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Conference Paper UNIQ-SALT: Urban Mesoscopic Traffic Simulation for City Road Network
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Authors
Hyewon Song, Moonyoung Chung
Issue Date
2021-12
Citation
International Conference on Internet (ICONI) 2021, pp.231-232
Language
English
Type
Conference Paper
Abstract
The urban traffic simulation is one of solutions to analyze and forecast the traffic state for city road network. In order to simulate the real traffic situation well, the fine-tuning simulation inputs, including road network and traffic demands, closer to real measured data is important. In this paper, we present the UNIQ-SALT, which is the urban mesoscopic traffic simulation, and its calibration process to fit the simulated results to real traffic data collected by diverse spots in target area including about 100 traffic signals on Yooseong area, Daejeon. Finally, compared with measured real traffic volume and passing speed, we show the simulated result is within about 10% errors coverage.
KSP Keywords
City road network, Data collected, Fine-tuning, Mesoscopic traffic simulation, Target area, Traffic signals, Traffic volume, Urban traffic simulation, measured data, traffic data, traffic situation