Traffic impact evaluation system and method

Abstract

The invention relates to a traffic impact evaluation system and method. The system comprises a traffic planning unit, a data acquisition unit, a static planning model establishment unit, a check unit, and a dynamic simulation unit. The traffic planning unit is used for carrying out traffic zone division, road network and management and control setting, and demanded matrix analyses for a construction project. The data acquisition unit is used for collecting data needed by traffic impact evaluation. The static planning model establishment unit is used for establishing a static planning model based on the collected traffic evaluation data. The check unit is used for traffic distribution initialization on the static planning model and determining whether the distribution result and an observed flow are in an error range; and if hot, the static planning model is checked. The dynamic simulation unit is used for carrying out dynamic simulation on the checked static planning model. With the system and method, a way that modeling and check need to be carried out respectively and separately for traditional evaluation indexes is changed and integrated checking is realized, so that the efficiency and precision are improved. In addition, fleet simulation is used for replacing individual vehicles, so that the local microcosmic simulation efficiency is effectively improved.

Description

technical field [0001] The invention relates to a traffic evaluation system and method, in particular to a construction project-oriented traffic impact evaluation index system and method. Background technique [0002] Traffic impact assessment is highly socially sensitive and requires normative, scientific and objective. For this reason, the "Technical Standards for Traffic Impact Assessment of Construction Projects CJJ / T141-2010" (hereinafter referred to as the "Standard") at the national level and local standards put forward the technical content, index requirements, macro flow, saturation, etc. Delay, speed and other indicators. However, in actual work, macro and micro indicators need to be separately established as macro models or micro models for accounting. There is no effective method to unify them. The lack of efficiency also leads to problems such as inconsistent technical methods and imprecise data analysis. It is difficult to guarantee the authoritative scientifi...

AI Technical Summary

Problems solved by technology

However, the theoretical framework of the mesoscopic model, which is different from the macroscopic model theory based on traffic distribution and the microscopic model theory based on traffic flow simulation, has not been unified and clarified in the industry.

The current mesoscopic traffic model, one is the local refinement of the macroscopic model, which is still a macroscopic model in essence; the other is a large-scale microcosmic model, which lacks efficiency, neither of which is a true mesoscopic traffic model

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