 - ieeexplore.ieee.org
… rationality and behavioral heterogeneity of agents (people, vehicles) [8] into account. So
large-scale of agents need to be built up in the simulation system of autonomous vehicles. With …

Interpretable goal-based prediction and planning for autonomous driving

SV Albrecht, C Brewitt, J Wilhelm… - … on Robotics and …, 2021 - ieeexplore.ieee.org
behavioral estimation for ramp merging control in autonomous driving,” in IEEE Intelligent
Vehicles … Kunze, “Sense–Assess–eXplain (SAX): Building trust in autonomous vehicles in …

Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

G Li, Y Yang, S Li, X Qu, N Lyu, SE Li - Transportation research part C …, 2022 - Elsevier
… element that needs to be considered for autonomous vehicles (AVs). To ensure driving safety,
… Besides, other reward schemes are included when planning vehicle behavior in order to …

Examining human attitudes toward shared mobility options and autonomous vehicles

A Rahimi, G Azimi, X Jin - Transportation research part F: traffic psychology …, 2020 - Elsevier
… of behavior shifts in the era of automated, connected and shared mobility and incorporates
these considerations into the planning … measured or incorporated into behavioral models, and …

Are cities prepared for autonomous vehicles? Planning for technological change by US local governments

Y Freemark, A Hudson, J Zhao - Journal of the American Planning …, 2019 - Taylor & Francis
… how autonomous vehicle (AV) technology is deployed. In this study we examine how
municipalities are planning … what effects bureaucrats expect from the vehicles. We review existing …

Artificial intelligence applications in the development of autonomous vehicles: A survey

Y Ma, Z Wang, H Yang, L Yang - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
… yielding to crossing pedestrians, identifying aggressive ordinary vehicles, and path planning?
How should AVs learn from people’s behavior and evolve their AI approaches to reduce …

Verification and validation methods for decision-making and planning of automated vehicles: A review

Y Ma, C Sun, J Chen, D Cao… - … on Intelligent Vehicles, 2022 - ieeexplore.ieee.org
… and focuses on validating the strategies and behaviors of ego-vehicle, the test of the AEB …
making of autonomous vehicles,” in Fourth International Conference on Autonomic and …

Autonomous vehicles

Y Wiseman - Research anthology on cross-disciplinary designs and …, 2022 - igi-global.com
… Converting traditional vehicles into autonomous vehicles was not just one step. The first
step was just 28 years after the invention of cars, that is to say 1898. This step’s concept was …

A survey on imitation learning techniques for end-to-end autonomous vehicles

L Le Mero, D Yi, M Dianati… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… Such a system involves the design of an autonomous vehicleautonomous driving (perception,
path planning, control etc.) … behavior cloning for autonomous driving,” in Proc. IEEE/CVF …

A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles

B Chen, D Sun, J Zhou, W Wong, Z Ding - Information Sciences, 2020 - Elsevier
… , behavioral decision, motion planning, and intelligent control. The autonomous vehicle is …
closely related to improper human driving behaviors like violations of traffic regulations and …