Projects per year
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 language | English |
---|---|
Title of host publication | 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021 |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-8995-6 |
DOIs | |
Publication status | Published - 16 Jun 2021 |
MoE publication type | A4 Conference publication |
Event | IEEE International Conference on Models and Technologies for Intelligent Transportation Systems - Online, Heraklion, Greece Duration: 16 Jun 2021 → 17 Jun 2021 Conference number: 7 https://ieeexplore.ieee.org/xpl/conhome/9529260/proceeding https://www.mt-its2021.tse.bgu.tum.de/ |
Conference
Conference | IEEE International Conference on Models and Technologies for Intelligent Transportation Systems |
---|---|
Abbreviated title | MT-ITS |
Country/Territory | Greece |
City | Heraklion |
Period | 16/06/2021 → 17/06/2021 |
Internet address |
Keywords
- queue length
- traffic management
- high resolution data
- trajectory data
- clustering
Fingerprint
Dive into the research topics of 'Queue Profile Identification at Signalized Intersections with High-Resolution Data from Drones'. Together they form a unique fingerprint.Projects
- 1 Active
-
FinEst Twins: FinEst Twins
Nieminen, M. (Principal investigator)
01/12/2019 → 30/11/2026
Project: EU: Framework programmes funding