基于智慧路口对抗交通流的合成数据集，依托路侧数据提取真实的交通流信息，对局部场景进行重建和全局场景进行融合，实现高精度真实动态场景的重建，随后基于TTC和PET等指标利用场景挖掘算法对变道、制动、典型交通流功能场景进行提取，形成真实场景库；基于真实场景，使用基于AI的自然及对抗交通流模型进行数据合成，通过城区交叉路口交通流场景合成技术，对原始单一场景进行泛化，增强自动驾驶训练数据集的多样性、解决仿

OpenDataLab2026-07-12 更新210

HighD_car_following_event_set

车辆跟驰模型

高速公路自然驾驶数据

HighD_car_following_event_set, including train, test, validation data.

Figshare2023-11-20 更新180

NGSIM_I_80_car_following_event_set

车辆跟驰模型

微观交通仿真

NGSIM_I_80_car_following_event_set, including train, test and validation data.

Figshare2023-11-20 更新100

HighD_car_following_validation_data

车辆跟驰行为

模型验证

HighD_car_following_validation_data

Figshare2023-11-20 更新190

Study on the characteristic laws of urban road traffic flow under rainstorm and waterlogging: Calibration results of car-following models

交通流模拟

驾驶行为分析

An experiment based on a high-fidelity driving simulator is conducted to collect the drivers’ behavior data in the scenario of rainfall and waterlogging where totally 30 groups of scenarios with diffe

Mendeley Data2024-03-27 更新140