The invention discloses a traffic capacity estimation method considering a special lane of an intelligent network connection vehicle. The method comprises the following steps: acquiring an overall traffic demand of a road; calculating the proportions of the intelligent network connection vehicle and the ordinary person driving to obtain the permeability of the intelligent network connection vehicle and the permeability of the ordinary person driving; modeling the mixed traffic flow by adopting a discrete Markov model; acquiring a vehicle head distance distribution matrix in a single lane scene; using a CACC model and based on the headstock distance distribution matrix of the vehicles on the special lane, and obtaining the traffic capacity of the intelligent network connection vehicle special lane with the proportion of the intelligent network connection vehicle being 100%; calculating the permeability and traffic capacity of the common mixed single lane in the multi-lane scene; and calculating the overall traffic capacity under the multi-lane scene after the special lane for the intelligent network connection vehicle is opened. According to the method, the traffic capacity under the conditions of different permeability, different traffic demands and random vehicle distribution can be estimated, and a reference can be provided for setting conditions of the special lane of the intelligent network connection vehicle (CAV) in a novel mixed traffic scene.
本发明公开了一种考虑智能网联车专用车道的通行能力估计方法,包括:获取道路整体交通需求;计算智能网联车和普通人驾车所占的比例,得到智能网联车的渗透率以及普通人驾车的渗透率;采用离散的马尔科夫模型来对混合交通流进行建模;获取单车道场景下,车头间距分布矩阵;使用CACC模型并基于专用车道上车辆的车头间距分布矩阵,得到智能网联车占比为100%的智能网联车专用车道的通行能力;计算多车道场景下普通混合单车道的渗透率和通行能力;计算智能网联车专用车道开启后,多车道场景下整体的通行能力。本发明可以对不同渗透率、不同交通需求以及随机车辆分布情况下的通行能力进行估计,可以为新型混合交通场景下,智能网联车CAV专用车道的设置条件提供参考。
Traffic capacity estimation method and device considering intelligent network connection vehicle CAV special lane
一种考虑智能网联车CAV专用车道的通行能力估计方法及装置
2021-09-10
Patent
Electronic Resource
Chinese
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