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Статті в журналах з теми "Route choice models"
Daamen, Winnie, Piet H. L. Bovy, and Serge P. Hoogendoorn. "Influence of Changes in Level on Passenger Route Choice in Railway Stations." Transportation Research Record: Journal of the Transportation Research Board 1930, no. 1 (January 2005): 12–20. http://dx.doi.org/10.1177/0361198105193000102.
Повний текст джерелаPandey, Venktesh, and Stephen D. Boyles. "Comparing Route Choice Models for Managed Lane Networks with Multiple Entrances and Exits." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 10 (May 20, 2019): 381–93. http://dx.doi.org/10.1177/0361198119848706.
Повний текст джерелаAlivand, Majid, Hartwig Hochmair, and Sivaramakrishnan Srinivasan. "Analyzing how travelers choose scenic routes using route choice models." Computers, Environment and Urban Systems 50 (March 2015): 41–52. http://dx.doi.org/10.1016/j.compenvurbsys.2014.10.004.
Повний текст джерелаPrato, Carlo Giacomo. "META-ANALYSIS OF CHOICE SET GENERATION EFFECTS ON ROUTE CHOICE MODEL ESTIMATES AND PREDICTIONS." TRANSPORT 27, no. 3 (September 19, 2012): 286–98. http://dx.doi.org/10.3846/16484142.2012.719840.
Повний текст джерелаZhu, Shanjiang, and David Levinson. "Agent-Based Route Choice with Learning and Exchange of Information." Urban Science 2, no. 3 (July 15, 2018): 58. http://dx.doi.org/10.3390/urbansci2030058.
Повний текст джерелаPrashker, J. N., and S. Bekhor. "Investigation of Stochastic Network Loading Procedures." Transportation Research Record: Journal of the Transportation Research Board 1645, no. 1 (January 1998): 94–102. http://dx.doi.org/10.3141/1645-12.
Повний текст джерелаShakeel, Kiran, Taha Hossein Rashidi, and Travis S. Waller. "Choice Set Formation Behavior in Selecting Travel Routes: Application of an Interactive Online Survey Platform." Transportation Research Record: Journal of the Transportation Research Board 2669, no. 1 (January 2017): 1–9. http://dx.doi.org/10.3141/2669-01.
Повний текст джерелаYai, Tetsuo, and Tetsuo Shimizu. "Multinomial Probit with Structured Covariance for Choice Situations with Similar Alternatives." Transportation Research Record: Journal of the Transportation Research Board 1645, no. 1 (January 1998): 69–75. http://dx.doi.org/10.3141/1645-09.
Повний текст джерелаTribby, Calvin P., Harvey J. Miller, Barbara B. Brown, Carol M. Werner, and Ken R. Smith. "Analyzing walking route choice through built environments using random forests and discrete choice techniques." Environment and Planning B: Urban Analytics and City Science 44, no. 6 (July 20, 2016): 1145–67. http://dx.doi.org/10.1177/0265813516659286.
Повний текст джерелаBekhor, Shlomo, Moshe E. Ben-Akiva, and M. Scott Ramming. "Evaluation of choice set generation algorithms for route choice models." Annals of Operations Research 144, no. 1 (April 2006): 235–47. http://dx.doi.org/10.1007/s10479-006-0009-8.
Повний текст джерелаДисертації з теми "Route choice models"
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
Книги з теми "Route choice models"
Tom, Walters, California. Dept. of Education., and California. Dept. of Transportation., eds. Choosing a delivery route. Sacramento, Calif: Dept. of Education, 1997.
Знайти повний текст джерелаFarrand, Scott M. Choosing a delivery route. Sacramento, Calif: Dept. of Education, 1997.
Знайти повний текст джерелаTsavachidis, Maria. Modellierung und empirische Untersuchung des Routenwahlverhaltens in einem multivariaten Entscheidungskontext. München: Fachgebiet Verkehrstechnik und Verkehrsplanung der Technischen Universität München, 2002.
Знайти повний текст джерелаIda, Tohru. An approach to the transit passenger assignment with its application to metropolitan Manila. [Matsudo City, Japan]: Ida, 1992.
Знайти повний текст джерелаChapman, James Emory. SMARTRAQ: Integrating travel behavior and urban form data to address transportation and air quality problems in Atlanta. [Forest Park, Ga: Georgia Dept. of Transportation, Office of Materials and Research, Research and Development Branch], 2004.
Знайти повний текст джерелаPhillip, Vannini, ed. The cultures of alternative mobilities: Routes less travelled. Farnham, Surrey: Ashgate, 2009.
Знайти повний текст джерелаCeder, Avishai. Transportation and traffic theory: proceedings of the 14th International Symposium on Transportation and Traffic Theory, Jerusalem, Israel, 20-23 July, 1999. Pergamon, Amsterdam, 1999.
Знайти повний текст джерелаVannini, Phillip. Cultures of Alternative Mobilities: Routes Less Travelled. Taylor & Francis Group, 2016.
Знайти повний текст джерелаVannini, Phillip. Cultures of Alternative Mobilities: Routes Less Travelled. Taylor & Francis Group, 2016.
Знайти повний текст джерелаSchönfelder, Stefan, and Kay W. Axhausen. Urban Rhythms and Travel Behaviour: Spatial and Temporal Phenomena of Daily Travel. Taylor & Francis Group, 2016.
Знайти повний текст джерелаЧастини книг з теми "Route choice models"
Ben-Akiva, Moshe E., M. Scott Ramming, and Shlomo Bekhor. "Route Choice Models." In Human Behaviour and Traffic Networks, 23–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-07809-9_2.
Повний текст джерелаBovy, Piet H. L., and Eliahu Stern. "Route Choice Models." In Studies in Operational Regional Science, 171–211. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0633-4_5.
Повний текст джерелаChen, Huey-Kuo. "Dynamic System-Optimal Route Choice Model." In Dynamic Travel Choice Models, 181–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_10.
Повний текст джерелаChen, Huey-Kuo. "Dynamic User-Optimal Route Choice Model." In Dynamic Travel Choice Models, 55–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_4.
Повний текст джерелаRan, Bin, and David Boyce. "Ideal Dynamic Route Choice Models." In Modeling Dynamic Transportation Networks, 87–116. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80230-0_5.
Повний текст джерелаRan, Bin, and David Boyce. "Instantaneous Dynamic Route Choice Models." In Modeling Dynamic Transportation Networks, 141–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80230-0_7.
Повний текст джерелаChen, Huey-Kuo. "Stochastic/Dynamic User-Optimal Route Choice Model." In Dynamic Travel Choice Models, 229–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_12.
Повний текст джерелаChen, Huey-Kuo. "Fuzzy/Dynamic User-Optimal Route Choice Model." In Dynamic Travel Choice Models, 255–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_13.
Повний текст джерелаChen, Huey-Kuo. "Algorithms for the Dynamic Route Choice Model." In Dynamic Travel Choice Models, 73–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_5.
Повний текст джерелаChen, Huey-Kuo. "Dynamic User-Optimal Departure Time/Route Choice Model." In Dynamic Travel Choice Models, 85–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_6.
Повний текст джерелаТези доповідей конференцій з теми "Route choice models"
Fadaei Oshyani, Masoud, Marcus Sundberg, and Anders Karlstrom. "Estimating flexible route choice models using sparse data." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338676.
Повний текст джерелаSha, Zhenghui, Kushal A. Moolchandani, Apoorv Maheshwari, Joseph Thekinen, Jitesh Panchal, and Daniel A. DeLaurentis. "Modeling Airline Decisions on Route Planning Using Discrete Choice Models." In 15th AIAA Aviation Technology, Integration, and Operations Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-2438.
Повний текст джерелаBieker-Walz, Laura, Yun-Pang Flotterod, and Alexander Sohr. "Modelling of Emergency Vehicles Route Choice with Use of Trajectory Data." In 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2019. http://dx.doi.org/10.1109/mtits.2019.8883323.
Повний текст джерелаLiu, Qun, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, and Alimire Nabijiang. "Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation." In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. http://dx.doi.org/10.1109/ijcnn.2019.8852482.
Повний текст джерелаTinessa, Fiore, Vittorio Marzano, Andrea Papola, Marcello Montanino, and Fulvio Simonelli. "CoNL route choice model: numerical assessment on a real dataset of trajectories." In 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2019. http://dx.doi.org/10.1109/mtits.2019.8883349.
Повний текст джерелаHuber, Stefan. "Synthetization of bicycle route data from aggregate GPS-based cycling data and its utility for bicycle route choice analysis." In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2021. http://dx.doi.org/10.1109/mt-its49943.2021.9529316.
Повний текст джерелаTawfik, Aly M., John Szarka, Leanna House, and Hesham A. Rakha. "Disaggregate route choice models based on driver learning patterns and network experience." In 2011 14th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/itsc.2011.6082915.
Повний текст джерелаShelat, Sanmay, Oded Cats, Niels van Oort, and Hans van Lint. "Calibrating Route Choice Sets for an Urban Public Transport Network using Smart Card Data." In 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2019. http://dx.doi.org/10.1109/mtits.2019.8883366.
Повний текст джерелаCaggiani, Leonardo, Rosalia Camporeale, and Michele Ottomanelli. "A real time multi-objective cyclists route choice model for a bike-sharing mobile application." In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2017. http://dx.doi.org/10.1109/mtits.2017.8005593.
Повний текст джерелаHuber, Stefan, Sven Lisner, Paul Lindemann, Klemens Muthmann, Armin Schnabel, and Joris Friedl. "Modelling bicycle route choice in German cities using open data, MNL and the bikeSim web-app." In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2021. http://dx.doi.org/10.1109/mt-its49943.2021.9529273.
Повний текст джерелаЗвіти організацій з теми "Route choice models"
Kim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1931.
Повний текст джерелаJung, Paul H., Jean-Claude Thill, and Luis Armando Galvis-Aponte. State Failure, Violence, and Trade: Dangerous Trade Routes in Colombia. Banco de la República, December 2021. http://dx.doi.org/10.32468/dtseru.303.
Повний текст джерелаShe, Ruifeng, and Yanfeng Ouyang. Generalized Link-Cost Function and Network Design for Dedicated Truck-Platoon Lanes to Improve Energy, Pavement Sustainability, and Traffic Efficiency. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-037.
Повний текст джерела