Role of microsimulation in evaluating intelligent transportation systems applications in urban transportation

Abstract

Given the complexity and novel aspects of intelligent transportation system (ITS)-based measures for transportation network improvements, traditional macroscopic travel analysis models are of limited use for assessing project benefits and costs. In order to fully capture the operational-level impacts of such technologies, a microsimulation approach is required. This paper describes the use of microsimulation techniques for studying the relative effectiveness of alternatives that include ITS applications. To illustrate the methodology, a case study involving the transportation network in Ottawa, Canada is presented. The paper is divided into five parts. First, mobility issues and the need for innovative solutions are introduced. Second, the transportation network in Ottawa is described and potential initiatives for addressing traffic congestion are noted, including demand reduction, freeway capacity expansion, and selected ITS measures. Third, the microsimulation-based modeling methodology is defined which was used to test improvement scenarios. Results from the various micro-simulation runs are then presented in terms of selected measures-of-effectiveness. Conclusions drawn from the case study are presented in the final section.