Vibration-Based System for Pavement Condition Evaluation

Yu, Bill; Yu, Xianbao

doi:10.1061/40799(213)31

Cited by 87 publications

(41 citation statements)

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“…Yu and Yu [9] have proposed a preliminary pavement condition survey. In analogy to cameras ''looking'' at pavement surface, an accelerometer ''feels'' the ground conditions based on the vehicle's mechanical responses.…”

Section: State Of Research In Automated Pothole Detectionmentioning

confidence: 99%

“…In analogy to cameras ''looking'' at pavement surface, an accelerometer ''feels'' the ground conditions based on the vehicle's mechanical responses. The advantages of a vibration-based system have been identified as requiring small storage, being cost-effective and amenable for real-time processing [9]. The projects BusNet [10] and Pothole Patrol [11] share the same basic idea of combining vibration sensors with GPS and using mobile nodes to sense road conditions in terms of pothole detection and positioning.…”

Section: State Of Research In Automated Pothole Detectionmentioning

confidence: 99%

“…This paper focuses on pothole defects. Existing research work in pothole detection can be divided into 3D pavement reconstruction methods [4,5] employing 3D laser scanning [6] and stereo-vision [7,8], and vibration-based approaches using acceleration sensors [9][10][11][12]. While the former basically suffer from high equipment costs and high computational effort, the latter are only intended for preliminary and rough condition surveys and therefore lack accuracy and reliability [9,11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Pothole detection in asphalt pavement images

Koch

Brilakis

2011

Advanced Engineering Informatics

458

220

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Section: State Of Research In Automated Pothole Detectionmentioning

confidence: 99%

Section: State Of Research In Automated Pothole Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pothole detection in asphalt pavement images

Koch

Brilakis

2011

Advanced Engineering Informatics

458

220

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“…It is subject to personal experience and bias, making the survey results inconsistent and different between distress raters [1,2]. More recently, threedimensional automated imaging and sensor technology have been widely used to survey pavement surface conditions and capture distress issues [3][4][5]. When traveling on highways, a vehicle equipped with sensors on board should integrate the dynamic vibration effect associated with sensors taking into account for a whole system that consists with (i) a vibration model with three dimensional components (x/y/z) along with varying vehicle speeds and vehicle weights that collects vibration responses based on the road roughness condition generated by an exogenous dynamical contact between tires of the vehicle and the road surface, and (ii) a signal processing model that can effectively transfer and analyze dynamic vibration data, and extract signatures of the pavement condition after the adaptive filtering and machine-learning process.…”

Section: Background and Problem Statementmentioning

confidence: 99%

Using Geographic Information Systems and Smartphone-Based Vibration Data to Support Decision Making on Pavement Rehabilitation

Lai²,

Almonnieay

2016

Information Processing and Management of Uncertainty in Knowledge-Based Systems

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Abstract. This paper presents a data collecting process using smartphonebased accelerometer in association with geographic information systems (GIS) software to better manage pavement condition data and facilitate with decision making for maintenance and rehabilitation. The smartphone is equipped with an accelerometer (a mobile apps) could record 50 vibration data points per second in three direction (X, Y, and Z). The type of Traditional pavement survey is time-consuming and requires experienced technicians to travel along highway to visualize pavement conditions and record any failures. Combining vibration intensity data with a GIS platform can help public agencies with a strategic plan to prioritize maintenance schedules for both bike trails and highway roads. The objective of this paper is to (1) discuss the processes of vibration data analysis using a smartphone based accelerometer and to (2) demonstrate how to relate vibration intensity data to locate priority areas for immediate.Keywords: Vibration Á Smartphones Á Mobile apps Á Accelerometers Á Geographic information systems Background and Problem StatementPavement condition surveys involve data acquisition, interpretation, and documentation. These activities characterize surface condition, such as surface cracking, deformation, and other surface defects for both flexible and rigid pavements. Currently, there are three key major pavement distress detecting techniques; (1) manual inspection, (2) imaging process detection, and (3) vibration-based detection. Manual inspection perhaps is most popular and affordable method among highway agencies for pavement condition surveys. However, manual inspection remains labor intensive and time consuming procedure. It is subject to personal experience and bias, making the survey

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“…In [8,9], cameras are installed on vehicles to record road videos, from which road conditions are inferred. With the help of Accelerometer, vibrations on the road can be effectively captured from the vehicles and along with GPS, its actual location is determined [10]. The system to detect the presence of uneven roads uses 3D laser scanning devices or cameras to record images and videos or Accelerometer plus GPS equipped inside a car, but all these three systems are too expensive for wide adoption and communication from a car to a remote control stills remains a challenging task as mentioned earlier.…”

Section: Related Workmentioning

confidence: 99%

En-Route Vehicular Traffic Optimization

Saravanan¹,

M²

2015

ijacsa

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Abstract-The pathways of information are changing, the physical world itself is becoming a type of information system. In what's called the Internet of Things (IoT), sensors and actuators embedded in physical objects-from roadways to pacemakersare linked through wired and wireless networks, often using the same Internet Protocol (IP) that connects the Internet. When objects can both sense the environment and communicate, they become tools for understanding complexity and responding to it swiftly. The revolutionary part in all this is that these physical information systems are now beginning to be deployed, and some of them even work largely without human intervention. This paper has addressed the traffic congestion problem with the help of Internet of Things. Increase in the number of vehicles in cities caused by the population and development of economy, has stimulated traffic congestion problems. It is becoming more serious day after day in the present scenario of developing countries. The reason for the same could be categorized as mismanagement of vehicular movement, ineffective system for controlling the mobility of vehicles, uneven roads and traffic snarl-up. Unexpected vehicular queuing is a major concern leading to wasting time of passengers and thwarting ambulance to reach the destination in time. In addition to that, traffic congestion makes it difficult to forecast the travel time accurately causing drivers to allocate more time in travel than scheduled previously. To ease these mounting traffic problems a demonstration is made on the Proof of Concept (POC) using the smart city data set provided by Telecom Italia of Milan city, to verify that these concepts have the potential for real world application and could be used by the government sectors or private transport organizations to ameliorate the passenger's comfort on road which are as follows. A central node is developed which sets the speed limit and predicts a normalized speed separately for each locality from the available data set. For efficient control in mobility of vehicles an advanced dynamic digital board is introduced, which displays the speed limit set by the central node time to time. The normalized speed could be used to estimate the effective time taken between destinations precisely. By comparing normalized speed with real time values anomalies in the locality like congestion and presence of uneven roads is predicted. Accident detection model is integrated with the central node which sends a message to dynamic board indicating location of the accident along with the time taken. It even improves traffic flow around the accident occurred location.Central node together with navigation tools could provide rerouted path to the drivers during congestion or accident.

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Vibration-Based System for Pavement Condition Evaluation

Cited by 87 publications

References 0 publications

Pothole detection in asphalt pavement images

Pothole detection in asphalt pavement images

Using Geographic Information Systems and Smartphone-Based Vibration Data to Support Decision Making on Pavement Rehabilitation

En-Route Vehicular Traffic Optimization

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