E3S Web Conf.
Volume 268, 20212020 6th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2020)
|Number of page(s)
|11 June 2021
GIS-based analysis of urban traffic model: Case study in Beijing
1 School of Mechanical Engineering, Hebei University of Technology, Tianjin & 300132, China
2 China Automotive Technology and Research Center Co., Ltd., Tianjin & 300300, China
* Corresponding author: email@example.com
Taking the traffic flow characteristics of Beijing's entire road network as the object, and using the low-frequency traffic big data of GIS (Geographic Information System), the roads of the whole road network are divided into four road grades, and the traffic flow-speed models are constructed respectively. In view of the deviation of the model calculation caused by the sudden rise and fall of the traveling vehicle at night, the flow of the traffic flow model is corrected by cubic polynomial fitting, and the mathematical model is compared, calibrated and verified. Focus on analyzing the influence of roads of different grades and seasons on the characteristics of road traffic flow, and provide data support for further research on intelligent transportation.
Key words: GIS / traffic flow model / traffic flow / Vehicle travel time / roads of all levels
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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