01366515

Component

The long term and large number of daily visitors to World Exposition 2010 Shanghai China (World Expo 2010), adding to the regular traffic of Shanghai, was a shock to the urban transportation. The study aimed to predict daily visitors before the Expo Site opened each day. The government made great benefit from the visitor volume prediction in the transportation management system, Expo park service system and transportation scheduling. Takagi-Sugeno (T-S) fuzzy models were applied to obtain the prediction. And the Pearson correlation coefficient helped to select the passenger flows with relatively high correlation coefficients as the input variables of the models. From the experiments, the predictor showed its capacity of highly accurate forecasts and remarkable robustness. Practically, the results were timely issued through our comprehensive transportation information platform to the Shanghai government and Bureau of Shanghai World Expo Coordination for reference.

This paper was sponsored by TRB committee ABJ70 Artificial Intelligence and Advanced Computing Applications

01362476

12-2798

English

11p

2012

Transportation Research Board 91st Annual Meeting

Digital/other

Figures; References; Tables

Fuzzy algorithms; Passenger traffic; Special events; Traffic forecasting

Shanghai (China)

Data and Information Technology; Public Transportation; I71: Traffic Theory

Transportation Research Board Annual Meeting 2012 Paper #12-2798

TRIS, TRB

Feb 8 2012 5:12PM