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

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

47 Lataukset (Pure)

Abstrakti

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.
AlkuperäiskieliEnglanti
Otsikko2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
KustantajaIEEE
Sivumäärä6
ISBN (elektroninen)978-1-7281-8995-6
DOI - pysyväislinkit
TilaJulkaistu - 16 kesäk. 2021
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE International Conference on Models and Technologies for Intelligent Transportation Systems - Online, Heraklion, Kreikka
Kesto: 16 kesäk. 202117 kesäk. 2021
Konferenssinumero: 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
LyhennettäMT-ITS
Maa/AlueKreikka
Kaupunki Heraklion
Ajanjakso16/06/202117/06/2021
www-osoite

Sormenjälki

Sukella tutkimusaiheisiin 'Queue Profile Identification at Signalized Intersections with High-Resolution Data from Drones'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä