Digital Library of the European Council for Modelling and Simulation

Title:	Approximation Of Pedestrian Effects In Urban Traffic Simulation By Distribution Fitting
Authors:	Andreas D. Lattner, Jörg Dallmeyer, Dimitrios Paraskevopoulos, Ingo J. Timm
Published in:	(2012).ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European Council for Modeling and Simulation. doi:10.7148/2012 ISBN: 978-0-9564944-4-3 26^th European Conference on Modelling and Simulation, Shaping reality through simulation Koblenz, Germany, May 29 – June 1 2012
Citation format:	Andreas D. Lattner, Jörg Dallmeyer, Dimitrios Paraskevopoulos, Ingo J. Timm. (2012). Approximation Of Pedestrian Effects In Urban Traffic Simulation By Distribution Fitting, ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 567-573). European Council for Modeling and Simulation. doi:10.7148/2012-0567-0573
DOI:	http://dx.doi.org/10.7148/2012-0567-0573
Abstract:	For a proper simulation of urban traffic scenarios, besides cars other road users, namely bicycles and pedestrians, have to be modeled. In scenarios where a whole city is modeled, a detailed actor-based simulation of pedes- trians leads to expensive extra computational load. We investigate to what extent it is possible to capture traffic effects imposed by simulated pedestrians and then per- form simulations without pedestrians. We propose to col- lect information about pedestrian impacts in a simulation with pedestrians, estimate underlying probability distri- butions and finally, use a simplified model where only these effects are generated probabilistically. We investi- gate two approaches – a best-fit distribution fitting and a histogram-based distribution approximation – using syn- thetic data as well as simulated traffic scenarios. The ex- periments show that using the proposed approximations can lead to similar average cars’ travel times.
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