Subnetwork origin-destination matrix estimation considering network topology

被引:0
|
作者
Sun C. [1 ]
Cheng L. [1 ]
Luan X. [1 ]
Tu Q. [1 ]
Ma J. [1 ]
机构
[1] School of Transportation, Southeast University, Nanjing
来源
Cheng, Lin (gist@seu.edu.cn) | 1600年 / Southeast University卷 / 47期
关键词
Elastic demand; Heuristic iterative algorithm; Origin-destination matrix estimation; Subnetwork analysis; Topology structure;
D O I
10.3969/j.issn.1001-0505.2017.06.026
中图分类号
学科分类号
摘要
To design and evaluate the local transportation road network, the subnetwork origin-destination (OD) demand is estimated using the method of topology analysis. The nodes on the boundary of the subnetwork and inside the subnetwork are analyzed based on the subnetwork topology structure. The nodes on the boundary of the subnetwork, which connect with the outside of the subnetwork, generate or attract traffic flows; and the demands of the nodes inside the subnetwork are the same as those in the original full network. Then, the subnetwork OD matrix estimation model considering the subnetwork topology is established. This new model considers the maximum entropy and elasticity of OD demands in the objective function, and uses the OD demands as the constraints. The original problem is divided into solving the OD demand and road impedance, respectively. The heuristic iterative algorithm is designed to solve the established model, and the convex combination algorithm is developed to calculate the OD demand. The Sioux Falls network is used to illustrate the essential idea of the proposed model and the applicability of the proposed solution algorithm. The results show that the proposed model with elastic demand is superior to the OD estimation model with fixed demand in the terms of reliability and computational accuracy. The designed algorithm can rapidly convergence to the required accuracy, and the proposed model is an effective approach for simplifying the full network. © 2017, Editorial Department of Journal of Southeast University. All right reserved.
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页码:1248 / 1252
页数:4
相关论文
共 9 条
  • [1] Goodwin P., Noland R.B., Building new roads really does create extra traffic: A response to Prakash et al, Applied Economics, 35, 13, pp. 1451-1457, (2003)
  • [2] Millard-Ball A., Phantom trips: Overestimating the traffic impacts of new development, Journal of Transport and Land Use, 8, 1, pp. 31-49, (2015)
  • [3] Haghani A.E., Daskin M.S., Network design application of an extraction algorithm for network aggregation, Transportation Research Record, 944, pp. 37-46, (1983)
  • [4] Zhou X., Erdogan S., Mahmassani H., Dynamic origin-destination trip demand estimation for subarea analysis, Transportation Research Record: Journal of the Transportation Research Board, 1964, pp. 176-184, (2006)
  • [5] Boyles S.D., Bush-based sensitivity analysis for approximating subnetwork diversion, Transportation Research Part B: Methodological, 46, 1, pp. 139-155, (2012)
  • [6] Jafari E., Boyles S.D., Improved bush-based methods for network contraction, Transportation Research Part B: Methodological, 83, pp. 298-313, (2016)
  • [7] Gemar M., Bringardner J., Boyles S., Et al., Subnetwork analysis for dynamic traffic assignment models: Strategy for estimating demand at subnetwork boundaries, Transportation Research Record: Journal of the Transportation Research Board, 2466, pp. 153-161, (2014)
  • [8] Xie C., Kockelman K., Waller S., Maximum entropy method for subnetwork origin-destination trip matrix estimation, Transportation Research Record: Journal of the Transportation Research Board, 2196, pp. 111-119, (2010)
  • [9] Xie C., Kockelman K.M., Waller S.T., A maximum entropy-least squares estimator for elastic origin-destination trip matrix estimation, Transportation Research Part B: Methodological, 45, 9, pp. 1465-1482, (2011)