Year: 1979
Type: dissertation
Abstract: This study investigates the stochastic and dynamic nature of freeway traffic time series data using the analysis techniques described by Box and Jenkins.The objectives of this investigation are to develop an improved filtering and prediction model for use with computer-supervised freeway suirveillance and control systems, and to propose computer algor ithms for detecting accidents and other capacity-reducing incidents which are typical occurrences on urban freeways.The analysis was based on surveillance data recorded at the Los Angeles, Minneapolis, and Detroit freeway systems during the afternoon peak periods.
Author: Mohammed S. Ahmed
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
Funder: University of Oklahoma
OpenAlex ID: W2579487356