【摘要】：針對現(xiàn)有道路網數(shù)據(jù)模型無法對不同車型、不同時段的動態(tài)網絡拓撲進行有效建模與表達,傳統(tǒng)路徑規(guī)劃方法缺乏對時段交通限行信息的支持,無法滿足基本日常出行需求的問題,對時段交通限行中時段、車型(車號尾數(shù))、限行信息的道路動態(tài)網絡拓撲描述進行研究,提出不同時段交通限行下的道路動態(tài)網絡拓撲模型,以實現(xiàn)不同車型(車號尾數(shù))、不同時段復雜城市交通路網連通拓撲的動態(tài)建模;同時在Dijkstra算法的基礎上,結合時段交通限行道路網絡模型的特點,加入節(jié)點連通性判斷,改進判斷車道間及車道的車型、時間、轉向限制等算法,構建了一種基于時段交通限行信息的路徑優(yōu)化方法,并以武漢市路網、武漢長江大橋和武漢長江二橋的時段交通限行信息為試驗數(shù)據(jù),完成不同車型、不同時段的跨江交通限行路徑規(guī)劃試驗,以驗證所提出模型的可行性。研究結果表明:基于時段交通限行的道路動態(tài)網絡拓撲模型與基于時段交通限行信息的路徑優(yōu)化方法完善了當前交通數(shù)據(jù)模型與路徑規(guī)劃方法的不足,可滿足在全新路網數(shù)據(jù)下的日常出行需求。
[Abstract]:In view of the fact that the existing road network data models cannot effectively model and express the dynamic network topology of different vehicles and different periods of time, the traditional path planning method lacks the support of traffic restriction information in the period of time. Unable to meet the basic daily travel needs, this paper studies the road dynamic network topology description of traffic restrictions in the period of traffic restrictions, such as the period of traffic restrictions, the number of vehicles (the number of the car), and the information of traffic restrictions. This paper proposes a dynamic road network topology model under different traffic restrictions to realize the dynamic modeling of the connectivity topology of complex urban traffic network in different models (the number of the vehicle) and the complex urban traffic network in different time periods. At the same time, on the basis of the Dijkstra algorithm, combined with the characteristics of the road network model of traffic restrictions in the period of time, the node connectivity judgment is added to improve the algorithms of judging the vehicle type, time, and turning limit between lanes and lanes, and so on. In this paper, a route optimization method based on traffic restriction information is constructed, and the traffic information of Wuhan road network, Wuhan Yangtze River Bridge and Wuhan Yangtze River second Bridge is used as the experimental data to complete the traffic restrictions of different vehicles. In order to verify the feasibility of the proposed model, the traffic route planning experiment of cross-river traffic in different time periods is carried out to verify the feasibility of the proposed model. The results show that the road dynamic network topology model based on traffic restrictions and the path optimization method based on traffic restriction information in the period of time perfect the shortcomings of the current traffic data model and path planning method. Can satisfy the daily travel demand under the new road network data.
【作者單位】： 武漢大學科學技術發(fā)展研究院;武漢大學城市設計學院;武漢大學測繪遙感信息工程國家重點實驗室;
【基金】：國家重點研發(fā)計劃項目(2017YFB0503600) 國家自然科學基金項目(41671442,41571430,41271442)
【分類號】：U491

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