artistic rendering of Bryan Bryan Nehl
MSE 2012
Twitter: @k0emt
My Blog: soloso.blogspot.com
Skimmer Agent Blog: skimmeragent.blogspot.com
CIS 748 Journal: cis748journal.blogspot.com

My MSE project takes a Multiagent System approach to the Control of Traffic Signals (MACTS). In additional to control of the local intersection there will be a configuration which incorporates near neighbor coordination. The system will be designed with the intent of utilizing distributed cooperating agents. The system goals include minimizing the number of stops, reducing the amount of wait time, reducing travel time, increasing the average speed of travel, reducing fuel consumption and reducing the production of hydrocarbon emissions.

Key terms: Computational Traffic Science, Intelligent Transportation Science, Adaptive Traffic Control Systems, Multi-Agent Systems, Genetic Algorithms, Mesh Network, Small Worlds
Key component: Simulation of Urban MObility SUMO
Key tools: Python 2.7, RabbitMQ, MongoDB
Development environment: PyCharm, Pika, PyMongo, PEP8, PyMetrics, Coverage.py
Documentation/Project Management:Google Docs, GanttProject, Microsoft Word and OneNote

MACTS git repo on my personal github share

deprecated repositories
My gForge MSE project :: git repository information
My original MSE git repository

Project Documentation
Inception Elaboration Implementation
Vision Document
Software Quality Assurance Plan
Project Plan
Project Gantt
Presentation

Risk Log
Spikes
Time Log
Zip with files and source

Python coding standard, metrics and test coverage
Vision Document
Project Plan
Project Gantt
Architecture Design
Test Plan
Formal Technical Inspection Checklist
Presentation

Risk Log
Spikes
Time Log
Zip with files and source
Architecture Design
Vision Document
Formal Technical Inspection Checklist
Tech Inspection Letter 1
Tech Inspection Letter 2
Action Items from Elaboration
Component Design Doc
User Manual
Assessment Eval
Project Eval
References

Time Log
Zip with files and source
Risk Management
git notes
Enron email database Python and MongoDB

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