Trajectories for Novel and Detailed Traffic Information

Benjamin Bjerre Krogh, Ove Andersen, Kristian Torp

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)

Abstract

Trajectories based on GPS tracks have been studied for a number of years but only to a limited degree been used for analyzing and monitoring traffic. This paper shows how novel and important information about traffic can be computed from trajectories. Concretely the paper proposes to compute the central metric free-flow speed from trajectories, instead of using point-based measurements such as induction-loops. This free-flow speed is widely used to compute and monitor the congestion level. The paper argues that the actual travel-time is a more accurate metric. The paper suggests a novel approach to analyzing individual intersections that enables traffic analysts to compute queue lengths and estimated time to pass an intersection. Finally, the paper uses associative rule mining for evaluating green waves on road stretches. Such information can be used to verify that signalized intersections are correctly coordinated, and navigational device manufacturers to advice drivers in real-time on expected behavior of signalized intersections. The main conclusion is that trajectories can provide novel insight into the actual traffic situation that is not possible using existing approaches. Further, extracting this information requires no expensive changes to the road-network infrastructure, which is a problem with the technologies currently used.
Original languageEnglish
Title of host publication3rd ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS) 2012
Number of pages8
PublisherAssociation for Computing Machinery
Publication date6 Nov 2012
Edition3
Pages32-39
ISBN (Print)978-1-4503-1695-8
DOIs
Publication statusPublished - 6 Nov 2012
Event3rd ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS) 2012 - Redondo Beach, California, United States
Duration: 6 Nov 20126 Nov 2012
Conference number: 3rd

Conference

Conference3rd ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS) 2012
Number3rd
CountryUnited States
CityRedondo Beach, California
Period06/11/201206/11/2012

Bibliographical note

Received IWGS Best Paper Award

Keywords

  • trajectories
  • traffic analysis
  • spatio-temporal data-mining

Fingerprint Dive into the research topics of 'Trajectories for Novel and Detailed Traffic Information'. Together they form a unique fingerprint.

Cite this