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Interactive Intersection Analysis using Trajectory Data

Published: 07 November 2017 Publication History

Abstract

Increasingly large volumes of vehicle trajectory data are becoming available. This data holds the potential to offer detailed insight into important aspects of vehicular transportation and road networks. This insight can in turn be utilized to enable a range of important services. Specifically, we demonstrate a system that is capable of leveraging very large collections of GPS trajectories for enabling interactive analyses of traffic in road intersections, which are often bottlenecks in road networks. These analyses are able to provide detailed insight into the time-varying functioning of intersections, and they offer a solid, data-driven foundation for improving the capacity of intersections and the overall road network. The system enables more cost-effective analyses than what is possible with traditional techniques. Demonstration participants will gain first-hand experience with interactive analyses on top of a database of some 40 billion GPS records capturing more than a billion km of driving.

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cover image ACM Conferences
SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 2017
677 pages
ISBN:9781450354905
DOI:10.1145/3139958
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 November 2017

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Author Tags

  1. GNSS
  2. Intersection
  3. traffic analysis
  4. trajectory

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  • Demonstration
  • Research
  • Refereed limited

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SIGSPATIAL'17
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SIGSPATIAL '17 Paper Acceptance Rate 39 of 193 submissions, 20%;
Overall Acceptance Rate 220 of 1,116 submissions, 20%

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