Traffic Monitoring Using M2M Communication

TL;DR

This paper introduces an intelligent traffic monitoring system utilizing wireless vision sensors to capture real-time video, analyze traffic flow and vehicle speeds, and provide data to guide drivers and enforce speed limits.

Contribution

The paper presents a novel integrated system combining wireless vision sensors, real-time video processing, and data transmission for urban traffic management.

Findings

Effective real-time traffic flow measurement

Vehicle speed monitoring and database storage

Traffic state display for driver guidance

Abstract

This paper presents an intelligent traffic monitoring system using wireless vision sensor network that captures and processes the real-time video image to obtain the traffic flow rate and vehicle speeds along different urban roadways. This system will display the traffic states on the front roadways that can guide the drivers to select the right way and avoid potential traffic congestions. On the other hand, it will also monitor the vehicle speeds and store the vehicle details, for those breaking the roadway speed limits, in its database. The real-time traffic data is processed by the Personal Computer (PC) at the sub roadway station and the traffic flow rate data is transmitted to the main roadway station Arduino 3G via email, where the data is extracted and traffic flow rate displayed.