Cyber-Physical Spatial Decision Support System for Road Traffic Management

Nowadays, most of growing cities in the world are witnessing an unprecedented increase in road traffic congestion because of population mobility and sporadic events like accidents and natural disasters. As these congestions generally result in substantial casualties and economic losses, tremendous investments are being spent on efficient solutions for road traffic management. Abundant works have proposed solutions to help road traffic stakeholders in making decisions about ongoing events at the individual and collective levels. However, not enough success is yet achieved when it comes to collecting, processing, and delivering the right data, from the right location, at the right time to the right user. We argue in this paper that the divide should be effectively closed between a real world where road traffic and its related events are happening and a world where decisions are being taken. To this end, we propose to use the emergent technologies of Cyber Physical Systems along with multi-agent system mechanisms for additional autonomy, flexibility, and control of the different aspects of the highly dynamic and uncertain field of road traffic management. Within this scope, we propose an architecture of a Cyber Physical Spatial Decision Support System (CPSDSS) through which we explain how various road traffic challenges could be monitored and controlled