基于前景理論的出行路徑選擇模型研究
發(fā)布時間：2018-12-10 13:58
【摘要】：隨著人們生活水平的提高,人均汽車擁有量逐年上升,也引起了很多交通問題,其中最嚴重的就是交通擁堵問題,然而傳統(tǒng)的交通系統(tǒng)管理和交通需求管理已經(jīng)無力緩解,國內(nèi)大多數(shù)學者一致認為智能交通系統(tǒng)(ITS)和先進的出行者信息系統(tǒng)(ATIS)是解決交通擁堵問題的有效途徑之一,而ATIS的核心就是路徑選擇問題,因此,研究路徑選擇問題對于完善ATIS有極大的作用和意義。國內(nèi)外學者對于確定環(huán)境下的路徑選擇問題已經(jīng)有系統(tǒng)和深入的研究,并擁有了一系列的研究成果,而不確定環(huán)境下的路徑選擇研究還是熱點研究問題。期望效用理論是解決不確定環(huán)境下路徑選擇的有效方法,但是效用理論認為人們是完全理性的假設與現(xiàn)實擇路行為有較大的差距。而前景理論假設人們是有限理性的,并通過國內(nèi)外學者大量的實證研究證實前景理論可以用來解決不確定環(huán)境下的路徑選擇問題。于是本文通過前景理論來研究不確定環(huán)境下的出行者路徑選擇問題。首先解析了不確定環(huán)境下的路徑選擇問題的分類,并詳細介紹了三種路徑選擇模型的理論方法,之后分析了不確定環(huán)境下路徑選擇問題的研究現(xiàn)狀。然后闡述了前景理論的提出背景、思想框架以及發(fā)展應用,最后分析了前景理論對路徑選擇的適用性。其次考慮出行者對準時到達的可靠性要求并結合行程時間預算的相關定義求出了行程時間預算區(qū)間,在此基礎上,將基于行程時間預算的到達時間作為本章模型的兩個參考點,建立了基于出發(fā)時刻的價值函數(shù)模型,然后通過出行者的個人主觀概率確定了決策權重函數(shù),進而搭建了基于前景理論的出發(fā)時刻和路徑選擇模型。通過對通勤者的SP調(diào)查統(tǒng)計得到了不同類型的通勤者的到達時間分布,并結合一個算例進行了驗證。最后通過出行者基于前景理論的決策過程建立了基于前景理論的動態(tài)路徑選擇模型,進而提出了該動態(tài)模型的算法,并通過一個算例進行驗證,然后再通過一個算例對基于效用理論和前景理論的路徑選擇模型進行比較得出前景理論比效用理論能夠更加準確地描述出行者在不確定性條件下的出行決策行為。
[Abstract]:With the improvement of people's living standards, the per capita car ownership has increased year by year, which has also caused many traffic problems, the most serious of which is the traffic congestion problem. However, the traditional traffic system management and traffic demand management have been unable to alleviate. Most domestic scholars agree that the intelligent transportation system (ITS) and the advanced traveler information system (ATIS) are one of the effective ways to solve the traffic congestion problem, and the core of ATIS is the path selection problem. The study of path selection is of great importance to the improvement of ATIS. Scholars at home and abroad have made systematic and in-depth research on the path selection problem in the deterministic environment, and have a series of research results. However, the research on path selection in uncertain environment is still a hot research issue. The theory of expected utility is an effective method to solve the problem of path choice in uncertain environments. However, the theory of utility holds that there is a big gap between the assumption that people are completely rational and the behavior of road choice in reality. The prospect theory assumes that people are bounded rational, and through a large number of empirical studies at home and abroad, the prospect theory can be used to solve the path selection problem in uncertain environment. So this paper studies the path selection problem in uncertain environment by foreground theory. Firstly, the classification of path selection problems in uncertain environment is analyzed, and the theoretical methods of three kinds of path selection models are introduced in detail, and then the current research situation of path selection problems in uncertain environments is analyzed. Then, the background, the frame of thought and the development and application of foreground theory are introduced. Finally, the applicability of foreground theory to path selection is analyzed. Secondly, considering the reliability requirements of travelers to arrive on time and combining with the definition of travel time budget, the travel time budget interval is obtained. On this basis, the arrival time based on travel time budget is regarded as the two reference points of this chapter model. The value function model based on the departure time is established, and then the decision weight function is determined by the individual subjective probability of the traveler, and the starting time and path selection model based on the foreground theory is built. Through the SP survey of commuters, the arrival time distribution of different types of commuters is obtained and verified by an example. Finally, the dynamic path selection model based on foreground theory is established through the decision process of traveler based on foreground theory, and the algorithm of the dynamic model is put forward, which is verified by an example. Then a numerical example is given to compare the path selection model based on utility theory and prospect theory. It is concluded that foreground theory is more accurate than utility theory in describing travelers' travel decision behavior under uncertain conditions.
【學位授予單位】：蘭州交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U491
本文編號：2370695
[Abstract]:With the improvement of people's living standards, the per capita car ownership has increased year by year, which has also caused many traffic problems, the most serious of which is the traffic congestion problem. However, the traditional traffic system management and traffic demand management have been unable to alleviate. Most domestic scholars agree that the intelligent transportation system (ITS) and the advanced traveler information system (ATIS) are one of the effective ways to solve the traffic congestion problem, and the core of ATIS is the path selection problem. The study of path selection is of great importance to the improvement of ATIS. Scholars at home and abroad have made systematic and in-depth research on the path selection problem in the deterministic environment, and have a series of research results. However, the research on path selection in uncertain environment is still a hot research issue. The theory of expected utility is an effective method to solve the problem of path choice in uncertain environments. However, the theory of utility holds that there is a big gap between the assumption that people are completely rational and the behavior of road choice in reality. The prospect theory assumes that people are bounded rational, and through a large number of empirical studies at home and abroad, the prospect theory can be used to solve the path selection problem in uncertain environment. So this paper studies the path selection problem in uncertain environment by foreground theory. Firstly, the classification of path selection problems in uncertain environment is analyzed, and the theoretical methods of three kinds of path selection models are introduced in detail, and then the current research situation of path selection problems in uncertain environments is analyzed. Then, the background, the frame of thought and the development and application of foreground theory are introduced. Finally, the applicability of foreground theory to path selection is analyzed. Secondly, considering the reliability requirements of travelers to arrive on time and combining with the definition of travel time budget, the travel time budget interval is obtained. On this basis, the arrival time based on travel time budget is regarded as the two reference points of this chapter model. The value function model based on the departure time is established, and then the decision weight function is determined by the individual subjective probability of the traveler, and the starting time and path selection model based on the foreground theory is built. Through the SP survey of commuters, the arrival time distribution of different types of commuters is obtained and verified by an example. Finally, the dynamic path selection model based on foreground theory is established through the decision process of traveler based on foreground theory, and the algorithm of the dynamic model is put forward, which is verified by an example. Then a numerical example is given to compare the path selection model based on utility theory and prospect theory. It is concluded that foreground theory is more accurate than utility theory in describing travelers' travel decision behavior under uncertain conditions.
【學位授予單位】：蘭州交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U491
【參考文獻】
相關期刊論文 前10條
1 田麗君;黃海軍;王昕;;考慮到達時間感知價值的靜態(tài)網(wǎng)絡均衡模型[J];系統(tǒng)工程理論與實踐;2015年06期
2 王旭;吳建軍;;基于累積前景理論的突發(fā)事件下軌道交通乘客路徑選擇研究[J];山東科學;2015年02期
3 呂彪;劉海旭;蒲云;王恪銘;郭茜;;基于累積前景理論的隨機異質(zhì)道路網(wǎng)配流模型[J];西南交通大學學報;2015年01期
4 李小靜;劉林忠;;基于累積前景理論的通勤者路徑選擇模型[J];交通運輸系統(tǒng)工程與信息;2015年01期
5 張薇;;ATIS信息誘導下的路徑選擇行為研究[J];計算機工程與應用;2013年13期
6 夏金嬌;雋志才;高晶鑫;;基于前景理論的出行路徑選擇行為[J];公路交通科技;2012年04期
7 張波;雋志才;林徐勛;;基于累積前景理論的隨機用戶均衡交通分配模型[J];西南交通大學學報;2011年05期
8 徐紅利;周晶;徐薇;;基于累積前景理論的隨機網(wǎng)絡用戶均衡模型[J];管理科學學報;2011年07期
9 楊志勇;顏貴云;;基于前景理論的動態(tài)路徑選擇模型[J];大連交通大學學報;2010年01期
10 黃中祥;王任映;況愛武;;基于預算時間的路徑選擇模型參照點設定方法[J];交通科學與工程;2009年03期
相關博士學位論文 前2條
1 陳京榮;交通網(wǎng)絡路徑選擇及應用研究[D];蘭州交通大學;2009年
2 趙凜;基于“前景理論”的出行決策模型及ATIS仿真實驗研究[D];北京交通大學;2007年
相關碩士學位論文 前5條
1 秦世環(huán);基于前景理論的出行方式與路徑聯(lián)合選擇行為研究[D];哈爾濱工業(yè)大學;2013年
2 張海燕;基于前景理論的路徑選擇模型研究[D];西南交通大學;2011年
3 侯亞麗;擁擠收費背景下基于前景理論的出行路徑選擇模型研究[D];哈爾濱工業(yè)大學;2011年
4 王燕;基于期望效用理論與前景理論的出行決策模型對比研究[D];西南交通大學;2011年
5 王任映;基于前景理論的出行路徑選擇模型[D];長沙理工大學;2009年
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