Graduation Semester and Year

2016

Language

English

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering

Department

Electrical Engineering

First Advisor

Taylor Johnson

Abstract

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.

Keywords

Smartphone application, Transportation safety, Public safety, Bicycle and pedestrian conflict data, Crowdsourcing, Cyber-physical systems

Disciplines

Electrical and Computer Engineering | Engineering

Comments

Degree granted by The University of Texas at Arlington

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