Publication

Simulation and optimization in transportation: an overview

Michel Bierlaire
2014
Talks

Abstract

During the last two decades, the use of simulation tools in transportation engineering has become inevitable. Many methodologies developed by the research community during the late 90s have made their way to commercial softwares, used daily by practitioners. These tools are convenient for so-called scenario based analysis, that is the derivation of indicators of performance under various design scenarios. Still, there are several pitfalls to be aware of when using them. It is also highly desirable to use them in a more systematic way, and to include them in a optimization framework. In this lecture, we discuss the pitfalls of simulation, and review the issues related to simulation-based optimization. We also report some recent developments in the field of transportation.

Official source

https://infoscience.epfl.ch/entities/publication/49ac54a7-55f5-490e-a7d8-989d72236217

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Michel Bierlaire
2014
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/49ac54a7-55f5-490e-a7d8-989d72236217

About this result

Related concepts (21)

Simulation

A simulation is the imitation of the operation of a real-world process or system over time. Simulations require the use of models; the model represents the key characteristics or behaviors of the selected system or process, whereas the simulation represents the evolution of the model over time. Often, computers are used to execute the simulation. Simulation is used in many contexts, such as simulation of technology for performance tuning or optimizing, safety engineering, testing, training, education, and video games.

Mathematical optimization

Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.

Commercial software

Commercial software, or seldom payware, is a computer software that is produced for sale or that serves commercial purposes. Commercial software can be proprietary software or free and open-source software. While software creation by programming is a time and labor-intensive process, comparable to the creation of physical goods, the reproduction, duplication and sharing of software as digital goods is in comparison disproportionately easy. No special machines or expensive additional resources are required, unlike almost all physical goods and products.

Related publications (31)

Simulation and optimization in transportation: an overview

Chat with Graph Search

ABODES: An Agent-Based Framework for Evaluating Hybrid Work Policies Across Energy and Social Infrastructure

Simulation of the mouse visual cortex

AI-Accelerated Multiscale Modeling