A cell-based logit-opportunity taxi customer-search model
We propose a cell-based logit-opportunity taxi customer-search model. It combines the modeling principles of the logit and intervening opportunity models. We calibrate the model using taxi GPS data and the proposed bi-level approach. Vacant taxi drivers do not search their customers under the random walk principle. They consider the cumulative probability of success of being hired in customer-search.
taxi customer-search probability of success logit-opportunity model cell-based network global positioning system data