Evaluation of mobility impact on urban work zones using statistical models

Abstract

This work correlated the detailed work zone location and time data from the WisLCS system with the five-min inductive loop detector data. One-sample percentile value test and two-sample Kolmogorov-Smirnov (K-S) test were applied to compare the speed and flow characteristics between work zone and non-work zone conditions. Furthermore, we analyzed the mobility characteristics of freeway work zones within the urban area of Milwaukee, WI, USA. More than 50% of investigated work zones have experienced speed reduction and 15%−30% is necessary reduced volumes. Speed reduction was more significant within and at the downstream of work zones than at the upstream.

Keywords

ITS data / mobility impact / work zone / statistical model

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