Subject: traffic dynamics, traffic simulation, car-following model, driving behaviour
Year: 2018
Type: Journal Article
Title: COMPARATIVE ANALYSIS OF CAR FOLLOWING MODELS BASED ON DRIVING STRATEGIES USING SIMULATION APPROACH
Author: Vase Jordanoska
Author: Igor Gjurkov
Author: Darko Danev
Abstract: Transportation and traffic affect all the aspects of everyday life. To better understand traffic dynamics traffic models are developed. On microscopic level, carfollowing 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. Carfollowing models describe traffic dynamics through movement of individual vehicle-driver units. This paper compares Gipps model and Intelligent Driver Model (IDM) as carfollowing 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.
Publisher: MOBILITY & VEHICLE MECHANICS International Journal for Vehicle Mechanics , Engines and Transportation Systems
Relation: MOBILITY & VEHICLE MECHANICS International Journal for Vehicle Mechanics , Engines and Transportation Systems
Identifier: oai:repository.ukim.mk:20.500.12188/9500
Identifier: http://hdl.handle.net/20.500.12188/9500Identifier: https://doi.org/10.24874/mvm.2018.44.03.01
