本文選題：高速公路 + 模糊C-均值��； 參考：《華南理工大學(xué)學(xué)報(bào)(自然科學(xué)版)》2014年12期

【摘要】：目前高速公路交通數(shù)據(jù)資源未得到充分利用,使得管理和建設(shè)成本較高的高速公路聯(lián)網(wǎng)收費(fèi)系統(tǒng)只能實(shí)現(xiàn)車輛記錄、聯(lián)網(wǎng)收費(fèi)等初級功能,導(dǎo)致交通數(shù)據(jù)資源的嚴(yán)重浪費(fèi).為此設(shè)計(jì)了基于高速公路聯(lián)網(wǎng)收費(fèi)數(shù)據(jù)的路段行程時(shí)間估計(jì)方法,提出以大、小車速度變化情況為基礎(chǔ),采用模糊C-均值聚類方法對高速公路交通狀態(tài)進(jìn)行判別,并應(yīng)用VISSIM軟件分別對上述兩種方法驗(yàn)證分析.結(jié)果表明,路段行程時(shí)間估計(jì)方法能夠獲得高質(zhì)量的路段行程時(shí)間數(shù)據(jù),同時(shí)交通狀態(tài)判別方法也能夠準(zhǔn)確判別出道路上所呈現(xiàn)的交通狀態(tài),可為歷史數(shù)據(jù)更新提供技術(shù)支持,為高速公路交通管理部門提供精確的決策依據(jù).
[Abstract]:At present, the highway traffic data resources have not been fully utilized, making the expressway network toll system with high cost of management and construction can only realize the primary function of vehicle record, network charge and so on, which leads to the serious waste of traffic data resources. Therefore, a road travel time estimator based on the toll data of high-speed public road network is designed. On the basis of the change of the speed of large and small cars, the fuzzy C- means clustering method is used to distinguish the traffic state of the expressway, and the above two methods are verified and analyzed with the VISSIM software. The results show that the link travel time estimation method can obtain the high quality section travel time data, and the traffic state is judged at the same time. The other methods can also accurately identify the traffic status on the road, providing technical support for the updating of historical data and providing accurate decision-making basis for the highway traffic management department.
【作者單位】： 吉林大學(xué)汽車仿真與控制國家重點(diǎn)實(shí)驗(yàn)室;吉林大學(xué)交通學(xué)院;
【基金】：國家科技支撐計(jì)劃項(xiàng)目(2014BAG03B03) 山東省省管企業(yè)科技創(chuàng)新項(xiàng)目(20122150251-5)
【分類號】：U491

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 姜桂艷;蔡志理;Q，

本文編號：2085917