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- W4285107517 abstract "The GTAModel travel demand model, developed at the University of Toronto, currently uses an aggregate transit assignment method that is inconsistent with the agent-based microsimulation structure of the rest of the model system, thereby limiting the effectiveness of the model results. This project seeks to address this gap in capability by integrating the Nexus agent-based microsimulation platform with GTAModel to perform transit assignment. Nexus allows agents to consider factors including congestion, fare prices, and real-time information in their route choice, potentially improving the comprehensiveness of model results and enhancing their effectiveness for real-world policy analysis. This paper presents a literature review of relevant concepts and models, then identifies a gap in current capability which is addressed by integrating Nexus with GTAModel for transit assignment. This integrated model is compared with a current GTAModel run, and is applied to a case study of Toronto’s Downtown Relief Line (now renamed as the Ontario Line) to demonstrate a practical application. The project is evaluated on the basis of its potential to advance the state of practice in demand modelling, and the numerical quality of its results. Although results differ significantly from traditional methods, the project demonstrates the strong potential and practical viability of agent-based transit assignment, and identifies additional efforts which are required for a full-scale integration between GTAModel and Nexus. These results are significant in their demonstration of the realistic application of transit assignment using an agent-based microsimulation to a large-scale operational travel demand model, showing promise for the technology to be used in practice." @default.
- W4285107517 created "2022-07-14" @default.
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- W4285107517 date "2022-01-01" @default.
- W4285107517 modified "2023-09-29" @default.
- W4285107517 title "Integrating Activity-Based Modelling with Agent-Based Transit Assignment" @default.
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- W4285107517 doi "https://doi.org/10.1007/978-981-19-1065-4_57" @default.
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