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2009 | Buch

Transportation Systems Analysis

Models and Applications

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Über dieses Buch

Science is made of facts just as a house is made of bricks, but a collection of facts is no more science than a pile of bricks is a house. Henri Poincaré Theaimofthedisciplinesofpraxisisnottheoreticalknowledge. . . . Itistochangetheforms ofaction. . . . Aristotle Transportation systems consist not only of the physical and organizational e- ments that interact with each other to produce transportation opportunities, but also of the demand that takes advantage of such opportunities to travel from one place to another. This travel demand, in turn, is the result of interactions among the v- ious economic and social activities located in a given area. Mathematical models of transportation systems represent, for a real or hypothetical transportation s- tem, the demand ?ows, the functioning of the physical and organizational elements, the interactions between them, and their effects on the external world. Mathematical models and the methods involved in their application to real, large-scale systems are thus fundamental tools for evaluating and/or designing actions affecting the ph- ical elements (e. g. , a new railway) and/or organizational components (e. g. , a new timetable) of transportation systems. This book discusses the mathematical models that are used to analyze transpor- tion systems, presenting them as the result of a limited number of general assu- tions (theory). It also deals with the methods needed to make these models ope- tional, and with their application to transportation system project design and eva- ation. This ?eld of knowledge is known as transportation systems engineering.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Modeling Transportation Systems: Preliminary Concepts and Application Areas
Abstract
This chapter defines transportation systems and identifies their main components and the interactions between them are presented. The basic assumptions made to analyze these systems are described through mathematical models that are briefly introduced and are described at length in later chapters. Finally, the “mission” of transportation systems engineering is reported. Its role in the wider and more complex decision-making process, as well as some of its typical application areas.
Ennio Cascetta
Chapter 2. Transportation Supply Models
Abstract
This chapter deals with the mathematical models simulating transportation supply systems. In broad terms a transportation supply model can be defined as a model, or rather a system of models, simulating the performances and flows resulting from user demand and the technical and organizational aspects of the physical transportation supply.
Ennio Cascetta
Chapter 3. Random Utility Theory
Abstract
In Chap. 1 it was stated that transport flows result from the aggregation of individual trips. Each trip is the result of a number of choices made by transport system users: by travelers in the case of personal transport or by operators (manufacturers, shippers, carriers) in goods transport. Some choices are made infrequently, such as where to reside and work and whether to own a vehicle. Other choices are made for each trip; these include whether to make the trip, at what time, to what destination or destinations, by what mode, and using what path. Each choice context, defined by the available alternatives, evaluation factors, and decision procedures, is known as a “choice dimension.” In most cases, travel choices are made among a finite number of discrete alternatives.
Ennio Cascetta
Chapter 4. Travel-Demand Models
Abstract
As stated in Chap. 1, travel demand derives from the need to carry out activities in multiple locations. Thus, the level and characteristics of travel demand are influenced by the activity system and the transportation opportunities in the area.
Ennio Cascetta
Chapter 5. Basic Static Assignment to Transportation Networks
Abstract
Traffic assignment models simulate the interaction of demand and supply on a transportation network. These models allow calculation of performance measures and user flows for each supply element (network link), resulting from origin–destination (O-D) demand flows, path choice behavior, and the mutual interactions between supply and demand.
Ennio Cascetta
Chapter 6. Advanced Models for Traffic Assignment to Transportation Networks
Abstract
Assignment to a transportation network has already been introduced in Chap. 5. Here we continue the analysis of assignment in the absence of within-day dynamics. In Sect. 6.2 we describe assignment with preventive-adaptive path choice, Sect. 6.3 covers the extension to the case of variable demand and/or multimodal assignment, and Sect. 6.4 deals with multiclass assignment models. In Sect. 6.5 we introduce assignment with day-to-day dynamics (dynamic process). As each of these extensions may be combined in banal fashion with each of the others, combined cases are not treated explicitly (e.g., multiclass assignment with variable demand); in Sect. 6.6 we present an overall scheme that allows straightforward comparison of these extensions. Also in this chapter, as in Chap. 5, the algorithms described are only those used more commonly or that are simpler to implement.
Ennio Cascetta
Chapter 7. Intraperiod (Within-Day) Dynamic Models*
Abstract
The models presented in the previous chapters describe the steady-state behavior of the transport system. Invariance in time of the variables concerned means it can be represented by a single snapshot; a representation that we could therefore call static, the result of an equilibrium assignment, for example, photographs of that particular condition of system behavior in which path (or link) flows and costs are mutually consistent and, as stated above, stationary. This configuration could be observed in the real world only if demand, path choices, and supply system remained constant for a sufficiently long period of time that the system could reach a steady-state condition. Thus, although difficult to observe in reality, as described in Chap. 1, it may be assumed as being representative of average system conditions in the simulation period adopted.
Ennio Cascetta
Chapter 8. Estimation of Travel Demand Flows
Abstract
The analysis and design of transportation systems require the estimation of present demand and the forecasting of (hypothetical) future demand. These estimates and forecasts can be obtained using a variety of information sources and statistical procedures.
Ennio Cascetta
Chapter 9. Transportation Supply Design Models
Abstract
This chapter outlines a wide range of methods and mathematical models that may assist the transportation systems engineer in designing projects or other interventions. It should be stated at the outset that supply design models are not meant to “automate” the complex task of design, especially when the proposed actions can significantly alter the performance of the transportation system. In this case, as we have seen, a project may have structural effects ranging from changes in land use to modifications in the level and structure of travel demand. On the other hand, the elements of the transportation supply to be designed may assume a very large number of possible configurations: circulation directions in an urban road network or the lines and frequencies of a transit system are two cases in point. In the presence of such a large number of possibilities, it is practically impossible to explore and compare all the feasible configurations in order to identify the optimum with respect to a given set of objectives and constraints.
Ennio Cascetta
Chapter 10. Methods for the Evaluation and Comparison of Transportation System Projects
Abstract
The decision-making process can address the evaluation of an individual project or the comparison of multiple alternative projects. The first case examines the economic, financial and other impacts of carrying out a particular project. In the second case, the decision-making process is intended to help choose the best among different possible solutions whose economic or financial impacts have been previously determined. This chapter focuses on the activities relating to project evaluation and comparison. Economic and financial analysis techniques used in project evaluation such as Cost-Benefit analysis and Cost-Revenue analysis as well as Multi-Criteria analysis methods for the comparison of alternative projects are described in detail.
Ennio Cascetta
Backmatter
Metadaten
Titel
Transportation Systems Analysis
verfasst von
Ennio Cascetta
Copyright-Jahr
2009
Verlag
Springer US
Electronic ISBN
978-0-387-75857-2
Print ISBN
978-0-387-75856-5
DOI
https://doi.org/10.1007/978-0-387-75857-2

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