  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.
