雜草算法在城市交通用戶平衡問(wèn)題中的應(yīng)用
發(fā)布時(shí)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(wèn)題的新方法.該方法通過(guò)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(guò)改進(jìn)入侵雜草算法(IWO)來(lái)分配各路徑上的流量,以實(shí)現(xiàn)交通網(wǎng)絡(luò)上的用戶平衡.通過(guò)求解單個(gè)復(fù)雜交通網(wǎng)絡(luò)上的用戶平衡問(wèn)題,驗(yàn)證了該方法的有效性.在求解多個(gè)復(fù)雜交通網(wǎng)絡(luò)上的用戶平衡問(wèn)題上,與連續(xù)平均法(MSA)進(jìn)行對(duì)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(wèn)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(xué)電氣工程學(xué)院;
【基金】:河南省基礎(chǔ)與前沿技術(shù)研究計(jì)劃資助項(xiàng)目(132300410420)
【分類號(hào)】:U491;TP18
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本文編號(hào):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(xué)電氣工程學(xué)院;
【基金】:河南省基礎(chǔ)與前沿技術(shù)研究計(jì)劃資助項(xiàng)目(132300410420)
【分類號(hào)】:U491;TP18
,
本文編號(hào):2462475
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