Today the arterials play a key role in urban transportation. However, they experience a severe congestion with the mixed traffic on the signalized intersections regardless of the peak periods. Thus, the purpose of this study is to identify the real-time cycle-based traffic characteristics, construct the delay predictive models (DPM) depending on the time-periods and finally determine the ranking of the factors affecting the delay on the signalized intersections in urban area.
From the analyses of the real-time traffic characteristics, the construction and verification of delay models, and the determination of the ranking in the factors on the delay models, the following results were obtained :
ⅰ) Traffic flow did not show a distinct difference depending on the time periods. Rather, more traffic flows were concentrated on the signalized intersections in the non-peak periods when compared with the on-peak periods.
ⅱ) The volume-to-capacity (v/c) ratio was proved to be a key variable in delay model construction on the signalized intersection. Also, the variables used in the model construction showed the appropriateness in the travel characteristics on the signalized intersections.
ⅲ) Most of the delay models were shown to have a higher explanatory power for the delay predictive model construction and verification with the high R² values.
ⅳ) The left-turn link showed a key factor affecting delay on the 3-leg signalized intersections, but the thru link showed a key factor affecting delay on the 4-leg intersections. Also, the passenger car showed a key factor affecting delay on the 3-leg or 4-leg signalized intersections.