The MACB Problem: Definitions, Variants, and a PDDL+ Approach

Danai Papamaximou, Rongge Guo, Francesco Percassi, Mauro Vallati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Modular Autonomous Customised Bus Systems (MACB) promise to significantly enhance public transport attractiveness and accessibility, leading to improved quality of life and reduced emissions. Compared to traditional bus systems, MACB provides a problem that poses a new set of challenges, ranging from the allocation of vehicles to the optimisation of routes and recharges. The MACB problem is attracting increasing interest within the transport research community, but it presents characteristics and dimensions that lend themselves well to approaches based on planning and combinatorial search. In this paper, with the aim of bridging the gap between different research communities, we provide a crisp definition of the MACB problem and present a planning-based approach to solve a specific variant of the problem, together with a set of benchmarks to foster research on this topic.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Agents and Artificial Intelligence (ICAART-26)
PublisherSciTePress
Publication statusAccepted/In press - 4 Dec 2026
Event18th International Conference on Agents and Artificial Intelligence - Marbella, Spain
Duration: 5 Mar 20267 Mar 2026
https://icaart.scitevents.org/

Conference

Conference18th International Conference on Agents and Artificial Intelligence
Abbreviated titleICAART 2026
Country/TerritorySpain
CityMarbella
Period5/03/267/03/26
Internet address

Fingerprint

Dive into the research topics of 'The MACB Problem: Definitions, Variants, and a PDDL+ Approach'. Together they form a unique fingerprint.

Cite this