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Model-based design of a roadside unit for emergency and disaster management

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dc.contributor Graduate Program in Computer Engineering.
dc.contributor.advisor Yurdakul, Arda.
dc.contributor.author Hilal, Nur.
dc.date.accessioned 2023-03-16T10:05:17Z
dc.date.available 2023-03-16T10:05:17Z
dc.date.issued 2020.
dc.identifier.other CMPE 2020 H56
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12447
dc.description.abstract Every year, a massive number of deaths happen because of traffic accidents. In order to increase the traffic victim’s survival rates, it is important to reduce the arrival time of trauma intervention teams to accidents’ sites. Automatic incident detection provides faster incident reporting, in which it decreases the delay of arrival time of first responders. In this thesis, we propose a system where traffic incidents can be detected, verified and reported using multiple detection mechanisms and communication technologies to provide faster response and allow for first responders to arrive as quickly as possible. Our proposed system contains a Roadside Unit (RSU), which is responsible for inci dent detection using two automatic incident detection algorithms depending on traffic parameters collected by Inductive Loops sensors and communication technology called VANET. The proposed RSU, also, listens and receives two incident reporting signals sent by eCall and WreckWatch solutions. This thesis provides the internal architecture of the proposed RSU using Model-Based Engineering concept, where the RSU is mod eled in Architecture Analysis and Design Language (AADL). We provide an AADL model that captures the internal structure of the RSU, its components and their inter actions. We provide experiments on the model’s tasks execution using gem5 simulator depending on different configurations. We used gem5 simulation results for scheduling properties of the AADL model in order to present scheduling tests and latency analy sis. In addition, we present scheduling simulations using AADL Inspector. Test results show that our RSU model is schedulable with low processor utilization factors, and provides incident detection and reporting in under three minutes.
dc.format.extent 30 cm.
dc.publisher Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020.
dc.subject.lcsh Vehicular ad hoc networks (Computer networks)
dc.subject.lcsh Emergency communication systems.
dc.title Model-based design of a roadside unit for emergency and disaster management
dc.format.pages xiii, 86 leaves ;


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