Towards an Intelligent control system for public transport traffic efficiency KPIs optimization

Abstract

The urban public transport systems deal with a dynamic environment and evolve over time. Frequently, we dispose of a lot of correlated information that is not well exploited to improve the public transport quality service, especially in perturbation cases. The quality service should be measured in terms of public transport key performance indicator (KPI). In fact, in the absence of a set of widely accepted performance measures and transferable methodologies, it is very difficult for public transport to objectively assess the effects of a specific control system. Unfortunately, most existing control systems provide solutions without measuring its quality based on the common framework standard. Therefore, their applicability is restricted only to specific performance indicators. This paper sets the context of performance measurement of public traffic management and presents a multi-agent control system of public transportation. Our aim is to identify the control action by optimizing the performance of the service quality of the public transportation based on the KPIs. The first validations done by simulating real scenarios that happened in Abu Dhabi transport system show the efficiency of the proposed model.

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