Urban traffic complex self-adaptive network parallel simulation system and method based on multi-scale integration

Abstract

The invention relates to an urban traffic complex self-adaptive network parallel simulation system and method based on multi-scale integration. The system comprises a parallel simulation evaluation module, a traffic demand module, a road network description module, a traffic evolution module, a scheme description module and a road network analysis module. The method includes the parallel simulation evaluation step, the traffic demand step, the road network description step, the traffic evolution step, the scheme description step and the road network analysis step. A macroscopic scale, a mid-scale and a micro-scale are organically integrated, a current traffic condition can be quickly evaluated, and a scientific basis for optimizing a traffic signal scheme is provided for an urban intelligent traffic control system.

Description

technical field [0001] The invention relates to a parallel simulation system and method of urban traffic complex self-adaptive network based on multi-scale fusion, belonging to the field of urban traffic simulation. Background technique [0002] According to the applicant's knowledge, the prior art already has medium and micro-integrated traffic loading technology, traffic signal control technology based on parallel simulation technology, urban micro-simulation technology based on cellular automata, complex network analysis technology, pedestrian micro-simulation technology, Macro-traffic simulation technology based on GIS, traffic simulation technology based on statistics mesoscopic, traffic micro-simulation technology based on multi-agents, and system integration technology based on macro-, medium-, and micro-simulation platforms, etc. [0003] The above technologies are relatively cutting-edge technologies in the field of urban traffic simulation. However, since the urba...

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Problems solved by technology

However, the simulation principles inside the respective simulation platforms remain unchanged, but the simulation parameters have changed.

Therefore, this is actually just a multi-scale alternate simulation process. Since the respective simulation models of macro, meso and micro have not really been integrated, the problems in the above single simulation process still exist; moreover, the traffic simulation results of different scales are different The data fusion process is also a very big problem

[0008] In the current intelligent control technology of urban traffic, various simulation systems are too inefficient and huge. The main reason is that the scale of the current simulation system is relatively single, which requires repeated and tedious parameter calibration to give relatively correct simulation results. Mesoscopic simulations are based on statistical simulations over a period of time, and it is difficult to provide detailed simulation support for signal timing at intersections; and based on system integration simulation technology, the integrated simulation system is too large, and it is difficult to use it as an urban intelligent traffic signal control core, it is difficult to provide real-time simulation evaluation and support for urban intelligent traffic control systems

In this case, it is difficult for the urban traffic intelligent control system to know whether the timing scheme it provides is reasonable and effective, and it can only gradually adjust its timing behavior from a large number of historical timings.

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