Zobrazeno 1 - 10
of 649
pro vyhledávání: '"Simeon, C"'
Current approaches to identifying driving heterogeneity face challenges in comprehending fundamental patterns from the perspective of underlying driving behavior mechanisms. The concept of Action phases was proposed in our previous work, capturing th
Externí odkaz:
http://arxiv.org/abs/2407.17518
This study proposes a unified theory and statistical learning approach for traffic conflict detection, addressing the long-existing call for a consistent and comprehensive methodology to evaluate the collision risk emerging in road user interactions.
Externí odkaz:
http://arxiv.org/abs/2407.10959
Lane-changing (LC) is a challenging scenario for connected and automated vehicles (CAVs) because of the complex dynamics and high uncertainty of the traffic environment. This challenge can be handled by deep reinforcement learning (DRL) approaches, l
Externí odkaz:
http://arxiv.org/abs/2407.02521
The use of partially automated driving systems raises concerns about potential responsibility issues, posing risk to the system safety, acceptance, and adoption of these technologies. The concept of meaningful human control has emerged in response to
Externí odkaz:
http://arxiv.org/abs/2402.08080
As the deployment of autonomous vehicles (AVs) in mixed traffic flow becomes increasingly prevalent, ensuring safe and smooth interactions between AVs and human agents is of critical importance. How road users resolve conflicts at intersections has s
Externí odkaz:
http://arxiv.org/abs/2308.13839
Current approaches to identifying driving heterogeneity face challenges in capturing the diversity of driving characteristics and understanding the fundamental patterns from a driving behaviour mechanism standpoint. This study introduces a comprehens
Externí odkaz:
http://arxiv.org/abs/2307.16843
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow. Investigating how human drivers react differently when following autonomous vs. human-driven vehicles (HV) is thus critic
Externí odkaz:
http://arxiv.org/abs/2305.18921
Autor:
Mathiesen, Frederik Baymler, Romao, Licio, Calvert, Simeon C., Abate, Alessandro, Laurenti, Luca
This paper proposes a new framework to compute finite-horizon safety guarantees for discrete-time piece-wise affine systems with stochastic noise of unknown distributions. The approach is based on a novel approach to synthesise a stochastic barrier f
Externí odkaz:
http://arxiv.org/abs/2304.04505
Ensuring operational control over automated vehicles is not trivial and failing to do so severely endangers the lives of road users. An integrated approach is necessary to ensure that all agents play their part including drivers, occupants, vehicle d
Externí odkaz:
http://arxiv.org/abs/2303.05091