自然语言实时交通信息与位置信息的融合方法

实时交通信息在交通诱导中有着重要的作用,然而与之不相适应的是大量的实时语言交通信息没得到有效应用。针对这一问题,分析了自然语言交通信息的表达特点,得出了自然语言交通信息中地理位置的表达方式,提出了针对自然语言交通信息的最大匹配分词算法;提出了自然语言交通信息与位置信息的匹配融合方法,并通过实例对该方法进行了测试,结果表明,该方法能对自然语言交通信息与交通网络进行有效的融合。

Method for combining natural language real-time traffic information with position information

With the development of modem communications technology, the real-time traffic information plays an important role in traffic guidance. However, a large number of real-time natural language traffic information are left unused effectively. Aiming at this problem, the expression characteristics of real-time natural language traffic information are analyzed. The expression modes are obtained, and an algorithm called maximum matching word segmentation is put forward upon natural language traffic information. A method to fuse natural language traffic information and position information is proposed, and tested by one example. The results showed that this method could effectively combine natural language traffic information with traffic network.