Mobile Sensing for Multipurpose Applications in Transportation

TL;DR

This paper presents a smartphone app with integrated sensors for cost-effective transportation data collection, capable of operating in low-internet areas, and validated through highway data analysis for pavement and driver behavior insights.

Contribution

The study introduces a novel multi-module smartphone application for transportation data collection that functions effectively without relying heavily on internet connectivity.

Findings

Collected high-quality data on highway conditions and driver behavior.

The app successfully calculates the International Roughness Index (IRI).

Data collection is feasible in areas with limited internet access.

Abstract

Routine and consistent data collection is required to address contemporary transportation issues.The cost of data collection increases significantly when sophisticated machines are used to collect data. Due to this constraint, State Departments of Transportation struggles to collect consistent data for analyzing and resolving transportation problems in a timely manner. Recent advancements in the sensors integrated into smartphones have resulted in a more affordable method of data collection.The primary objective of this study is to develop and implement a smartphone application for data collection.The currently designed app consists of three major modules: a frontend graphical user interface (GUI), a sensor module, and a backend module. While the frontend user interface enables interaction with the app, the sensor modules collect relevant data such as video and accelerometer readings while the app is in use. The backend, on the other hand, is made up of firebase storage, which is used to store the gathered data.In comparison to other developed apps for collecting pavement information, this current app is not overly reliant on the internet enabling the app to be used in areas of restricted internet access.The developed application was evaluated by collecting data on the i70W highway connecting Columbia, Missouri, and Kansas City, Missouri.The data was analyzed for a variety of purposes, including calculating the International Roughness Index (IRI), identifying pavement distresses, and understanding driver's behaviour and environment .The results of the application indicate that the data collected by the app is of high quality.