Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/28819
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dc.contributor.authorStefani Josifovskaen_US
dc.contributor.authorVase Jordanoskaen_US
dc.date.accessioned2023-12-12T12:40:42Z-
dc.date.available2023-12-12T12:40:42Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/28819-
dc.description.abstractWith the development of the Internet of Things and the Smart infrastructure, simulating the traffic is not purely a mathematical question anymore, but also entails the vehicle dynamics as an important factor, due to the constant data sharing between the vehicles and the highly automated systems which control the behaviour of the vehicles. This paper aims to upgrade the traditional traffic flow model based on the Cellular Automata theory, by incorporating the positions and velocities of the vehicles, as well as introduce a longitudinal vehicle dynamics model, in order to determine the accuracy of the pure traffic model in a simulation environment (Python).en_US
dc.language.isoen_USen_US
dc.publisherMechanical Engineering – Scientific Journalen_US
dc.relation.ispartofMechanical Engineering – Scientific Journalen_US
dc.subjectInternet of vehicles; traffic model; longitudinal dynamics; bottleneck mergeen_US
dc.titleCOMPARISON OF DIFFERENT MODELLING APPROACHES FOR VEHICLE VELOCITY CONTROL ON AN UPCOMING BOTTLENECK SECTIONen_US
dc.typeJournal Articleen_US
dc.identifier.doihttps://doi.org/10.55302/MESJ23411664051j-
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:Faculty of Mechanical Engineering: Journal Articles
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