Joint Prediction of Queuing Manners Using Mobile Phones

Nowadays queues are everywhere. Queue is nothing but a line of people wait. People usually waiting for long time in different places such as supermarkets, railway reservation counters and any other bill payment counters. If it is possible to detect the status of queue including waiting time and number of people ahead, it will definitely advantageous to both users and business. The proposed work is presenting a queue status predicting system for assisting people in the waiting line and the management. The system is having smart phones that are carried by the customers, and a remote server which collects the sensor values and processes it for finding waiting time information. If the QueueSense application is able to recognize queuing behavior in different scenarios then it will be useful for our daily life. A classifier is built on the smart phone to distinguish people who are queuing or nonqueuing. The QueueSense application performance can be evaluated using the collected information from various real world queuing patterns taken within a specific time period. I implemented a QueueSense application, using smart phones and a remote server. Also, conducted real-world demonstrations in our campus. After implementation and evaluation, it is stated that this QueueSense application is able to detect status information of waiting lines that are common in our daily lives.