Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  describe an efficient indexing method for a shape-based similarity search of the trajectory of dynamically changing locations of people and mobile objects. In order to manage trajectories in database systems,  define a data model of trajectories as directed lines in a space, and the similarity beten trajectories is defined as the Euclidean distance beten directed discrete lines. Our proposed similarity query can be used to find interested patterns embedded into the trajectories, for example, the trajectories of mobile cars in a city may include patterns for expecting traffic jams. Furthermore,  propose an efficient indexing method to retrieve similar trajectories for a query by combining a spatial indexing technique (R + -Tree) and a dimension reduction technique, which is called PAA (Piecewise Approximate Aggregate). The indexing method can efficiently retrieve trajectories whose shape in a space is similar to the shape of a candidate trajectory from the database.
['Yutaka Yanagisawa', 'Jun-ichi Akahani', 'Tetsuji Satoh']
I am writing a research paper on a idea Shape-based similarity query for trajectory of mobile objects
[{"from": "human", "value": "I am writing a research paper on a idea Shape-based similarity query for trajectory of mobile objects"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  describe an efficient indexing method for a shape-based similarity search of the trajectory of dynamically changing locations of people and mobile objects. In order to manage trajectories in database systems,  define a data model of trajectories as directed lines in a space, and the similarity beten trajectories is defined as the Euclidean distance beten directed discrete lines. Our proposed similarity query can be used to find interested patterns embedded into the trajectories, for example, the trajectories of mobile cars in a city may include patterns for expecting traffic jams. Furthermore,  propose an efficient indexing method to retrieve similar trajectories for a query by combining a spatial indexing technique (R + -Tree) and a dimension reduction technique, which is called PAA (Piecewise Approximate Aggregate). The indexing method can efficiently retrieve trajectories whose shape in a space is similar to the shape of a candidate trajectory from the database."}]