Partial Order Reduction on the Ambient Calculus for Modeling Intra-regional Truck Transportation

We are working on a system that simulates the delivery routes of cargoes with the aim of improving the loading efficiency of truck freight transportation. To this aim we are using the ambient calculus, a family of process algebra, for modeling freight systems. The simulator generates all possible delivery plans consolidating cargoes by the function of enumerating all non-deterministic choice in processes. However, using naive methods to plan all consolidation patterns could easily lead to a combinatorial explosion problem. Therefore, we propose an algorithm that applies a method called partial order reduction that is usually used in model checking, so that we can simulate intra-regional medium-lot cargo transportation systems on a practical scale.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/icm62621.2025.10934815
Primary Topic
Transportation Planning and Optimization
Type
article
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article

Partial Order Reduction on the Ambient Calculus for Modeling Intra-regional Truck Transportation

Akiko Maruyama, Toru Kato
Transportation Planning and Optimization
article

Partial Order Reduction on the Ambient Calculus for Modeling Intra-regional Truck Transportation

Akiko Maruyama, Toru Kato
article en

Abstract

We are working on a system that simulates the delivery routes of cargoes with the aim of improving the loading efficiency of truck freight transportation. To this aim we are using the ambient calculus, a family of process algebra, for modeling freight systems. The simulator generates all possible delivery plans consolidating cargoes by the function of enumerating all non-deterministic choice in processes. However, using naive methods to plan all consolidation patterns could easily lead to a combinatorial explosion problem. Therefore, we propose an algorithm that applies a method called partial order reduction that is usually used in model checking, so that we can simulate intra-regional medium-lot cargo transportation systems on a practical scale.

Kindai University (JP)
Openalex Percentile: Top 94%
Transportation Planning and Optimization
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