Sentence examples for traffic trajectory from inspiring English sources

The interaction rule is formulated as a multinomial logit model, which is calibrated by using a microscopic traffic trajectory dataset obtained from video footage.

As one of the pioneering attempts to highway traffic trajectory control, Part I of this study (Zhou et al., 2016) proposed a parsimonious shooting heuristic (SH) algorithm for constructing feasible trajectories for a stream of vehicles considering realistic constraints including vehicle kinematic limits, traffic arrival patterns, car-following safety, and signal operations.

According to our formula, which uses 1,200 comparable private company histories, as well as dozens of current public signals — ranging from web traffic trajectories, investment history, employee growth, Google searches and customer reviews — the top 20 unicorns are already overvalued by an average of 27percentt.

The detailed traffic trajectories need more computational power, but the algorithms are cost-efficient and are likely very well suited for parallel algorithms, since each trajectory is calculated independently of the other trajectories.

The traditional way of deriving traffic flow trajectories relies on manual vehicle counting from a sequence of aerial photographs.

In order to maximize benefits from these technologies on highway traffic management, vehicle trajectories need to be not only controlled at the individual level but also coordinated collectively for a stream of traffic.

In this study, we use two mobile phone datasets including the hourly antenna-to-antenna traffic and individual trajectories for (50mbox000) customers for two weeks with a spatial resolution down to the individual antenna.

Using the proposed CA model, we analyze the space time diagram of traffic flow and the trajectory of train movement, etc.

The most notable constraints imposed upon vehicle trajectories in traffic video surveillance are summarized below.

In the second layer, the Social Force Model (SFM) is modified and extended for mixed traffic to produce feasible trajectories.

This paper lays out a typology of network flows based on two dimensions of variation, namely the kinds of trajectories that traffic may follow (geodesics, paths, trails, or walks) and the method of spread (broadcast, serial replication, or transfer).