Virtualized Traffic: Reconstructing Traffic Flows from Discrete Spatiotemporal Data

This research presents a novel concept, Virtualized Traffic, to reconstruct and visualize continuous traffic flows from discrete spatiotemporal data provided by traffic sensors or generated artificially to enhance a sense of immersion in a dynamic virtual world. Given the positions of each car at 2 recorded locations on a highway and the corresponding time instances, the approach can reconstruct the traffic flows (i.e., the dynamic motions of multiple cars over time) between the 2 locations along the highway for immersive visualization of virtual cities or other environments. The algorithm is applicable to high-density traffic on highways with an arbitrary number of lanes and takes into account the geometric, kinematic, and dynamic constraints on the cars. The novel method reconstructs the car motion that automatically minimizes the number of lane changes, respects safety distance to other cars, and computes the acceleration necessary to obtain a smooth traffic flow subject to the given constraints. Furthermore, the framework can process a continuous stream of input data in real time, enabling the users to view virtualized traffic events in a virtual world as they occur. The new reconstruction technique is demonstrated with both synthetic and real-world input.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10772626
• Authors:
  • Sewall, Jason
  • van den Berg, Jur
  • Lin, Ming C
  • Manocha, Dinesh
• Publication Date: 2011-1

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References;
• Pagination: pp 26-37
• Serial:
  • IEEE Transactions on Visualization and Computer Graphics
  • Volume: 17
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1077-2626

Subject/Index Terms

• TRT Terms: Algorithms; Discrete systems; Real time information; Traffic engineering; Traffic flow; Virtual reality
• Uncontrolled Terms: Spatiotemporal data; Traffic reconstruction
• Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 01339960
• Record Type: Publication
• Files: TRIS
• Created Date: May 18 2011 10:51AM