摘要
目前国内大多数城市交通拥堵态势依然严峻,拥堵的发生具有复杂性,近年兴起的大数据学科对解决这类问题具有独特的优势。以呼和浩特市为例,通过交通大数据分析拥堵特征及产生的原因,针对性地提出交通拥堵的改善对策,缓解道路的拥堵状况。对国内大中城市如何治理交通拥堵具有一定的借鉴意义。
Currently,the traffic congestion situation in most cities in China is still severe,and the occurrence of congestion is complex.The emerging big data discipline in recent years has unique advantages in solving such responsible problems.Taking Hohhot as an example,by analyzing the characteristics and causes of traffic congestion through traffic big data,targeted improvement measures for traffic congestion are proposed to alleviate road congestion.It has certain reference significance for how to deal with traffic congestion in large and medium-sized cities in China.
作者
李刚
LI Gang(Hohhot Municipal Construction Service Center,Hohhot 010020,China)
出处
《交通与运输》
2024年第S01期130-133,共4页
Traffic & Transportation
关键词
特征分析
改善对策
交通出行
现状调查
大数据
Feature analysis
Improvement measures
Transportation and travel
Current situation investigation
Big data