Screenline-Based Two-Step Calibration and its Application to an Agent-Based Urban Freight Simulator
Name
2108.05995.pdf
Description
Submitted version
Size
1.99 MB
Format
Adobe PDF
Checksum (MD5)
45bb3fc5b3a27b3a4eb2cc4a1a09cfe2
Author(s)
Hara, Yusuke
Sakai, Takanori
Alho, André Romano
Ben-Akiva, Moshe
Date Issued
2022
Journal
Transportation Research Record
Publisher
SAGE Publications
Citation
Hara, Yusuke, Sakai, Takanori, Alho, André Romano and Ben-Akiva, Moshe. 2022. "Screenline-Based Two-Step Calibration and its Application to an Agent-Based Urban Freight Simulator." Transportation Research Record.
Version
Original manuscript
Abstract
Calibration is an essential process in making an agent-based simulator operational. In particular, the calibration for freight demand is challenging because of the model complexity and the shortage of available freight demand data compared with passenger data. This paper proposes a novel calibration method that relies solely on screenline counts, named screenline-based two-step calibration (SLTC). SLTC consists of two parts: (1) tour-based demand adjustment; and (2) model parameter updates. The former generates screenline-based tours by cloning/removing instances of the simulated goods vehicle tours, aiming to minimize the gaps between the observed and the simulated screenline counts. The latter updates the parameters of the commodity flow model which generates inputs to simulate goods vehicle tours. To demonstrate the practicality of the proposed method, we apply it to an agent-based urban freight simulator, SimMobility Freight. The result shows that SLTC allows the simulator to replicate the observed screenline counts with reasonable computational cost for calibration.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1177/03611981221082562
