Abstract
Abstract. This paper proposes a system for monitoring of condition and surface of roads in developing countries like India. This system will be used by government agencies to monitor municipal activities like road laying and planning. The system utilizes a database created by geo-citizens or government workers as an input. The heavy machinery in existing systems is not an optimized solution to this problem. Some existing systems use GPS and accelerometer data for determining such artifacts. So, it is evident that there is a need for a system that generates robust, frequent and accountable geo-tagged data. We propose a new collaborative model for such a purpose by fusion of data from multiple sensors hosted on smart-phones of several active geo-citizens. The system focuses mainly on volunteered geographic information, in which users can use their respective smart-phones to collect the data required and upload it for further analysis. The server side of the system infuses this data into a PostGIS database and displays the road condition on a near real-time basis over a WebGIS. The strength of a good visualization in imparting insight to decision-makers is widely recognized. We advance the paper by assessing procured road data and displaying it in an easy to understand format. In addition to visualization, the WebGIS component also provides for timeline analysis of changes in road conditions, which may help in the improved management of road infrastructure.
Highlights
A crucial aspect of urban infrastructure management in cities is the continuous monitoring and maintenance of roads
This paper primarily presents the architecture and system design of the two main subsystems of the Data Analytics and Visualization (DAV) system viz. visualization and data fusion
The fusion of information has new challenges to convey semantic meaning. They are 1) Source diverseness, where data obtained is from different smartphones of various specifications 2) storage diverseness, where the semantics of sensor data is originating from different forms like GPS sensors, accelerometer, and images. 3) multi-modal data, where the environment of the collection of data plays an important role
Summary
A crucial aspect of urban infrastructure management in cities is the continuous monitoring and maintenance of roads. High-end systems are inefficient in covering large areas at regular intervals of time which leads to complexity in activity planning To address these challenges in an ever-expanding urban environment, we propose an innovative collaborative system for road condition monitoring leveraging the existing technologies by data fusion approach. Derived from spatial citizenship, we envision an ecosystem operating through a mobile application on smart-phones of geo-citizens for large data collection and executing centralized processing Prime advantages of such a platform are the multiplicity of data points and crowd-sourcing model. Crowd-sourcing model provides reliable coverage and eliminates the need for deploying specialized road monitoring tools This system is dynamic to meet the increasing demand and prioritizes the areas of high usage. This paper primarily presents the architecture and system design of the two main subsystems of the DAV system viz. visualization and data fusion
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
