ITS and Real Time Cross Border Logistic Operations Optimization

TL;DR

This paper presents a context-aware optimization approach for real-time cross-border logistics, enhancing parcel delivery robustness by anticipating external factors and supporting decision-making at multiple levels.

Contribution

It introduces a novel context-aware framework for optimizing cross-border logistics operations using real-time external data and complex event detection.

Findings

Improved robustness of logistics plans against external disruptions

Enhanced decision support through context-awareness

Potential for increased efficiency in parcel delivery

Abstract

Moving parcels from origin to destination should not require a lot of re-planning. However, the vast number of shipments and destinations, which need to be re-aligned in real-time due to various external factors makes the delivery process a complex issue to tackle. Anticipating the impact of external factors though can provide more robust logistic plans which are resilient to changes. The work described in this paper, was carried out in the EU-funded COG-LO project and addresses the issue of parcel delivery across the road network making use of context-awareness information as an input for the optimization operations. A positive impact derived from the implementation of these services is expected due to complex event detection, context awareness and decision support at both local and global level of logistics operations.