Automatic calibration of agent-based public transit assignment path choice to count data |
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| Institution: | 1. Advanced Technology Development Center, Indian Institute of Technology, Kharagpur 721 302, India;2. Department Mining Engineering, Indian Institute of Technology, Kharagpur 721 302, India;1. Dpto. de Ciencias de la Computación, Facultad de Ciencias Exactas y Tecnología (FACET), Universidad Nacional de Tucumán (UNT), Av. Independencia 1800, Tucumán, Argentina;2. Laboratorio de Telecomunicaciones, Dpto. de Electrónica Electricidad y Computación, FACET, UNT, Av. Independencia 1800, Tucumán, Argentina;3. Istituto Nazionale di Geofisica e Vulcanologia (INGV), Via di Vigna Murata, 605, 00143 Rome, Italy;4. School of Electrical and Electronics Engineering, SASTRA University, Thanjavur 613401, India;1. Dept. of Computer Science and Engineering (DISI), University of Bologna, Italy;2. Advanced Research Centre for Electronic Systems (ARCES), University of Bologna, Via Toffano 2/2, 40125 Bologna, Italy;3. Radiology Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, via Piero Maroncelli 40, 47014 Meldola, FC, Italy;4. Dept. of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Italy;1. School of Statistics, Zhejiang Gongshang University, Hangzhou, PR China;2. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, PR China |
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| 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. |
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| Keywords: | Transit assignment Micro-simulation Transit calibration Multi-agent simulation |
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