Evolutionary Transportation Planning Model: Structure and Application
نویسنده
چکیده
An evolutionary transportation planning model wherein the demand in a given year depends on the demand of the previous year is described. The model redistributes a fraction of the work trips each year associated with the relocation of a household or taking a new job, whereas changes in distribution associated with growth (or decline) are considered. This hybrid-evolutionary model is compared with an equilibrium model, wherein supply and demand are solved simultaneously. The reasons for preferring the evolutionary method to the equilibrium approach are several: (a) the ability to more easily use observed data and thereby limit modeling to changes in behavior, (b) additional realism in the concept of the model, (c) the provision of a framework for extension to integration with land use models, and (d) the additional information available to policy makers.
منابع مشابه
Application of Hazard Based Model for Housing Location Based on Travel Distance to Work
Residential location choice modeling is one of the areas in transportation planning that attempts to examine households location search behavior incorporating their trade-offs between housing quality, prices or rents, distance to work and other key factors. This brings up the need to come up with methods to logically allocate credible choice alternatives for individuals.This article attempts to...
متن کاملAn Appraisal of Sustainable Urban Transportation: Application of a System Dynamics Model
Increasing pressures caused by negative consequences of transportation and traffic problems in major cities, have resulted many attempts towards improvement of planning and management of transportation systems, according to sustainability objectives. In this paper, a comprehensive model is developed using a system dynamics approach to evaluate sustainable urban transportation. This model includ...
متن کاملEvolutionary and Preferential Attachment Models of Demand Growth and Their Use in Transportation Planning
This paper considers a dual time scale transportation planning model for which demand evolves on a day-to-day time scale and traffi c flows on arcs of the transportation network fluctuate on a within-day time scale. We show the problem is particularly amenable to a demand learning approach when using a demand model motivated by evolutionary game theory. We then argue that an alternative model o...
متن کاملVerification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation
Nonlinear function approximation is one of the most important tasks in system analysis and identification. Several models have been presented to achieve an accurate approximation on nonlinear mathematics functions. However, the majority of the models are specific to certain problems and systems. In this paper, an evolutionary-based wavelet neural network model is proposed for structure definiti...
متن کاملTowards Agent-Based Evolutionary Planning in Transportation Systems
In this paper problems of planning in transportation systems based on Pickup and Delivery Problem with Time Windows (PDPTW) are discussed. The results of two variants of evolutionary algorithms illustrate the pros and cons of using different approaches, and their cooperation in hybrid island model indicates how they can help each other in achieving better solutions. This leads to the general id...
متن کامل