The Combined Distribution and Assignment Model: A New Solution Algorithm and Its Applications in Travel Demand Forecasting for Modern Urban Transportation
The Combined Distribution and Assignment Model: A New Solution Algorithm and Its Applications in Travel Demand Forecasting for Modern Urban Transportation
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分配与分配相结合的模型：一种新的求解算法及其在现代城市交通出行需求预测中的应用
DOI：
10.3390/su11072167
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发表时间：
2019-04
期刊：
影响因子：
3.9
通讯作者：
Chu Zhaoming
中科院分区：
文献类型：
--
作者：
Tan Heqing;Du Muqing;Jiang Xiaowei;Chu Zhaoming
With the development of the advanced Intelligent Transportation System (ITS) in modern cities, it is of great significance to upgrade the forecasting methods for travel demand with the impact of ITS. The widespread use of ITS clearly changes the urban travelers’ behavior at present, in which case it is difficult for the conventional four-step travel demand forecasting model to have good performance. In this study, we apply the combined distribution and assignment (CDA) model to forecasting travel demand for modern urban transportation, in which travelers may choose the destination and path simultaneously. Furthermore, we present a new solution algorithm for solving the CDA model. With the network representation method that converts the CDA model into a standard traffic assignment problem (TAP), we develop a new path-based algorithm based on the gradient projection (GP) algorithm to solve the converted CDA model. The new solution algorithm is designed to find a more accurate solution compared with the widely used algorithm, the Evans’ two-stage algorithm. Two road networks, Sioux Falls and Chicago Sketch, are used to verify the performance of the new algorithm. Also, we conduct some experiments on the Sioux Falls network to illustrate several applications of the CDA model in consideration of the influences of ITS.
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影响因子：
6.8
作者：
Hai Yang;M. Bell;Q. Meng
通讯作者：
Hai Yang;M. Bell;Q. Meng
影响因子：
2.1
作者：
M. Du;Xiaowei Jiang;Lin Cheng
通讯作者：
M. Du;Xiaowei Jiang;Lin Cheng
DOI：
10.1016/j.cor.2013.08.022
发表时间：
2014-03
期刊：
Comput. Oper. Res.
影响因子：
--
作者：
A. Chen;S. Ryu;Xiangdong Xu;Keechoo Choi
通讯作者：
A. Chen;S. Ryu;Xiangdong Xu;Keechoo Choi
DOI：
10.1016/j.cor.2014.01.012
发表时间：
2014-07
期刊：
Comput. Oper. Res.
影响因子：
--
作者：
S. Ryu;A. Chen;Keechoo Choi
通讯作者：
S. Ryu;A. Chen;Keechoo Choi
一种求解组合分配和指派问题的改进的基于原点的算法
影响因子：
6.4
作者：
Gao Ziyou;Xu Meng;Chen Anthony
通讯作者：
Chen Anthony