Commenced in January 2007
Paper Count: 30302
Foundation of the Information Model for Connected-Cars
Abstract:Recent progress in the next generation of automobile technology is geared towards incorporating information technology into cars. Collectively called smart cars are bringing intelligence to cars that provides comfort, convenience and safety. A branch of smart cars is connected-car system. The key concept in connected-cars is the sharing of driving information among cars through decentralized manner enabling collective intelligence. This paper proposes a foundation of the information model that is necessary to define the driving information for smart-cars. Road conditions are modeled through a unique data structure that unambiguously represent the time variant traffics in the streets. Additionally, the modeled data structure is exemplified in a navigational scenario and usage using UML. Optimal driving route searching is also discussed using the proposed data structure in a dynamically changing road conditions.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338790Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1434
 Alireza Talebpour, Hani S. Mahmassani, Samer H. Hamdar, “Modeling Lane-Changing Behavior in a Connected Environment: A Game Theory Approach,” Transportation Research Procedia, vol. 7, pp. 420-440, 2015.
 George Bilchev, Richard Gedge, Jeff Farr, “The Connected Car –Building a Real World Testbed for Vehicle Communication,” NWTM Interface - The Next Wave Technologies and Markets Programme of the Department of Trade and Industry.
 K. Hammoudi, H. Benhabiles, M. Kasraoui, N. Ajam, F. Dornaika, K. Radhakrishnan, K. Bandi, Q. Cai, S. Liu, “Developing vision-based and cooperative vehicular embedded systems for enhancing road monitoring services,” Procedia Computer Science, vol. 52, pp. 389-395, 2015.
 Wenlong Zhu, Dapeng Li, “Multiple Vehicles Collaborative Data Download Protocol via Network Coding,” IEEE Transactions on vehicular technology, vol. 64, No. 4, pp.1607-1619, 2015.
 Lj. Mercep, “Efficient Profiling and Distributed Synchronization of Statistical User Models for Content-Targeting and Real-time Applications,” MIPRO, May 2015.
 Nawaporn Wisitpongphan, Fan Bai, Priyantha Mudalige, Varsha Sadekar, Ozan Tonguz, “Routing in Sparse Vehicular Ad Hoc Wireless Networks,” IEEE Journal On Selected Areas in Communications, vol. 25, No, 8, pp. 1538-1556, 2007.