A decomposition scheme for estimating dynamic origin–destination flows on actuation-controlled signalized arterials

This paper presents a decomposition framework for estimating dynamic origin–destination (O–D) flows on actuation-controlled signalized arterials from link counts, mainly addressing the issues of incomplete information and the large number of O–D pairs. The framework decomposes the original high-dimensional problem into much smaller sub-problems at the intersection and corridor levels. At the intersection level, turning movements are inferred with incomplete information; at the corridor level, the final estimates of O–D flows are constructed as weighted averages of the estimates from the column and row decompositions. Numerical examples are presented to demonstrate the effectiveness and the computational efficiency of the decomposition framework.