Traffic density is one of the important variables to identify traffic states, which attracts a lot of attention form both traffic management and Statistics Netherlands. In this paper, we aim to validate the usage of GPS information on estimating traffic density for traffic statistics. Our method of traffic density estimation is based on the definition of traffic density and the combination of loop detector and GPS data. Then the estimated dynamic density is scaled up to the whole road network to be used for official statistics. As such, it provides dynamic information and offers opportunities to reduce administrative burdens in statistics office.

, , , ,
hdl.handle.net/1765/80178
11th TRAIL Congress
Rotterdam School of Management (RSM), Erasmus University

Ma, Y., van Dalen, J., de Blois, C., & Kroon, L. (2010). Estimation of Dynamice Traffic Density for Official Statisitcs based on Conbined Use of GPS and Loop Detector Data. Presented at the 11th TRAIL Congress. Retrieved from http://hdl.handle.net/1765/80178