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Intersection Vehicle Cooperative Eco-Driving in the Context of Partially Connected Vehicle Environment

机译:部分连接的车辆环境下的交叉口车辆合作生态驾驶

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Vehicles with communication functionality are appearing on the roads and transition towards a fully connected vehicle environment will be gradual. Infra-vehicle communication can play a major role in promoting traffic performance in a partially connected vehicle environment. This paper addresses such a real traffic context to present a vehicle control system for eco-driving based on intersection vehicle cooperation. More specifically, the proposed system measures the state of the preceding vehicle by own sensors, and receives information from upcoming intersection signal that exists within the communication range. Next, based on the predicted behavior of the preceding vehicle in a look forward horizon and traffic signal timing, the optimal acceleration of the vehicle is generated in a model predictive control framework. The velocity of the vehicle is dynamically tuned to reduce or avoid idling in red signals either by speeding up or slowing down early, considering constraint imposed by any unconnected preceding vehicles. The proposed eco-driving system is evaluated through microscopic simulation.
机译:具有通信功能的车辆正在出现在道路上,向完全连接的车辆环境的过渡将是逐步的。在部分连接的车辆环境中,车载通信可以在提高交通性能方面发挥重要作用。本文针对这样一种现实的交通环境,提出了一种基于交叉路口车辆协作的生态驾驶车辆控制系统。更具体地,所提出的系统通过自己的传感器测量在前车辆的状态,并从存在于通信范围内的即将到来的交叉路口信号接收信息。接下来,基于前瞻车辆在前瞻视野和交通信号定时中的预测行为,在模型预测控制框架中生成车辆的最佳加速度。考虑到任何未连接的先前车辆施加的约束,可以通过提前加速或减速来动态调整车辆的速度,以减少或避免空转红色信号。拟议的生态驾驶系统通过微观仿真进行了评估。

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