Generating Believable Mixed-Traffic Animation

Wen-Chieh Lin, Sai-Keung Wong, Cheng Hsing Li, Richard Tseng

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We present an agent-based approach to animate microscopic mixed traffic involving cars and motorcycles in complex scenarios, including signalized and nonsignalized road intersections, and traffic jams due to blockage. Based on our new car-following and lateral movement models, our method can reproduce lane-based and nonlane-based traffic behaviors that are commonly seen in urban scenes. Our dynamic routing and intersection procedures enable a user to interactively control the movement of a car, and our system generates the microscopic behaviors of the influenced vehicles accordingly. Experimental results show that our approach can animate appealing microscopic mixed traffic with various behaviors. Our approach will benefit applications in virtual cities, computer games, and driving simulators.

Original languageEnglish
Article number7464877
Pages (from-to)3171-3183
Number of pages13
JournalIEEE Transactions on Intelligent Transportation Systems
Volume17
Issue number11
DOIs
StatePublished - 1 Nov 2016

Keywords

  • Microscopic traffic animation
  • mixed-traffic animation

Fingerprint Dive into the research topics of 'Generating Believable Mixed-Traffic Animation'. Together they form a unique fingerprint.

Cite this