Publication Type:

Conference Paper

Source:

2017 International Conference on Communication and Signal Processing (ICCSP), IEEE, Chennai, India (2018)

URL:

https://ieeexplore.ieee.org/document/8286570/

Keywords:

Acceleration, accelerometer, Accelerometers, Automated detection, city roads, collaborative crowd sourcing, Condition monitoring, Crowdsourcing, defective street cuts, Early Warning System, effective monitoring system, efficient maintenance, Global positioning system, maintenance engineering, Mobile computing, Pavement defect, pavement deformities, real-time traffic alerts system, road building, road construction problems, road infrastructure problems, road maintenance department, Road safety, road traffic, roads, Servers, smart phones, traffic engineering computing, Vehicles

Abstract:

The increase in the number of vehicles running on the roads challenges the road maintenance department to meet the demand for timely repair of the road and therefore, find a unified solution to identify the road construction problems such as potholes, bumps, corrugations, waves, defective street cuts, etc. Without a better real-time traffic alerts system, efficient maintenance of city roads will be difficult. So, a more effective monitoring system is required for detecting and solving road infrastructure problems. This research work presents an analytical model of a system that detects pavement deformities. The system presents a mobile application that captures the accelerometer profile using the in-built accelerometer in smartphone, to obtain the location of pavement deformities. The variations in the accelerometer values with respect to the vehicle speed are taken into account.

Cite this Research Publication

P. R. Pooja and Hariharan, B., “An Early Warning System for Traffic and Road Safety Hazards using Collaborative Crowd Sourcing”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2018.