01037954

Monograph

This Transportation Research Record contains 14 papers on the subject of artificial intelligence and advanced computing applications. Specific topics discussed include a tracking system for the automated inventory of roadway signs, travel time estimation, prediction of annual average daily traffic for nonfreeway facilities, predicting directional design hourly volume, forecasting shared-use vehicle trips, sensor- and image-based technologies for automated pavement condition surveys, representing uncertainty in determining level of service, compressing TransGuide intelligent transportation system data, intersection accident detection, real-time detection of crash-prone conditions, decision support in real-time traffic management, predicting urban arterial travel time, improving decision reliability based on travel time, and a method for speed estimation using single loop detector data.

English

133p

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099773

Print

Figures; References; Tables

Annual average daily traffic; Arterial highways; Artificial intelligence; Automatic crash notification; Automation; Condition surveys; Data compression; Decision support systems; Design hourly volume; Estimating; Forecasting; High risk locations; Inventory; Level of service; Loop detectors; Mathematical prediction; Real time control; Traffic control; Traffic signs; Travel time; Uncertainty

TransGuide (Program : San Antonio, Texas)

Decision reliability; Shared use vehicle trips; Speed estimates; Tracking systems (Management)

Data and Information Technology; Freight Transportation; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Dec 3 2006 4:01PM

• Application of Genetic Neural Networks to Real-Time Intersection Accident Detection Using Acoustic Signals
• Applications of Artificial Intelligence Paradigms to Decision Support in Real-Time Traffic Management
• Forecasting Shared-Use Vehicle Trips with Neural Networks and Support Vector Machines
• Frameworks to Represent Uncertainty When Level of Service Is Determined
• Improving the Prediction of Annual Average Daily Traffic for Nonfreeway Facilities by Applying a Spatial Statistical Method
• Incorporating Wavelet Decomposition Technique to Compress TransGuide Intelligent Transportation System Data
• Kalman Filter-Based Tracking System for Automated Inventory of Roadway Signs
• Moments Analysis for Improving Decision Reliability Based on Travel Time
• Performance Evaluation of Sensor- and Image-Based Technologies for Automated Pavement Condition Surveys
• Predicting Directional Design Hourly Volume from Statutory Holiday Traffic
• Predicting Urban Arterial Travel Time with State-Space Neural Networks and Kalman Filters
• Real-Time Detection of Crash-Prone Conditions at Freeway High-Crash Locations
• Travel Time Estimation with Correlation Analysis of Single-Loop Detector Data
• Unscented Kalman Filter Method for Speed Estimation Using Single Loop Detector Data