Model of the impact of traffic congestion based on Google Earth Engine: take Zhongguancun Street as an example

Abstract

The traffic congestion in Beijing has become a significantly serious problem and is hindering the development of the city. It also causes inconvenience of traveling, especially commuting for people. Google earth and Google Earth Engine (GEE), can provide much information about the traffic and surrounding environment. However, there are few studies exist to utilize the GEE and traffic data to analyze the effect of the congestion on the city`s development and people`s life. Therefore, to explore and analyze the causes of traffic congestion and ultimately to put forward a viable solution, we propose to model the impact of traffic congestion based on Google Earth and Google Earth engine, taking Zhongguancun Street as an example. The results show that the congestion at the intersection of the main street has a radiation influence of about three kilometers on the main road. And according to the big data, we find that at 8:00 am and 6:00 pm every day, it is the peak time of traffic congestion. Finally, we can conclude that the GEE platform is a profound and potential tool for effectively analyzing traffic problems, and our subsequent research can be continued to be further developed based on this platform.