Applicability of Crowd Sourcing to Determine the Best Transportation Method by Analysing User Mobility

J.M.D. Senanayake and W.M.J.I. Wijayanayake, University of Kelaniya, Sri Lanka

ABSTRACT

Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction on various transportation methods. Therefore, in this research using location awareness applications installed in mobile devices, data related to user mobility were collected by using crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to overcome the problem. By using this, the best transportation method can be predicted as the results of the research. Therefore, people can choose what will be the best time slots & transportation methods when planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.

KEYWORDS

Big Data, Crowd sourcing, Data mining, GPS, IoT 

Original Source URL: https://aircconline.com/ijdkp/V8N5/8518ijdkp03.pdf

https://airccse.org/journal/ijdkp/vol8.html