Optimization method of intersection dynamic comprehensive evaluation and signal control system based on real-time simulation model

Abstract

The invention discloses an optimization method of an intersection dynamic comprehensive evaluation and signal control system based on a real-time simulation model. Statistical analysis is performed on an intersection vehicle arrival time distribution law and a saturation time headway distribution law, simulation control is performed on vehicles monitored in real time, analytical calculation of traffic flow parameters of an intersection such as mean queue length, queue time and travel vehicle speed, and characteristics such as vehicle exhaust, oil consumption and noise, and acquired information is shared and an optimized signal control scheme is implemented by a third party control platform. The method has the advantages that a real-time data acquisition function is realized by test coils embedded in interfaces at the near end and the far end of an intersection entrance road; the simulation model adopts vehicle arrival and green light termination as triggering conditions of starting a simulation system traffic flow parameter configuration; a saturation time headway is adopted as a time series distribution basis of vehicle leaving; simulation car following and lane changing behaviors are realized by a series of algorithms; and a traffic simulation function has timeliness, accuracy and rapid response.

Description

technical field [0001] The invention belongs to the field of traffic design and intelligent traffic system control, in particular to a method for comprehensive evaluation of intersection dynamics and information control system optimization based on a real-time simulation model. Background technique [0002] Traffic flow assessment is often processed with a homogeneous static calculation method, which is convenient for manual calculation and analysis. For example, in the calculation method adopted by HCM, mathematical methods such as reduction coefficient and average value are usually used. However, the characteristics of traffic flow itself are dynamic and random, so the above algorithm inevitably produces errors. The randomness and dynamics of traffic are manifested in the arrival dynamics of traffic flow. The arrival characteristics of traffic flow are completely different, which directly affects the operation status of traffic flow and the dynamics of timing schemes. In ...

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Problems solved by technology

[0006] 1) The calculation method based on homogenization and averaging lacks the analysis of the randomness and dynamics of traffic flow changes;

[0007] 2) There is a lack of simulation evaluation methods suitable for real-time traffic evaluation and timing design;

[0008] 3) There is a lack of a calculation model for optimal timing at intersections based on evaluation indicators;

[0009] 4) Lack of an adaptive system for evaluation and timing of intersections based on simulation models

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