Related Experiment Video
Updated: Aug 12, 2025
14:55
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
Published on: January 20, 2023
3.4K
City-scale holographic traffic flow data based on vehicular trajectory resampling
Yimin Wang1,2, Yixian Chen1,2, Guilong Li1,2
1Research Center of Intelligent Transportation System, SUN YAT-SEN University, Guangzhou, 510006, People's Republic of China.
Scientific Data
|January 25, 2023
Summary
Researchers created holographic traffic data from vehicle trajectories to precisely track city traffic flow. This breakthrough enables detailed traffic evolution analysis and understanding of individual mobility patterns.
Area of Science:
- Transportation Science
- Urban Mobility Analytics
- Data Science
Background:
- Existing traffic flow estimation methods struggle with data detail and integrity.
- A comprehensive dataset is needed to capture fine-grained traffic dynamics and personal mobility.
Purpose of the Study:
- To construct a city-scale dataset of continuous vehicular trajectories with high resolution and integrity.
- To enable detailed reproduction of traffic flow evolution and analysis of urban mobility patterns.
Main Methods:
- Utilized Automatic Vehicle Identification (AVI) devices for data collection in Xuancheng city.
- Constructed one-month continuous trajectories for 80,000 daily vehicles, recording accurate intersection passing times.
- Resampled holographic trajectories to generate traffic flow data, including average speed, flow, and floating car data (FCD).
Main Results:
- Developed a novel holographic traffic dataset with unprecedented resolution and integrity.
- Generated 5-minute interval stationary average speed and flow data for the entire city.
- Provided dynamic floating car data (FCD) reflecting real-time traffic conditions.
Conclusions:
- Holographic traffic data offers a breakthrough for detailed traffic flow reproduction and analysis.
- The dataset enables a deeper understanding of urban personal mobility patterns.
- This approach significantly enhances traffic flow estimation and optimization capabilities.
Related Concept Videos
01:18Uniform Depth Channel Flow: Problem Solving
107
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
107
01:27Uniform Depth Channel Flow
116
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
116