Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/28819
Title: COMPARISON OF DIFFERENT MODELLING APPROACHES FOR VEHICLE VELOCITY CONTROL ON AN UPCOMING BOTTLENECK SECTION
Authors: Stefani Josifovska
Vase Jordanoska
Keywords: Internet of vehicles; traffic model; longitudinal dynamics; bottleneck merge
Issue Date: 2023
Publisher: Mechanical Engineering – Scientific Journal
Journal: Mechanical Engineering – Scientific Journal
Abstract: With 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).
URI: http://hdl.handle.net/20.500.12188/28819
DOI: https://doi.org/10.55302/MESJ23411664051j
Appears in Collections:Faculty of Mechanical Engineering: Journal Articles

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