LI Xiaoyang, LIN Zhiyang, Lü Yupei, ZHANG Peng. A 2D Continuous Dynamic Traffic Assignment Model and Traffic-Related Emission Estimation Considering Housing Distribution[J]. Applied Mathematics and Mechanics, 2020, 41(1): 27-41. doi: 10.21656/1000-0887.400213
Citation: LI Xiaoyang, LIN Zhiyang, Lü Yupei, ZHANG Peng. A 2D Continuous Dynamic Traffic Assignment Model and Traffic-Related Emission Estimation Considering Housing Distribution[J]. Applied Mathematics and Mechanics, 2020, 41(1): 27-41. doi: 10.21656/1000-0887.400213

A 2D Continuous Dynamic Traffic Assignment Model and Traffic-Related Emission Estimation Considering Housing Distribution

doi: 10.21656/1000-0887.400213
Funds:  The National Natural Science Foundation of China(General Program)(11672348;11972121;11272199);China Postdoctoral Science Foundation(2019M661362);The National Key R&D Program of China(2018YFB1600900);The National Basic Research Program of China(973 Program)(2012CB725404)
  • Received Date: 2019-07-15
  • Rev Recd Date: 2019-09-05
  • Publish Date: 2020-01-01
  • A 2D continuous dynamic traffic assignment model considering housing distribution was proposed, and then the traffic-related emissions were estimated. In the model, the traffic demand is influenced by housing distribution, and travelers choose departure times and routes according to the dynamic user-optimal principle. The model can be used to describe the dynamic traffic and obtain the traffic density, velocity and flow. A speed and acceleration-based microscopic emission model VT-micro was applied to estimate the traffic-related CO2 emissions. The finite volume method, the projection method and the successive average method were constructed based on triangular meshes. A numerical example of a city with a single CBD was presented to demonstrate the effectiveness of the model and the numerical algorithm.
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