Reference Architecture for Control Tower to Operate and Monitor Autonomous Heavy-duty Vehicles

dc.contributor.authorUDDIN, MOHAMMAD JASIM
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.examinerRobert, Feldt
dc.contributor.supervisorBerger, Christian
dc.date.accessioned2022-02-15T07:17:39Z
dc.date.available2022-02-15T07:17:39Z
dc.date.issued2022sv
dc.date.submitted2020
dc.description.abstract[Context] In recent years, automated vehicle technology has been rapidly evolved and enabled vehicles to perform a rich variety of autonomous tasks. This progress in vehicle automation has begun to indicate the possible benefits that automated vehicles can have on society and by scaling up the deployment of automated vehicles, the transportation networks will become increasingly more safe and efficient. In the maturity of certain autonomous functionalities, it has also become clear that automated vehicles will not and should not do certain tasks on their own. A cloud-based off-board system a.k.a control tower to operate and monitor the autonomous vehicle could help to scale up autonomous vehicle operation and improve productivity and efficiency. [Problem] While the role of a cloud-based control tower is obvious, it needs to be investigated what are the mandatory functionalities and how the architecture of a control tower should look like. Along with the functional requirement, it is also required to investigate non-functional requirements and critical quality attributes of the control tower system. [Results] Based on the investigation in an industry setup this study defines a reference architecture by identifying functional and non-functional requirements. This study identifies fifteen mandatory services for an operational control tower in a confined area. From the literature it is also found that Performance, Reliability and Security are most important quality attributes whereas from the stakeholder feedback it is found that Security, Reliability and Maintainability are the most important quality attributes. It is also observed that there is a lack of using common vocabularies among the stakeholders and in the literature, there is diversity in using and selecting the vocabularies while discussing control tower functions for autonomous vehicles. [Contribution] The major contributions are the identified functional and nonfunctional requirements and designed architectural artifacts that aggregate knowledge from domain experts and literature. These artifacts can serve as a reference point for autonomous vehicles company to develop their own control tower for autonomous vehicles.sv
dc.identifier.coursecodeDATX05sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/304500
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.subjectautonomous vehiclesv
dc.subjectcloudsv
dc.subjectoff-board systemsv
dc.subjectcontrol towersv
dc.subjectfunctional requirementsv
dc.subjectnon-function requirementssv
dc.subjectquality attributessv
dc.subjectreference architecturesv
dc.subjectArchitecture Trade-off Analysis Methodsv
dc.titleReference Architecture for Control Tower to Operate and Monitor Autonomous Heavy-duty Vehiclessv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
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