PROJECT TITLE :

A Road Congestion Detection System Using Undedicated Mobile Phones

ABSTRACT:

Road congestion has been one in every of the foremost issues in most metropolises, and therefore, it is crucial to detect road congestions effectively and efficiently. Traditional solutions need the deployment of dedicated sensors on the roadside or on the vehicles, that suffer from high installation and maintenance costs and limited coverage. In this paper, we have a tendency to propose an alternate solution by exploiting the sensing ability of mobile phones. But, it is challenging to detect road congestions in an exceedingly daily-living environment using undedicated mobile phones whereas guaranteeing energy potency. The proposed system solely depends on the accelerometer and cellular signal, that are proven to be energy efficient as compared with different built-in sensors (e.g., GPS). It consists of 3 interactive modules: (a) an accelerometer-based vehicular movement detection module for detecting the periods when the movable user is traveling by vehicle; (b) a map-matching module wishing on the cellular signal for determining the traveled road segments; and (c) a road congestion estimation module for inferring the congestion degree of the traveled road segments. We have a tendency to evaluated the proposed system primarily based on real-world datasets, with promising results.