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- W567223562 abstract "This study proposes a microscopic traffic model which incorporates the movement of motorcycles in urban areas. Motorcycles exhibit different characteristics including small size, movement on two wheels and absence of protection between the driver and the driving environment. As a consequence motorcycles demonstrate different movement characteristics in comparison to passenger cars including different values of acceleration and deceleration but most importantly movement between vehicles on adjacent lanes, i.e. filtering. The proposed model is based on the Cellular Automaton (CA) perception of traffic, which is a discrete time discrete space microscopic model. Specific properties of the cellular automaton model are modified and certain additions are proposed so as to cater for the representation of motorcycle behavior and hence movement. In particular, the modified model includes the introduction of multiple driver classes (and hence characteristics), the capability of lateral placement of vehicles in a lane and the introduction of appropriate lane-changing strategies, both between traffic lanes but also within the same traffic lane. Simulation results demonstrate the capability of the model to simulate the distinct movement characteristics of motorcycles and future research proposes the calibration of the model parameters." @default.
- W567223562 created "2016-06-24" @default.
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- W567223562 date "2009-01-01" @default.
- W567223562 modified "2023-09-23" @default.
- W567223562 title "Microscopic Traffic Model for Incorporating Motorcycle Movement in Urban Areas" @default.
- W567223562 hasPublicationYear "2009" @default.
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