Large-scale road network signal lamp estimation method

Abstract

The invention provides a large-scale road network signal lamp estimation method, which comprises the steps of: acquiring road network information; dividing a road network map; carrying out self-adaptive timing on signal lamps; and conducting distributed calculation based on Hadoop. The large-scale road network signal lamp estimation method performs self-adaptive map division on a road network through calculating density of the signal lamps, achieves load balancing of signal lamp timing optimization time calculation in a plurality of blocks, greatly increases generating efficiency of road network map division by adopting the Hadoop distributed system, discloses a signal lamp timing scheme having self-adaptivity and real-time performance, is different in signal lamp duration at each periodic time segment and even each day, and can effectively optimize the timing duration problem of the original or newly-added signal lamps of roads.

Description

Technical field [0001] The invention relates to the field of traffic management, in particular to a method for estimating large-scale traffic road network signal lights. Background technique [0002] Many existing signal light timing schemes are not self-adaptive. The reason is that the guidelines for these signal light timing schemes are mostly derived from road traffic experience or theoretical calculations to obtain several sets of timing schemes for a fixed period of time, which cannot be applied. In a variety of road environments; some signal light timing schemes are adaptive, but because the original initial configuration scheme is not adaptive, the adaptability of this type of timing scheme is not very good. [0003] Due to the large number of signal lights, and the timing scheme is not adaptive, it is often difficult to effectively estimate the timing of traffic lights in traffic management. Summary of the invention [0004] In order to solve the problem that it is difficul...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that it is difficult to effectively estimate the timing of traffic lights in the prior art, the present invention proposes a large-scale traffic road network signal light estimation method, which performs adaptive map division on the road network by calculating the signal light density, and realizes The load balancing of signal light timing optimization in multiple blocks, the use of Hadoop distributed system greatly improves the generation efficiency of road network map division, the signal light timing scheme is adaptive and real-time, and can effectively optimize roads The timing problem of the original or new signal lights

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