Real-virtual fusion model for traffic animation

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Author(s)

  • Xin Yang
  • Jian Deng
  • Xiaogang Jin
  • Guozhen Tan
  • Zhigeng Pan

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article numbere1740
Journal / PublicationComputer Animation and Virtual Worlds
Volume28
Issue number6
Online published12 Oct 2016
Publication statusPublished - Nov 2017

Abstract

In this paper, we present an innovative, animated traffic simulation method that we designed to feature an enhanced sense of reality and diversity of traffic flows. Instead of the typical one-off initialization, our simulation method includes continuous, real trajectory data input providing an interactive control function that maximizes the characteristics of real-world traffic flows. Our fusion models represent a comprehensive integration of the interactions among real-data-driven and virtual vehicles, thus depicting accurately the irregularity of traffic flows. Test results showed that animations generated via our proposed method depict inverse and irregular vehicle driving behaviors throughout the entire traffic flow.

Research Area(s)

  • fusion model, interactive simulation, traffic animation

Citation Format(s)

Real-virtual fusion model for traffic animation. / Yang, Xin; Su, Wanchao; Deng, Jian; Jin, Xiaogang; Tan, Guozhen; Pan, Zhigeng.

In: Computer Animation and Virtual Worlds, Vol. 28, No. 6, e1740, 11.2017.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review