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dc.contributor.advisor | Johnson, Taylor | |
dc.creator | Kawadgave, Rahul Ankushrao | |
dc.date.accessioned | 2016-10-25T19:53:18Z | |
dc.date.available | 2016-10-25T19:53:18Z | |
dc.date.created | 2016-08 | |
dc.date.issued | 2016-08-15 | |
dc.date.submitted | August 2016 | |
dc.identifier.uri | http://hdl.handle.net/10106/26140 | |
dc.description.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. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.subject | Smartphone application | |
dc.subject | Transportation safety | |
dc.subject | Public safety | |
dc.subject | Bicycle and pedestrian conflict data | |
dc.subject | Crowdsourcing | |
dc.subject | Cyber-physical systems | |
dc.title | SMARTPHONE-BASED CROWD SOURCING OF BICYCLE AND PEDESTRIAN CONFLICT DATA FOR TRANSPORTATION SAFETY ASSESSMENT | |
dc.type | Thesis | |
dc.degree.department | Electrical Engineering | |
dc.degree.name | Master of Science in Electrical Engineering | |
dc.date.updated | 2016-10-25T19:54:22Z | |
thesis.degree.department | Electrical Engineering | |
thesis.degree.grantor | The University of Texas at Arlington | |
thesis.degree.level | Masters | |
thesis.degree.name | Master of Science in Electrical Engineering | |
dc.type.material | text | |
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