{"title":"Foundation of the Information Model for Connected-Cars","authors":"Hae-Won Seo, Yong-Gu Lee","volume":110,"journal":"International Journal of Mechanical and Mechatronics Engineering","pagesStart":237,"pagesEnd":243,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10003468","abstract":"Recent progress in the next generation of automobile
\r\ntechnology is geared towards incorporating information technology
\r\ninto cars. Collectively called smart cars are bringing intelligence to
\r\ncars that provides comfort, convenience and safety. A branch of smart
\r\ncars is connected-car system. The key concept in connected-cars is the
\r\nsharing of driving information among cars through decentralized
\r\nmanner enabling collective intelligence. This paper proposes a
\r\nfoundation of the information model that is necessary to define the
\r\ndriving information for smart-cars. Road conditions are modeled
\r\nthrough a unique data structure that unambiguously represent the time
\r\nvariant traffics in the streets. Additionally, the modeled data structure
\r\nis exemplified in a navigational scenario and usage using UML.
\r\nOptimal driving route searching is also discussed using the proposed
\r\ndata structure in a dynamically changing road conditions.","references":"[1] Alireza Talebpour, Hani S. Mahmassani, Samer H. Hamdar, \u201cModeling\r\nLane-Changing Behavior in a Connected Environment: A Game Theory\r\nApproach,\u201d Transportation Research Procedia, vol. 7, pp. 420-440,\r\n2015.\r\n[2] George Bilchev, Richard Gedge, Jeff Farr, \u201cThe Connected Car \u2013Building\r\na Real World Testbed for Vehicle Communication,\u201d NWTM Interface -\r\nThe Next Wave Technologies and Markets Programme of the Department\r\nof Trade and Industry.\r\n[3] K. Hammoudi, H. Benhabiles, M. Kasraoui, N. Ajam, F. Dornaika, K.\r\nRadhakrishnan, K. Bandi, Q. Cai, S. Liu, \u201cDeveloping vision-based and\r\ncooperative vehicular embedded systems for enhancing road monitoring\r\nservices,\u201d Procedia Computer Science, vol. 52, pp. 389-395, 2015.\r\n[4] Wenlong Zhu, Dapeng Li, \u201cMultiple Vehicles Collaborative Data\r\nDownload Protocol via Network Coding,\u201d IEEE Transactions on\r\nvehicular technology, vol. 64, No. 4, pp.1607-1619, 2015.\r\n[5] Lj. Mercep, \u201cEfficient Profiling and Distributed Synchronization of\r\nStatistical User Models for Content-Targeting and Real-time\r\nApplications,\u201d MIPRO, May 2015.\r\n[6] Nawaporn Wisitpongphan, Fan Bai, Priyantha Mudalige, Varsha\r\nSadekar, Ozan Tonguz, \u201cRouting in Sparse Vehicular Ad Hoc Wireless\r\nNetworks,\u201d IEEE Journal On Selected Areas in Communications, vol. 25,\r\nNo, 8, pp. 1538-1556, 2007.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 110, 2016"}