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Cooperative Autonomous Driving in Simulation

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapt_PT
dc.contributor.advisorCosta, António Casimiro Ferreira da
dc.contributor.advisorCecílio, José Manuel da Silva
dc.contributor.authorCosta, Gonçalo Manuel Valente da
dc.date.accessioned2024-03-13T16:27:40Z
dc.date.available2024-03-13T16:27:40Z
dc.date.issued2024
dc.date.submitted2023
dc.descriptionTese de Mestrado, Informática, 2024, Universidade de Lisboa, Faculdade de Ciênciaspt_PT
dc.description.abstractIn this master’s thesis, we defined, implemented, and evaluated an architecture tailored to a simulation environment to assess cooperative autonomous driving protocols. The primary objective of this thesis is to showcase the benefits of employing this architecture to enhance driver and passenger safety in scenarios with coordination problems between vehicles. Additionally, this thesis aims to assess the resilience of the protocol implemented in the architecture. We tested it in demanding scenarios, such as intersections with a high volume of vehicles or situations with significant latency and communication failures between vehicles. These stress tests allow us to evaluate the protocol’s robustness and ability to prevent failures in such challenging conditions. Consequently, this thesis contributes by defining an architecture that facilitates vehicle-tovehicle communication for resolving coordination issues. This solution allows the incorporation of protocols specifically designed to address coordination challenges among vehicles. Furthermore, this thesis also makes a substantial contribution by implementing and testing the proposed architecture, incorporating a protocol responsible for coordinating vehicles at intersections to ensure the safety of drivers and passengers. To conduct the solution testing, we utilized a highly realistic simulator known as SVL. This simulator was crucial in creating the testing scenarios, including environmental conditions and vehicle dynamics. The key findings from our testing demonstrate that adopting this architecture mitigates accidents and potentially hazardous situations at intersections compared to scenarios where it is not utilized, resulting in improved safety. We also verified that the protocol can manage many vehicles, even when the communication latency between the vehicles is high.pt_PT
dc.identifier.tid203882660
dc.identifier.urihttp://hdl.handle.net/10451/63401
dc.language.isoengpt_PT
dc.relationADMORPH project No 871259pt_PT
dc.relationLASIGE - Extreme Computing
dc.subjectCooperação entre veículospt_PT
dc.subjectVeículo autónomopt_PT
dc.subjectProblemas de coordenaçãopt_PT
dc.subjectConsensopt_PT
dc.subjectTrânsitopt_PT
dc.subjectTeses de mestrado - 2024pt_PT
dc.titleCooperative Autonomous Driving in Simulationpt_PT
dc.typemaster thesis
dspace.entity.typePublication
oaire.awardTitleLASIGE - Extreme Computing
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00408%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
relation.isProjectOfPublication1047b7c0-692c-4e8a-9fb0-ef819e9248a3
relation.isProjectOfPublication.latestForDiscovery1047b7c0-692c-4e8a-9fb0-ef819e9248a3
thesis.degree.nameMestrado em Informáticapt_PT

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