Large-Scale Agent-Based Combined Traffic Simulation of Private Cars and Commercial Vehicles
The number of independent and interdependent freight actors (firms), the complex supply chain structures between them, and the sensitivity of shipment data are some reasons that the modeling of freight traffic is lagging its public and private transit counterparts. An agent-based approach was used to reconstruct commercial activity chains and simulate them, along with private vehicles, for a large-scale scenario in Gauteng, South Africa. The simulated activities were compared with the actual observed activities of 5,196 vehicles that were inferred from Global Positioning System logs covering approximately 6 months. The results show that the reconstructed activity chains are both spatially and temporally accurate, especially in areas of high activity density. Freight vehicles are a major contributor to traffic congestion and emissions, and the new approach bridges the gap between the person and the state of the art in commercial transport modeling.
- Record URL:
- Summary URL:
-
Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Blurbs/Freight_Transportation_Modeling_Planning_and_Logis_164468.aspx
-
Authors:
- Joubert, Johan W
- Fourie, Peter J
- Axhausen, Kay W
- Publication Date: 2010
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 24-32
- Monograph Title: Freight Transportation Modeling, Planning, and Logistics
-
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2168
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Commercial vehicle operations; Exhaust gases; Freight traffic; Traffic congestion; Traffic simulation
- Uncontrolled Terms: Activity chains; Agent based models
- Geographic Terms: Gauteng (South Africa)
- Subject Areas: Environment; Freight Transportation; I15: Environment;
Filing Info
- Accession Number: 01153557
- Record Type: Publication
- ISBN: 9780309160377
- Report/Paper Numbers: 10-0546
- Files: TRIS, TRB, ATRI
- Created Date: Mar 31 2010 7:46AM