本文選題：智能交通系統(tǒng) + 交通信息采集��； 參考：《南京郵電大學(xué)》2014年碩士論文

【摘要】：智能交通系統(tǒng)（Intelligent Transportation Systems, ITS）作為解決各種城市交通問題的新途徑，近年來得到了大力發(fā)展。在ITS的七大子系統(tǒng)中，先進的交通信息服務(wù)系統(tǒng)（AdvancedTraveler Information System, ATIS）和先進的交通管理系統(tǒng)（Advanced Traffic ManagementSystem, ATMS）在治理城市交通擁擠，方便居民出行方面發(fā)揮了巨大作用。本文主要對ATIS、ATMS子系統(tǒng)中的動態(tài)交通信息采集技術(shù)和交通實時誘導(dǎo)技術(shù)進行深入的研究，主要工作包括以下三點： （1）為了解決交通信息采集的GPS數(shù)據(jù)點與地理信息系統(tǒng)（Geographic InformationSystem, GIS）的地圖匹配問題，本文研究以道路交叉口為分界點對路段進行劃分的方法，針對某些相鄰道路交叉口距離比較遠的路段，本文提出劃分子路段的概念。在對道路進行路段劃分的基礎(chǔ)上，本文研究了一種先擬合再取算術(shù)平均的路段平均行程時間估計方法。 （2）為了解決動態(tài)交通信息采集精度的問題，本文提出以路段平均行程時間估計的相對誤差作為指標，研究了在不同道路服務(wù)水平等級下浮動車最小樣本量與該相對誤差的定量關(guān)系。仿真結(jié)果表明當(dāng)要求路段平均行程時間估計的相對誤差不超過15%，在道路服務(wù)水平等級為A~E時，，浮動車的相對樣本量取15%能滿足要求。 （3）為了解決交通分配與誘導(dǎo)過程中交通出行者與管理者之間的矛盾，本文提出了一種基于用戶最優(yōu)與系統(tǒng)最優(yōu)協(xié)調(diào)的交通分配誘導(dǎo)模型。仿真結(jié)果表明該模型在系統(tǒng)總體出行費用方面和基于系統(tǒng)最優(yōu)的交通分配模型比較接近，而且在出行者個人出行費用方面也能維持在一個比較低的水平。
[Abstract]:Intelligent Transportation Systems (ITSs), as a new way to solve various urban traffic problems, has been greatly developed in recent years. Among the seven subsystems of ITS, the advanced traffic information service system, Advanced Traveler Information System, ATIS), and the advanced traffic management system, Advanced Traffic ManagementSystem, ATMS), have played a great role in controlling urban traffic congestion and making it convenient for residents to travel. In this paper, the dynamic traffic information collection technology and real-time traffic guidance technology in ATIS-ATMS subsystem are deeply studied. The main work includes the following three points: In order to solve the problem of map matching between GPS data points collected by traffic information and Geographic Information system (GIS), this paper studies the method of dividing road sections with road intersections as boundary points. In this paper, the concept of subsection is proposed for some adjacent road intersections which are far away from each other. Based on the division of road sections, this paper studies a method to estimate the average travel time of road sections by fitting and then taking arithmetic average. 2) in order to solve the problem of dynamic traffic information collection accuracy, the relative error of average travel time estimation is proposed as an index in this paper. The quantitative relationship between the minimum sample size and the relative error of floating train at different road service levels is studied. The simulation results show that when the relative error of the estimated average travel time is not more than 15, the relative sample size of the floating vehicle can meet the requirement when the road service level is Ake. 3) in order to solve the contradiction between the traveler and the manager in the process of traffic assignment and guidance, this paper proposes a traffic assignment guidance model based on the optimal coordination between user and system. The simulation results show that the proposed model is close to the optimal traffic allocation model in terms of the total travel cost of the system and can be maintained at a relatively low level in terms of the individual travel cost of the traveller.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U495

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本文編號：1858056