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

doi:10.1109/ITSC.2017.8317704

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

Technical University of Crete

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of the 20th International IEEE Conference on Intelligent Transportation Systems
Place of Publication	Yokohama, Japan
Publisher	IEEE
Pages	1053-1059
Number of pages	7
ISBN (Electronic)	978-1-5386-1526-3
DOIs	https://doi.org/10.1109/ITSC.2017.8317704
Publication status	Published - 14 Mar 2018
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Intelligent Transportation Systems - Yokohama, Japan Duration: 16 Oct 2017 → 19 Oct 2017 Conference number: 20

Publication series

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

Conference

Conference	IEEE International Conference on Intelligent Transportation Systems
Abbreviated title	ITSC
Country/Territory	Japan
City	Yokohama
Period	16/10/2017 → 19/10/2017

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10.1109/ITSC.2017.8317704

Cite this

Papadopoulou, S., Roncoli, C., Bekiaris-Liberis, N., Papamichail, I., & Papageorgiou, M. (2018). Validation of a per-lane traffic state estimation scheme for highways with connected vehicles. In Proceedings of the 20th International IEEE Conference on Intelligent Transportation Systems (pp. 1053-1059). ( Proceedings of the IEEE international conference on intelligent transportation systems). IEEE. https://doi.org/10.1109/ITSC.2017.8317704

Papadopoulou, Sofia ; Roncoli, Claudio ; Bekiaris-Liberis, Nikolaos et al. / Validation of a per-lane traffic state estimation scheme for highways with connected vehicles. Proceedings of the 20th International IEEE Conference on Intelligent Transportation Systems . Yokohama, Japan : IEEE, 2018. pp. 1053-1059 ( Proceedings of the IEEE international conference on intelligent transportation systems).

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title = "Validation of a per-lane traffic state estimation scheme for highways with connected vehicles",

abstract = "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.",

author = "Sofia Papadopoulou and Claudio Roncoli and Nikolaos Bekiaris-Liberis and Ioannis Papamichail and Markos Papageorgiou",

year = "2018",

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doi = "10.1109/ITSC.2017.8317704",

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note = "IEEE International Conference on Intelligent Transportation Systems, ITSC ; Conference date: 16-10-2017 Through 19-10-2017",

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Papadopoulou, S, Roncoli, C, Bekiaris-Liberis, N, Papamichail, I & Papageorgiou, M 2018, Validation of a per-lane traffic state estimation scheme for highways with connected vehicles. in Proceedings of the 20th International IEEE Conference on Intelligent Transportation Systems . Proceedings of the IEEE international conference on intelligent transportation systems, IEEE, Yokohama, Japan, pp. 1053-1059, IEEE International Conference on Intelligent Transportation Systems, Yokohama, Japan, 16/10/2017. https://doi.org/10.1109/ITSC.2017.8317704

Validation of a per-lane traffic state estimation scheme for highways with connected vehicles. / Papadopoulou, Sofia; Roncoli, Claudio; Bekiaris-Liberis, Nikolaos et al.
Proceedings of the 20th International IEEE Conference on Intelligent Transportation Systems . Yokohama, Japan: IEEE, 2018. p. 1053-1059 ( Proceedings of the IEEE international conference on intelligent transportation systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - 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.

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Papadopoulou S, Roncoli C, Bekiaris-Liberis N, Papamichail I, Papageorgiou M. Validation of a per-lane traffic state estimation scheme for highways with connected vehicles. In Proceedings of the 20th International IEEE Conference on Intelligent Transportation Systems . Yokohama, Japan: IEEE. 2018. p. 1053-1059. ( Proceedings of the IEEE international conference on intelligent transportation systems). doi: 10.1109/ITSC.2017.8317704

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

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