特大桥风险路段高风险交通行为防控预警数据

驾驶模拟测试人因数据库面向防控策略效用评估，基于驾驶模拟实验采集产生，以驾驶人行为表现及车辆运行数据为主，驾驶人行为表现数据主要包括不同防控策略下运行时间、行驶里程、速度、加速度、相邻车辆跟驰距离、碰撞记录等数据，数据量为1.75G。微观交通仿真评价数据库是以VISSIM仿真输出的1h的车辆记录数据为源数据，在车辆布满整个仿真路网后截取获得了跨江桥路段5min的车辆运行数据。主要包括车辆行驶里程、行驶时间、车辆编号、加速度、速度、前后车速度差、前后车跟驰距离等数据，数据量为147M。

The Driving Simulation Test Human Factors Database is designed for the efficacy evaluation of prevention and control strategies. It is collected via driving simulation experiments, focusing primarily on driver behavior performance and vehicle operation data. Driver behavior performance data mainly includes metrics such as travel time, driving mileage, speed, acceleration, car-following distance with adjacent vehicles, and collision records under different prevention and control strategies, with a total data volume of 1.75 GB.
The Microscopic Traffic Simulation Evaluation Database uses 1-hour vehicle record data output from VISSIM simulations as the source data. 5-minute vehicle operation data of the cross-river bridge section was extracted after the entire simulation road network was fully populated with vehicles. It mainly includes metrics such as vehicle driving mileage, travel time, vehicle ID, acceleration, speed, speed difference between preceding and following vehicles, and car-following distance between preceding and following vehicles, with a total data volume of 147 MB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于特大桥风险路段的高风险交通行为防控预警，包含驾驶模拟实验采集的驾驶人行为表现数据（如速度、跟驰距离等）和基于VISSIM仿真的车辆运行数据（如行驶时间、加速度等），总数据量约1.9GB，用于评估防控策略的效用。