Print Email Facebook Twitter An empirical agent-based simulation system for urban goods transport (MASS-GT) Title An empirical agent-based simulation system for urban goods transport (MASS-GT) Author de Bok, M.A. (TU Delft Transport and Planning) Tavasszy, Lorant (TU Delft Transport and Planning; TU Delft Transport and Logistics) Date 2018 Abstract Urban planners face a few challenges in making urban freight transport more sustainable: reduce urban congestion, provide reliable deliverywindows, decrease logistic costs, reduce emissions, improve safety. New data may provide a key in tackling these issues. This paper presentsan agent-based urban freight modeling framework: MASS-GT. Objective of the project is to develop a comprehensive simulation frameworkthat describes logistic decision making in the context of urban transport planning. Empirical basis is provided by a large dataset with observedfreight transport data for The Netherlands. Part of the data has been collected using an automated procedure to report complete freight trippatterns from the transport management system. This provides more dense and complete data compared to conventional internet surveys. Thepaper describes the design principles for agents, markets and logistic decisions. Furthermore we elaborate on the incremental development pathof building a comprehensive agent-based simulation system. We describe the first baseline prototype of the agent based modeling frameworkthat simulates all urban freight transport patterns for an urban area, in the case the agglomeration of Rotterdam. This baseline model applies adata driven simulation approach; future work will consists of further improving this framework with the implementation of discrete choicemodels for logistic decisions. To reference this document use: http://resolver.tudelft.nl/uuid:f4d8c936-9895-4065-a13d-f5036b06bcfb DOI https://doi.org/10.1016/j.procs.2018.04.021 ISSN 1877-0509 Source Procedia Computer Science, 130, 126-133 Event 9th International Conference on Ambient Systems, Networks and Technologies, ANT-2018 andthe 8th International Conference on Sustainable Energy Information Technology,SEIT 2018, 2018-05-08 → 2018-05-11, Porto, Portugal Part of collection Institutional Repository Document type journal article Rights © 2018 M.A. de Bok, Lorant Tavasszy Files PDF Bok_Tavasszy_2018_Empriri ... 18_PCS.pdf 2.32 MB Close viewer /islandora/object/uuid:f4d8c936-9895-4065-a13d-f5036b06bcfb/datastream/OBJ/view