TESTING DELAY MODELS WITH FIELD DATA FOR FOUR-WAY, STOP SIGN-CONTROLLED INTERSECTIONS
Mark S. Zion, George List, Charles Manning
Abstract
Mark S. Zion, George List, Charles Manning
Abstract
Four-way, stop sign-controlled intersections are a relatively common phenomenon, especially in urban networks, yet little analysis has been devoted to determining their capacity and delay characteristics. This paper presents the results of new field studies and compares data collected from two recent delay models. Generally, findings are that delay increases as the intersecting volumes increase; intersections with balanced volumes have lower delays than those without; and the percentage of left turns has a noticeable effect on delay. Statistical analyses suggest that one of the two models considered in this research may provide satisfactory delay estimates.
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Four-way, stop sign-controlled intersections are a relatively common phenomenon, especially in urban networks, yet little analysis has been devoted to determining their capacity and delay characteristics. This paper presents the results of new field studies and compares data collected from two recent delay models. Generally, findings are that delay increases as the intersecting volumes increase; intersections with balanced volumes have lower delays than those without; and the percentage of left turns has a noticeable effect on delay. Statistical analyses suggest that one of the two models considered in this research may provide satisfactory delay estimates.
Key concepts: Sign (mathematics), Field (mathematics), Retard, Computer science, Econometrics, Statistics, Mathematics, Psychology