What question did this study set out to answer?

The aim is to create a model that predicts short-term passenger demand for taxis using real-time data.

September 1, 2012

A predictive model for the passenger demand on a taxi network

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial develops a model predicting passenger demand in Porto's taxi network, indicating enhanced dispatch efficiency.

The aim is to create a model that predicts short-term passenger demand for taxis using real-time data.
Developed methodology for real-time passenger demand prediction using time series forecasting techniques.
Analyzed data from 441 taxi vehicles over 4 months to forecast demand at 63 taxi stands.
Evaluated accuracy of predictions within a 30-minute time horizon.
Forecasted 76% of the 86,411 demanded taxi services accurately.
Utilized processed spatio-temporal data to enhance taxi dispatching effectiveness.
Demonstrated significant contribution to driver mobility intelligence.

Moreira-Matias et al. (2012) studied this question.

View Full Paper

Ask AI

Bookmark