![]() ![]() Conversion descriptive data to numerical, for processing an accurate measurement. As it was noted that there is a failure in previous studies to convert this data into a data that can be used. I occasionally use Google Maps for navigation in the car and it even highlights. Works to provide data on the traffic situation of the roads in any area, and at any time in the world, which can be used to know the amount of delay of the trip in this area. Google Maps has real time traffic data and the accuracy is staggering. Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earths surface. Through the use of websites on the Internet, one of which is Google traffic maps. We assume there is a method to facilitate data acquisition and delay in a fast and cost-effective manner. Since determining the amount of delay for many sites is very expensive and takes a long time. There are many methods, including the traditional and advanced ones, in determining congestion and the amount of delay. time based on two data sources: (1) crowdsourced real-time traffic data that were. Therefore, this problem needs to be defined accurately and quickly in order to address it. The Google Maps API estimates driving time between two points when API. ![]() It has even exceeded the capacity of the planned road in some locations, especially those that attract trips significantly, causes cluster of vehicles, traffic congestion, and delay in the trip, which causes material and psychological costs to people. Led to a significant increase in private transportation vehicles in urban areas. Traffic flow lines: Red lines Heavy traffic flow, Yellow/Orange lines Medium flow and Green normal traffic or no traffic. Traffic congestion is one of most important problems generated in the modern era, due to the need to move quickly between different sites, technological development, economic and population growth. ![]()
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