Interference-free walks in time: Temporally disjoint paths

Klobas, N.; Mertzios, G.B.; Molter, H.; Niedermeier, R.; Zschoche, P.

Abstract

We investigate the computational complexity of finding temporally disjoint paths or walks in temporal graphs. There, the edge set changes over discrete time steps and a temporal path (resp. walk) uses edges that appear at monotonically increasing time steps. Two paths (or walks) are temporally disjoint if they never visit the same vertex at the same time; otherwise, they interfere. This reflects applications in robotics, traffic routing, or finding safe pathways in dynamically changing networks. On the one extreme, we show that on general graphs the problem is computationally hard. The “walk version” is W[1]-hard when parameterized by the number of walks. However, it is polynomialtime solvable for any constant number of walks. The “path version” remains NP-hard even if we want to find only two temporally disjoint paths. On the other extreme, restricting the input temporal graph to have a path as underlying graph, quite counter-intuitively, we find NP-hardness in general but also identify natural tractable cases.

Citation

Klobas, N., Mertzios, G., Molter, H., Niedermeier, R., & Zschoche, P. (2022). Interference-free walks in time: Temporally disjoint paths. Autonomous Agents and Multi-Agent Systems, 37, Article 1. https://doi.org/10.1007/s10458-022-09583-5

• Journal Article Type: Article
• Acceptance Date: Sep 22, 2022
• Online Publication Date: Oct 21, 2022
• Publication Date: 2022
• Deposit Date: Sep 27, 2022
• Publicly Available Date: Oct 22, 2023
• Journal: Autonomous Agents and Multi-Agent Systems
• Print ISSN: 1387-2532
• Electronic ISSN: 1573-7454
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 37
• Article Number: 1
• DOI: https://doi.org/10.1007/s10458-022-09583-5
• Public URL: https://durham-repository.worktribe.com/output/1190647