---
title: CitySim
canonical_url: "https://www.modelscope.cn/datasets/OmniData/CitySim"
md_url: "https://www.modelscope.cn/datasets/OmniData/CitySim.md"
repository: OmniData/CitySim
last_updated: 2024-07-01
license: "[Apache 2.0]"
storage_size: "13 MB"
domain:
  - publishDate
  - displayName
  - paperUrl
  - publishUrl
  - taskTypes
  - mediaTypes
  - publisher
tasks:
  - 2022-04-04
  - CitySim
  - "https://arxiv.org/pdf/2208.11036.pdf"
  - "https://github.com/ozheng1993/UCF-SST-CitySim-Dataset"
  - "Proactive traffic safety applications"
  - "Signal Timming"
  - "University of Central Florida"
downloads: 112
stars: 1
---

# CitySim

> CitySim - OmniData 在 ModelScope 开源的数据集。displayName: CitySim labelTypes: [] license: Apache 2.0 mediaTypes: drone video-based vehicle trajectary SUMO Base Map Carla base map Signal Timming paperUrl: https://arxiv.org/pdf/2208.11036.pdf publishDate:…

OmniData/CitySim 是 ModelScope 魔搭社区上的2022-04-04、CitySim、https://arxiv.org/pdf/2208.11036.pdf数据集，涉及 publishDate、displayName、paperUrl 领域，存储大小 13 MB，采用 [Apache 2.0] 许可。

- **Repository**: OmniData/CitySim
- **License**: [Apache 2.0]
- **Tasks**: 2022-04-04, CitySim, https://arxiv.org/pdf/2208.11036.pdf, https://github.com/ozheng1993/UCF-SST-CitySim-Dataset, Proactive traffic safety applications, Signal Timming, University of Central Florida
- **Domain**: publishDate, displayName, paperUrl, publishUrl, taskTypes, mediaTypes, publisher
- **Storage size**: 13 MB
- **Downloads**: 112
- **Stars**: 1
- **Last updated**: 2024-07-01

Source: https://www.modelscope.cn/datasets/OmniData/CitySim

---

displayName: CitySim
labelTypes: []
license:
- Apache 2.0
mediaTypes:
- drone video-based vehicle trajectary
- SUMO Base Map
- Carla base map
- Signal Timming
paperUrl: https://arxiv.org/pdf/2208.11036.pdf
publishDate: "2022-04-04"
publishUrl: https://github.com/ozheng1993/UCF-SST-CitySim-Dataset
publisher:
- University of Central Florida
tags:
- Connected intelligent transportation systems
taskTypes:
- conflict-based safty analysis
- driving behavior modeling
- Autonomous driving algorithms
- Proactive traffic safety applications

---
# 数据集介绍
  ## 简介
  随着无人机的普及和计算机视觉技术的发展，高精度航拍视角车辆轨迹数据成为了当下诸多热点的研究方向的基础，包括基于冲突的安全分析，驾驶行为建模，自动驾驶算法、主动交通安全和互联交通安全应用。
CitySim无人机车辆轨迹和数字孪生开源数据集。该数据集由美国中佛罗里达大学Dr. Aty团队的郑欧博士，岳李圣飒博士，博士生王子衿等人于2022年推出，并在持续更新中。数据集主页：https://github.com/ozheng1993/UCF-SST-CitySim-Dataset。CitySim数据集提供超过来自多个国家不同天气、不同地点的无人机航拍数据，时长总计超过1200分钟。道路类型丰富，包括高速公路基本路段、高速公路匝道汇入/汇出、城市快速路、合流分流交织区、信控交叉口、环岛等多个地点。冲突样本量丰富，驾驶行为高度异质化。每个数据点经过人工修正，以确保零错误。CitySim还是首个提供7个车辆关键点的数据集。CitySim数据集还提供拍地点的高精度3D仿真地图以支持数字孪生相关研究。地图基于GIS信息制作，支持Carla、Sumo和Unity等平台的仿真。此外，数据集还提供与轨迹对应的信号灯配时数据。完整数据访问，请向我们发送申请表至此电子邮件：citysim.ucfsst@gmail.com（在此下载表格：https://github.com/ozheng1993/UCF-SST-CitySim-Dataset/blob/main/asset/MainPage/Data_Request_Form.pdf）
  ## 引文
  @article{zheng2022citysim, title={CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins}, author={Zheng, Ou and Abdel-Aty, Mohamed and Yue, Lishengsa and Abdelraouf, Amr and Wang, Zijin and Mahmoud, Nada}, journal={arXiv preprint arXiv:2208.11036}, year={2022} }
  
## Download dataset
:modelscope-code[]{type="git"}