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Driver Behavior Model Based on Ontology for Intelligent Transportation Systems

机译:基于本体的智能交通系统驾驶员行为模型

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Intelligent transportation systems are a set of technological solutions used to improve the performance and safety of road transportation. A crucial element that affects road safety is driver behavior, because driver errors are usually the principal cause of traffic accidents. Therefore, understanding and modeling human driver behavior is extremely important for the safety of the road transportation. In this paper, a driver behavior model based in ontology for intelligent transportation system is proposed. The ontology will allows predicting different undesirable situations, such as traffic accidents, and road congestion, taking into account the environment information and the driver behavior.
机译:智能交通系统是用于改善公路运输的性能和安全性的一组技术解决方案。驾驶员的行为是影响道路安全的关键因素,因为驾驶员的失误通常是交通事故的主要原因。因此,对驾驶员行为的理解和建模对于道路运输的安全极为重要。本文提出了一种基于本体的智能交通系统驾驶员行为模型。考虑到环境信息和驾驶员行为,该本体将允许预测不同的不良情况,例如交通事故和道路拥堵。

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