Roadway pavement anomaly classification utilizing smartphones and artificial intelligence

Kyriakou, Charalambos; Christodoulou, Symeon E.; Dimitriou, Loukas

doi:10.1109/melcon.2016.7495459

Cited by 18 publications

(13 citation statements)

References 6 publications

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“…Sensors play a key role in the collection of data for the improvement of services related to road traffic safety as well as data necessary for scientific research supporting the development of ITS services. It is important to make use of the fusion of data from many available sources (including sensors located in the vehicle and the road environment as well as mobile devices or systems) [ 98 , 99 , 100 , 101 , 102 ].…”

Section: Simulation Methods Of Road Safety Assessmentmentioning

confidence: 99%

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

Oskarbski

Kamiński

Kyamakya

et al. 2020

Sensors

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Methods used to evaluate the impact of Intelligent Transport System (ITS) services on road safety are usually based on expert assessments or statistical studies. However, commonly used methods are challenging to apply in the planning process of ITS services. This paper presents the methodology of research using surrogate safety measures calculated and calibrated with the use of simulation techniques and a driving simulator. This approach supports the choice of the type of ITS services that are beneficial for traffic efficiency and road safety. This paper presents results of research on the influence of selected scenarios of variable speed limits on the efficiency and safety of traffic on the sections of motorways and expressways in various traffic conditions. The driving simulator was used to estimate the efficiency of lane-keeping by the driver. The simulation traffic models were calibrated using driving simulator data and roadside sensor data. The traffic models made it possible to determine surrogate safety measures (number of conflicts and their severity) in selected scenarios of using ITS services. The presented studies confirmed the positive impact of Variable Speed Limits (VSLs) on the level of road safety and traffic efficiency. This paper also presents recommendations and plans for further research in this area.

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Section: Simulation Methods Of Road Safety Assessmentmentioning

confidence: 99%

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

Oskarbski

Kamiński

Kyamakya

et al. 2020

Sensors

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show abstract

“…The section focusses on the detection of five types of common roadway anomalies in six different sections of local roadways and two highway roadways (of 80Km total distance, ~ 10 data points per geographical location, 3349 data points of cracks, 1401 data points of rutting and ravelling, 1770 data points of patches and 2770 data points of potholes), which examines in tandem, albeit being part of a larger effort on the detection of vibration-inducing pavement anomalies, as documented in Kyriakou et al (Kyriakou, Christodoulou et al 2016, Kyriakou, Christodoulou et al 2017b, Christodoulou, S. E., Kyriakou 2018, Christodoulou, Symeon E., Kyriakou et al 2019.…”

Section: Methodological Setupmentioning

confidence: 99%

“…The works of Kyriakou et al (Kyriakou, Christodoulou et al 2016) explored the use of data, collected by sensors from smartphones and automobiles' onboard diagnostic (OBD-II) devices while vehicles are in movement, for the detection of pavement transverse defects, longitudinal defects and potholes/manholes. The smartphone-based data collection was complimented with artificial neural networks detecting and classifying identified roadway anomalies.…”

Section: Related Work Published To Date By the Paper's Authorsmentioning

confidence: 99%

Do vehicles sense pavement surface anomalies?

Kyriakou¹,

Christodoulou²,

Dimitriou³

2019

Proceedings of the 2019 European Conference on Computing in Construction

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Nowadays, pavement monitoring agencies typically assess pavement quality approximately only once per year. The main reason for this low frequency of inspections is the fact that current methods are expensive and laborious. The paper presents a data-driven framework and related field studies on the use of pattern recognition techniques and smartphone sensor technologies for the detection, classification and georeferencing of roadway pavement surface anomalies. The proposed system provides continuous and reliable information about the five most common roadway pavement surface anomalies which are valuable for pavement management systems and public safety.

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“…Data fusion techniques must be integrated with AI to allow the vehicle to understand the current state just as a human would and react accordingly, including anticipating different contexts and scenarios [ 105 ]. For example, if a driver spots a bouncing ball, the most probable scenario is a boy running after it, so the driver strongly considers stopping the vehicle in immediately.…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

Sensor Technologies for Intelligent Transportation Systems

Ibáñez

Zeadally

Contreras-Castillo

2018

Sensors

472

200

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Modern society faces serious problems with transportation systems, including but not limited to traffic congestion, safety, and pollution. Information communication technologies have gained increasing attention and importance in modern transportation systems. Automotive manufacturers are developing in-vehicle sensors and their applications in different areas including safety, traffic management, and infotainment. Government institutions are implementing roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. By seamlessly integrating vehicles and sensing devices, their sensing and communication capabilities can be leveraged to achieve smart and intelligent transportation systems. We discuss how sensor technology can be integrated with the transportation infrastructure to achieve a sustainable Intelligent Transportation System (ITS) and how safety, traffic control and infotainment applications can benefit from multiple sensors deployed in different elements of an ITS. Finally, we discuss some of the challenges that need to be addressed to enable a fully operational and cooperative ITS environment.

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Roadway pavement anomaly classification utilizing smartphones and artificial intelligence

Cited by 18 publications

References 6 publications

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

Do vehicles sense pavement surface anomalies?

Sensor Technologies for Intelligent Transportation Systems

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