Calculation method of saturation flow rate of lanes under different weather conditions

Abstract

The invention provides a calculation method for the saturation flow rate of lanes based on electronic police data. A highly efficient and precise method is provided for acquisition and processing of timing data of signal lights at an intersection. Firm data support is provided for optimization of the timing of signal lights at the intersection. The calculation method plays an important role in improving of efficiency of intersection signal timing schemes, and in improving implementation effects of urban traffic control and operation efficiency of the whole traffic system. According to the invention, in the calculation of the lanes, the time headway and the saturation flow rate are used as important factors in determination of periods of signal timing; by differentiating weather factors like sunny days, rainy days and snowy days, based on a large number of history data, precise data calibration is performed on parameters; functions of big data are fully played in calibration of the parameters; and data basis is provided for precise scene type signal timing.

Description

technical field [0001] The invention relates to the technical field of traffic, in particular to a method for calculating the saturated flow rate of a lane under different weather conditions. Background technique [0002] A reasonable and scientific signal timing scheme can effectively improve the operational efficiency of the urban traffic system and alleviate the dilemma of urban traffic congestion. The formulation of traffic management measures, traffic preplans and signal control schemes under different weather conditions are usually artificially formulated and developed based on experience. The lack of scientific theoretical guidance and the support of traffic flow theory makes the traffic system easily paralyzed in special weather. Therefore, it is necessary to reduce the impact of extreme bad weather on the operation of urban traffic systems and formulate reasonable traffic management and control strategies. The characteristic parameters of traffic flow under differen...

AI Technical Summary

Problems solved by technology

[0002] A reasonable and scientific signal timing scheme can effectively improve the operational efficiency of the urban traffic system and alleviate the dilemma of urban traffic congestion. The formulation of traffic management measures, traffic plans and signal control schemes under different weather conditions are usually artificially formulated and developed based on experience. The lack of scientific theoretical guidance and the support of traffic flow theory makes the traffic system easily paralyzed in special weather. Therefore, it is necessary to reduce

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