Queue Profile Identification at Signalized Intersections with High-Resolution Data from Drones

Qishen Zhou, Roozbeh Mohammadi*, Weiming Zhao, Kaihang Zhang, Lihui Zhang, Yibing Wang, Claudio Roncoli, Simon Hu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

7 Citations (Scopus)
200 Downloads (Pure)

Abstract

Queue profile is a crucial measure for traffic management in the vicinity of signalized intersections. In this study, we develop a method to identify queue profile using high resolution data, which can be provided from various sources such as drones. Our methodology has three main components which are signal state estimation, queue profile identification, and lane detection. The developed algorithms are tested on the real-world dataset collected by drones as a case study for validation. Remarkably, our method only uses drone data as input and it is independent from any other data source such as geographic information system data. The results demonstrate satisfactory performance of the methodology in extracting queue profile information from raw drone data. The developed algorithm can be also applied on data collected via connected vehicles in future.
Original languageEnglish
Title of host publication2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-7281-8995-6
DOIs
Publication statusPublished - 16 Jun 2021
MoE publication typeA4 Conference publication
EventIEEE International Conference on Models and Technologies for Intelligent Transportation Systems - Online, Heraklion, Greece
Duration: 16 Jun 202117 Jun 2021
Conference number: 7
https://ieeexplore.ieee.org/xpl/conhome/9529260/proceeding
https://www.mt-its2021.tse.bgu.tum.de/

Conference

ConferenceIEEE International Conference on Models and Technologies for Intelligent Transportation Systems
Abbreviated titleMT-ITS
Country/TerritoryGreece
City Heraklion
Period16/06/202117/06/2021
Internet address

Keywords

  • queue length
  • traffic management
  • high resolution data
  • trajectory data
  • clustering

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  • FinEst Twins: FinEst Twins

    Nieminen, M. (Principal investigator)

    01/12/201930/11/2026

    Project: EU: Framework programmes funding

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