Дисертації з теми "Route choice models"
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Han, Bijun. "Analyzing car ownership and route choices using discrete choice models." Doctoral thesis, KTH, Infrastructure and Planning, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3215.
Повний текст джерелаThis thesis consists of two parts. The first part analyzesthe accessibility, generation and license holding effects incar ownership models. The second part develops a route choicemodeling framework with an attempt to address the differencesin drivers' route choice behavior. These two parts of work areboth based on the discrete choice theory - the car ownershipmodels are built up on the standard logit model, whereas theroute choice models are formulated in a mixed logit form.
The study result of the first part shows that measuring theaccessibility by the monetary inclusive value reasonably wellcaptures the mechanism of the accessibility impact. Otheraccessibility proxies such as the parking costs, parking typeand house type are correlated with the accessibility but not toa great extent. Both young and old households are less likelyto have a car. The reduction of the propensity to own a car issignificant for households with average birth year before 1920,whereas this reduction is moderate for households with birthyear between 1920 and 1945. It is also demonstrated thatdriving license holding choice is conditional on the carownership level choice, and that these two choices need to bemodeled in a dynamic framework.
The second part of the work investigates the performance ofthe mixed logit model using both simulated data and empiricalroute switching data. The empirical study mainly focused on theimpacts of information and incident related factors on drivers'route switching behavior.
The result shows that using mixed logit gives a significantimprovement in model performance as well as a more sensitiveexplanation of drivers' decision-making behavior. For apopulation with greatly varying tastes, simply using thestandard logit model to analyze its behavior can yield veryunrealistic results. However, care must be taken when settingthe number of random draws for simulating the choiceprobability of the mixed logit model in order to get reliableestimates.
The empirical results demonstrate that incident relatedfactors such as delay and information reliability havesignificant impacts on drivers' route switching, where themagnitude of the response to the change in the delay is shownto vary significantly between individuals. Other factors, suchas confidence in the estimated delay, gender, frequency of cardriving and attitude towards congestion, also make majorcontributions. In addition, it is found that individual's routeswitching behavior may differ depending on the purpose of thetrip and when the choice is made, i.e. pre-trip oren-route.
Keywords: car ownership, accessibility, logit model,route choice, heterogeneity, mixed logit model
Fadaei, Oshyani Masoud. "Estimating route choice models using low frequency GPS data." Thesis, KTH, Transportvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-41546.
Повний текст джерелаSamadzad, Mahdi. "Space disaggregation in models of route and mode choice : method and application to the Paris area." Thesis, Paris Est, 2013. http://www.theses.fr/2013PEST1058/document.
Повний текст джерелаSpatial representation of modeling area in travel demand models has changed little over the course of last several decades. In this regard, the state-of-the-art still widely relies on the same centroid-connector system that has been used in classic models. In this approach continuum bidimensional space is lumped on centroids. It is an aggregate approach which ignores the physical variability linked to the scatteredness of disaggregate residence- and activity-places over the local space. Consequently the modeling performance in explaining route and mode choice behavior degrades at local scales: In route choice, disaggregate location influences the propensity between a distant interchange to a highway, or a nearby road. In mode choice, feeder service to public transportations influences the auto vs. transit modal share. We propose a disaggregate approach for spatial representation. Based on a zoning system, a stochastic disaggregate representation is used to characterize the space within a traffic analysis zone. For each zone, anchor-points are defined as the network nodes that are used for accessing to the network from within the local space. An itinerary between a pair of zones is then considered as a chain of legs composed of two terminal legs, corresponding to the intrazonal route sections, and one main leg between two anchor points. The route choice problem is transformed to a joint choice of a pair of anchor points. The vector of random terminal travel times is Multivariate Normal resulting in a Multinomial Probit model of choice of a pair of anchor points. To extend to the multimodal context, a transit composite mode is defined as a chain of access, main, and egress modal legs, and transit platforms are considered as anchor points connecting the feeder legs to the main line-haul leg. A Multinomial Logit mode choice model is estimated based on the 2001 Paris Household Travel Survey for the auto mode and the composite transit modes. It is joined with the two Multinomial Probit models corresponding to the choice of anchor points. The result is a joint model of mode and station choice with a disaggregate representation of the local space
González, Ramírez Humberto. "Study of the choice behaviour of travellers in a transport network via a “simulation game” Travel time and bounded rationality in travellers’ route choice behaviour : a computer route choice experiment Unravelling travellers’ route choice behaviour at full-scale urban network by focusing on representative OD pairs in computer experiments." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSET008.
Повний текст джерелаThe objective of this thesis is to find route choice models that scale-up at network level, i.e., models that predict the choices of travellers over the diversity of situations found in a transport network. The approach in this thesis to investigate travellers' behaviour in transportation networks is through computer-based experiments at large scale, for which a platform named the Mobility Decision Game (MDG), has been developed. The MDG permits to observe the choices of the participants on a diverse set of scenarios (OD pairs and routes) with varying traffic conditions and travel time information. In this thesis, the experiments focus on the route choices of uni-modal car trips that are based on the map of the city of Lyon, France. To attain the objective of this thesis, firstly a methodology to find OD pairs that are representative of the network is proposed. The representative OD pairs are used in route choice experiments to obtain choice models that generalise to the various OD configurations in the network. Secondly, the choices of participants in the experiments are analysed from the rational and boundedly rational behaviour perspectives, in order to establish the principle that best describe their choices. Finally, the choice models are assessed in terms of their predictive accuracy. This thesis is part of a European ERC project entitled MAGnUM: Multiscale and Multimodal Traffic Modeling Approach for Sustainable Management of Urban Mobility
Bai, Tongzhou. "Consistently estimating route choice models using indirect inference based on emprical observation data." Thesis, KTH, Transportvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-43389.
Повний текст джерелаUnnikrishnan, Avinash. "Equilibrium models accounting for uncertainty and information provision in transportation networks." [Austin, Tex. : University of Texas Libraries, 2008. http://www.lib.utexas.edu/etd/d/2008/unnikrishnana67041/unnikrishnana67041.pdf#page=3.
Повний текст джерелаVargas, Júlio Celso Borello. "Forma urbana e rotas de pedestres." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/127812.
Повний текст джерелаSince motorized transport problems have proved to be critical and contrary to the concept of urban sustainability, the idea of increasing the active travel modes through changes in urban form is a key subject of today´s mobility agenda. Traffic congestion, air pollution and severe monetary and social costs are associated with the current patterns of urbanization and mobility, especially in developing countries, where an explosive motorized fleet growth occurs simultaneously to an acceleration of urbanization and sprawl processes. Most recently evidences of a causal relationship between massive use of private vehicles and chronic health disorders have led to an increase in research about walking as an effective and clean mode of transportation. Also, the interest about the quality of life experience in the city came to add up to this body of knowledge, bringing in ideas of livability to walkability studies. Beyond the aggregate demand studies that aim to increase the walking mode share, there is now a growing interest on more localized aspects of the walking phenomenon - the routes - trying to understand the ways in which people travel on foot when connecting origins and destinations. This work proposes a method based on assessing data from actually taken walking trips using GPS devices and on modeling pedestrian´s choice behavior using discrete choice models. A study in the city of Porto Alegre, south of Brazil, followed 82 individuals for three consecutive days and, through the representation of several layers of urban data in a GIS environment, associated their trajectories with the main urban form attributes to allow the modeling experiment. The results show that the built environment features play an important role as a decision attribute, producing perceived utility/disutility on the decision-makers´ minds. They indicated that, in addition to the basic travel effort attributes such as trip distance or street slope, other factors such as the straightness of the trip, the road hierarchy, the presence of busy intersections, landmark buildings, noticeable public spaces and the density of buildings along the walking stretches indeed influence the route choice. The relatively small sample size and the spatial clustering of trips around the city´s central area doesn´t allow to the generalization of results. However, the study can be taken as a valid exploratory analysis, since it builds up a methodology that can be expanded and applied in other urban contexts. Furthermore, the results reveal some particular local features that indicate the existence of significant behavioral differences from the developed cities where previous similar studies were performed. These qualities make the proposed framework a promising decision support tool for sustainable urban mobility projects in Brazil.
Watling, David Paul, Thomas Kjær Rasmussen, Carlo Giacomo Prato, and Otto Anker Nielsen. "Stochastic user equilibrium with a bounded choice model." Elsevier, 2018. https://publish.fid-move.qucosa.de/id/qucosa%3A73239.
Повний текст джерелаBroach, Joseph. "Travel Mode Choice Framework Incorporating Realistic Bike and Walk Routes." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/2702.
Повний текст джерелаGao, Yuhan. "Estimation of Tourist Travel Patterns with Recursive Logit Models based on Wi-Fi Data with Kyoto City Case Study." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263639.
Повний текст джерела新制・課程博士
博士(工学)
甲第23178号
工博第4822号
京都大学大学院工学研究科都市社会工学専攻
(主査)教授 山田 忠史, 教授 藤井 聡, 准教授 SCHMOECKER Jan-Dirk
学位規則第4条第1項該当
Doctor of Philosophy (Engineering)
Kyoto University
DFAM
Bennett, Ashlea R. "Home health care logistics planning." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33989.
Повний текст джерелаShatu, Farjana M. "Built environment impact on pedestrian route choice behaviour: Shortest vs. least directional change routes." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/126392/1/Farjana_Shatu_Thesis.pdf.
Повний текст джерелаBasu, Nandita. "Pedestrian route choice behaviour: Influences of built environment on route preference, safety and security." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/236797/1/Thesis_Nandita%2BBasu_24112022.pdf.
Повний текст джерелаWerberich, Bruno Rocha. "Pedestrian simulation : a route choice model to assess urban environments." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/163417.
Повний текст джерелаSt-Onge, Charles Patrick. "CHOICE, a model for evaluating route, mode, and departure time decisions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0010/MQ31252.pdf.
Повний текст джерелаVrtic, Milenko. "Simultanes Routen- und Verkehrsmittelwahlmodell." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2004. http://nbn-resolving.de/urn:nbn:de:swb:14-1085480924187-53794.
Повний текст джерелаKitthamkersorn, Songyot. "Modeling Overlapping and Heterogeneous Perception Variance in Stochastic User Equilibrium Problem with Weibit Route Choice Model." DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1970.
Повний текст джерелаVrtic, Milenko. "Simultanes Routen- und Verkehrsmittelwahlmodell." Doctoral thesis, [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=971486174.
Повний текст джерелаFadaei, Oshyani Masoud. "Two papers on consistent estimation of a route choice model and link speed using sparse GPS data." Licentiate thesis, KTH, Transport- och lokaliseringsanalys, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122285.
Повний текст джерелаQC 20130521
Cats, Oded. "Dynamic Modelling of Transit Operations and Passenger Decisions." Doctoral thesis, KTH, Trafik och logistik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-49962.
Повний текст джерелаQC 20111201
Danielsson, Anna, and Gabriella Gustafsson. "Link flow destination distribution estimation based on observed travel times for traffic prediction during incidents." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170080.
Повний текст джерелаMa, Wenbo. "Agent-based model of passenger flows in airport terminals." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/63457/1/Wenbo_Ma_Thesis.pdf.
Повний текст джерелаDugge, Birgit. "Ein simultanes Erzeugungs-, Verteilungs-, Aufteilungs- und Routenwahlmodell." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2006. http://nbn-resolving.de/urn:nbn:de:swb:14-1162994071370-87705.
Повний текст джерелаIn this thesis a simultaneous Trip Generation-, Distribution-, Modal-Split and Route Choice Model (modell EVA-U) is elaborated. The model tends to reach a stochastic user equilibrium. The route choice algorithms are not longer part of an assignment procedure but part of the demand model. A consistent assessment of properties of all transport systems is possible. The simultaneous model EVA-U is an advancement of the EVA-Model by Lohse. The model EVA-U is to be assigned to the generalised logit-models. All matrix constrains are taken into account. The assessment is effected by generalised costs. The dependence of routes is taken into account. Moreover, the integration of day time and the schedules of private transport lines is possible. Furthermore, it is possible to integrate a model of parked cars and circuits of inter-modal traffic forms (park and ride) in the Model EVA-U
Dugge, Birgit. "Ein simultanes Erzeugungs-, Verteilungs-, Aufteilungs- und Routenwahlmodell." Doctoral thesis, Technische Universität Dresden, 2005. https://tud.qucosa.de/id/qucosa%3A24840.
Повний текст джерелаIn this thesis a simultaneous Trip Generation-, Distribution-, Modal-Split and Route Choice Model (modell EVA-U) is elaborated. The model tends to reach a stochastic user equilibrium. The route choice algorithms are not longer part of an assignment procedure but part of the demand model. A consistent assessment of properties of all transport systems is possible. The simultaneous model EVA-U is an advancement of the EVA-Model by Lohse. The model EVA-U is to be assigned to the generalised logit-models. All matrix constrains are taken into account. The assessment is effected by generalised costs. The dependence of routes is taken into account. Moreover, the integration of day time and the schedules of private transport lines is possible. Furthermore, it is possible to integrate a model of parked cars and circuits of inter-modal traffic forms (park and ride) in the Model EVA-U.
Buonocore, Chiara. "Development of a model to choose the path of cyclists using GPS data collected via smartphone." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17199/.
Повний текст джерелаLiu, Yulin. "Urban transit quality of service : user perception and behaviour." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/61517/1/Yulin_Liu_Thesis.pdf.
Повний текст джерелаAl-Ogaili, Farah F. "Incorporating Environmental Factors into Trip Planning." Ohio University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1508196014262712.
Повний текст джерелаLiu, I. Chun, and 劉亦群. "Adaptive route-choice and passenger assignment models for overlapping transit routes." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/22351399633092908360.
Повний текст джерелаSo, Siu-Ian. "Behavioral models of multi-destination travelers." 2005. http://docs.lib.purdue.edu/dissertations/AAI3185836/.
Повний текст джерелаRazo, Michael D. "Route Choice Behavior in Risky Networks with Real-Time Information." 2010. https://scholarworks.umass.edu/theses/399.
Повний текст джерелаJiin-Long, Leu, and 呂錦隆. "A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/16354555441000409985.
Повний текст джерела國立成功大學
交通管理(科學)學系
82
The purpose of this study is to observe the important variables that will affect the route choice and route diversion propensity behavior of radio-taxi and car drivers in Tainan Area.We collected the revealed preference data of route choice behavior and stated preference data of route diversion propensity and used them to construct proper models. This study used logit model, poisson regression model and ordered probit model to construct route choice and diversion models according to different trip purpose, different market segmentation and different data.We found the following results: 1.Due to limited traffic information in Tainan Area, the effect of traffic information is not clear. 2.Of all route choice models,the models estimated by logit model were best.Of all route diversion propensity models ,the models estimated by ordered probit model were better. 3.Generally speaking,travel time is a very important varable in deciding car drivers'' route choice and diversion behavior. The influence of social economic variables were not significant. 4.The effect of different trip purpose on car drivers'' route choice behavior were not significant, but the effect of market segmentation were significant.
Hung, Yu-Fang, and 洪玉芳. "Discrete Choice Models Considering Endogenous Explanatory Variables:A case study of highway passenger transport in Kaohsiung-Taipei route." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/16628391848570272032.
Повний текст джерела國立成功大學
交通管理學系碩博士班
91
Discrete choice model have been widely applied in consumer choice behavior researches. In earlier researches, they treated price as an exogenous variable while it should be treated as endogenous, because price is correlated with the error term in the utilities. This correlation will violate the basic assumptions of model, resulting in biased coefficient of price, producing misleading results, and seriously affecting the outcome of marketing decisions. The correlation results from that the market mechanism will increase the prices of products to reflect desirable attributes that are observed by consumers but not measured by researchers. This research aims to account for endogeneity in discrete choice model. In this thesis, we use cross-sectional data from six companies serving the Kaohsiung-Taipei route to examine if “price” or “price perception” suffered from the endogeneity problem and to what extents. By applying control function approach, we correct the biased estimate of price, and be able to interpret travelers’ choice behavior more correctly. Besides, we also construct discrete choice model considering endogeneity and individual heterogeneity simultaneously. The aim is to find out the preferences of travelers toward different companies. The empirical results are as follow: In the aspect of price endogeneity, we find (1) Since other service variables have reflected most modal attributes, there are few omitted modal attributes. Hence the endogeneity of “price” data we use is not important. (2) Since “price perception” represent individual’s preferences, it is therefore correlated with the unobserved preferences part in error term. The coefficient of “price perception” increases substantially when accounting for endogeneity. (3) The more serious the endogeneity, the more biased the coefficients are. In the aspect of heterogeneity, we find (1) Travelers’ evaluations toward highway passenger transport companies are heterogeneous, and some of them are similar. (2) Endogeneity does affect the structures of models considering heterogeneity. (3) Models which account for endogeneity are better than those that don’t. (4) When using “price perception” data, accounting for heterogeneity may lighten the endogeneity problem.
Zimmermann, Maëlle. "Route choice and traffic equilibrium modeling in multi-modal and activity-based networks." Thèse, 2019. http://hdl.handle.net/1866/22664.
Повний текст джерелаLownes, Nicholas Earl. "The commuter rail circulator network design problem: formulation, solution methods, and applications." Thesis, 2007. http://hdl.handle.net/2152/3352.
Повний текст джерелаUnnikrishnan, Avinash 1980. "Equilibrium models accounting for uncertainty and information provision in transportation networks." 2008. http://hdl.handle.net/2152/17916.
Повний текст джерелаtext
Mai, Anh Tien. "Dynamic Programming Approaches for Estimating and Applying Large-scale Discrete Choice Models." Thèse, 2015. http://hdl.handle.net/1866/15871.
Повний текст джерелаLes gens consacrent une importante part de leur existence à prendre diverses décisions, pouvant affecter leur demande en transport, par exemple les choix de lieux d'habitation et de travail, les modes de transport, les heures de départ, le nombre et type de voitures dans le ménage, les itinéraires ... Les choix liés au transport sont généralement fonction du temps et caractérisés par un grand nombre de solutions alternatives qui peuvent être spatialement corrélées. Cette thèse traite de modèles pouvant être utilisés pour analyser et prédire les choix discrets dans les applications liées aux réseaux de grandes tailles. Les modèles et méthodes proposées sont particulièrement pertinents pour les applications en transport, sans toutefois s'y limiter. Nous modélisons les décisions comme des séquences de choix, dans le cadre des choix discrets dynamiques, aussi connus comme processus de décision de Markov paramétriques. Ces modèles sont réputés difficiles à estimer et à appliquer en prédiction, puisque le calcul des probabilités de choix requiert la résolution de problèmes de programmation dynamique. Nous montrons dans cette thèse qu'il est possible d'exploiter la structure du réseau et la flexibilité de la programmation dynamique afin de rendre l'approche de modélisation dynamique en choix discrets non seulement utile pour représenter les choix dépendant du temps, mais également pour modéliser plus facilement des choix statiques au sein d'ensembles de choix de très grande taille. La thèse se compose de sept articles, présentant divers modèles et méthodes d'estimation, leur application ainsi que des expériences numériques sur des modèles de choix discrets de grande taille. Nous regroupons les contributions en trois principales thématiques: modélisation du choix de route, estimation de modèles en valeur extrême multivariée (MEV) de grande taille et algorithmes d'optimisation non-linéaire. Cinq articles sont associés à la modélisation de choix de route. Nous proposons différents modèles de choix discrets dynamiques permettant aux utilités des chemins d'être corrélées, sur base de formulations MEV et logit mixte. Les modèles résultants devenant coûteux à estimer, nous présentons de nouvelles approches permettant de diminuer les efforts de calcul. Nous proposons par exemple une méthode de décomposition qui non seulement ouvre la possibilité d'estimer efficacement des modèles logit mixte, mais également d'accélérer l'estimation de modèles simples comme les modèles logit multinomiaux, ce qui a également des implications en simulation de trafic. De plus, nous comparons les règles de décision basées sur le principe de maximisation d'utilité de celles sur la minimisation du regret pour ce type de modèles. Nous proposons finalement un test statistique sur les erreurs de spécification pour les modèles de choix de route basés sur le logit multinomial. Le second thème porte sur l'estimation de modèles de choix discrets statiques avec de grands ensembles de choix. Nous établissons que certains types de modèles MEV peuvent être reformulés comme des modèles de choix discrets dynamiques, construits sur des réseaux de structure de corrélation. Ces modèles peuvent alors être estimées rapidement en utilisant des techniques de programmation dynamique en combinaison avec un algorithme efficace d'optimisation non-linéaire. La troisième et dernière thématique concerne les algorithmes d'optimisation non-linéaires dans le cadre de l'estimation de modèles complexes de choix discrets par maximum de vraisemblance. Nous examinons et adaptons des méthodes quasi-Newton structurées qui peuvent être facilement intégrées dans des algorithmes d'optimisation usuels (recherche linéaire et région de confiance) afin d'accélérer le processus d'estimation. Les modèles de choix discrets dynamiques et les méthodes d'optimisation proposés peuvent être employés dans diverses applications de choix discrets. Dans le domaine des sciences de données, des modèles qui peuvent traiter de grands ensembles de choix et des ensembles de choix séquentiels sont importants. Nos recherches peuvent dès lors être d'intérêt dans diverses applications d'analyse de la demande (analyse prédictive) ou peuvent être intégrées à des modèles d'optimisation (analyse prescriptive). De plus, nos études mettent en évidence le potentiel des techniques de programmation dynamique dans ce contexte, y compris pour des modèles statiques, ouvrant la voie à de multiples directions de recherche future.
"Data organization for routing on the multi-modal public transportation system: a GIS-T prototype of Hong Kong Island." 2001. http://library.cuhk.edu.hk/record=b5890808.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 2001.
Includes bibliographical references (leaves 130-138).
Abstracts in English and Chinese.
ABSTRACT IN ENGLISH --- p.i-ii
ABSTRACT IN CHINESE --- p.iii
ACKNOWLEDGEMENTS --- p.iv-v
TABLE OF CONTENTS --- p.vi-viii
LIST OF TABLES --- p.ix
LIST OF FIGURES --- p.x-xi
Chapter CHAPTER I --- INTRODUCTION
Chapter 1.1 --- Problem Statement --- p.1
Chapter 1.2 --- Research Purpose --- p.5
Chapter 1.3 --- Significance --- p.7
Chapter 1.4 --- Methodology --- p.8
Chapter 1.5 --- Outline of the Thesis --- p.9
Chapter CHAPTER II --- LITERATURE REVIEW
Chapter 2.1 --- Introduction --- p.12
Chapter 2.2 --- Origin of GIS --- p.12
Chapter 2.3 --- Development of GIS-T --- p.15
Chapter 2.4 --- Capabilities of GIS-T --- p.18
Chapter 2.5 --- Structure of a GIS-T --- p.19
Chapter 2.5.1 --- Data Models for GIS-T --- p.19
Chapter 2.5.2 --- Relational DBMS and Dueker-Butler's Data Model for Transportation --- p.22
Chapter 2.5.3 --- Objected-oriented Approach --- p.25
Chapter 2.6 --- Main Techniques of GIS-T --- p.26
Chapter 2.6.1 --- Linear Location Reference System --- p.26
Chapter 2.6.2 --- Dynamic Segmentation --- p.27
Chapter 2.6.3 --- Planar and Non-planar Networks --- p.28
Chapter 2.6.4 --- Turn-table --- p.28
Chapter 2.7 --- Algorithms for Finding Shortest Paths on a Network --- p.29
Chapter 2.7.1 --- Overview of Routing Algorithms --- p.29
Chapter 2.7.2 --- Dijkstra's Algorithm --- p.31
Chapter 2.7.3 --- Routing Models for the Multi-modal Network --- p.32
Chapter 2.8 --- Recent Researches on GIS Data Models for the Multi-modal Transportation System --- p.33
Chapter 2.9 --- Main Software Packages for GIS-T --- p.36
Chapter 2.10 --- Summary --- p.37
Chapter CHAPTER III --- MODELING THE MULTI-MODAL PUBLIC TRANSPORTATION SYSTEM
Chapter 3.1 --- Introduction --- p.40
Chapter 3.2 --- Elaborated Stages and Methods for GIS Modeling --- p.40
Chapter 3.3 --- Application Domain: The Multi-modal Public Transportation System --- p.43
Chapter 3.3.1 --- Definition of a Multi-modal Public Transportation System --- p.43
Chapter 3.3.2 --- Descriptions of the Multi-modal Public transportation System --- p.44
Chapter 3.3.3 --- Objective of the Modeling Work --- p.46
Chapter 3.4 --- A Layer-cake Based Application Domain Model for the Multi- modal Public Transportation System --- p.46
Chapter 3.5 --- A Conceptual Model for the Multi-modal Public Transportation System --- p.49
Chapter 3.6 --- Logical and Physical Implementation of the Data Model for the Multi-modal Public Transportation System --- p.54
Chapter 3.7 --- Criteria for Routing on the Multi-modal Public Transportation System --- p.57
Chapter 3.7.1 --- Least-time Routing --- p.58
Chapter 3.7.2 --- Least-fare Routing --- p.60
Chapter 3.7.3 --- Least-transfer Routing --- p.60
Chapter 3.8 --- Summary --- p.61
Chapter CHAPTER IV --- DATA PREPARATION FOR THE STUDY AREA
Chapter 4.1 --- Introduction --- p.53
Chapter 4.2 --- The Study Area: Hong Kong Island --- p.63
Chapter 4.2.1 --- General Information of the Transportation System on Hong Kong Island --- p.63
Chapter 4.2.2 --- Reasons for Choosing Hong Kong Island as the Study Area --- p.66
Chapter 4.2.3 --- Mass Transit Routes Selected for the Prototype --- p.67
Chapter 4.3 --- Data Source and Data Collection --- p.67
Chapter 4.4 --- Geographical Data Preparation --- p.71
Chapter 4.4.1 --- Data Conversion --- p.73
Chapter 4.4.2 --- Geographical Data Input --- p.79
Chapter 4.5 --- Attribute Data Input --- p.86
Chapter 4.6 --- Summary --- p.88
Chapter CHAPTER V --- IMPLEMENTATION OF THE PROTOTYPE
Chapter 5.1 --- Introduction --- p.89
Chapter 5.2 --- Construction of the Route Service Network --- p.89
Chapter 5.2.1 --- Generation of the Geographical Network --- p.90
Chapter 5.2.2 --- Setting Attribute Data for the Route Service Network --- p.95
Chapter 5.3 --- A GIS-T Prototype for the Study Area --- p.102
Chapter 5.4 --- General GIS Functions of the Prototype --- p.104
Chapter 5.4.1 --- Information Retrieve --- p.104
Chapter 5.4.2 --- Display --- p.105
Chapter 5.4.3 --- Data Query --- p.105
Chapter 5.5 --- Routing in the Prototype --- p.105
Chapter 5.5.1 --- Routing Procedure --- p.108
Chapter 5.5.2 --- Examples and Results --- p.110
Chapter 5.5.3 --- Comparison and Analysis --- p.113
Chapter 5.6 --- Summary --- p.118
Chapter CHAPTER VI --- CONCLUSION
Chapter 6.1 --- Research Findings --- p.123
Chapter 6.2 --- Research Limitations --- p.126
Chapter 6.3 --- Direction of Further Studies --- p.128
BIBLIOGRAPHY --- p.130
Tian, Hengliang. "Travelers' route choice behavior in risky networks." 2013. https://scholarworks.umass.edu/dissertations/AAI3603163.
Повний текст джерелаChaudhary, Ankita. "Impact of range anxiety on driver route choices using a panel-integrated choice latent variable model." Thesis, 2014. http://hdl.handle.net/2152/28254.
Повний текст джерелаtext
Morin, Léonard Ryo. "A dynamic sequential route choice model for micro-simulation." Thèse, 2012. http://hdl.handle.net/1866/9829.
Повний текст джерелаIn transportation modeling, a route choice is a model describing the selection of a route between a given origin and a given destination. More specifically, it consists of determining the sequence of arcs leading to the destination in a network composed of vertices and arcs, according to some selection criteria. We propose a novel route choice model, based on approximate dynamic programming. The technique is applied sequentially, as every time a user reaches an intersection, he/she is supposed to consider the utility of a certain number of future arcs, followed by an approximation for the rest of the path leading up to the destination. The route choice model is implemented as a component of a traffic simulation model, in a discrete event framework. We conduct a numerical experiment on a real traffic network model in order to analyze its performance.
Tu, Ming-Lin, and 杜明臨. "A Study on Stochastic Dynamic Route Choice Model." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/69465642675399515924.
Повний текст джерелаXiao, Yi-Chun, and 蕭伊君. "A Study on Multi-objective Shortest Route Choice Optimization Model." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/84536072060480929041.
Повний текст джерела逢甲大學
都市計畫所
99
With the development of car navigation systems, more drivers experienced to its convenience. The current commercial car navigation system is based on providing the shortest distance possible. However, there are other factors that concern the driver when it comes to selection of path. The choices can generally be divided into macro and micro view factors. As for macro, cost, safety, comfort and so on is taken into consideration; and as for micro, such as distance, number of intersection and etc is considered. Since the macroscopically measurable factors have a high degree of difficulty, it is not conducive to apply to car navigation systems. Therefore, this study will also consider the spatial distance, the number of traffic lights to intersections, the level of road and the number of turns, to achieve the shortest spatial distance, the least number of intersection be through, the least number of turns and the maximum level of road, in order to build the multi-objective decision model to select the best path. Many studies have pointed out that the shortest path (SP) problem is NP-complete. It is hard to find the best-compromise solution for the SP problem without spending much effort. It is also impossible to identify the problem by utilizing mathematical programming approach in a finite time. A heuristic or macro algorithm is usually applied to solve the SP problem. The genetic and Dijkstra algorithm is used in this study to solve the problems. At the first, convert the multi-objective problem into a single objective problem and then apply the Dijkstra method to identify the best-compromise solution. On the other hand, utilize the genetic algorithm to search for the best-compromise solution by converting into genes and chromosomes and the design of suitable copy, crossover and mutation functions principles. Use genetic algorithm for random searches and able to do a database search in the solution space in order to solve the multi-target path established to select the best of the problem. Compare the two algorithms and the model constructed in this study for solving approach and results analysis provide randomly and broadly searching capabilities for solving multi-objective path selection optimization problem. Empirical studies will select two types of road network structure to carry out. The empirical results show that study proposed a multi-objective optimization model to solve the path is feasible through the Dijkstra algorithm and genetic algorithm. And, proposed a multi-objective path optimization model to make a more precise simulation of the decision-making behavior of drivers’ path selection. The experimental results demonstrate the advantage of the multi-objective path optimization model provides automobile drivers more diverse and richer information than the conventional SDP. With the aids of the GIS and MOPOAT, the optimal paths of the MOPO and SOPO problems can be easily identified by the PGA in just a matter of seconds, despite the fact that these problems are highly complex and difficult to solve manually.
Usyukov, Vladimir. "Development of a Cyclists' Route-Choice Model: An Ontario Case Study." Thesis, 2013. http://hdl.handle.net/10012/8088.
Повний текст джерелаLiao, YuanLing, and 廖苑伶. "A Study of Dynamic Route Choice Behavior with Fuzzy Utility Model." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/54647153372096210827.
Повний текст джерела淡江大學
運輸管理學系
88
The focus of this thesis is on the auto-driving commuters’ day-to-day dynamic departure time and route choice behavior. Such behavior is by its own nature a complex issue, involving each individual''''s perception of the decision attributes and impact of time. Probabilistic model such as random utility theory has been widely applied to address the uncertainty of travel''''s decision behavior. On the other hand, Fuzzy set theory can handle the phenomenon of ambiguous events rather than random nature, which may well be suitable for addressing human decision behavior such as travel decisions. Previous studies under the direction of Dr. Chee Chung Tong at Tamkang University such as Chao''''s thesis( 1998 ), Chang''''s thesis( 1998 ) and the most recent Wu''''s(1999 ) have demonstrated promising results. With Chao''''s pioneering work to explore the feasibility and to establish the general framework of fuzzy inference models, Chang extended this framework to include extra travel time prediction and membership function shift components for the issues of day-to-day dynamics. Wu then adopted another approach to tackle the dynamic issue by taking the advantage of dynamic feedback feature of Neuro-network into the original framework to form a Neuro-Fuzzy network model. What in common in the above three studies is that each of the various decision attributes was treated separately (in-tandem) in an approximate reasoning phase and later combined in the internal presentation phase and generate decision outcome in the final defuzzification phase. In this thesis, a Fuzzy Utility Model was proposed. The major difference lies in the alternative treatment of decision attributes and the consequent process while using similar FNN model framework of Wu. It is performed firstly by integrating individual attributes into a single index which can be viewed as a (weighted) combined attractiveness of a certain travel decision as defined as "Score" or "Utility" in decision theory or probabilistic behavior models followed by similar process in fuzzy reasoning with Neuro-network. Three different approaches were employed to calibrate the weight of associated attributes respectively. One is from the Multi-attribute Utility Function theory, another from multi-criteria decision context, and the other from the famous random utility behavior models. Observations of this study came from the same controlled experiment approach of previous serial studies where the experiment subject’ departure time and route choices were recorded along with their individual statement regarding their own perception to the decision related attributes. Through a series of consecutive verification process the Fuzzy Utility decision model formulated in this study has generally demonstrated improvement over previous models in terms of percentage of correct matches.
Cheng, Hung-Ming, and 鄭鴻明. "A Study on the Route Choice Behavior Model of Car Drivers." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/06441104403640511260.
Повний текст джерела國立交通大學
交通運輸研究所
85
The purpose of this study is to observe the important variables that will effect the route choice behavior of car drivers in Taipei Urban Area. We collected the related data of route choice behavior and then classify them by trip origin and destination, to construct proper route choice behavior models of car drivers in Urban Area Taipei. In this study we used two-step survey. First we collected the important variables that will effect the route choice behavior of car drivers in Taipei Urban Area. Then we used previously results to design next survey. In this survey, we collected the revealed preference data and stated preference data. The revealed preference data includes real route and substitute route; The stated preference data means the route which car drivers select when face an especially transportation situation. We also collected some personal basic data of answers just as age, sex, income and so on; some data of using car situation and trip characters. This study used Logit model to construct route-choice behavior models according to different route choice set and personal basic data and trip characters data. Finally, we construct a positive study. It used the ID3 algorithm that is one kind of knowledge acquisition of expert analysis system to construct a really case study in Taipei Urban Area. According to this study, we can find the following results: 1. After cross analysis and testing of statistical hypothesis the personal basic data and trip characters data totally 17 items, we find that ''occupation'' is most related with other items, and that ''fully insurance'' and ''sex'' are least related with other items. 2. Generally speaking, running speed and really running distance are most important variables in deciding car drivers'' route choice behavior, then are traffic information provided and left-turn numbers. In the personal basic data, sex, age, traffic expense and income are more important variables. In the trip characters data, trip time, car age, fully insurance, displacement (c.c.), owner of car, and changes route situations are more important variables. The Rho-squre value (ρ2) appears good in every model,they show that these models are proper in Taipei Urban Area. 3. In the positive case study, if we control the attributes to 3 or 4, the forecast successful rates of inductive decision tree are more than 50%, they show that ID3 algorithm is a utility method in forecasting route-choice behavior of car drivers.
Morin, Léonard Ryo. "Traffic prediction and bilevel network design." Thesis, 2020. http://hdl.handle.net/1866/24801.
Повний текст джерелаThe subject of this thesis is the modeling of traffic in road networks and its integration in optimization models. In the literature, these two topics have to a large extent evolved independently: traffic is predicted more accurately by increasingly complex mathematical models, but this progress has not been incorporated in network design models where road users play a crucial role. The goal of this work is to integrate random utility models calibrated with real data into bilevel optimization models through an efficient Benders decomposition. This particular decomposition generalizes to a wide class of problems commonly found in the literature and can be used to solved large-scale instances. The first article presents a general methodology to use GPS data gathered from a fleet of vehicles to estimate the parameters of a recursive logit demand model. The GPS traces are first matched to the arcs of a network through an algorithm taking into account various factors. The paths resulting from these sequences of arcs, along with their characteristics, are used to estimate parameters of a choice model. The parameters represent users' perception of each of these characteristics in regards to their path choice behaviour. The data used in this article comes from trucks used by a number of transportation companies operating mainly in the Montreal region. The second article addresses the integration of a random utility maximization model in a new bilevel formulation for the general flow capture problem. The proposed model allows for a representation of different user behaviors in regards to their path choice by defining appropriate arc utilities. These arc utilities are stochastic which further contributes in capturing real user behavior. This bilevel model is linearized through the inclusion of a Lagrangian term based on strong duality which paves the way for a particularly efficient Benders decomposition. The numerical experiments are mostly conducted on a network representing the city of Winnipeg which demonstrates the ability to solve problems of a relatively large size. The third article illustrates how the approach used in the second article can be generalized to a particular form of bilevel models which encompasses many different problems. The decomposition is first presented in a general setting and subsequently in a context where the lower level of the bilevel model is a shortest path problem. In order to demonstrate that this form is general, two distinct applications are adapted to fit the required form: hazmat transportation network design and general flow capture. A third application, joint network design and pricing, is also similarly explored in Appendix B of this thesis.
Fan, Hui-Chi, and 范惠琪. "Traveler's Route Choice Behavioral Model Considering Perceptions of Highway Level of Service." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/90787735370751520100.
Повний текст джерела國立暨南國際大學
土木工程學系
95
The highway’s level of service is an important index for assessing the efficiency of the highway. Conventional assessment of the highway’s level of service was based on traffic flow conditions (such as density and average speed) without considering the effects of users’ perception. This study addresses on investigating the highway’s level of service by incorporating users’ perception on highway environment. Two questionnaires were designed to collect the drivers’ preferences on different scenarios. The ordered probit model was used to model the perception of drivers on highway’s level of service. The mixed logit model was further used to investigate drivers’ route choice behavior while simultaneously considering drivers’ perception of highway’s level of service. The estimation results indicate that several factors significantly affect users’ perception of highway’s level of service and route choice behavior, which include gender, trip purpose, average speed, quality of pavement, number of traffic signals and truck percentage of highway. Moreover, sensitivity analysis shows that raising the toll fee will switch a large portion of drivers to toll-free highways. The result of this study can provide guidelines for transportation planners and drivers in decision making, and further mitigate traffic congestions.
Chen, Hui-Yu, and 陳薈予. "A Route-Carrier Choice Model: The Impacts of Airline Mergers on Passengers’ Welfare." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/r5gt6t.
Повний текст джерела國立交通大學
運輸與物流管理學系
107
The fierce competition in the market has caused many airlines to go bankrupt or to merge with others, and the market structure has thus been changing, too. In view of the fact that the wave of mergers will continue to affect society and industry, a clearer understanding of its impact is an important research topic. From the literature review, it is known that airline mergers will affect the network structure, the state of competition, fares, service quality, and thus passenger welfare. However, most of the literature only partially analyzes the factors listed above, and the empirical study on the actual merger is very limited. Therefore, this study considers relevant factors more completely, establishes the travel demand model that provides sufficient details, and analyzes passenger welfare changes caused by the mergers rationally. This study first uses the aggregate data to construct a route-carrier choice model for metropolitan cities to analyze the market. The metropolitan area may contain multiple airports. Each route-carrier is a discrete choice, and passengers are free to choose between airports and flight types (connecting or direct). Also, not selecting any route-carrier (not generating any air trip) is permitted, so that the total demand can remain elastic. In addition, treatment groups and control groups are first defined, and difference-in-differences method is then used to measure the passenger welfare changes (including the analysis of various factors and the differences between traditional and low-cost airline merger). The results show that the substitutability from high to low are: routes within a carrier > OD airport > non-air alternatives. As for price endogeneity, route distance *oil price and route distance are effective instrument variables. In terms of welfare analysis, as a whole, airline mergers resulted in welfare increase (AA-US merger > US-HP merger > WN-FL merger). And if the markets are further divided into different categories, it can be found that the mergers caused welfare increase in most of the categories, while they also caused welfare decrease in the rest of the categories. To sum up, the study establishes a choice model that quantifies the impact of mergers on passenger welfare. This model keeps the demand elastic and incorporates route-carrier level variables; the nested structure is designed to take the substitutability and competitive of choices into account (e.g. travelers may choose different OD airports and routes in multiple airports metropolitan areas). In addition, time value and price elasticity become more reasonable after using IVs to deal with endogeneity. The preliminary welfare analysis showed that the impact of the mergers on welfare is positive (as a whole), but differ among markets (city-pair) and airline types (FSC and LCC). Propensity score matching may be used to do further analysis.
Hsiao-Chi, Peng, and 彭曉琪. "Dynamic User Equilibrium Doubly Constrained Origin-Destination /Departure Time/ Route Choice Bi-level Programming Model." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/27838548984279748782.
Повний текст джерела國立中央大學
土木工程研究所
89
Abstract This thesis, as follow-up study of Ying-Chun CHEN(1999), Tsung-Yi LEE(2000), attempts to further some important issues based on the dynamic user-equilibrium doubly constrained origin-destination /departure time/route choice model formulated using variational inequality approach and the solution algorithm of my model is using streamlined diagonalization lagrangian(GP) method to solves super network problem. As a result of road has link capacity constraint in the actual network, in order to my model conform to practicality condition, attempt to incorporate inflow link capacity constrained into it, and formulated the dynamic capacitated user-equilibrium doubly constrained origin-destination/departure time/route choice model. And numerical examples are provided for test and analysis. That uses bi-level programming method to formulate the dynamic signal timings control (DSTC) model. The upper level is dynamic signal timings optimal model, it tries to minimum the total travel cost by allocating the green times and determining link capacities, and the lower level is dynamic user-equilibrium doubly constrained origin-destination /departure time/route choice model, based on the fixed link capacities , searches the shortest travel time time-route for use. In accordance with variational inequality sensitivity analysis theory attain sensitivity analysis information by generalized inverse approach and developing solution algorithm. Finally, making several numerical examples to verify this research is correctly.
Chang, Chai-Wei, and 張佳偉. "Computational Efficiency of Path-based Algorithm in Solving the Dynamic User-optimal Route Choice Model." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/39471853624537800763.
Повний текст джерела國立中央大學
土木工程學系
85
In the last three decades, the link-based algorithm of Frank- and-Wolfe has seen widely used in traffic assignment due to the advantage of using less computer memory. However, this advantage becomes less and less important as the computer technology advances on. In the meantime, the path-based solution algorithms have attracted much of researchers'' interest due to their potential applications in the area of disaster evacuation and/or route guidance for travelers. In this thesis, two path-based solution algorithms, i.e., disaggregated simplicial decomposition method of Hohenbalken and gradient projection method, are revisited and demonstrated with dynamic user-optimal route choice problems. It is observed that the path-based algorithms generally perform much better than the link-based algorithm in terms of computational time and degree of precision but slight inferior in memory requirement.