SMARTPHONE-BASED CROWD SOURCING OF BICYCLE AND PEDESTRIAN CONFLICT DATA FOR TRANSPORTATION SAFETY ASSESSMENT
Kawadgave, Rahul Ankushrao
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This thesis presents the idea of mobile application development that aims at data collection for transportation safety assessment using cloud-based database. At present, transportation safety assessment relies only on data available from crash, accident reports. In combination with this crash data, it is possible that conflict data can become a very influential performance measure for transportation safety assessment. A transportation conflict happens when two parties cross a path and one party must take an action to avoid a collision or a crash. Such conflicts can occur between different transportation elements or parties like vehicle drivers, bicyclists, pedestrians. This project helps to collect the conflict data by developing smartphone application. This application provides a way for crowed-sourced data collection. Nowadays bicyclists, pedestrians and vehicle drivers make use of various smartphone applications in the areas like transportation, navigation systems, maps, health and many more. It makes a smartphone application a straightforward and simple to make choice to collect crowed-sourced conflict data. Android application developed in this project provides simple user interface to select a location using Google Map view and then record a conflict data by answering to a simple survey. Data derived from submitted survey is stored on Amazon Web Server database for further analysis and use.