An Integrated Fuzzy-Based Simulation System for Driving Risk Management in VANETs Considering Road Condition as a New Parameter
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-57796-4_2
Reference15 articles.
1. Bylykbashi, K., Elmazi, D., Matsuo, K., Ikeda, M., Barolli, L.: Effect of security and trustworthiness for a fuzzy cluster management system in VANETs. Cogn. Syst. Res. 55, 153–163 (2019). https://doi.org/10.1016/j.cogsys.2019.01.008
2. Bylykbashi, K., Elmazi, D., Matsuo, K., Ikeda, M., Barolli, L.: Implementation of a fuzzy-based simulation system and a testbed for improving driving conditions in VANETs. In: International Conference on Complex, Intelligent, and Software Intensive Systems, pp. 3–12. Springer (2019). https://doi.org/10.1007/978-3-030-22354-01
3. Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L.: A fuzzy-based system for driving risk measurement (FSDRM) in VANETs: a comparison study of simulation and experimental results. In: International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 14–25. Springer (2019)
4. Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L.: Fuzzy-based driver monitoring system (FDMS): implementation of two intelligent FDMSs and a testbed for safe driving in VANETs. Future Gener. Comput. Syst. 105, 665–674 (2020). https://doi.org/10.1016/j.future.2019.12.030
5. Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L., Takizawa, M.: A fuzzy-based simulation system for driving risk management in VANETs considering weather condition as a new parameter. In: International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 23–32. Springer (2020)
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