Addressing the Potential of GNSS Moving Base Station Technique for Vehicular C-ITS Applications: Preliminary Tests and Results

Mpimis, Thanassis; Sotiriou, Panagiotis; Gikas, Vassilis

doi:10.31490/9788024845050-10

Cited by 2 publications

(2 citation statements)

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“…A dual-vehicle scenario with field testing in various environments is considered. In [14] the authors adopt the "moving base station" CP technique by placing two low-cost GNSS receivers on-board the same moving vehicle at a pre-set distance, and then provide preliminary results from the testing of this technique compared to an RTK GNSS solution using a virtual reference station. The experiment was carried out along a 9 km long urban trajectory.…”

Section: Cooperative Positioning Related Workmentioning

confidence: 99%

“…In this work, a dynamic algorithm for assisting the positioning of a target vehicle based on a number of available candidate neighbours is proposed based on Cooperative-Differential GNSS (C-DGNSS). The key idea resides on the basic principle of GNSS differential positioning, not through pseudorange corrections, but phase corrections [11]- [14]. All vehicles in the neighbourhood share their current PVT information, their positioning quality metrics, and GNSS systematic corrections (atmospheric delays, clock errors, orbital data errors) for all satellites (SVs) in view.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Optimal Vehicle Selection for Cooperative Positioning Using Low-Cost GNSS Receivers

Mpimis,

Kapsis,

Gikas

et al. 2023

IEEE Access

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The recent developments in the Global Navigation Satellite Systems (GNSS) and the advent of Intelligent Transportation Systems (ITS) have accelerated the need for accurate, reliable, and robust land vehicle positioning. Current low-cost, single-frequency GNSS receivers are universally available and have already been employed in a variety of urban mobility applications. However, low-cost GNSS receivers provide low (5-15 m) accuracy that deteriorates rapidly in deep urban and harsh environments imposing significant impact on the effectiveness and the reliability of critical ITS services. In this paper, a novel vehicle ranking and selection methodology for cooperative positioning (CP) is developed aiming at capitalizing on low-cost GNSS receivers' potential and for maximizing their benefits in safety-critical vehicular applications. The proposed method is based on the Multi-attribute Decision-Making (MADM) theory and provides a prioritization of the neighbouring vehicles in the vicinity of a target vehicle using criteria related to position accuracy and reliability. By selecting the optimal neighbour vehicle for CP, the low-cost receiver of the target vehicle enhances its location-awareness, and hence, its absolute/relative positioning accuracy. The proposed optimal vehicle selection process was inspired by the Cooperative-Differential GNSS (C-DGNSS) technique. An additional contribution of the proposed methodology is the expansion of the "moving base station" concept for use in ITS. Various MADM algorithms are considered and are simulated employing real experimental data from multiple, low-cost GNSS receivers. The optimal MADM algorithm proposed is TOPSIS because the derived rankings offer maximum stability and similarity with Average Correlation Index (ACI) = 0.78, thus satisfying the requirements for critical applications.INDEX TERMS Accuracy improvement, cooperative positioning, global navigation satellite system (GNSS), intelligent transportation systems (ITS), low-cost gnss, multi-attribute decision-making (MADM), nmea, ranking methods, rtcm, topsis, vanets, vehicular networks.

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Section: Cooperative Positioning Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%