Road network parameter correction method specific to VISSIM

Abstract

The invention provides a road network parameter correction method specific to VISSIM. The method comprises the following steps: (1) determining a parameter correction target; (2) selecting an evaluation index; (3) selecting a parameter to be corrected; (4) acquiring practical road data and evaluation index data; (5) performing route network modeling and simulation run; (6) correcting the parameter to be corrected; (7) calculating the weight and sensitive factor of each road segment; (8) multiplying respective obtained convergence correction parameter value of each road segment with respective sensitive factor respectively, and performing summation to obtain the correction parameter of a global road network. The correction method is irrelevant to the structure of simulation software, so that the correction method is suitable for the mentioned VISSIM software and can be applied in other simulation environments. Parameter automatic correction is performed with a generalized regression neural network method in the method, so that the simulation time can be shortened effectively; the iteration times are reduced; and the correction efficiency is increased effectively.

Description

technical field [0001] The invention relates to a traffic control method, in particular to a road network parameter correction method for VISSIM. Background technique [0002] With the rapid development of cities, the number of residents' private cars is increasing year by year, and the problem of traffic congestion has attracted great attention from relevant departments in many cities. Microscopic traffic simulation software is a powerful tool for evaluating traffic solutions, so the accuracy of the software model is crucial. At present, the traffic simulation software used by most research institutions in our country is imported from abroad. VISSIM is a kind of traffic simulation software that is currently used more. Therefore, it is a prerequisite to carry out other work to correct the parameters of the software model according to the actual traffic operation conditions in our country. and foundation. [0003] Such as figure 1 As shown, most of the previous parameter c...

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Problems solved by technology

[0007] (2) However, in terms of parameter correction algorithms, there is currently no parameter correction method suitable for most situations

[0008] (3) Moreover, most of the current parameter calibration methods are only independent programs, and the process and automation of parameter calibration have not been realized.

[0009] (4) At the same time, for the global road network where primary and secondary roads intersect, there is no corresponding and effective method for correcting traffic parameters of the global road network

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