The invention relates to a trajectory optimization control method for a networked automatic vehicle under mixed flow at a signalized intersection, which is characterized in that an alpha'trajectory method is innovatively proposed to predict a driving trajectory of a traditional general vehicle with randomness aiming at a scene that the networked automatic vehicle and the traditional general vehicle are mixed at the signalized intersection by utilizing a mobile internet and automatic driving technology; and by establishing a networked automatic vehicle trajectory optimization model and designing a corresponding solution algorithm, trajectory optimization design is performed on the networked automatic vehicle, so that the networked automatic vehicle can smoothly drive into the signalized intersection at the maximum speed, and the following vehicles behind are further guided to form a compact and rapid vehicle fleet to smoothly drive into the signalized intersection. Because the driving behavior of the traditional common vehicle has randomness, the track of the networked vehicle is redesigned at a certain time interval in order to avoid the failure of the designed track of the networked vehicle. Travel delay and fuel consumption at the signalized intersection are reduced by continuously optimizing the track of the networked automatic vehicle, and the purpose of improving the current traffic jam situation of a current large city is achieved.

    本发明涉及一种信号交叉口处混合流下网联自动车轨迹优化控制方法,利用移动互联及自动驾驶技术,针对信号交叉口处网联自动车与传统一般车辆混行的场景,创新性提出α′轨迹法预测带有随机性的传统一般车辆的行驶轨迹,并通过建立网联自动车轨迹优化模型以及设计相应的求解算法对网联自动车的轨迹优化设计,使其能够以最大速度光滑顺畅驶入信号交叉口内部,并进一步引导后方跟随车辆形成致密快速的车队顺畅驶入。由于传统一般车辆的驾驶行为具有随机性,为避免设计的网联自动车轨迹失效,网联自动车轨迹将间隔一段时间重新设计。通过不断优化网联自动车的轨迹,降低信号交叉口处的旅行延误和燃油消耗,达到改善当前大城市的交通拥堵现状的目的。


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    Title :

    Network connection automatic vehicle track optimization control method under mixed flow at signalized intersection


    Additional title:

    一种信号交叉口处混合流下网联自动车轨迹优化控制方法


    Contributors:
    JIANG RUI (author) / XIONG BANGKAI (author) / YANG CHAOYOU (author)

    Publication date :

    2022-08-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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