【摘要】：城市道路擁堵現(xiàn)象已經對公眾的生活產生嚴重影響,如何快速有效地發(fā)現(xiàn)并及時處理交通擁堵現(xiàn)象已成為交通發(fā)展中的重中之重。浮動車數(shù)據(jù)作為交通狀態(tài)檢測的新來源,在交通狀態(tài)檢測領域有著廣闊的應用前景。通過浮動車數(shù)據(jù)估算路段最大排隊長度,并將其與路段車輛行駛速度、路段行程延誤時間作為區(qū)域內交通狀態(tài)評價參數(shù),基于模糊綜合評價算法,給出了一種在不同時間段內路段及區(qū)域交通狀態(tài)評價方法。最后通過實際浮動車數(shù)據(jù)進行實例驗證。實驗結果表明該算法對于能夠較好地檢測區(qū)域路網(wǎng)交通狀態(tài),具有較好的實用性。
[Abstract]:The phenomenon of urban road congestion has had a serious impact on the life of the public, how to quickly and effectively detect and deal with the phenomenon of traffic congestion in time has become the most important thing in the development of traffic. As a new source of traffic condition detection, floating car data has a broad application prospect in the field of traffic condition detection. The maximum queue length of the road section is estimated by floating car data, and the travel speed and delay time of the road section are taken as the evaluation parameters of the traffic state in the area, based on the fuzzy comprehensive evaluation algorithm. An evaluation method of road section and regional traffic condition in different time periods is presented. Finally, an example is given to verify the actual floating car data. The experimental results show that the algorithm can detect the traffic state of the regional road network and has good practicability.
【作者單位】： 中國航天系統(tǒng)工程有限公司;
【基金】：交通運輸部2014年度科技項目(14CNIC03-8119)資助
【分類號】：U491

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本文編號：2494582