An Implementation of Depth-First and Breadth-First Search Algorithms for Tip Selection in IOTA Distributed Ledger

Ferenczi, Andras; Bǎdicǎ, Costin

doi:10.1007/978-3-031-21743-2_28

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B Using Predictions In Negotiations1

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2024

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“…Then, we use a breadth-first search (BFS) to go backward in time in G S and temporarily remove all R S k,i that would have lost all their child nodes R S k,i , if V lost C C j (line 6) [33]. We then go forward in time to the final time step and temporarily remove all R S k,i that would transitively have lost all their parent nodes R S k,i (line 7), which is again a BFS.…”

Section: B Using Predictions In Negotiationsmentioning

confidence: 99%

Rule-Compliant Multi-Agent Driving Corridor Generation using Reachable Sets and Combinatorial Negotiations

Mascetta,

Liu,

Althoff

2024

2024 IEEE Intelligent Vehicles Symposium (IV)

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Multi-agent cooperative motion planning offers the potential to improve safety and the overall traffic flow. However, many approaches for multi-agent driving do not incorporate traffic rules or do not generalize to arbitrary scenarios. To address these open problems, we propose a novel method to negotiate individual rule-compliant driving corridors and independently plan trajectories for each controlled agent in them. We incorporate predictions into the conflict negotiation process to enable decision-making over long time horizons. Our approach is applicable to arbitrary scenarios, including mixed cooperative and non-cooperative traffic participants, as demonstrated through our numerical experiments.

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Section: B Using Predictions In Negotiationsmentioning

confidence: 99%