A Simulation-Based Optimization Framework for Urban Transportation Problems

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Simulation-Based Optimization Framework for Urban Transportation Problems

The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. This paper proposes a simulation-based optimization (SO) method that enables the efficient use of complex stochastic urban traffic simulators to address various transportation problems. It presents a metamodel that integrates information from a simulator with an analytical queu...

متن کامل

A simulation-based optimization algorithm for dynamic large-scale urban transportation problems

This paper addresses large-scale urban transportation optimization problems with time-dependent continuous decision variables, a stochastic simulation-based objective function, and general analytical differentiable constraints. We propose a metamodel approach to address, in a computationally efficient way, these largescale dynamic simulation-based optimization problems. We formulate an analytic...

متن کامل

A simulation-based optimization framework for urban traffic control

Microscopic urban traffic simulators embed numerous behavioral models that describe individual driver decisions (e.g. route choice, departure time choice, response to information) to capture the interactions between complex travel demand patterns and network supply phenomena. These disaggregate models make them detailed tools appropriate to perform scenario-based or sensitivity analysis. Nevert...

متن کامل

A Framework for Adapting Population-Based and Heuristic Algorithms for Dynamic Optimization Problems

In this paper, a general framework was presented to boost heuristic optimization algorithms based on swarm intelligence from static to dynamic environments. Regarding the problems of dynamic optimization as opposed to static environments, evaluation function or constraints change in the time and hence place of optimization. The subject matter of the framework is based on the variability of the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Operations Research

سال: 2013

ISSN: 0030-364X,1526-5463

DOI: 10.1287/opre.2013.1226