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...
Arterial Street Incident Detection Using Multiple Data Sources: Plans for ADVANCE
An Advanced Traveler Information System demonstration called ADVANCE is being prepared for implementation on an arterial street network in the suburbs of Chicago. This paper will describe...
Linking Hydrologic and Hydraulic Routing Models in Low Relief Basins of South Florida
Combined use of hydrologic and hydraulic routing models to analyze the rainfall-runoff processes during a storm event is a common practice. In this approach, a hydrologic model is employed...
Artificial Neural Networks as Unit Hydrograph Applications
A simple artificial neural network is shown to have the same structure as the application of a unit hydrograph. An artificial neural network representing such an application was constructed,...
Predicting Runoff from Rainfall Using Neural Networks
This paper shows the modeling technique, neural nets, to be successful in predicting the hydrograph of a storm from the hyetographs of storms on the same basin. A root mean square error...
Evaluating and Guiding Weather Modification Efforts with Advanced Three-Dimensional Numerical Models
Several recent developments have expanded our capabilities to understand and document precipitation processes. One of these developments is the recent advances in computer hardware and...
A New Look at the Potential of Hygroscopic Seeding in Summertime Convective Clouds
Hygroscopic seeding was conducted in the sixties and early seventies in the USA, but since then, most cloud seeding efforts have used glaciogenic seeding materials, usually silver iodide...
Estimating Pier Scour with Artificial Neural Networks
This paper describes the use of artificial neural network (ANN) analysis as a computing device for estimating scour at bridge piers. The neural network presented here is based on 515 sets...
An Artificial Neural Network for Computing Sediment Transport
This paper describes the use of artificial neural network (ANN) analysis as a computing device for estimating sediment transport in open channels. The application was developed from 1,455...
An Improved Method for Measuring System Performance of Hydraulic Infrastructure Systems
Due to the public awareness of the importance of functioning of hydraulic infrastructure systems and the serious consequences caused by their failure, many researches were undertaken to...
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