Modeling External and Empty Freight Truck Trips using Agent-Based Simulation
Modeling external and empty freight trips helps in better planning and scheduling of transportation operations. This can lead to more effective route planning, load consolidation, and overall optimization of transportation networks. In this study external and empty truck trips were modeled using Freight Analysis Framework (FAF) and Highway Performance Monitoring System (HPMS) data with generating trip outputs from POLARIS agent-based simulation framework. The model was then applied to the Austin metropolitan area, Texas, USA. The model estimated single and multi-unit AADT values with 91% and 93.4% accuracy compared with the HPMS volume, respectively. The estimated error – 9% and 6.6% - is due to the shortest path routing that may prefer faster routes on certain highways. Truck trips on large volume links tend to be overestimated while short links underestimate truck trips to some extent.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
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Supplemental Notes:
- © 2024 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- Ismael, Abdelrahman
- Huang, Yantao
- Shen, Hui
- Sahin, Olcay
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Conference:
- 15th International Conference on Ambient Systems, Networks and Technologies (ANT)
- Location: Hasselt , Belgium
- Date: 2024-4-23 to 2024-4-25
- Publication Date: 2024
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 791-796
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Serial:
- Procedia Computer Science
- Volume: 238
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-0509
- Serial URL: http://www.sciencedirect.com/science/journal/18770509
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Freight traffic; Simulation; Trucking
- Identifier Terms: Freight Analysis Framework; Highway Performance Monitoring System
- Geographic Terms: Austin (Texas)
- Subject Areas: Freight Transportation; Motor Carriers; Planning and Forecasting;
Filing Info
- Accession Number: 01929813
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 9 2024 3:16PM