Predicting Attainable Region of Vehicle Using Trajectory Clustering
نویسندگان
چکیده
Some traffic monitoring systems have been proposed for predicting behaviors of vehicles. However, a few attempts have been made at estimating how vehicles influence each other at some time point in the near future. In order to estimate such interactions, we introduce a concept of Attainable Region to predict future behaviors of vehicles. Attainable Region is efficient to estimate interactions between vehicles in the near future. Through evaluation experiments, we show the feasibility of prediction with Attainable Region.
منابع مشابه
A Method for Calculating Future Behaviors of Vehicles toward Effective Collision Prediction
There are many accidents in traffic intersections because of complicated situations. In order to prevent the accidents, collisions between vehicles should be predicted and drivers should be alerted by in-car systems as soon as possible. Our research viewpoint is to detect possible collisions by predicting vehicle behaviors. We propose a region-based approach that uses “attainable region” for pr...
متن کاملTraClass: trajectory classification using hierarchical region-based and trajectory-based clustering
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-world applications. A number of methods have been reported in the literature, but due to using the shapes of whole trajectories for classification, they have limited classification capability when discriminative features a...
متن کاملTrajectory Optimization for a Multistage Launch Vehicle Using Nonlinear Programming
This work is an example of application of nonlinear programming to a problem of three-dimensional trajectory optimization for multistage launch vehicles for geostationary orbit missions. The main objective is to minimize fuel consumption or equivalently to maximize the payload. The launch vehicle considered here, Europa-II, consists of 5 thrust phases and 2 coast phases. Major parameters of the...
متن کاملAssessment of the Performance of Clustering Algorithms in the Extraction of Similar Trajectories
In recent years, the tremendous and increasing growth of spatial trajectory data and the necessity of processing and extraction of useful information and meaningful patterns have led to the fact that many researchers have been attracted to the field of spatio-temporal trajectory clustering. The process and analysis of these trajectories have resulted in the extraction of useful information whic...
متن کاملTrajectory Pattern Mining via Clustering based on Similarity Function for Transportation Surveillance
Recently, surveillance on moving vehicles for traffic flow monitoring has emerging in rapid rate. A comprehensive traffic data, that is vehicle trajectory, is selected as reliable data for discovering the underlying pattern via trajectory mining. As the task of monitoring moving vehicles via vehicle trajectory dataset can be tedious, researchers are keen to provide solutions that reducing the t...
متن کامل