SivaS Project Results: Traffic Observation Data and Exemplary Subset of Master Database
Type of the data | Dataset | |
Type of the data | Image | |
Type of the data | Text | |
Type of the data | Other | |
Total size of the dataset | 47796535757 | |
Author | Kannan, Rajagopalan | |
Author | Prokop, Günther | |
Author | Kollascheck, Armin | |
Author | Gerike, Regine | |
Author | Stoller, André | |
Author | Böhme, Tobias | |
Upload date | 2025-06-30T12:59:12Z | |
Publication date | 2025-06-30T12:59:12Z | |
Publication date | 2025-06-30 | |
Abstract of the dataset | This dataset comprises JSON files and .mp4 video recordings that collectively form the foundation of a centralized database for traffic observations, referred to as the SivaS Master Database. Included in the dataset are: (i) a subset of the raw traffic observation data, (ii) JSON schemas defining the standardized data structure for traffic data storage, (iii) the hierarchical folder framework for organizing such data, and (iv) an exemplary implementation of the standardized database. Given the complexity of the raw data and the substantial effort involved in converting it into the standardized structure, only a limited sample dataset was manually curated and prepared. The SivaS Master Database was created by transforming a subset of the raw traffic data collected during the project into the established database, designed to support integration from various acquisition systems. The dataset includes traffic observations obtained through three different modalities: drones, stationary pole-mounted cameras, and sensor-equipped NDS (Naturalistic Driving Study) vehicles. Specifically, it features over 60 minutes of video recordings from a junction in the city of Dresden, captured simultaneously by three stationary cameras. Additionally, it contains more than 30 minutes of drone-based video footage from two separate junctions in the city of Hoyerswerda. It also includes vehicle positioning data collected by a sensor-equipped observation vehicle, formatted according to the standardized structure, from traffic observations conducted in Hoyerswerda. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/1559 | |
Public reference to this page | https://doi.org/10.25532/OPARA-887 | |
Publisher | Technische Universität Dresden | |
Licence | Attribution-NonCommercial-ShareAlike 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
Specification of the discipline(s) | 4::45::410::410-02 | |
Specification of the discipline(s) | 4::45 | |
Specification of the discipline(s) | 4::44 | |
Specification of the discipline(s) | 4::44::409::409-05 | |
Specification of the discipline(s) | 4 | |
Title of the dataset | SivaS Project Results: Traffic Observation Data and Exemplary Subset of Master Database | |
Project abstract | Automated driving functions have become a standard feature in modern vehicles and are expected to influence future road traffic systems. However, standardized testing procedures for testing and validating connected and automated driving functions, such as highway pilot systems, are not yet fully established. Addressing this requires a comprehensive understanding of present-day traffic dynamics, particularly concerning vehicle interactions and the emergence of complex or critical scenarios. In this context, the SivaS project, centered around the city of Hoyerswerda, explored diverse methods for collecting real-world traffic data, including the use of drone cameras, stationary cameras mounted on poles, and sensor-equipped measurement vehicles. The data collected enables a broad-level analysis of traffic behavior and contributes to foundational insights relevant to the performance assessment of driver assistance functions, including the identification of key parameters and patterns that may inform future testing and regulatory frameworks. The SivaS project was funded by the Federal Ministry for Digital and Transport (BMDV) under the mFUND innovation initiative, with a total grant of €1,791,221, and was successfully concluded in December 2024. | |
Public project website(s) | https://tu-dresden.de/bu/verkehr/kft/forschung/forschungsprojekte/sivas | |
Public project website(s) | https://bmdv.bund.de/SharedDocs/DE/Artikel/DG/mfund-projekte/sivas.html | |
Project title | SivaS |
Files
Original bundle
1 - 4 of 4
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- Name:
- SivaS_Master_Database_Structure.txt
- Size:
- 1.93 KB
- Format:
- Plain Text
- Description:
- This provides a hierarchical representation of the folder structure used in the SivaS Master Database. It outlines the organization and layout of directories and files within the database, reflecting the standardized data structure developed for storing traffic observation data from diverse acquisition systems. This file serves as a reference for understanding the logical arrangement and categorization of the data, facilitating easier navigation and consistent data handling.
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- Name:
- Datastructure_Schemas.7z
- Size:
- 9.12 KB
- Format:
- Unknown data format
- Description:
- It contains a collection of JSON schema files that define the components of the proposed standardized data structure. These schemas describe the expected format, structure, and data types for various elements within the database. It serves two key purposes: (1) providing a clear specification of the different elements of the data structure, and (2) enabling automated validation of dataset files to ensure structural and semantic consistency across the database.
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- Name:
- Raw_Data.7z
- Size:
- 8.29 GB
- Format:
- Unknown data format
- Description:
- This contains raw traffic observation data collected using all three acquisition methods employed in the project: drones (LKT), stationary cameras (MSP), and a sensor-equipped NDS vehicle (FSD). The data included supports the development and validation of the standardized dataset format introduced in the project.
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- Name:
- Sivas_Master_Database.7z
- Size:
- 36.23 GB
- Format:
- Unknown data format
- Description:
- This contains traffic observation data collected during the project, organized in the established standardized format for a central database for traffic observation. The collected raw traffic data was converted to the established standardized format and systematically arranged as per the defined folder hierarchy, ensuring consistency and compatibility across different observation methods.
License bundle
1 - 1 of 1
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- Name:
- license.txt
- Size:
- 4.66 KB
- Format:
- Item-specific license agreed to upon submission
- Description:
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