Abstract
Abstract In transportation simulation, the prediction accuracy of travel times on road segments can have substantial impacts on the simulation outcomes. The travel times are impacted, among other things, by traffic signals. Modeling traffic signals is not straightforward in large scale simulations, especially when data on their characteristics is not available. Due to this, in most of the applications using the agent-based transport simulation software MATSim, traffic signals are not explicitly modeled. This paper addresses this issue and proposes a method based on Webster’s formula to compute delays experienced by motorists at traffic-signaled intersections without having access to the actual traffic signal data. Within this study, results regarding the imputation of road flow capacities and estimating the impacts of congestion and crossroads on travel times will be presented and investigated. Evidence shows that Webster’s approach can substantially improve the quality of the travel time estimates for the regional model of Zurich, Switzerland.
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