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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.
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.
Collecting fares through "smart cards" is becoming standard in most advanced public transport networks of major cities around the world. Travellers value their convenience and operators the reduced money handling fees. Electronic tickets also make it easier to integrate fare systems, to create complex time and space differentiated fare systems, and to provide incentives to specific target groups. A less-utilised benefit is the data collected through smart cards. Records, even if anonymous, provide for a much better understanding of passengers’ travel behaviour as current literature shows. This information can also be used for better service planning. Public Transport Planning with Smart Card Data handles three major topics: how passenger behaviour can be estimated using smart card data, how smart card data can be combined with other trip databases, and how the public transport service level can be better evaluated if smart card data is available. The book discusses theory as well as applications from cities around the world and will be of interest to researchers and practitioners alike who are interested in the state-of-the-art as well as future perspectives that smart card data will bring.
This book constitutes the proceedings of the 4th International Conference on Intelligent Transport Systems, INTSYS 2020, which was held in December 2020. Due to COVID-19 pandemic the conference was held virtually. With the globalization of trade and transportation and the consequent multi-modal solutions used, additional challenges are faced by organizations and countries. Intelligent Transport Systems make transport safer, more efficient, and more sustainable by applying information and communication technologies to all transportation modes. The 16 revised full papers in this book were selected from 38 submissions and are organized in three thematic sessions on mobility; applications; simulation and prediction.
Transportation Engineering and Planning is a component of Encyclopedia of Physical Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Transportation Engineering and Planning presents the readers with diverse sources of information and knowledge about transportation engineering and planning, to help ensure that informed actions are compatible with sustainable world development. It begins with a historical analysis of transportation development, since an understanding of how transportation technologies developed is a prerequisite for understanding issues involved in transportation systems, and for developing sound policy analysis. Next, the various chapters analyze transportation problems, discusses the state of public policy addressing those problems, considers the causes and effects of changes in demand for mobility as the socio-economic environment changes, and then deals with the fundamental questions related to transportation. These two volumes are aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
Each chapter in Equilibrium and Advanced Transportation Modelling develops a topic from basic concepts to the state-of-the-art, and beyond. All chapters relate to aspects of network equilibrium. Chapter One advocates the use of simulation models for the representation of traffic flow movements at the microscopic level. Chapter Two presents travel demand systems for generating trip matrices from activity-based models, taking into account the entire daily schedule of network users. Chapter Three examines equilibrium strategic choices adopted by the passengers of a congested transit system, carefully addressing line selection at boarding and transfer nodes. Chapter Four provides a critical appraisal of the traditional process that consists in sequentially performing the tasks of trip generation, trip distribution, mode split and assignment, and its impact on the practice of transportation planning. Chapter Five gives an insightful overview of stochastic assignment models, both in the static and dynamic cases. Chapters Six and Seven investigate the setting of tolls to improve traffic flow conditions in a congested transportation network. Chapter Eight provides a unifying framework for the analysis of multicriteria assignment models. In this chapter, available algorithms are summarized and an econometric perspective on the estimation of heterogeneous preferences is given. Chapter Nine surveys the use of hyperpaths in operations research and proposes a new paradigm of equilibrium in a capacitated network, with an application to transit assignment. Chapter Ten analyzes the transient states of a system moving towards equilibrium, using the mathematical framework of projected dynamical systems. Chapter Eleven discusses an in-depth survey of algorithms for solving shortest path problems, which are pervasive to any equilibrium algorithm. The chapter devotes special attention to the computation of dynamic shortest paths and to shortest hyperpaths. The final chapter considers operations research tools for reducing traffic congestion, in particular introducing an algorithm for solving a signal-setting problem formulated as a bilevel program.
In recent years more emphasis has been placed in transport research on using existing roads as efficiently as possible in order to diminish the impact of traffic congestion. This book describes new theoretical, empirical and simulation models to analyse the impact of information provision to drivers and road pricing on congestion levels. It is the first publication presenting a wide variety of economic models to study information and road pricing effects jointly.
Transportation engineering and transportation planning are two sides of the same coin aiming at the design of an efficient infrastructure and service to meet the growing needs for accessibility and mobility. Many well-designed transport systems that meet these needs are based on a solid understanding of human behavior. Since transportation systems
Originally published in 1999, this volume contains a systematic collection of both theoretical and applied studies on user information systems for road users. It is generally expected that reliable information offered to road users will improve the use of scarce capacity on transport networks but from a research perspective the question arises whether the provision of such hard and software will influence the behaviour of road users to such an extent that a more desirable traffic situation will emerge. The book contains European, American and Asian contributions and presents advances and findings in the field of theoretical, simulation and empricial models on driver information systems and behaviour, whilst also paying attention to the design of such systems.
"This book aims at giving a complete panorama of the active and promising crossing area between traffic engineering and multi-agent system addressing both current status and challenging new ideas"--Provided by publisher.