منابع مشابه
Comparing Ant Colony Optimization and Genetic Algorithm Approaches for Solving Traffic Signal Coordination under Oversaturation Conditions
This article proposes to solve the oversaturated network traffic signal coordination problem using the Ant Colony Optimization (ACO) algorithm. The traffic networks used are discrete time models which use green times at all the intersections throughout the considered period of oversaturation as the decision variables. The ACO algorithm finds intelligent timing plans which take care of dissipati...
متن کاملDynamic Multi-Objective Navigation in Urban Transportation Network Using Ant Colony Optimization
Intelligent Transportation System (ITS) is one of the most important urban systems that its functionality affects other urban systems directly and indirectly. In developing societies, increasing the transportation system efficiency is an important concern, because variety of problems such as heavy traffic condition, rise of the accident rate and the reduced performance happen with the rise of p...
متن کاملMulti Agent Path Planning Approach to Dynamic Free Flight Environment
For years the air traffic routes have been fixed by the air traffic controllers on the basis of pre-acquired knowledge. Free flight air traffic management is a solution to move the decision making process for route choices from air traffic controllers to the cockpit. The basic idea is optimize the flight routes in the consideration of multiple objectives .i.e. the optimal path is decided based ...
متن کاملAnt colony algorithm for traffic signal timing optimization
In order to separate the conflict of the traffic flow effectively, time delay, number of stops and traffic capacity are chosen as performance indexes, and the objective function related to the cycle time and the saturation of an intersection is established by using the weighting coefficients. Then, based on the uncertainty and convergence analysis of ant colony algorithm (ACA), computational ex...
متن کاملNetwork Traffic Prediction Based on SVR Improved By Chaos Theory and Ant Colony Optimization
Network traffic prediction is one of the significant issues. The model for network traffic prediction should meet the following requirements. First, the model should be taken into consideration the characteristics of the network flow such as burstiness, long-range dependence, periodicity and self-similarity. To achieve this, we decompose the original flow in a multi-scale manner into a set of l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009