With the advancement of the information age,the transportation industry has experienced rapid growth,leading to an expansion in the scale and number of highway constructions.However,this development has also given ris...With the advancement of the information age,the transportation industry has experienced rapid growth,leading to an expansion in the scale and number of highway constructions.However,this development has also given rise to numerous traffic issues,including frequent vehicle congestion and traffic accidents.To address these problems,it is essential to leverage modern technology for real-time information collection and analysis,providing robust technical support for intelligent transportation systems.This paper focuses on artificial intelligence(AI)technology,explaining its concept and its role in intelligent transportation.It reviews the various application areas and analyzes the use of AI in intelligent transportation.Finally,it proposes strategies for applying AI to promote the healthy development of intelligent transportation systems.展开更多
[目的/意义]情报信息的分散化分布规律是情报活动的基石,一些交叉性、前沿性政策类情报文本,呈现明显分散化特征,探寻此类情报信息量化研究方法,具有重要学术意义和现实紧迫性。[方法/过程]该文利用自然语言处理方法(Natural Language P...[目的/意义]情报信息的分散化分布规律是情报活动的基石,一些交叉性、前沿性政策类情报文本,呈现明显分散化特征,探寻此类情报信息量化研究方法,具有重要学术意义和现实紧迫性。[方法/过程]该文利用自然语言处理方法(Natural Language Processing,NLP),对旅游交通政策这一交叉领域的分散化政策演进进行量化分析。[结果/结论]研究验证了该方法对分散化政策类情报信息分析的适用性。结果表明:基于规则的命名实体识别对政策总量与结构的分析显示,发文总量逐年上升,不同时期政策结构有所差异。基于规则和统计模型的命名实体识别对政策制定主体的分析显示,政策颁发机构数量呈起伏上升趋势,多部门参与局面渐显。基于词性和句法分析的政策内容演进显示:“事故”始终是政策内容的语义核心词;语义聚焦主题词演进兼具继承性和发展性。展开更多
文摘With the advancement of the information age,the transportation industry has experienced rapid growth,leading to an expansion in the scale and number of highway constructions.However,this development has also given rise to numerous traffic issues,including frequent vehicle congestion and traffic accidents.To address these problems,it is essential to leverage modern technology for real-time information collection and analysis,providing robust technical support for intelligent transportation systems.This paper focuses on artificial intelligence(AI)technology,explaining its concept and its role in intelligent transportation.It reviews the various application areas and analyzes the use of AI in intelligent transportation.Finally,it proposes strategies for applying AI to promote the healthy development of intelligent transportation systems.
文摘[目的/意义]情报信息的分散化分布规律是情报活动的基石,一些交叉性、前沿性政策类情报文本,呈现明显分散化特征,探寻此类情报信息量化研究方法,具有重要学术意义和现实紧迫性。[方法/过程]该文利用自然语言处理方法(Natural Language Processing,NLP),对旅游交通政策这一交叉领域的分散化政策演进进行量化分析。[结果/结论]研究验证了该方法对分散化政策类情报信息分析的适用性。结果表明:基于规则的命名实体识别对政策总量与结构的分析显示,发文总量逐年上升,不同时期政策结构有所差异。基于规则和统计模型的命名实体识别对政策制定主体的分析显示,政策颁发机构数量呈起伏上升趋势,多部门参与局面渐显。基于词性和句法分析的政策内容演进显示:“事故”始终是政策内容的语义核心词;语义聚焦主题词演进兼具继承性和发展性。
