雜草算法在城市交通用戶平衡問題中的應用
發(fā)布時間:2019-04-21 19:05
【摘要】:根據(jù)城市交通中用戶平衡狀態(tài)的演化特征,提出了一種求解用戶平衡問題的新方法.該方法通過逐步添加最短路徑以保證所有阻抗最小路徑均被使用,并通過改進入侵雜草算法(IWO)來分配各路徑上的流量,以實現(xiàn)交通網(wǎng)絡(luò)上的用戶平衡.通過求解單個復雜交通網(wǎng)絡(luò)上的用戶平衡問題,驗證了該方法的有效性.在求解多個復雜交通網(wǎng)絡(luò)上的用戶平衡問題上,與連續(xù)平均法(MSA)進行對比,表明該新算法能更好地解決城市交通網(wǎng)絡(luò)用戶平衡問題.
[Abstract]:According to the evolution characteristics of user equilibrium in urban traffic, a new method to solve the user balance problem is proposed. By adding the shortest path step by step to ensure that all the minimum impedance paths are used, and by improving the intrusion weed algorithm (IWO) to allocate the traffic on each path to achieve the user balance on the traffic network. The effectiveness of the proposed method is verified by solving the user balance problem on a single complex traffic network. Compared with the continuous averaging method (MSA), the new algorithm can solve the user balance problem of urban traffic network better than that of the continuous average method in solving the problem of user balance in multiple complex traffic networks.
【作者單位】: 鄭州大學電氣工程學院;
【基金】:河南省基礎(chǔ)與前沿技術(shù)研究計劃資助項目(132300410420)
【分類號】:U491;TP18
,
本文編號:2462475
[Abstract]:According to the evolution characteristics of user equilibrium in urban traffic, a new method to solve the user balance problem is proposed. By adding the shortest path step by step to ensure that all the minimum impedance paths are used, and by improving the intrusion weed algorithm (IWO) to allocate the traffic on each path to achieve the user balance on the traffic network. The effectiveness of the proposed method is verified by solving the user balance problem on a single complex traffic network. Compared with the continuous averaging method (MSA), the new algorithm can solve the user balance problem of urban traffic network better than that of the continuous average method in solving the problem of user balance in multiple complex traffic networks.
【作者單位】: 鄭州大學電氣工程學院;
【基金】:河南省基礎(chǔ)與前沿技術(shù)研究計劃資助項目(132300410420)
【分類號】:U491;TP18
,
本文編號:2462475
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