Electric Trip Diary

31.01.201431.01.2014

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku

Aalto-University, Transportation Engineering

Electric Trip Diary

• Developed by the AALTO-university, Transportation Eng.

• Collecting data of actual traveling behavior (not plans)

• Important input for number of traffic planning applications

– The effect of electric vehicles, DRT, etc. on traveling behavior

– Before and after studies

• Based on number of volunteers• Based on number of volunteers

– Replacing the tedious and error prone method with papers

• The application detects position, speed, mode of transport

• The user provides the purpose of the trip by easy UI

• The data collection is done once per trip

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering

Electric Trip Diary

Database

• Application

• GeoJSON

• Object

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering

Key Technologies used

• Operating system: Android

• Programming: Java, Javascripts

• Database: Document based, MongDB• Database: Document based, MongDB

• Maps: Openlayers

• Communcation: GeoJSON

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering

Trip chains from sensor observations

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering

At the start of the trip

• Start the application

• Press Start logging

• Start your trip

• Use your phone normally during your trip

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering

At the end of the trip

• Press Stop logging

• Confirm your modal choices

• Press Confirm chosen

– The application sends your

trip data to the database

• Close the application• Close the application

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering

Correcting data

• This is needed only if the mode

of transport was not in the list to

be confirmed

• Choose the wrong mode

• Enter correct mode

• Enter line number if applicable• Enter line number if applicable

Examining the data through web-browser

Green=walkingAmber=cyclingBlue=Vehicle

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering

Examining the data, including public transport

Line colors:Green=walkingAmber=cyclingBrown=CarRed=Train

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering

Red=TrainBlue=Bus

Examining the data: time selection

Iisakki Kosonen, Hannes Keskikiikonen, Antero Alku, Aalto-University, Transportation Engineering