Following vehicle state change estimation method considering transverse interference under double-lane driving

Abstract

The invention discloses a following vehicle state change estimation method considering transverse interference under double-lane driving. The following vehicle state change estimation method comprises the steps that S01, a simulation analysis environment is constructed under the double-lane driving condition; s02, acquiring vehicle track data and lane geometric dimension data, inputting the data into a simulation analysis environment, and performing vector decomposition to obtain a cut-in vehicle speed vector and a distance vector decomposition result; s03, in the simulation analysis environment, when the cut-in vehicle starts to enter the target lane, state changes between the cut-in vehicle and the following vehicles are estimated; s04, calculating an interference factor and an attenuation factor in a simulation analysis environment; s05, obtaining the influence degree of the transverse interference on the following vehicle and the correlation characteristics between the front vehicle and the rear vehicle in the following vehicle team; and S06, estimating the residual area of the lane according to the distance vector. According to the method, the transverse interference to the following vehicle when the vehicle cuts into the lane is considered, and the precision of state change analysis of the following vehicle can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of microscopic traffic flow modeling and analysis, in particular to a method for estimating the state change of a following vehicle considering lateral interference under two-lane driving. Background technique [0002] Under the two-lane driving condition, under the influence of the vehicle in the adjacent lane cutting into the target lane, after the vehicle following the vehicle in the target lane is disturbed by the lateral cutting, the vehicle following behavior will change, the speed and the following distance will change immediately, and the speed of the vehicle following the vehicle will change. Traffic flow characteristics will also be affected, and how to quantify the impact of lateral cut-in on the car-following vehicle and even the car-following team is of great significance. [0003] When modeling and analyzing the impact of lateral cut-in on the following vehicles in micro-traffic flow modeling, ...

AI Technical Summary

Problems solved by technology

However, although the car-following model constructed by the above method takes into account the impact of laterally cutting vehicles, it only simply considers the changes in one-dimensional parameters such as vehicle distance and speed. The change of one-dimensional parameters such as spacing and speed also involves the impact of the cut-in vehicle on the following vehicle and the following fleet, such as the lateral displacement change of the following vehicle, the remaining driveable area of ​​the lane, and the distance between the vehicles in the fleet. The parameters of the traffic flow change with time, which is related to the action time of the cut-in vehicle on the car-following convoy. Therefore, when the above model is used for analysis, when the cut-in vehicle enters the target lane and produces a lateral offset, it is actually impossible to quantify the impact on the target lane. The impact of the vehicle

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