ناشر تخصصی کنفرانس های ایران

لطفا کمی صبر نمایید

Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها
Paper
Title

New Method for Management of Moving Objects Trajectories in Intelligent Transportation Systems

Year: 1394
COI: KBEI02_225
Language: EnglishView: 342
This Paper With 5 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 5 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:

Authors

Mohammad Reza Abbasifard - MODB Lab., School of Computer Engineering Iran University of Science and Technology Tehran, Iran
Hassan Naderi - MODB Lab., School of Computer Engineering Iran University of Science and Technology Tehran, Iran
Omid Isfahani Alamdari - MODB Lab., School of Computer Engineering Iran University of Science and Technology Tehran, Iran
Ali Jafari - MODB Lab., School of Computer Engineering Iran University of Science and Technology Tehran, Iran

Abstract:

There are always challenges of collecting, indexing and query processing of moving objects trajectories in the field of Moving Objects Databases (MODB). Trajectory data collected by location-aware devices are usually prone to different errors and in most situations indexing and query processing are performed on this erroneous data. As a result, responses provided for the queries that posed by various application scenarios of Intelligent Transportation Systems (ITS) and Location Based Services (LBS), have low accuracy, besides having significant time delay. In this paper, we proposed a model that, tries to reduce the errors of data using map-matching algorithms and index them by exploiting road network information. The indexing can be carried out on past and current movements separately. There is also a possibility of data reduction prior to indexing in order to improve the query processing performance, which attempts to reduce the volumes of data while keeping their quality acceptable for applications. Experiments show the improvement in accuracy and response time of different spatio-temporal queries. In addition, the effect of map-matching and data reduction on indexing methods are also studied.

Keywords:

Moving Objects Database; Map Matching; Trajectory Indexing; Road Networks; Intelligent Transportation Systems

Paper COI Code

This Paper COI Code is KBEI02_225. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/553275/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Abbasifard, Mohammad Reza and Naderi, Hassan and Isfahani Alamdari, Omid and Jafari, Ali,1394,New Method for Management of Moving Objects Trajectories in Intelligent Transportation Systems,2nd Internatioanl Conference on Knowledge -Base Engineering and Innovation,Tehran,https://civilica.com/doc/553275

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :

  • C. Parent, S. Spaccapietra, C. Renso, G. Andrienko, N. Andrienko, ...
  • _ _ _ _ _ in Road ...
  • Y. Zheng and X. Zhou. (2011). Computing with Spatial Trajectories ...
  • Copyright Notice is: 978-1 -4673-6506-2/ 5/831 _ 00 G2015 IEEE ...
  • Research Info Management

    Certificate | Report | من نویسنده این مقاله هستم

    اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

    Scientometrics

    The specifications of the publisher center of this Paper are as follows:
    Type of center: دانشگاه دولتی
    Paper count: 21,689
    In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

    New Papers

    Share this page

    More information about COI

    COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

    The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.

    Support