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Conference Paper
SALT Traffic Demand Generation and Calibration for Urban Road Network
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- Authors
- Hyewon Song, Moonyoung Chung
- Issue Date
- 2020-12
- Citation
- International Conference on Internet (ICONI) 2020, pp.1-2
- Language
- English
- Type
- Conference Paper
- Abstract
- The traffic simulation is one of solutions to analyze and forecast the traffic state for road network. In order to simulate the real traffic situation well, the similarity of traffic demands with real traffic demands is important. In this paper, we present the traffic demand generation process for SALT and its calibration process to fit the estimated demand to real demand using diverse traffic data in 4 administrative districts in Gangnam area, Seoul. Finally, compared with measured real traffic volume, we show the estimated demand volume is within about 12% errors coverage.
- KSP Keywords
- Traffic Demand, Traffic Simulation, Traffic volume, generation process, traffic data, traffic situation, traffic state, urban road network