车辆轨迹-交通信号协同优化仿真数据集
收藏国家基础学科公共科学数据中心2024-03-05 收录
下载链接：
https://www.nbsdc.cn/general/dataDetail?id=64edc9a0bb16e07753c35cc5&type=1
下载链接
链接失效反馈官方服务：
资源简介：
车辆轨迹-交通信号协同优化仿真数据集是考虑不同CAV渗透率情形下的车辆轨迹-交通信号协同优化仿真数据，是由SUMO微观仿真得到。通过建立仿真路网，构建Gipps跟驰模型，输入典型跟驰模型参数值，运行仿真得到网联混行环境下的车辆轨迹数据，包括每一时刻车辆的位置、速度和加速度数据，相关CAV渗透率值设为0、0.02、0.05、0.1和0.2。
This Vehicle Trajectory-Traffic Signal Cooperative Optimization Simulation Dataset contains simulation data for vehicle trajectory-traffic signal cooperative optimization under various CAV penetration rates, generated via SUMO microscopic simulation. A simulated road network is constructed, and the Gipps' car-following model is established with typical parameter values of the car-following model input. Vehicle trajectory data in the connected and automated mixed traffic environment are obtained through simulation runs, including the position, velocity, and acceleration data of each vehicle at every time instant. The relevant CAV penetration rates are set to 0, 0.02, 0.05, 0.1, and 0.2.
提供机构：
浙江大学
