Assessment of connected vehicle information quality for signalised traffic control

Hector Del Pino Verona, Roozbeh Mohammadi*, Claudio Roncoli

*Corresponding author for this work

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

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Abstract

Connected vehicles (CVs) present a great opportunity to smooth and improve traffic flows at intersections thanks to their communication capabilities, which may allow a real-time flow of information with the controllers operating traffic signals. Therefore, it is reasonable to envision that, in the near future, CV data may complement or replace spot detector data that is currently used to operate traffic signals. However, CV data may be affected by errors, such as positioning error, which may depend on the technology that is employed for collecting such information. In this paper, we investigate the performances of different control strategies, namely a strategy that employs only aggregated information, such as queue lengths, and a strategy using disaggregated vehicle-based information, when they are operated with CV data, considering various realistic measurement accuracy settings. Our experiments, conducted via microscopic simulations, show that the disaggregated strategy features better performance and robustness in most of the tested scenarios.
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 Article in a 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

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