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Remote learning support

Público·11 miembros
Philip Kuznetsov
Philip Kuznetsov

Gta Sa Hd Roads



A new road shrink that replaces roads across the state.Features:- High-quality textures.You can replace through Modloader or through Crazy Img Editor.Have a nice game!




gta sa hd roads



Initially, these roads were in the resolution of 2048x2048 and 1024x1024 pixels, and weighed 600 mb. I compressed these roads 4 times and now they are in 512x512 and 256x256 pixels, and their size is only 101 mb.


this mod is actually garbage, all the textures are trash, the grass texture is bright lego green , the road texture is dark and looks doesn't match with the rest of the roads just drastic random black parts in the map 1/10


The Roads API takes up to 100 GPS points collectedalong a route, and returns a similar set of data, with the points snapped to themost likely roads the vehicle was traveling along. Optionally, you can requestthat the points be interpolated, resulting in a path that smoothly follows thegeometry of the road.


An integer that indicates the corresponding value in the original request. Each value in the request should map to a snapped value in the response. However, if you've set interpolate=true or if you're using nearest roads, then it's possible that the response will contain more coordinates than the request. Interpolated values will not have an originalIndex. These values are indexed from 0, so a point with an originalIndex of 4 will be the snapped value of the 5th latitude/longitude passed to the path parameter. Nearest Roads points may contain several points for single coordinates with differing location or placeId.


In a future connected environment with Vehicle-to-X (V2X) technologies, we shall have access to traffic data of a different nature that will have inherent differences compared to the conventional loop-detector data we are using today. It has to be noted that this scenario is not futuristic but rather quite realistic, as such technologies are already on our roads (e.g. Tesla), and are going to increase incrementally in the next few years. Pilots with autonomous vehicles (AV) are currently taking place in many places around the world and traffic operators are going to DaCe mixed traffic (i.e. AV and human-driven vehicles) rather soon. The rich data sets that V2X and AV provide, need to be integrated with our current data to produce traffic estimates of high accuracy. To this end, the classical models of traffic-flow theory that have been used for the last 60 years need to be revisited and modified in order to accompany the technological advancements of the automobile industry.


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