Authors: Pei-Wei Lin (firstname.lastname@example.org) and Gang-Len Chang
Conference: the 9th International Conference on Applications of Advanced Technology in Transportation, Chicago, IL
Date: August 13-16, 2006
This study presents a robust algorithm that can deal with the incomplete volume information so as to significantly improve the estimation accuracy. To tackle the inevitable measurement data error or only partially available information, the proposed robust algorithm converts each model input data into one interval with its upper and lower bounds best approximated from historical data or/and prior knowledge. A simulated system, the I-95 freeway corridor between I-495 and I-695, has been created to generate example data and to perform the numerical evaluation of the developed robust algorithm.