Migration to a Networked Workstation Environment
Most engineering firms and universities are in the process of migrating from mainframe(s) and/or minicomputer(s) and personal computers to a networked workstation environment. Although...
Use of Construction Simulation in Claims Analysis
The increasing complexity of today's construction projects has led to considerable progress in developing sophisticated simulation-based methods and tools for the analysis and planning...
Artificial Neural Networks and Knowledge-Based Systems: Complementary AI Techniques for Civil Engineering
This paper considers the feasibility of integrating Artificial Neural Networks (ANNs) and Knowledge-Based Systems (KBSs) to solve civil engineering problems. KBSs are superior at representing...
NETSYN: Neural Network-based Support for Synthesis
Our goal in applying machine learning for synthesis is to develop a tool that assists in acquiring the relationships between form, function, and behavior properties that can be used to...
Neural Network Learning in Structural Engineering Applications
Neural networks based on the backpropagation learning algorithm have been used in a number of structural engineering applications. The paper classifies the different types of relationships...
Optimal Adaptive and Predictive Control System of Buildings by Neural Network and Fuzzy Theory
This paper describes an optimal adaptive and predictive control system and its digital simulations for a single-degree-of-freedom system subjected to earthquake loading. In this system,...
Resource Constrained Time-Space Scheduling Model
This study aims to develop a resource constrained time-space scheduling model, mainly aiming application to pipeline laying world for gas supply under roads in urban area. This model can...
Invasion of the Zebra Mussels
At first glance, the zebra mussel looked like doom for freshwater users in the Great Lakes: small, hardy, incredibly prolific European mollusks with an affection for freshwater intakes...
Neural Network System for Automated Highway Pavement Inspection
A multi-layer perceptron back propagation neural network based methodology has been developed to process and analyze moire fringes obtained with an automated highway pavement inspection...
Evaluation of Two Automated Thresholding Techniques for Pavement Images
Thresholding of pavement images is an important step towards the design of an automated pavement crack detection system. However, traditional automated thresholding techniques generally...
Infrastructure Condition Forecasting Using Neural Networks
Condition forecasting models are critical components of any infrastructure management system. infrastructure condition assessed through periodic inspections which assign ratings to various...
Pavement Network Level Management Using Micro PAVER
This paper presents pavement network level management using Micro PAVER with emphasis on pavement condition prediction modeling and annual and long range work planning....
Research on the Buffer Effect of Canals
In Japan, canals for transport have been developed on the coast of urban areas. Recently, it has become evident that those areas are under chaotic conditions due to the decline of the...
Automatic Vehicle Location at Seattle Metro
Seattle Metro has issued final acceptance on a signpost-based AVL system. The system has been well received by operators and by service communications coordinators. Metro has taken steps...
Rural Applications of IVHS in Minnesota
The application of advanced technologies in a rural highway environment continues to gain an increasingly significant degree of exposure within the IVHS community. As part of the Minnesota...
Metering Strategies Applied to Signalized Networks
This paper describes the development and adaptation of ramp metering strategies for use in signalized networks. The strategies were developed in simulation environment using the micro-simulation...
Neural Networks in Freeway Control
Hierarchical control strategies have been proposed for freeway optimum control since the 1960's. Multi-layer hierarchical control optimizes system performance to determine a nominal metering...
A Neural Network Model for Data Fusion in ADVANCE
As current state of the art technology on smart cars and Smart Highways is processing, applications of advanced technologies in transportation engineering are becoming more and more important....
Traffic Mark Classification Using Artificial Neural Networks
A system using artificial neural networks to identify types of pavement marks and to rank their recognizabilities is proposed.The system stores different types of traffic marks; associates...
An Information Network for Route Guidance and Travel Guidance Systems
Automotive Route Guidance Systems are being marketed and tested around the world. These systems provide easy-to-follow, step-by-step instructions to guide a driver to any location in a...
Return to search