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Dynamic Taxi Trip Information Management using G* System

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Published:20 October 2015Publication History

ABSTRACT

In this paper, we provide an efficient mechanism to manage dynamic taxi trip information. Specifically, we have designed a graph storage model, which is more efficient than relational data model, for taxi dispatching problem. Our proposed model is capable of mapping dynamics of the road network in terms of taxi trip information by a set of graph instances or snapshots. G* can effectively handle the complexity and subtlety inherent in dynamic graphs and executes complex queries on large graphs using distributed operators to process graph data in parallel. We extended the G* system using our modeling strategy for transportation network. We carry out our experiments using dynamic taxi trip information in New-York area. The experimental results show the superiority of our proposed system in terms of efficient storage and processing for taxi dispatching problems. This makes the existing taxi information management system more practical and profitable by improving the overall performance.

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  • Published in

    cover image ACM Other conferences
    BigDAS '15: Proceedings of the 2015 International Conference on Big Data Applications and Services
    October 2015
    321 pages
    ISBN:9781450338462
    DOI:10.1145/2837060

    Copyright © 2015 ACM

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    Publication History

    • Published: 20 October 2015

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