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KSVTs: Towards Knowledge-Based Self-Adaptive Vehicle Trajectory Service

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Information Technology Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 253))

Abstract

The most of very large traffic system by growing the variety of services, the relationships between the vehicle network and the infrastructure are more complex. Moreover, intelligent transportation systems are getting more and more to develop a better combination of travel safety and efficiency since long time ago. Vehicle is being evolved and traffic environment is especially also organized well-defined schedules priorities, which is real time based wireless network traffic condition, variable traffic condition, and traffic pattern from the vehicle navigation system. Accordingly, we propose to Knowledge-based Self-adaptive Vehicle Trajectory Service using genetic algorithm in this paper.

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Acknowledgments

This research was supported by Next-Generation Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No.2012033347).

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Authors and Affiliations

  1. Department of Computer Engineering, HanSung University, 116, Samseongyoro-16gil, Seongbuk-gu, Seoul, Korea

    Jin-Hong Kim

  2. College of Information and Communication Engineering, SungKyunKwan University, 2066, Seobu-Ro, Jangan-Gu, Suown, Gyeonggi-Do, Korea

    Eun-Seok Lee

Authors
  1. Jin-Hong Kim
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  2. Eun-Seok Lee
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Corresponding author

Correspondence to Eun-Seok Lee .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Dept. Information & Communication Engineering, Fukuoka Institute of Technology Fac. Information Engineering, Fukuoka, Japan

    Leonard Barolli

  3. Departament De Llenguatges I Sistemes Informàtics, Universitat Politècnica De Catalunya, Barcelona, Spain

    Fatos Xhafa

  4. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

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© 2013 Springer Science+Business Media Dordrecht

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Kim, JH., Lee, ES. (2013). KSVTs: Towards Knowledge-Based Self-Adaptive Vehicle Trajectory Service. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_40

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  • DOI: https://doi.org/10.1007/978-94-007-6996-0_40

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6995-3

  • Online ISBN: 978-94-007-6996-0

  • eBook Packages: EngineeringEngineering (R0)

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