Trajectory planning based on adaptive model predictive control: Study of the performance of an autonomous vehicle in critical highway scenarios

CIV Gonçalves - 2022 - search.proquest.com
Increasing automation in automotive industry is an important contribution to overcome many
of the major societal challenges. However, testing and validating a highly autonomous …

Highway Discretionary Lane-change Decision and Control Using Model Predictive Control

Z Zheng, X Liu, Y Lin - arXiv preprint arXiv:2402.17524, 2024 - arxiv.org
To enable vehicles to perform automatic lane change amidst the random traffic flow on
highways, this paper introduces a decision-making and control method for vehicle lane …

Motion planning for autonomous lane change manoeuvre with abort ability

R Chandru, Y Selvaraj - 2016 - odr.chalmers.se
The field of highly autonomous ground vehicle systems has been the focus of research in
both, academia and industry in the recent decades and is expected to be so in the near …

Combining stochastic and scenario model predictive control to handle target vehicle uncertainty in an autonomous driving highway scenario

T Brüdigam, M Olbrich, M Leibold… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Autonomous vehicles face the challenge of providing safe transportation while efficiently
maneuvering in an uncertain environment. Considering surrounding vehicles, two types of …

Efficient driving on multilane roads under a connected vehicle environment

MAS Kamal, S Taguchi… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Traffic anticipation enhances driving intelligence and strengthens the ability to take early
vehicle control action, eg, lane change and speed adjustment, in a dynamically varying …

Simultaneous realization of decision, planning and control for lane-changing behavior using nonlinear model predictive control

H Okuda, N Sugie, T Suzuki, K Haraguchi… - … on Information and …, 2020 - search.ieice.org
Path planning and motion control are fundamental components to realize safe and reliable
autonomous driving. The discrimination of the role of these two components, however, is …

Analysis of model predictive intersection control for autonomous vehicles

Z Farkas, A Mihály, P Gáspár - Periodica Polytechnica Transportation …, 2023 - pp.bme.hu
Autonomous vehicles are in the main focus for automotive companies and urban traffic
engineers as well. As their penetration rate in traffic becomes more and more pronounced …

Strategic decision making for automated driving on two-lane, one way roads using model predictive control

J Nilsson, J Sjöberg - 2013 IEEE Intelligent Vehicles …, 2013 - ieeexplore.ieee.org
This paper presents an algorithm for strategic decision making regarding when lane change
and overtake manoeuvres are desirable and feasible. By considering the task of driving on …

A prediction-based reactive driving strategy for highly automated driving function on freeways

M Bahram, A Wolf, M Aeberhard… - 2014 IEEE Intelligent …, 2014 - ieeexplore.ieee.org
Highly automated driving on freeways requires a complex artificial intelligence that makes
optimal decisions based on the current measurements and information. The architecture of …

Decision-making based on reinforcement learning and model predictive control considering space generation for highway on-ramp merging

H Kimura, M Takahashi, K Nishiwaki, M Iezawa - IFAC-PapersOnLine, 2022 - Elsevier
Reducing traffic accidents pertaining to autonomous vehicles has garnered attention.
Merging on a highway is one of the most challenging problems that must be addressed for …