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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Transitioning to a driverless city: Evaluating a hybrid system for autonomous and non-autonomous vehicles

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Autor(es):
Zambom Santana, Eduardo Felipe [1] ; Covas, Gustavo [1] ; Duarte, Fabio [2, 3] ; Santi, Paolo [3, 4] ; Ratti, Carlo [3] ; Kon, Fabio [1]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Dept Comp Sci, Sao Paulo - Brazil
[2] Pontificia Univ Catolica Parana, Curitiba, Parana - Brazil
[3] MIT, Senseable City Lab, 77 Massachusetts Ave, Cambridge, MA 02139 - USA
[4] CNR, Ist Informat & Telemat, Pisa - Italy
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: SIMULATION MODELLING PRACTICE AND THEORY; v. 107, FEB 2021.
Citações Web of Science: 0
Resumo

Autonomous vehicles will transform urban mobility. However, before being fully implemented, autonomous vehicles will navigate cities in mixed-traffic roads, negotiating traffic with human-driven vehicles. In this work, we simulate a system of autonomous vehicles co-existing with human-driven vehicles, analyzing the consequences of system design choices. The system consists of a network of arterial roads with exclusive lanes for autonomous vehicles where they can travel in platoons. This paper presents the evaluation of this system in realistic scenarios evaluating the impacts of the system on travel time using mesoscopic traffic simulation. We used real data from the metropolis of Sao Paulo to create the simulation scenarios. The results show that the proposed system would bring reductions to the average travel time of the city commuters and other benefits such as the reduction of the space required to handle all the traffic. (AU)

Processo FAPESP: 14/50937-1 - INCT 2014: da Internet do Futuro
Beneficiário:Fabio Kon
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 15/24485-9 - Internet do futuro aplicada a cidades inteligentes
Beneficiário:Fabio Kon
Modalidade de apoio: Auxílio à Pesquisa - Temático