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

  • Jin-Hong Kim
  • Eun-Seok Lee
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 253)


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.


Vehicle network Intelligent transportation system (ITS) Knowledge-based trajectory data (KTD) Self-adaptive trajectory service (STS) 



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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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Computer EngineeringHanSung UniversitySeongbuk-guKorea
  2. 2.College of Information and Communication EngineeringSungKyunKwan UniversitySuownKorea

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