Towards drivers' safety with multi-criteria car navigation systems

Autor(es)

Sole, Leonardo ; Sammarco, Matteo ; Detyniecki, Marcin ; Campista, Miguel Elias M.

• Tipo de documento: Artigo Científico
• Fonte: FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE; v. 135, p. 9-pg., 2022-10-01.

Resumo

Usual car navigation systems are configured to propose either the shortest or the fastest path between any origin-destination pair, neglecting the particularities of the territory. Some roads are impracticable when raining, some others are to avoid at night for the scarce lighting, or less safe for the presence of criminality and high accident ratio. On the other hand, longer paths can be safer and more pleasant as they pass through less noisy zones, with the presence of beautiful landscapes. In this paper we analyze the faults in current car navigation systems, especially quantifying the trade-off between safety and traveling time or path length. We propose two multi-criteria route planning methods, HVT (Hierarchical with Variable Tolerance) and R2V (Route to Vector), suggesting the best path to drivers also considering safety or multiple drivers' specific needs. A dataset of 3,170 paths from 600 origin/destination pairs within London is created and shared to the research community. With this dataset, we show that selecting routes with reduced driving risks is indeed possible with a marginal increase in travel times.(C) 2022 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais
• Beneficiário: Nelson Luis Saldanha da Fonseca
• Modalidade de apoio: Auxílio à Pesquisa - Temático