Comparing the Ecological Footprint of Intersection Management Protocols for Human/Autonomous Scenarios

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2020

Autores

Reddy, R (Autor) Outra; Luis Almeida (Autor) FEUP; Santos, PM (Autor) Outra; tovar, e (Autor) Outra

Ata de Conferência Internacional

Título: 23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020, Rhodes, Greece, September 20-23, 2020

Páginas: 1-6

23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020

20 September 2020 through 23 September 2020

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-00T-CX3

DOI: 10.1109/itsc45102.2020.9294529

Abstract (EN): The design of Intelligent Intersection Management (IIM) schemes for fully Autonomous Vehicles (AVs) and mixed with Human-driven Vehicles (HVs) has focused mainly on throughput maximization and users' safety. However, new IIM strategies should consider environmental factors and human health conditions in their design, given their impact on fuel wastage and emission of dangerous air pollutants. In this paper, we compare the ecological footprint of two IMM protocols that follow opposite paradigms in handling AVs and HVs with an internal combustion engine. We consider Round-Robin (RR) that favors the crossing of multiple consecutive cars from one road at a time and the recently proposed Synchronous Intersection Management Protocol (SIMP) that favors the crossing of multiple cars simultaneously, one from each road. Through experiments in the SUMO simulator, we observe that SIMP promotes more fluid traffic flows, causing traffic throughput to be up to 3.7 times faster and consume less fuel than the RR schemes, with similar results for vehicular emissions (PMx, NOx, CO, CO2, and HC).

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6