【摘要】：研究分析復(fù)雜交通場景中車輛換道行為,揭示車輛運(yùn)行特性及其規(guī)律�；谛в美碚摲椒�,以實(shí)現(xiàn)駕駛行為決策效用最大化為目標(biāo),建立車輛換道分層Logit模型。系統(tǒng)分析影響車輛行為變化的因素,建立各層次參數(shù)變量相關(guān)模型。仿真分析表明:較一般的車輛行為模型,車輛換道分層Logit模型更能準(zhǔn)確地描述實(shí)際交通場景中車輛換道的行為決策過程,有效提高車輛運(yùn)行效率。研究結(jié)果為智能車路協(xié)同與交互行為、車輛可變限速技術(shù)、自適應(yīng)巡航控制技術(shù)等提供理論依據(jù)和技術(shù)支撐。
[Abstract]:This paper studies and analyzes the changing behavior of vehicles in complex traffic scenes, and reveals the characteristics and rules of vehicle operation. Based on the utility theory and method, the hierarchical Logit model of vehicle change was established to maximize the utility of driving behavior decision. The influence factors of vehicle behavior are analyzed systematically, and the correlation model of parameter variables at different levels is established. The simulation results show that compared with the general vehicle behavior model, the hierarchical Logit model can more accurately describe the behavior decision-making process of the vehicle in the actual traffic scene, and effectively improve the efficiency of the vehicle operation. The results provide theoretical basis and technical support for intelligent vehicle path coordination and interactive behavior, vehicle variable speed limit technology, adaptive cruise control technology and so on.
【作者單位】： 青島理工大學(xué)汽車與交通學(xué)院;
【基金】：國家自然科學(xué)基金項(xiàng)目(51178231)資助
【分類號(hào)】：U491.25

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本文編號(hào)：2310118