PEMAP: An intelligence-based framework for post-event management of transportation systems

In recent years, transportation systems and communities have faced major disruptions, such as heavy traffic, accidents, natural disasters, and malicious acts. Managing these disruptions and their impact on transportation systems is crucial. This paper proposes PEMAP, Post-Event MAnagement of transPortation systems, an intelligence-based framework for redirecting traffic after disturbances. PEMAP aims to ensure the swift recovery of network services despite various disruptions, benefiting transportation systems and communities. It is composed of four phases: indices selection and evaluation, criticality index calculation, diversion route decision making, and decision application. Relevant indices are evaluated and calculated into one criticality index using microscopic simulation. An intelligent model for vehicular re-routing, considering the criticality index, is then introduced. In the last phase, Vehicular ad-hoc networks (VANETs) is used to facilitate communication and implementation of rerouting decisions. The proposed implementation uses the Veins framework along with Python and C++ programming languages.