Abstract

We propose a Bayesian decision analysis framework for the evaluation of automatic incident detection (AID) tools in intelligent transportation systems. The proposed framework can be used by decision makers for financial analysis of AID devices, identify appropriate AID device locations and develop an AID device replacement schedule.

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