no code implementations • 28 Nov 2023 • Tin T. Nguyen, Simeon C. Calvert, Guopeng Li, Hans van Lint
To effectively interpret retrieval outcomes, the paper proposes a graph-based approach (relation-graph) for the former component, in which fundamental traffic phenomena are encoded as nodes and their spatiotemporal relationships as edges.
no code implementations • 31 Jul 2023 • Xue Yao, Simeon C. Calvert, Serge P. Hoogendoorn
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.
1 code implementation • 30 May 2023 • Guopeng Li, Yiru Jiao, Victor L. Knoop, Simeon C. Calvert, J. W. C. van Lint
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow.
no code implementations • 10 Apr 2023 • Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Alessandro Abate, Luca Laurenti
In particular, we show that the stochastic program to synthesize a SBF can be relaxed into a chance-constrained optimisation problem on which scenario approach theory applies.
no code implementations • 9 Mar 2023 • Simeon C. Calvert, Stig Johnsen, Ashwin George
Ensuring operational control over automated vehicles is not trivial and failing to do so severely endangers the lives of road users.