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Found 5 papers, 1 papers with code
Pattern retrieval of traffic congestion using graph-based associations of traffic domain-specific features
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.
Identification of Driving Heterogeneity using Action-chains
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.
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow.
Inner approximations of stochastic programs for data-driven stochastic barrier function design
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.
Designing Automated Vehicle and Traffic Systems towards Meaningful Human Control
Ensuring operational control over automated vehicles is not trivial and failing to do so severely endangers the lives of road users.
