Acceleration measurements inside vehicles: Passengers’ comfort mapping on railways

Zoccali, Pablo; Loprencipe, Giuseppe; Lupascu, Robert Cristian

doi:10.1016/j.measurement.2018.07.079

Cited by 31 publications

(20 citation statements)

References 21 publications

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“…In order to have a correct interpretation of the results obtained from the proposed prototypes SENSOR#1 and SENSOR#2 during the measurement campaigns also additional instruments were used: LandMark 10 GPSA-150-10-200, a precision measuring instrument [ 75 ] with sampling frequency equal to 100 Hz. Post-processing acceleration data recorded from this IMU was aimed to obtain the frequency-weighted vertical acceleration a wz considering analysis times by one second each; “Cartesio” road asset collection system using three RSPs (PaveProf V2.0, PaveTesting, Letchworth Garden City Hertfordshire, UK [ 76 ]) able to measure the road profiles in the left and right wheel paths as well as in the center lane ( Figure 7 ).…”

Section: Field Tests For System Validationmentioning

confidence: 99%

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Validation of a Low-Cost Pavement Monitoring Inertial-Based System for Urban Road Networks

Loprencipe

Filho

Oliveira

et al. 2021

Sensors

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Road networks are monitored to evaluate their decay level and the performances regarding ride comfort, vehicle rolling noise, fuel consumption, etc. In this study, a novel inertial sensor-based system is proposed using a low-cost inertial measurement unit (IMU) and a global positioning system (GPS) module, which are connected to a Raspberry Pi Zero W board and embedded inside a vehicle to indirectly monitor the road condition. To assess the level of pavement decay, the comfort index awz defined by the ISO 2631 standard was used. Considering 21 km of roads with different levels of pavement decay, validation measurements were performed using the novel sensor, a high performance inertial based navigation sensor, and a road surface profiler. Therefore, comparisons between awz determined with accelerations measured on the two different inertial sensors are made; in addition, also correlations between awz, and typical pavement indicators such as international roughness index, and ride number were also performed. The results showed very good correlations between the awz values calculated with the two inertial devices (R2 = 0.98). In addition, the correlations between awz values and the typical pavement indices showed promising results (R2 = 0.83–0.90). The proposed sensor may be assumed as a reliable and easy-to-install method to assess the pavement conditions in urban road networks, since the use of traditional systems is difficult and/or expensive.

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Section: Field Tests For System Validationmentioning

confidence: 99%

“…LandMark 10 GPSA-150-10-200, a precision measuring instrument [ 75 ] with sampling frequency equal to 100 Hz. Post-processing acceleration data recorded from this IMU was aimed to obtain the frequency-weighted vertical acceleration a wz considering analysis times by one second each;…”

Section: Field Tests For System Validationmentioning

confidence: 99%

Validation of a Low-Cost Pavement Monitoring Inertial-Based System for Urban Road Networks

Loprencipe

Filho

Oliveira

et al. 2021

Sensors

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“…• LandMark 10 GPSA-150-10-200, a precision measuring instrument [75] with sampling frequency equal to 100 Hz. Post-processing acceleration data recorded from this In order to have a correct interpretation of the results obtained from the proposed prototypes SENSOR#1 and SENSOR#2 during the measurement campaigns also additional instruments were used:…”

Section: Field Tests For System Validationmentioning

confidence: 99%

Validation of Low-Cost Pavement Monitoring Inertial Sensor for Urban Road Network

Loprencipe¹,

FGVdA²,

RHd³

et al. 2021

Preprint

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Road networks are monitored to evaluate their decay level and the performances regarding ride comfort, vehicle rolling noise, fuel consumption, etc. In this study, an Inertial Measurement Unit is proposed by using a low-cost three-axis Micro-Electro-Mechanical Systems accelerometer and a GPS instrument, which are connected to a Raspberry Pi Zero W board and embedded inside a vehicle to monitor indirectly the road condition. To assess the level of pavement decay, the comfort index awz defined by the ISO 2631 standard was considered. Considering 21 km of roads, with different levels of pavement decay, validation measures made using the proposed IMU, another pre-assembled IMU, and a Road Surface Profiler were performed. Therefore, comparisons between awz determined with accelerations measured on the two different IMU are made; in addition, also correlations between awz, International Roughness Index (IRI), and Ride Number (RN) were performed. The results were shown very good correlations between the awz calculated with the proposed IMU and ones in the other IMU. In addition, the correlations between awz and IRI and RN were showed promising results, considering the use and the costs of the proposed IMU as a reliable method to assess the pavements decay in road networks where the use of traditional systems is difficult and/or not cheap.

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“…Therefore, there is a need to monitor trackages, both at the construction stage and during operation [ 3 ]. The assessment of railway track is important not only for assurance of a high level of rail transport, but it is also necessary for providing high-quality transport services, as described in [ 4 ]. For the assessment of railway track geometry, track gauges and measuring trolleys are used, whose application examples can be found in the literature on the subject, e.g., in [ 5 ] or in [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Least Squares with Conditional Equations Method for Railway Track Inventory Using GNSS Observations

Czaplewski

Wiśniewski

Specht

et al. 2020

Sensors

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Satellite geodetic networks are commonly used in surveying tasks, but they can also be used in mobile surveys. Mobile satellite surveys can be used for trackage inventory, diagnostics and design. The combination of modern technological solutions with the adaptation of research methods known in other fields of science offers an opportunity to acquire highly accurate solutions for railway track inventory. This article presents the effects of work carried out using a mobile surveying platform on which Global Navigation Satellite System (GNSS) receivers were mounted. The satellite observations (surveys) obtained were aligned using one of the methods known from classical land surveying. The records obtained during the surveying campaign on a 246th km railway track section were subjected to alignment. This article provides a description of the surveying campaign necessary to obtain measurement data and a theoretical description of the method employed to align observation results as well as their visualisation.

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Acceleration measurements inside vehicles: Passengers’ comfort mapping on railways

Cited by 31 publications

References 21 publications

Validation of a Low-Cost Pavement Monitoring Inertial-Based System for Urban Road Networks

Validation of a Low-Cost Pavement Monitoring Inertial-Based System for Urban Road Networks

Validation of Low-Cost Pavement Monitoring Inertial Sensor for Urban Road Network

Application of Least Squares with Conditional Equations Method for Railway Track Inventory Using GNSS Observations

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