The invention relates to a grid segmentation-based large-scale vehicle road network real time
speed limit calculation method. According to the method, a three-level
grid design strategy is adopted; the Euler distance
algorithm is adopted to match roads; and a distributed storage and deployment mode is adopted to realize parallel computation. The grid segmentation-based large-scale vehicle road network real time
speed limit calculation method includes the following steps that: 1, region division is performed on a transportation road network according to latitudes and longitudes; 2, first-level grids and second-level grids are formed through division; 3, grid data are generated; 4, the data are initialized; and 5, real-time road
speed limit calculation is carried out. The
algorithm is simple and efficient and can accurately match the roads. The deployment of a
system just needs several physical machines, and therefore, the method is low in cost. The method can be applied to a monitoring platform of road transportation vehicles, so that the monitoring platform can process road section-based speed limit calculation of a large number of transportation vehicles distributed at various locations of China simultaneously, and a fast and effective means can be provided for transportation enterprises and government supervision departments to realize road section-based speed limit prompting for all vehicles on roads in the jurisdiction ranges of the transportation enterprises and government supervision departments, and the
driving safety of the road transportation vehicles can be improved, and the safety of people, vehicles and cargos involving in transportation can be ensured, and economic loss brought by accidents caused by speeding can be decreased.