… In this paper we present solutions for when the updates span a single or multiple intersections.
We evaluate the proposed algorithms using sparse updates from transit buses in the city …

… on the initial particles of a probe vehicle between its two consecutive updates. Furthermore,
through extracting the NGSIM data at intervals to construct sparse probe vehicular data, the …

… Thus, the posterior distribution p(x i,k|y1:k) is estimated through the iteration of the prediction
and update steps. However, the dimension of the observation vector yk in (10) is equal to …

… with probe vehicles that periodically send location and speed updates to a monitoring …
We show the sparse and uneven distribution of the set of received probe measurements …

… we have sparse observations from probe vehicles traveling through … of link states and probe
vehicle observations. Each circular … M step: Update of the parameters For each link and each …

… Abstract—We consider the problem of reconstructing vehicle trajectories from sparse sequences
… every minute, the vehicle can move quite extensively between updates. The grid step is …

… In order to give further details on the AVT updates we provide a formal description of the bus
… of a vehicle has been restored, we map it back to the road network (see Figure 5), updating …

Probe vehicles equipped with … sparse probe vehicle data, the estimated mean may be too
inaccurate due to the low sample size, and speeds for road links with missing probe vehicle …

… Because the weather changes are gradual, this can be updated at intervals of minutes rather
than … At 10% market penetration, the 1-min sampling is too sparse, producing some sample …

… , a relatively small sample of probes can be used to estimate travel … The model was updated
and modified according to recent … vehicle probes based on historical travel time correlations. …