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Urban link travel speed dataset from a megacity road network
Feng Guo1, Dongqing Zhang1, Yucheng Dong1
1Business School, Sichuan University, Chengdu, 610065, China.
Scientific Data
|May 18, 2019
Summary
We developed a new dataset of road link travel speeds in Chengdu, China. This data supports research in traffic, transportation, and logistics by showing realistic speed variations.
Area of Science:
- Traffic engineering
- Transportation science
- Logistics management
Background:
- Road network travel speeds are crucial for traffic, transportation, and logistics research.
- Existing datasets may not capture the realistic variations and randomness of urban link travel speeds.
Purpose of the Study:
- To develop a comprehensive dataset of road link travel speeds in a major Chinese megacity.
- To provide realistic traffic data for data-driven decision-making in transportation and logistics.
Main Methods:
- Collected travel speed data for each road link in Chengdu, China.
- Integrated travel speed data with the actual road network map.
- Captured data across different time periods to reflect temporal variations.
Main Results:
- The dataset includes realistic variations and randomness of urban link travel speeds.
- The data reflects diverse urban road network structures present in Chengdu.
- The dataset is representative of a megacity in Western China.
Conclusions:
- The developed dataset enhances research capabilities in traffic, transportation, and logistics.
- This resource enables data-driven decision-making for real-world transportation challenges.
- The dataset provides valuable insights into urban traffic dynamics.
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