Jones, "Estimating an origin-destination table for US exports of waterborne containerised freight," Maritime Economics & Logistics, vol. 11, no. 2, pp. 137-155, 2009.Levine, B., Nozick, L., and Jones, D., Estim
Fosgerau and Engelson (2011) considered the value of travel time variability under scheduling preferences that were defined in terms of linearly time-varying utility rates associated with being at the origin and at the destination. They have shown that a measure related to travel time variability ...
Non-limiting examples of non-sapient payload may include elements of non-sapient payload carried by one or more persons making up sapient payload, including without limitation suitcases, “carry-on” bags, backpacks, parcels, crates, chests, or the like and/or one or more elements of freight ...
For destination charging demand, we leverage publicly available sociodemographic data, a POI database, and mobility statistics, including daily trip rates, modal share, and trip length distributions. En-route charging demand is estimated using highway traffic count data. We account for EV battery ...
Origin-destination MatrixA method, based on the fuzzy programming theory, was outlined to estimate the regional single-mode highway freight origin-destination matrix. Due to the problem nature, data from multi-source were used instead of a large-scale field OD survey. A bi-objective non-linear...