Macroscopic attraction-based simulation of pedestrian mobility: A dynamic individual route-choice approach

David Canca, Alejandro Zarzo, Encarnación Algaba and Eva Barrena

European Journal of Operational Research, 2013, vol. 231, issue 2, 428-442

Abstract: This paper presents a dynamic distribution and assignment simulation model based on discrete time simulation techniques and dynamic route assignment for planning, engineering design, and operation analysis of big exhibition events from a pedestrian circulation perspective. Both, the distribution and assignment stages are incorporated in an interlaced way with a dynamic behavior along a specific time horizon. In the proposed model, the individual route choice is dynamically determined as consequence of facilities attractiveness and network congestion. Therefore, in contrast with other simulation approaches, it does not require the usual origin–destination trip matrices to describe the transportation demand or the specification of different paths to be followed by visitors. This modeling approach turns out to be very appropriate for the simulation of these big exhibition events where each visitor usually has multiple and a priori unordered destination choices after entering the scenario.

Keywords: Simulation; Pedestrian mobility; Dynamic route choice; Route assignment; Transportation planning (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:231:y:2013:i:2:p:428-442

DOI: 10.1016/j.ejor.2013.05.039

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