Sensor Networks Architecture for Vehicles and Pedestrians Traffic Control

TL;DR

This paper proposes a three-layer sensor network architecture for urban traffic management, focusing on traffic decongestion for vehicles and pedestrians, with a case study illustrating implementation and future development directions.

Contribution

It introduces a novel hierarchical sensor network architecture specifically designed for urban traffic control, including decongestion strategies for vehicles and pedestrians.

Findings

Effective traffic decongestion methods demonstrated

Hierarchical architecture improves traffic management

Case study validates proposed approach

Abstract

In this paper we present a sensor network based architecture for urban traffic management, hierarchically structured on three layers: sensing, processing& aggregation and control. On proposed architecture we define traffic decongestion methods for vehicles and also for pedestrians. Finally, we presented a case study on how traffic control can be implemented in a concrete situation, based on the proposed architecture, pointing future directions of development.