大数据技术在道路智能出行中的应用  

Application of big data technology in road intelligent travel

作　　者：石秀君[1] 李鹏浩[1] SHI Xiujun;LI Penghao(Jining Polytechnic,Jining 272000,China)

机构地区：[1]济宁职业技术学院,山东济宁272000

出　　处：《中国高新科技》2023年第14期56-58,共3页

摘　　要：大数据技术广泛应用于社会生活的各个环节。针对当前城市道路交通拥挤、堵塞的紧张情况,文章通过对大数据技术在交通出行领域的应用进行研究,阐述大数据技术在交通领域的实用价值,提出利用大数据技术构建交通信息平台,收集各方交通信息资源、社会网络资源以及天气资源;通过大数据技术和人工智能技术结合交通数据资源构建大数据智能出行模型,可为出行者实时推荐最优道路选择,有效减少出行成本和缓解交通压力。Big data technology is widely used in all aspects of social life.In view of the current tense situation of traffic congestion and congestion on urban roads,this paper studies the application of big data technology in the field of transportation,expounds the practical value of big data technology in the field of transportation,and proposes to use big data technology to build a transportation information platform to collect traffic information resources,social network resources and weather resources from all sides.By combining big data technology and artificial intelligence technology with traffic data resources to build a big data intelligent travel model,it can recommend the best road for travelers in real time,effectively reduce travel costs and alleviate traffic pressure.

关 键 词：大数据技术 人工智能 智能出行 

分 类 号：U495[交通运输工程—交通运输规划与管理]