A Novel Highway Traffic Capacity Analyzing Method under Road Region Atmospheric Environment Constrains Based on Computational Fluid Dynamics Model
Ruohan Li, Hualan Wang, Qiyang Zhang, Ting Nie

TL;DR
This paper introduces a CFD-based method to analyze highway traffic capacity considering environmental pollution constraints, accurately modeling emissions and their impact on traffic flow.
Contribution
It develops a coupled CFD and traffic emission model to evaluate traffic capacity under atmospheric pollution constraints, filling a gap in existing methods.
Findings
CFD simulation error within 10% of real emissions
Traffic capacity of G30 Yongshan highway is approximately 740,000 vehicles annually
SO2 emissions impose the greatest limitation on traffic capacity
Abstract
Highways always have a huge impact on the environment, quantifying the level of pollution and calculating the traffic capacity under environmental constraints is an important part of practicing environmental protection. Available traffic capacity methods do not focus on the traffic emissions impact on road region environment. To fill this research gap, this paper proposes a method consisting of Computational Fluid Dynamics (CFD) model and Traffic Flow Field and the Gas Flow Field coupled model for the traffic capacity model. The COPERT 5 model is adopted to simulate the traffic emissions on highways with field measurement data and traffic conditions as initial conditions. Then, these are served as the inputs, set and further calculated using coupled model in the CFD numerical simulation phase. Finally, modeling the Traffic Capacity model and calculating the traffic capacity. The…
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Taxonomy
TopicsTraffic Prediction and Management Techniques · Traffic control and management · Vehicle emissions and performance
