Freeway vehicle compulsive lane change proportional hazard model

A proportional hazard model and vehicle technology, applied in the field of traffic engineering, can solve problems that have not been used to study the forced lane-changing behavior of expressway vehicles

Inactive Publication Date: 2017-12-29
CHANGAN UNIV
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AI Technical Summary

Problems solved by technology

In the field of transportation research, the survival analysis method has been gradually applied to the analysis of traffic accidents, pedestrian or non-motor vehicle crossing analysis, real-time parking prediction, motor vehicle life analysis and motor vehicle fuel consumption modeling, traffic congestion duration analysis, traffic In terms of event duration analysis, travel time, residents' travel behavior analysis, and other duration-related traffic phenomena, survival analysis methods have gradually been used to study driving behavior, but have not been used to study forced lane-changing behavior of expressway vehicles

Method used

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  • Freeway vehicle compulsive lane change proportional hazard model
  • Freeway vehicle compulsive lane change proportional hazard model
  • Freeway vehicle compulsive lane change proportional hazard model

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Experimental program
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Embodiment approach

[0015] Firstly, calculate the duration model of the road vehicle's forced lane change: Let T represent the target vehicle's lane change duration, which is a non-negative random variable. Its cumulative distribution function is

[0016]

[0017] where f(x) is the probability density function of T, which can be expressed as

[0018]

[0019] Among them, t means that the lane change has been carried out to the tth second, and the survival function of the target vehicle’s lane change duration T represents the probability that the lane change duration is greater than t, and the specific expression is

[0020]

[0021] Lane changing starts from the lateral displacement of the vehicle. When the lane changing time T has lasted to t, the instantaneous possibility of it completing the lane changing process and driving to the centerline of the target lane within the time Δt is represented by h(t), which is The risk function of the lane change duration T is expressed as

[0022...

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Abstract

The present invention proposes a Cox proportional risk model for forced lane-changing of vehicles, which is used to predict the probability of successful lane-changing from the current point where the target vehicle finds the road barrier in front to the road barrier point. The vehicle lane change risk analysis model in the construction work area of ​​the road section in the territory can analyze the influence of the vehicle type and the distance from the starting point of the lane change to the merging point of the vehicle lane change on the success of the vehicle lane change. The relevant results can provide a theoretical basis for traffic evacuation, avoid congestion and Unsafe accidents happen.

Description

technical field [0001] The invention belongs to the technical field of traffic engineering, and in particular relates to a risk model for analyzing the forced lane change of expressway vehicles. Background technique [0002] The behavior of vehicles changing lanes has an important impact on traffic flow and traffic safety. Vehicle lane changing is one of the most common driving behaviors, and it is also one of the most likely to cause traffic accidents or traffic jams. Researchers have carried out extensive research on vehicle lane changing behavior, and the research results have been applied to vehicle adaptive cruise control Control, ACC) and computer simulation (Computer Simulation, CS). Mandatory lane changing (MLC) is one of the common lane changing types. The spatio-temporal continuous process of lane changing is related to the current vehicle speed. The existing STCA (Symmetric Two-lane Cellular Automata) model does not consider the inhomogeneity of vehicle lane cha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26
CPCG06Q10/0635G06Q50/26
Inventor 张生瑞吴江玲阿密特·库马尔·辛格朱震军曾隽
Owner CHANGAN UNIV
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