Modeling method for simulation model of bicycle conflict avoidance behaviors at non-signalized intersection

Abstract

The invention discloses a modeling method for a simulation model of bicycle conflict avoidance behaviors at a non-signalized intersection. The method includes the first step of obtaining video data of the non-signalized intersection, the second step of carrying out data extraction on the video data, the third step of preprocessing the data and establishing a bicycle conflict avoidance behavior database, the fourth step of establishing a bicycle conflict avoidance behavior simulated neural network model, the fifth step of processing the data according to the model to form a training sample and a verification sample, the sixth step of training the neural network model, and the seventh step of verifying the neural network model. Through the modeling method for the non-signalized intersection bicycle conflict avoidance behavior simulation model, the simulation model can be quickly and effectively established for conflict avoidance behaviors happening between a bicycle and a motor car, between one bicycle and another bicycle and between the bicycle and pedestrians at the mixed traffic flow non-signalized intersection according to the measured data, and a basis is established for development of the mixed traffic flow non-signalized intersection simulation model in cities of our country, so the modeling method has actual popularization value.

Description

technical field [0001] The invention relates to the technical field of traffic simulation modeling, in particular to a modeling method for a simulation model of a bicycle collision avoidance behavior at an unsignalized intersection. Background technique [0002] Bicycle is a human-driven, relatively low-speed, flexible mode of transportation. Its driving route and mode are completely different from those of motor vehicles based on lanes. [0003] In Chinese cities, there are a large number of machine-non-conflicts at mixed traffic flow intersections, especially at unsignalized intersections. However, when the traffic flow is large, bicycles can move flexibly between motor vehicles and pedestrians. Port capacity and service levels also have a significant impact. Effective modeling of conflict avoidance behavior of bicycles at unsignalized intersections with mixed traffic flows can provide an important theoretical model basis for the development of microscopic simulation mode...

AI Technical Summary

Problems solved by technology

In fact, when a bicycle expects to encounter a conflicting vehicle or pedestrian at an unsignalized intersection, it usually considers turning with acceleration and deceleration to reduce conflicts and delays. mold

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