Citation

Cronje WB. Transp. Res. Rec. 1986; 1069: 73-79.

Copyright

(Copyright © 1986, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

unavailable

PMID

unavailable

Abstract

Simulation is very useful for generating traffic data. However, for validating a traffic model, field data are essential. Because of the random variation of the traffic arriving at signalized intersections, a large number of observations are necessary at a particular intersection. To obviate the collection of a large amount of data, the Bootstrap technique was applied to a limited amount of field data that were collected at three fixed-time signalized intersections. In addition, the data were supplemented by simulation to cover a wide range of cycle lengths, types of flow, degrees of saturation, and ratios of the variation in the mean of the number of arrivals per cycle. A recently developed traffic model based on a Markov process and a geometric probability distribution, the Modified Geometric Model (M Geom Model), was used to estimate the measures of effectiveness commonly used for optimization purposes, namely, delay and stops. Satisfactory results were obtained, indicating that a limited amount of field data is required for validating a traffic model.

Language: en

Keywords

ROADS AND STREETS - Intersections; STREET TRAFFIC CONTROL; PROBABILITY