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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

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.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the 20th International IEEE Conference on Intelligent Transportation Systems
JulkaisupaikkaYokohama, Japan
KustantajaIEEE
Sivut1053-1059
Sivumäärä7
ISBN (elektroninen)978-1-5386-1526-3
DOI - pysyväislinkit
TilaJulkaistu - 14 maaliskuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE International Conference on Intelligent Transportation Systems - Yokohama, Japani
Kesto: 16 lokakuuta 201719 lokakuuta 2017
Konferenssinumero: 20

Julkaisusarja

Nimi Proceedings of the IEEE international conference on intelligent transportation systems
KustantajaIEEE
ISSN (elektroninen)2153-0017

Conference

ConferenceIEEE International Conference on Intelligent Transportation Systems
LyhennettäITSC
MaaJapani
KaupunkiYokohama
Ajanjakso16/10/201719/10/2017

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