Web Maps & Electric Vehicles

Web Maps & Electric Vehicles

ESRI Conference 2013

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Daniel Scrivano

July 09, 2013
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  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

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  24. Thank You Daniel Scrivano djscrivano@ucdavis.edu PH&EV Research Center UC Davis