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Main Title: Automatic calibration of agent-based public transit assignment path choice to count data
Author(s): Moyo Oliveros, Manuel
Nagel, Kai
Type: Article
Language Code: en
Abstract: This work describes the calibration of a schedule-based transit assignment inside an iterative microscopic agent-based simulation. The calibration challenge implies that the behavioral rules should be modified in order to move the simulation closer to observed passenger counts. First, route choice set of agents is enriched with travel parameter utilities randomization. Secondly, the calibration interacts directly into the performance evaluation of individual daily plan of activities, so that the plan is also evaluated for its contribution to the count reproduction. In this way, appropriate plans from the calibration perspective can persist along simulation iterations. The Berlin public transport system with day-based counts is used as test scenario. The results show that the calibration approach can work with large scale scenarios, and that it is able to deal with the inter-temporal aspects implied by counts.
Issue Date: 2016
Date Available: 27-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): transit assignment
transit calibration
multi-agent simulation
Journal Title: Transportation Research, Part C: Emerging Technologies
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 64
Publisher DOI: 10.1016/j.trc.2016.01.003
Page Start: 58
Page End: 71
EISSN: 1879-2359
ISSN: 0968-090X
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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