Web Maps & Electric Vehicles

ESRI Conference 2013

Transcript

1. Web Maps & Electric Vehicles Daniel Scrivano Sonali Dujari, Michael Nicholas, Gil Tal, Justin Woodjack Plug-In Hybrid Electric Vehicle Research Center, UC Davis
2. Plug-In Hybrid Electric Vehicle Research Center, UC Davis http://phev.ucdavis.edu
3. Problem: EVs require infrastructure • chargers are not ubiquitous
4. Solution: LINUX
5. Problem: Acquiring EV owners info Paper surveys ◦ a hassle ◦ errors during transcription ◦ geocoding errors due to transcription errors ◦ difficult for survey takers to visualize driving trip diaries based upon street addresses
6. Solution: Web Maps • everyone loves maps! • helps users visualize their driving habits • provides instant feedback • visualizes accurate range issues • eliminates most geocoding errors • increases the accuracy of the dataset
7. The LAMP Web Stack Linux • Apache • MySql • Php
8. The Modern Web Stack Linux • Nginx • Php-fpm • MongoDB
9. MongoDB • noSql • schemaless Pros ◦ good performance ◦ significantly less time to develop ◦ javascript/json based ◦ simple Cons ◦ not as featureful as mysql (pro?)
10. Developing with mongodb The database that moved in next door • Getting and setting data is effortless
11. MySql's perspective of web chaos
12. Mongo's perspective
24. Thank You Daniel Scrivano djscrivano@ucdavis.edu PH&EV Research Center UC Davis