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http://hdl.handle.net/20.500.12188/28820
Title: | COMPARATIVE ANALYSIS OF CAR FOLLOWING MODELS BASED ON DRIVING STRATEGIES USING SIMULATION APPROACH | Authors: | Vase Jordanoska Igor Gjurkov Darko Danev |
Keywords: | traffic dynamics, traffic simulation, car-following model, driving behaviour | Issue Date: | 2018 | Publisher: | Mobility & Vehicle Mechanics International Journal for Vehicle Mechanics , Engines and Transportation Systems | Journal: | MOBILITY & VEHICLE MECHANICS International Journal for Vehicle Mechanics , Engines and Transportation Systems | Conference: | International Congress Motor Vehicles & Motors 2018 | Abstract: | Transportation and traffic affect all the aspects of everyday life. To better understand traffic dynamics traffic models are developed. On microscopic level, car-following models are developed and improved during long period of time. They are used in traffic simulation tools or are the basis for operation in some advanced vehicle systems. Car-following models describe traffic dynamics through movement of individual vehicle-driver units. This paper compares Gipps model and Intelligent Driver Model (IDM) as car-following models based on driving strategies. These models are derived based on assumptions such as keeping safe distance from the leading vehicle, driving at a desired speed and producing accelerations within a comfortable range. The models are implemented and simulated in MATLAB environment and the results are discussed in terms of the ability to reproduce real driving behaviour in car following scenarios. | URI: | http://hdl.handle.net/20.500.12188/28820 | DOI: | https://doi.org/10.24874/mvm.2018.44.03.01 |
Appears in Collections: | Faculty of Mechanical Engineering: Journal Articles |
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