Real-world heavy-duty truck trajectories on signalized corridors

This dataset contains real-world trajectories of a heavy-duty truck traveling on two urban freight corridors—Alameda St and Wilmington Ave—near the Ports of Los Angeles and Long Beach in California. Some of the signalized intersections on these two corridors have been instrumented with communication devices to enable a connected vehicle application called Eco-Approach and Departure (EAD). The EAD application uses signal phase and timing information from the upcoming traffic signal along with the information about the state of the host vehicle and preceding traffic to determine the best course of action for the host vehicle to pass through the intersection. The truck trajectories in this dataset were collected during the real-world experiment to evaluate the effectiveness of a truck EAD system in reducing energy consumption of the truck. The dataset contains truck trajectories when driving with and without the use of the truck EAD system in both directions of the two corridors.

本数据集收录了美国加利福尼亚州洛杉矶港与长滩港周边两条城市货运通道——阿拉米达街（Alameda St）、威尔明顿大道（Wilmington Ave）——上重型卡车的真实行驶轨迹。该两条通道的部分信号控制交叉口已加装通信设备，以支撑一款名为「绿色进出（Eco-Approach and Departure, EAD）」的网联车辆应用。该EAD应用会利用前方交通信号灯的相位与配时信息，结合搭载该系统的本车状态与前方车流信息，为车辆规划通过交叉口的最优行驶方案。本数据集内的卡车行驶轨迹采集自真实道路试验，用于评估卡车适配版EAD系统对降低车辆能耗的实际成效。本数据集涵盖了两条通道双向行驶场景下，启用与未启用卡车EAD系统两种工况下的重型卡车行驶轨迹数据。