Model formulation and calibration procedure for integrated multi-modal activity routing and network assignment models
Transportation Research Part C: Emerging Technologies, ISSN: 0968-090X, Vol: 121, Page: 102853
2020
- 8Citations
- 37Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
In this paper, a novel transport planning model system (TPMS) is formulated built on the concepts of network, multi-modality, integrity and instant calibration. In the proposed formulation, activity-travel pattern (ATP) choice elements including the choices of activity, activity sequence, mode, departure time, and parking location, are all unified into a time-dependent ATPs generator. The proposed model accounts for the dynamicity of the network, including time-of-day and congestion effects in a joint structure for transport supply and demand. Moreover, the proposed TPMS explicitly formulates an operating capacitated public transport system. To allow visiting locations multiple times and to alleviate the complexity of the proposed model, a novel multi-visit vehicle routing problem is proposed which does not enumerate the node and link visits. In order to calibrate the model based on the major travel attributes of the travel survey data, a set of splitting ratios are introduced to distribute trips on the network. The model uses the splitting ratios to integrate the ATPs generator and the traffic assignment (TA) model in a unified TPMS structure. The effectiveness of the proposed structure is demonstrated through numerical examples provided.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0968090X20307531; http://dx.doi.org/10.1016/j.trc.2020.102853; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85096159074&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0968090X20307531; https://dx.doi.org/10.1016/j.trc.2020.102853
Elsevier BV
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