eBook - PDF

Calibration & Comparison of Meso & Microscopic Traffic Simulation

Name: Calibration & Comparison of Meso & Microscopic Traffic Simulation
ISBN: 9786202219785

Calibrate a mesoscopic and microscopic simulation with PTV VISSIM using data from Munich's ring-road and an arterial

Adjei Boateng,

72 pages
English
PDF
Available on iOS & Android

eBook - PDF

Calibration & Comparison of Meso & Microscopic Traffic Simulation

Calibrate a mesoscopic and microscopic simulation with PTV VISSIM using data from Munich's ring-road and an arterial

Adjei Boateng,

About this book

Two urban road networks (Arterial and Ring Road) models were calibrated microscopically and mesoscopically. The model was developed using microsimulation software VISSIM 9. Only the car following parameters was adjusted for the microscopic simulation. Wiedemann 99 car following model was used to calibrate the Mittlerer ring (Freeway). The model has 10 adjustable parameters (CC0, CC1, …, CC9). Wiedemann 74 car following model was used to calibrate the arterial road (urban Motorized). Mesoscopic simulation parameters are Reaction Time, Standstill Distance, and Maximum Waiting Time. Arterial Network: The volume in the network were sensitive to changes in Wiedermann 74 car following model parameters. The travel time was not sensitive to the parameter changes. The volume in the network and travel times were both sensitive to changes in mesoscopic parameters. Mittlerer Ring: The volume in the network were sensitive to changes in Wiedermann 99 car following model parameters. The travel time was not sensitive to the parameter changes. The volume in the network was not sensitive to changes in mesoscopic parameters. However, the travel time was sensitive to the parameter changes.

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Yes, you can access Calibration & Comparison of Meso & Microscopic Traffic Simulation by Adjei Boateng in PDF and/or ePUB format, as well as other popular books in Mathematics & Functional Analysis. We have over one million books available in our catalogue for you to explore.