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A flexible, adaptive traffic network simulation with parameter estimation
| 题名： | A flexible, adaptive traffic network simulation with parameter estimation |
| 其他题名： | 1 ANDATA Development Technology GmbH. |
| 正文语种： | 英文 |
| 作者： | Elvira Thonhofer |
| 关键词： | Fisher Information Matrix;optimization;parameter identification;traffic modeling |
| 摘要： | This article deals with macroscopic traffic modeling and online parameter estimation suitable for realtime simulation of complex road configurations.Anumerical model for the nonlinear hyperbolic transport equation is introduced that works with a fundamental diagram of arbitrary shape and piecewise differentiable, discontinuous initial conditions. Suitable boundary conditions at road inlets and outlets are realized. A method to identify parameters of the underlying fundamental diagram via aggregated traffic sensor data is presented and the Fisher Information Matrix is utilized to optimize traffic sensor placement. The choice of parameterization, sensor placement, and the range of sensor data affect identifiability of the parameters of the fundamental diagram. The results are validated by comparison with a microscopic traffic simulation based on a car-following model. |
| 出版年： | 2017 |
| 论文唯一标识： | J-96Y2017V21N01006 |
| 英文栏目名称： | Review |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 拼音刊名(出版物代码)： | J-96 |
| 卷： | 21 |
| 期： | 01 |
| 页码： | 63-77 |
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