Citation

Lu J. Transp. Res. Rec. 1992; 1375: 26-36.

Copyright

(Copyright © 1992, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

unavailable

PMID

unavailable

Abstract

Characteristics of individual vehicle speed are important when evaluating the safety of the traveling public, traffic level of service, and driver behavior. Traditional research is based on analysis in the time or space domain, and its scope is sometimes limited because of lack of methodology or limitations of those domains.

RESULTS of a study using a maximum entropy spectral analysis approach to evaluate driver behavior related to driving speed under heavy and light traffic conditions, rainy and dry weather conditions, ramp impacts, and different driver operating characteristics are presented. Three test sites were chosen in the Albany area. Speed of a testing vehicle between two fixed points was recorded and transferred to spectral density functions. Impacts of traffic conditions, weather conditions, vehicles entering from ramps, and driver behavior can be identified from these spectral density characteristics. Basic concepts of maximum entropy spectral analysis and results of the field experiments are presented.

Language: en