Validation of a per-lane traffic state estimation scheme for highways with connected vehicles

Sofia Papadopoulou, Claudio Roncoli, Nikolaos Bekiaris-Liberis, Ioannis Papamichail, Markos Papageorgiou

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


This study presents a thorough microscopic simulation investigation of a recently developed model-based approach for per-lane density estimation, as well as on-ramp and off-ramp flow estimation, for highways in the presence of connected vehicles. The estimation methodology is mainly based on the assumption that a certain percentage of vehicles is equipped with Vehicle Automation and Communication Systems (VACS), which provide the necessary measurements used by the estimator, namely vehicle speed and position measurements. In addition, a minimum number of conventional flow detectors is needed. In the investigation, a calibrated and validated, with real data, microscopic multi-lane model is employed, which concerns a stretch of motorway A20 from Rotterdam to Gouda in the Netherlands. It is demonstrated that the proposed methodology provides satisfactory estimation performance even for low penetration rates of connected vehicles.
Original languageEnglish
Title of host publicationProceedings of the 20th International IEEE Conference on Intelligent Transportation Systems
Place of PublicationYokohama, Japan
Number of pages7
ISBN (Electronic)978-1-5386-1526-3
Publication statusPublished - 14 Mar 2018
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Intelligent Transportation Systems - Yokohama, Japan
Duration: 16 Oct 201719 Oct 2017
Conference number: 20

Publication series

Name Proceedings of the IEEE international conference on intelligent transportation systems
ISSN (Electronic)2153-0017


ConferenceIEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC


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