Abstract: The massive growth in road traffic and subsequence generation of traffic related data insisting the researcher to proceed for the analytical research on the traffic prediction. However, the gigantic size of the data and chances of storage failure may cause the purpose inefficient. The advancement in technologies and high demand for fault tolerant storage solutions most of the cloud based commercial storage service providers are now equipped with erasure based Reed-Solomon fault tolerance mechanism. However, the additional cost for replication is still an overhead for service providers and customers. In this research, we propose a novel erasure based code and further optimization as shortening the proposedcode also for the digital storage formats. The research also results into a comparative study of cost analysis for commercial cloud based storage service providers. Finally, the research demonstrates the improvement in code shortening and making the performance higher.