Tour-Based Freight Origin-Destination Synthesis

This investigation proposes an entropy-maximization (EM) approach to develop a tour-based urban freight travel demand models to obtain origin-destination (OD) matrices from traffic counts. One of the major obstacles to urban freight demand forecasting is the lack of aggregate-level models that consider commercial vehicle tours. To bridge the gap, EM is adopted to develop tour-based urban freight travel demand models, given the aggregate information available in the network. In this context, a behavioral-based tour choice model is developed to generate a sufficient and effective set of tours as the input to the EM formulations in order to perform freight Origin-Destination Synthesis (ODS) including trip chains. The method estimates the distribution patterns of commercial vehicle tour flows given link traffic counts. This study gives a set of mathematical programs for conducting tour-based freight ODS using traffic counts. The optimal solution found shows that the number of tour flows following a tour is an exponential function of the Lagrange multipliers associated with the trip productions/attractions of nodes along that tour, the tour impedance, and the observed traffic counts in links.

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