The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To analyze and predict a behavior of large-scale traffics with what-if simulation, it needs to repeat many times with various patterns of what-if scenarios. In this paper, we propose new techniques to efficiently repeat what-if simulation tasks with exact-differential simulation. The paper consists of two main efforts: what-if scenario filtering and exact-differential cloning. The what-if scenario...
One of the major trends in traffic simulations is to take into account microscopic aspects of traffic flows at the street level. Multi-agent models such as MATSim (multi-agent transport simulation) have been highlighted for recent years as a solution to address these complex and microscopic simulation requirements. They are viewed as an emergent and collective behavior of agents, (i.e., vehicles)...
With global transshipment trade increasing, new design solutions are required to keep the desired performance of the terminal. In this scope, this study introduces a new terminal solution, the Single GRID module (SGM). In order to scale the SGM we propose and compare two solutions: the Hybrid GRID (H-GRID) and the Extended GRID (E-GRID). Both implementations and the SGM use extensively simulation...
Pre-timed signalized junctions are prevalent in real world as they are inexpensive and easy to implement. Traffic flow in these junctions exhibit large variations even for the same time interval of the day. Hence, robust signal timings, those are less sensitive to uncertain traffic flow are desired. The existing signal control models for pre-timed junctions use min-max approach for robust signal control...
The goal of this work is to propose a hardware-in-the-loop, human-in-the-loop agent-based simulation which incorporates the human crowd characteristics and behaviors captured by computer vision techniques, for an effective crowd control using unmanned vehicles (UVs). Three major functions needed in our autonomous surveillance system include: 1) detection, 2) modeling, and 3) tracking. The proposed...
It is indispensable to make full use of parallel and distributed systems with increasing demands for large-scale traffic simulation, but problems remain about insufficient scalability due to costs of synchronization by load unbalancing among compute nodes. To tackle this problem, we propose performance optimization method for traffic simulations to underlying road networks preprocessed by graph contraction...
To fulfill various customer demands by the same group of machines, flexible machine systems (FMS) are commonly used in fabrication facilities with heavy investment. FMS are computer-controlled systems consisting of several stations where each station specializes in particular operations with an appropriate transport system for the movement of products. In some wafer fabrication facilities, wafers...
In this paper, we introduce an intelligent vehicle in traffic flow where a phantom traffic jam occurs for ensuring traffic-flow stability. The intelligent vehicle shares information on the speed and gap of the leading vehicle. Furthermore, the intelligent vehicle can foresee changes in the leading vehicles through shared information and can start accelerating faster than human-driven vehicles can...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.