Using e-bikes and private cars in dynamic road pavement monitoring

Shtayat, Amir; Moridpour, Sara; Best, Berthold

doi:10.1016/j.ijtst.2021.03.004

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…Most studies of smartphone-based data collection methods either focus on pavement performance evaluation and estimation of pavement quality indexes [16,17,[19][20][21], or on anomaly detection [15,18], with a prominent focus on pothole identification. While built-in accelerometer sensors are the most used in smartphone-based systems [14][15][16]20,[22][23][24]26,27], there are systems that use cameras [18,25] and microphones as data collection methods.…”

Section: Smartphone-based Methodsmentioning

confidence: 99%

Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Amândio¹,

Parente²,

Neves

et al. 2021

Buildings

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Nowadays, pavement management systems (PMS) are mainly based on monitoring processes that have been established for a long time, and strongly depend on acquired experience. However, with the emergence of smart technologies, such as internet of things and artificial intelligence, PMS could be improved by applying these new smart technologies to their decision support systems, not just by updating their data collection methodologies, but also their data analysis tools. The application of these smart technologies to the field of pavement monitoring and condition evaluation will undoubtedly contribute to more efficient, less costly, safer, and environmentally friendly methodologies. Thus, the main drive of the present work is to provide insight for the development of future decision support systems for smart pavement management by conducting a systematic literature review of the developed works that apply smart technologies to this field. The conclusions drawn from the analysis allowed for the identification of a series of future direction recommendations for researchers. In fact, future PMS should tend to be capable of collecting and analyzing data at different levels, both externally at the surface or inside the pavement, as well as to detect and predict all types of functional and structural flaws and defects.

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Section: Smartphone-based Methodsmentioning

confidence: 99%

Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Amândio¹,

Parente²,

Neves

et al. 2021

Buildings

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“…To manually calculate the heart rate, you can use a stethoscope as a measuring device to manually determine the heart rate status. Similarly, heart rate is one of the factors that measure a person's health and can be observed with an increase in resting pulse rate [20]. Heart rate is also a factor in measuring a person's health and can be observed with an increase in resting heart rate.…”

Section: Heart Rate Standardmentioning

confidence: 99%

Design and Build a Distance and Heart Rate Monitoring System on a Dynamic Bike Integrated with Power Generating System

Nugraha¹

2022

j.electron.electromedical.eng.med.inform

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One of the organs of the body that must be protected is the heart. The heart is an organ of the human body that performs important functions to sustain life. Maintaining health is a top priority and requires careful attention, so small abnormalities in the heart can have a big impact on our body's performance [2]. In addition to the rapid development of the field of health sciences, this can affect not only aspects of medicine, but also other supporting fields of science such as chemistry, biology, pharmacy and other scientific fields. Don't forget that informatics plays an important role in maintaining, monitoring, diagnosing, and managing health, especially heart health. With the development of medical science, people are always active in improving their physical fitness in order to remain optimal in the current new normal era. After the Covid-19 pandemic, many things change to adapt to the environment around us. One of the implications of the adjustment in the new normal era is the use of transportation for social distancing. Many people use environmentally friendly and healthy modes of transportation, such as bicycles, to travel. In 2016, Deshmukh and colleagues conducted a study entitled 'Design of a Walking Bike', one of several developments in the title of research that discusses the design of a treadmill bicycle [5]. In this study, a mechanical test and design of a treadmill bicycle was carried out in the form of 3D modeling which had been integrated with a power generating system in the form of adding a BLDC motor to the rear wheel. By following the rapid development of technology. The authors investigated the effect of treadmill cycling on heart rate monitoring using the MAX30102 sensor. The two initial values can easily be derived from the results of the conducted studies. The first test has an error rate of 12.64% and the second test has an error rate of 22.09%. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing.

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“…Moving sensors, instead, exploit the potential of crowd computing and measurement, since they are represented by personal (i.e., smartphones) or driver-based sensors (i.e., sensors on vehicles) for collecting data during driving. The elaboration of their information can provide huge quantities of data (big data) in real-time, allowing an effective continuous evaluation of asset condition (see 6,9,[20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

Praticò

Bosurgi

Bruneo

et al. 2022

Structural Contr & Hlth

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Especially in urban contexts, the detection of damages in road infrastructures is crucial for their management and efficiency. This entails complex measurement chains. Several solutions were already developed and applied (e.g., high speed monitoring systems or sensor-based systems), but the emerging smart city and smart road paradigms call for innovations in these fields. A possible solution could be the development of smart, non-intrusive, and sustainable sensing systems able to perform continuous monitoring, allowing automatic and timely generation of alarms and proper maintenance strategies from Road Management Systems (RMSs). Consequently, this study aims to demonstrate the feasibility of integrating miniaturized sensing systems with high-speed monitoring systems, to obtain innovative RMSs. In this regard, a specific webbased platform, the core of a Smart RMS, properly defined to acquire, correlate, and exploit data from several sources was developed. To this end, highperformance monitoring systems, an innovative sensing system (i.e., based on miniaturized devices and on feature-and signature-based methods), and Micro-electromechanical systems (i.e., smartphones accelerometers) were used. A new set of indicators has been set up and partly validated in the pursuit of setting out a new paradigm where Pavement Management Systems are supposed to become urban-oriented and less expensive. Results show that combining traditional and innovative solutions allows providing a comprehensive overview of both the structural condition and the performance of road infrastructures. This information could be used to exponentially improve the efficiency of current RMSs in forecasting the occurrence of damages and in scheduling more effective and sustainable management interventions.

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Using e-bikes and private cars in dynamic road pavement monitoring

Cited by 10 publications

References 28 publications

Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Design and Build a Distance and Heart Rate Monitoring System on a Dynamic Bike Integrated with Power Generating System

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

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