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
   

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2. Plug-In Hybrid Electric Vehicle
   Research Center, UC Davis
   http://phev.ucdavis.edu
   

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3. Problem: EVs require infrastructure
   ● chargers are not ubiquitous
   

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4. Solution: LINUX
   

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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
   

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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
   

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7. The LAMP Web Stack
   Linux
   ● Apache
   ● MySql
   ● Php
   

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8. The Modern Web Stack
   Linux
   ● Nginx
   ● Php-fpm
   ● MongoDB
   

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9. MongoDB
   ● noSql
   ● schemaless
   Pros
   ○ good performance
   ○ significantly less time
   to develop
   ○ javascript/json based
   ○ simple
   Cons
   ○ not as featureful as mysql (pro?)
   

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10. Developing with mongodb
    The database that moved in next door
    ● Getting and setting
    data is effortless
    

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11. MySql's perspective of web chaos
    

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12. Mongo's perspective
    

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

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