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Modeling Route Choice Behavior In Multimodal Transport Networks
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Book Synopsis Modeling Route Choice Behavior in Multimodal Transport Networks by : Rogier J. A. Uges
Download or read book Modeling Route Choice Behavior in Multimodal Transport Networks written by Rogier J. A. Uges and published by Delft University Press. This book was released on 2003-01-01 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Despite its relatively low market share, multimodal personal transportation is an important research subject. This form of transportation may play an important role in keeping our cities accessible and liveable. In addition, because of its behavioral and "
Book Synopsis Route Choice: Wayfinding in Transport Networks by : P.H. Bovy
Download or read book Route Choice: Wayfinding in Transport Networks written by P.H. Bovy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the ever increasing number of opportunities, in every aspect of modem life, making choices becomes part of our daily routine. It is thus only natural that social scientists have started to study human choice behavior. Early efforts focused on modeling aggregate choice patterns of home buyers, shoppers, travelers, and others. Later studies, aiming to achieve more realistic results, have concentrated on simula ting disaggregate behavior. The most recent approach in choice research is the so-called Discrete Choice Modeling. It is a front-line area mainly in contemporary transportation, geography, and behavioral research. It focuses on individuals' decision-making processes regarding the choice of destinations, modes, departure times, and routes. Considerable research has been done on identifying and quantify ing the general rules governing the individuals' choice behavior, but to the best of our knowledge there is no single book that solely deals with route choice. The study of travelers' route choice in networks is primarily oriented towards gaining insight into their spatial choice behavior. How do people choose routes in a network, what do they know, what do they look for, which road characteristics playa role? On the basis of this information it is possible to design quantitative models aimed at predicting the use of routes dependent on the characteristics of the routes, those of the surrounding environment, and those of the travelers. In this way, traffic flows in the network can be calculated and the network performance can be evaluated.
Book Synopsis Modeling And Optimizing Route Choice For Multimodal Transportation Networks by : Behzad Rouhieh
Download or read book Modeling And Optimizing Route Choice For Multimodal Transportation Networks written by Behzad Rouhieh and published by . This book was released on 2016 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic congestion has been one of the major issues that most urban areas are facing and thus, many solutions have been developed and deployed in order to mitigate its negative effects. Advanced Traveler Information Systems (ATIS) have been used over the past two decades to provide travelers with pre-trip or real-time traffic information. Most of the efforts have focused on providing timely traffic information at locations with regularly occurring congestion. ATIS can be used to provide travelers with pre-trip and on-route travel information necessary to improve trip decision making with respect to various criteria (e.g. minimizing delay, constraining travel to specific modes). Many jurisdictions within Canada and the United States have implemented the 511 travel information system that provides traffic information, road conditions and closures, traffic cameras, etc. Several studies were conducted on vehicle routing optimization methods in ATIS. Most of them consider passenger vehicles as the only transportation mode in their routing algorithm. Others that include two transportation modes are mostly based on shortest path algorithms. However, a probabilistic based route optimization approach could better capture the stochastic characteristic of road traffic conditions. This research investigates an adaptive routing methodology for multi-modal transportation networks. A routing algorithm based on Markov decision processes is proposed to capture short-term traffic characteristics of transportation networks. Graph theory is used to model typical travel behavior within a multimodal network. This thesis proposes to use special network modeling elements, e.g. super nodes, to allow the integration of public transportation schedule into the model via the publicly available predefined timetables. The proposed routing algorithm applies an iterative function to select the optimal transportation mode/route through the network junctions along a given path. The proposed methodology is applied to several real-world networks of motorized and non-motorized modes located in the central business district in Toronto, Ontario, and Montreal and Longueuil in Quebec. The networks include train, bus, streetcar, subway and bicycle transportation facilities. Microsimulation models of the networks developed in VISSIM and AIMSUN are used to estimate travel times along major arterials, for all transportation modes and for different traffic demands and congestion levels. The simulation models were calibrated using volume and speed data. The developed routing algorithm is applied to several scenarios in order to estimate optimal routes for a hypothetical traveler moving between two arbitrarily selected nodes in the network. The results identify the most efficient combination of transportation modes that the travelers have to use given specific constraints pertaining to traffic and transit service conditions. It is also shown that by applying the proposed algorithm to bus lines, transit agencies can have significant cost savings by rerouting their fleet. The results of the proposed research have the potential to be integrated into various Intelligent Transportation Systems applications by combining available traveler information services. It can assist travelers in making more informed decisions regarding their travel plans and provide transportation agencies with an overall assessment of the system and its performance. For example, it can be used to minimize the impact of congested traffic conditions on the overall travel time and/or cost incurred by travelers as well as the operating cost of transit agencies.
Book Synopsis Modelling Intelligent Multi-Modal Transit Systems by : Agostino Nuzzolo
Download or read book Modelling Intelligent Multi-Modal Transit Systems written by Agostino Nuzzolo and published by CRC Press. This book was released on 2017-02-17 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment modelling approach has improved greatly in recent years and has a crucial role to play in this new context.
Book Synopsis Choice Set Generation in Multi-modal Transportation Networks by : Maria Stella Fiorenzo-Catalano
Download or read book Choice Set Generation in Multi-modal Transportation Networks written by Maria Stella Fiorenzo-Catalano and published by . This book was released on 2007 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Route Choice and Traffic Equilibrium Modeling in Multi-modal and Activity-based Networks by : Maëlle Zimmermann
Download or read book Route Choice and Traffic Equilibrium Modeling in Multi-modal and Activity-based Networks written by Maëlle Zimmermann and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Traveling is an essential part of daily life, whether to attend work, perform social activities, or go shopping among others. We benefit from an increasing range of available transportation services to choose from, which supports economic growth and contributes to our quality of life. Yet the growing demand for travel, combined with urban sprawl and increasing vehicle ownership rates, is also responsible for major local and global externalities, such as degradation of the environment, congestion and noise. In order to mitigate the negative impacts of traveling while weighting benefits to users, transportation planners seek to design policies and improve infrastructure with the best possible outcome for society as a whole. Taking effective actions requires to evaluate the impact of various measures, which necessitates first to understand and predict travel behavior, i.e., how, when and by which route individuals decide to travel. With this background in mind, this thesis has the objective of developing and applying models to predict flows of persons and/or vehicles in multi-modal transportation networks. It is desirable that such models be data-driven, produce accurate predictions, and be applicable to real networks. In practice, the problem of flow prediction is addressed in two separate steps, and this thesis is concerned with both. The first, route choice analysis, is the problem of identifying the path a traveler would take in a network. This is achieved by estimating from data a parametrized cost function representing travelers' behavior. The second step, namely traffic assignment, aims at distributing all travelers on the network's paths in order to find an equilibrium state, such that no traveler has an interest in changing itinerary. The challenge lies in taking into account the effect of generated congestion, which depends on travelers' route choices while simultaneously impacting their cost of traveling. This thesis is composed of four articles submitted to international journals and an additional chapter. In all the articles of the thesis, we model an individual's choice of path as a sequence of link choices, using so-called recursive route choice models. This methodology is a state-of-the-art framework which is known to possess the advantage of unbiased parameter estimates and fast assignment procedures, by avoiding to generate choice sets of paths. However, it poses the additional challenge of requiring one to solve embedded dynamic programming problems, and is hence not widely used in the transportation community. This thesis addresses practical and theoretical challenges related to applying this methodological framework to real multi-modal networks. The strength of this thesis consists in large-scale applications which bear computational challenges, as well as some methodological contributions to this modeling framework. The first article in this thesis is a tutorial on predicting and analyzing path choice behavior using recursive route choice models. The contribution of this article is to familiarize researchers with this methodology, to give intuition on the model properties, to illustrate its advantages through examples, and finally to position this modeling framework within a broader context, by establishing links with recently published work in the inverse optimization and machine learning fields. Two articles and an additional chapter can be categorized as applications of the methodology to estimate parameters of travel demand models in several large, real, and/or multi-dimensional networks. These applications go beyond previous studies on small physical road networks. First, we estimate recursive models for the route choice of cyclists and we demonstrate some advantages of the recursive models in the context of prediction. We also provide an application to a time-expanded public transportation networks with several modes. Then, we consider a broader travel demand problem, in which decisions regarding daily trips and participation in activities are made jointly. The latter is also modeled with recursive route choice models by considering sequences of activity, destination and mode choices as paths in a so-called supernetwork. Finally, the subject of the last article in this thesis is traffic assignment. More precisely, we address the problem of computing a traffic equilibrium in networks with strictly limited link capacities, such as public transport networks. This article provides important methodological contributions. We propose a strategic Markovian traffic equilibrium model which assigns flows to networks without exceeding link capacities while realistically modeling how the risk of not being able to access an arc affects route choice behavior.
Book Synopsis Experimental Analysis and Modeling of Sequential Route Choice Behavior Under ATIS in a Simplistic Traffic Network by :
Download or read book Experimental Analysis and Modeling of Sequential Route Choice Behavior Under ATIS in a Simplistic Traffic Network written by and published by . This book was released on 1992 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modelling Intelligent Multi-Modal Transit Systems by : Agostino Nuzzolo
Download or read book Modelling Intelligent Multi-Modal Transit Systems written by Agostino Nuzzolo and published by CRC Press. This book was released on 2017-02-17 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment modelling approach has improved greatly in recent years and has a crucial role to play in this new context.
Book Synopsis Modeling Dynamic Transportation Networks by : Bin Ran
Download or read book Modeling Dynamic Transportation Networks written by Bin Ran and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book seeks to summarize our recent progress in dynamic trans portation network modeling. It concentrates on ideal dynamic network models based on actual travel times and their corresponding solution algorithms. In contrast, our first book DynamIc Urban Transportation Network Models - The ory and Implications for Intelligent Vehicle-Hzghway Systems (Springer-Verlag, 1994) focused on instantaneous dynamic network models. Comparing the two books, the major differences can be summarized as follows: 1. This book uses the variational inequality problem as the basic formulation approach and considers the optimal control problem as a subproblem for solution purposes. The former book used optimal control theory as the basic formulation approach, which caused critical problems in some circumstances. 2. This book focuses on ideal dynamic network models based on actual travel times. The former book focused on instantaneous dynamic network models based on currently prevailing travel times. 3. This book formulates a stochastic dynamic route choice model which can utilize any possible route choice distribution function instead of only the logit function. 4. This book reformulates the bilevel problem of combined departure time/ route choice as a one-level variational inequality. 5. Finally, a set of problems is provided for classroom use. In addition, this book offers comprehensive insights into the complexity and challenge of applying these dynamic network models to Intelligent Trans portation Systems (ITS). Nevertheless, the models in this text are not yet fully evaluated and are subject to revision based on future research.
Book Synopsis Simulation Approaches in Transportation Analysis by : Ryuichi Kitamura
Download or read book Simulation Approaches in Transportation Analysis written by Ryuichi Kitamura and published by Springer Science & Business Media. This book was released on 2006-03-10 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation Approaches in Transportation Analysis: Recent Advances and Challenges presents the latest developments in transport simulation, including dynamic network simulation and micro-simulation of people’s movement in an urban area. It offers a collection of the major simulation models that are now in use throughout the world; it illustrates each model in detail, examines potential problems, and points to directions for future development. The reader will be able to understand the functioning, applicability, and usefulness of advanced transport simulation models. The material in this book will be of wide use to graduate students and practitioners as well as researchers in the transportation engineering and planning fields.
Download or read book Urban Informatics written by Wenzhong Shi and published by Springer Nature. This book was released on 2021-04-06 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Book Synopsis Multi-modal Route Choice Modeling in a Dynamic Schedule-based Transit Network by : Maëlle Zimmermann
Download or read book Multi-modal Route Choice Modeling in a Dynamic Schedule-based Transit Network written by Maëlle Zimmermann and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modelling Travel Behaviour in Multi-modal Networks by : Sascha Hoogendoorn-Lanser
Download or read book Modelling Travel Behaviour in Multi-modal Networks written by Sascha Hoogendoorn-Lanser and published by . This book was released on 2005 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modeling Driver's Route Choice Behavior Under the Influence of Advanced Traveler Information Systems by : Samer Madanat
Download or read book Modeling Driver's Route Choice Behavior Under the Influence of Advanced Traveler Information Systems written by Samer Madanat and published by . This book was released on 1997 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Multi-Agent Transport Simulation MATSim by : Andreas Horni
Download or read book The Multi-Agent Transport Simulation MATSim written by Andreas Horni and published by Ubiquity Press. This book was released on 2016-08-10 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-alone C++ programs to an integrated Java-based framework which is publicly hosted, open-source available, automatically regression tested. It is currently used by about 40 groups throughout the world. This book takes stock of the current status. The first part of the book gives an introduction to the most important concepts, with the intention of enabling a potential user to set up and run basic simulations. The second part of the book describes how the basic functionality can be extended, for example by adding schedule-based public transit, electric or autonomous cars, paratransit, or within-day replanning. For each extension, the text provides pointers to the additional documentation and to the code base. It is also discussed how people with appropriate Java programming skills can write their own extensions, and plug them into the MATSim core. The project has started from the basic idea that traffic is a consequence of human behavior, and thus humans and their behavior should be the starting point of all modelling, and with the intuition that when simulations with 100 million particles are possible in computational physics, then behavior-oriented simulations with 10 million travelers should be possible in travel behavior research. The initial implementations thus combined concepts from computational physics and complex adaptive systems with concepts from travel behavior research. The third part of the book looks at theoretical concepts that are able to describe important aspects of the simulation system; for example, under certain conditions the code becomes a Monte Carlo engine sampling from a discrete choice model. Another important aspect is the interpretation of the MATSim score as utility in the microeconomic sense, opening up a connection to benefit cost analysis. Finally, the book collects use cases as they have been undertaken with MATSim. All current users of MATSim were invited to submit their work, and many followed with sometimes crisp and short and sometimes longer contributions, always with pointers to additional references. We hope that the book will become an invitation to explore, to build and to extend agent-based modeling of travel behavior from the stable and well tested core of MATSim documented here.
Book Synopsis Dynamic Urban Transportation Network Models by : Bin Ran
Download or read book Dynamic Urban Transportation Network Models written by Bin Ran and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Vehicle-Highway Systems are providing a welcome stimulus to research on dynamic urban transportation network models. This book presents a new generation of models for solving dynamic travel choice problems including traveler's destination choice, mode choice, departure/arrival time choice and route choice. These models are expected to function as off-line travel forecasting and evaluation tools, and eventually as on-line prediction and control models in advanced traveler information and traffic management systems. In addition to a rich set of new formulations and solution algorithms, the book provides a summary of the necessary mathematical background and concludes with a discussion of the requirements for model implementation.
Book Synopsis Schedule-Based Dynamic Transit Modeling by : Nigel H. M. Wilson
Download or read book Schedule-Based Dynamic Transit Modeling written by Nigel H. M. Wilson and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Schedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on-board loads and travel times for each run of each line to be obtained, and uses behavioral hypotheses strictly related to transit systems and user characteristics. It allows us to open new frontiers in transit modelling to support network design, timetable setting, investigation of congestion effects, as well as the assessment of new technologies introduction, such as information to users (ITS technologies). The contributors and editors of the book are leading researchers in the field of transportation, and in this volume they build a solid foundation for developing still more sophisticated models. These future models of mass transit systems will continue to add higher levels of accuracy and sensitivity desired in forecasting the performance of public transport systems.
