Earticle

초록

영어

The real-world data process of large spatio-temporal data collection presents a very difficult technical problem. Firstly, the given process is very expensive, requiring a lot of various high-technology software instruments and modern hardware infrastructure (sensors, servers, GPS infrastructure etc.) installations; secondly, this process sometimes cannot show special traffic patterns, which we may characterize as patterned traffic trajectories. The Arena simulation framework introduced in this paper uses our suggested random linear interpolation algorithm and spatio-temporal prediction algorithm, which are applicable to visualize, handle and predict movement data with various time resolutions.

목차

Abstract
 1. Introduction
  1.1. Simulation Modeling
  1.2. Problem Definition
  1.3. Motivation
  1.4. Proposed Problem Solution
  1.5. Arena Simulation Software
 2. Background
 3. Simulation Model
  3.1. Overview
  3.2. Map Segment Representation
  3.3. Representation of Intersections
  3.4 Trajectory Representations
  3.5. Trajectory Construction
  3.6. Traffic Road Construction
 4. The Spatio-Temporal Data Simulation and Collection
 5. The Spatio-Temporal Prediction Algorithm Evaluation
 6. Conclusions
 References

키워드

저자

• Dima Alberg [ SCE Shamoon College of Engineering Industrial Engineering and Management Department ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605