SUMO Traffic Intersection Dataset

该数据集是通过在SUMO微观交通模拟器中模拟一个交通路口获得的，基于36小时的模拟数据，这些数据经过与现实交通流量的校准。该数据集的结构设计允许分析各种车辆运动情况，并包含如碰撞时间（TTC）和闯红灯违规等指标。平均车辆流量在每小时900至1100辆之间。该数据集的任务是针对模拟交通条件下的车辆轨迹预测与评估。

This dataset is generated by simulating a traffic intersection in the SUMO microscopic traffic simulator, utilizing 36 hours of simulated data that has been calibrated against real-world traffic flows. The dataset's structure is designed to support analysis of diverse vehicle motion scenarios, and includes metrics such as Time To Collision (TTC) and red-light violation incidents. The average vehicle traffic volume ranges from 900 to 1100 vehicles per hour. The core task of this dataset is vehicle trajectory prediction and evaluation under simulated traffic conditions.

搜集汇总

背景与挑战

背景概述

SUMO Traffic Intersection Dataset是一个基于SUMO微观交通模拟器生成的交通路口数据集，通过36小时模拟并经现实交通流量校准，包含碰撞时间（TTC）和闯红灯违规等指标，平均车辆流量为每小时900至1100辆，主要用于车辆轨迹预测与评估任务。