So far, a lot of travel time oriented traffic engineering studies that have been carried out for planning, design and part of operation purposes. This study, however, has been motivated for operation and ITS purposes, focusing on the calculation of the optimal number of probe vehicles to guarantee the reliability of link travel times facing the era of ATIS and/or telematics. Ever since the early times of ITS, the issue of probe numbers hasbeen raised. However, the accounting of the trade-offs between the numberof equipped vehicles and the quality of travel time data has not been reflected much in determining the appropriate number of probe vehicles. This paper introduces a statistical network problem solution based on large sampling theory and revised statistical algorithm simultaneously. After comparing link travel times collected from GPS probes and true link travel times surveyed from license plate matching method, the probe number estimationproblem based statistical sampling theory is discussed. For the covering abstract see ITRD E134653.
Abstract