Real-time traffic estimation using data expansion

Publication year: 2011
Source: Transportation Research Part B: Methodological, In Press, Corrected Proof, Available online 14 June 2011

Roger, Lederman , Laura, Wynter

This paper presents a method for estimating missing real-time traffic volumes on a road network using both historical and real-time traffic data. The method was developed to address urban transportation networks where a non-negligible subset of the network links do not have real-time link volumes, and where that data is needed to populate other real-time traffic analytics. Computation is split between an offline calibration and a real-time estimation phase. The offline phase determines link-to-link splitting probabilities for traffic flow propagation that are subsequently used in real-time estimation. The real-time procedure uses current traffic data and is efficient enough to scale…

 Highlights: ► We present a method for estimating missing traffic volumes on an urban road network in real-time. ► Estimates of missing data are based on traffic equilibrium principles. ► The approach was developed to place the time-consuming computation in an offline phase. ► The objective is to have a real-time phase which is scalable to full city-wide deployments. ► The value of real-time data increases with variability and the proportion of links missing data.