A methodology for GPS-based waterlogging prediction and smart route generation

• Published in: 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA) pp. 274 - 278
• Main Authors: Choudhury, A. D., Agrawal, A., Sinha, P., Bhaumik, C., Ghose, A., Bilal, S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-11-2012
• Subjects: Cities and towns; Global Positioning System; Google; GPS; networked smartphone applications; road condition; Roads; Sensors; smart route; Water resources; waterlogging
• ISBN: 9781467351171; 1467351172
• ISSN: 2164-7143; 2164-7151
• DOI: 10.1109/ISDA.2012.6416550

This paper describes a system for predicting water logging prone areas in multiple routes. The approach is based on the theory that water tends to accumulate in low-lying areas and hence a route which contains more and bigger basins is more likely to behave worse on a rainy day. Using this basic principle, algorithms are formulated and applied to identify and quantify water logging zones on a route. To prove the effectiveness of the proposed system, the derived confidence scores for multiple routes given by the system are compared to judgements given by human commuters. A view of all possible routes along with quantified estimates of waterlogging confidence scores are rendered in Google map.