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Context Aware Middleware Model for Handling Vehicular Safety Issues | Science Publications

机译:用于处理车辆安全问题的上下文感知中间件模型科学出版物

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> Problem statement: This study proposed a mathematical model for the existing framework InVANET; context prediction and simulation for vehicle safety. Approach: Markov process was used to model context and predict the states with the help of transition probability matrix. The context parameters were collected from CarSim simulator and inferred using JENA and SPARQL. Results: The longitudinal speed and lateral offset are mainly considered and analyzed for a distracted driver situation. Conclusion: The importance of middleware and modeling is discussed and simulation shows the performance of the proposed model for handling vehicle safety issues.
机译: > 问题陈述:本研究针对现有框架InVANET提出了数学模型;车辆安全的上下文预测和模拟。 方法:使用马尔可夫过程对上下文建模,并借助转移概率矩阵预测状态。上下文参数是从CarSim模拟器收集的,并使用JENA和SPARQL进行了推断。 结果:对于分散注意力的驾驶员情况,主要考虑并分析了纵向速度和横向偏移。 结论:讨论了中间件和建模的重要性,并且仿真显示了所提出的模型在处理车辆安全问题方面的性能。

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