Grid segmentation-based large-scale vehicle road network real time speed limit calculation method

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of vehicle transportation management, in particular to a real-time speed limit calculation method for large-scale vehicle road networks based on grid segmentation. Background technique [0002] At present, the high incidence of traffic safety accidents has made the driving safety of road transport vehicles the focus of social attention. The country also attaches great importance to road transport safety. Transport vehicles basically need to be installed with on-board terminals and connected to the vehicle monitoring platform to realize the monitoring of transport vehicles. Monitoring, as we all know, speeding is one of the main causes of road safety accidents. To truly ensure the safety of vehicles, it is of course necessary to take effective measures to control the speed of vehicles. At present, the most effective way is to limit the speed of vehicles. , and remind the driver of the speed limit, but it is n...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the large-scale transportation vehicles on the existing road network need to realize the large calculation amount of real-time road section speed limit, and propose a real-time speed limit calculation method for large-scale vehicle road network based on grid segmentation, so as to improve vehicle monitoring Effectiveness, effectively guarantee the safety of road transport

[0006] In order to solve the problem of real-time speed limit calculation of large-scale vehicle road network, the technical solution of the present invention is to provide a real-time speed limit calculation method of large-scale vehicle road network based on grid segmentation, adopting a three-level grid design strategy, using The Euler distance algorithm is used to match roads, and distributed storage and deployment methods are used to achieve parallel computing

Images