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Research Project 0-5176. Conducted for. Conversion of Volunteer-Collected GPS Diary Data into Travel Time Performance Measures. Training Workshop on the Use of GPS-TDG Software. PC : Terry Keener PD : Michael Chamberlain PI : Chandra R. Bhat Barbara Parmenter. Researchers

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Conversion of Volunteer-Collected GPS Diary Data into Travel Time Performance Measures

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Conversion of volunteer collected gps diary data into travel time performance measures

Research Project 0-5176

Conducted for

Conversion of Volunteer-Collected GPS Diary Data into Travel Time Performance Measures

Training Workshop on the Use of GPS-TDG Software

PC : Terry Keener

PD : Michael Chamberlain

PI : Chandra R. Bhat

Barbara Parmenter

Researchers

Siva Srinivasan

Prabuddha Ghosh

Aruna Sivakumar

Aarti Kapur

Stacey Bricka


Conversion of volunteer collected gps diary data into travel time performance measures

Presentation Overview

  • Background

  • Research Objectives

  • Conceptual Structure of GPS-TDG

  • Software Overview

  • Tutorial using Sample Data from Laredo

    • Preprocessing GPS streams

    • Basic Analysis

    • Enhanced Analysis

    • Querying and Aggregation


Conversion of volunteer collected gps diary data into travel time performance measures

Household Travel Surveys

Data

Travel Demand Models

Understand Travel Needs: Generate Policy Actions

Evaluate Impacts of Policy Actions

Forecast Travel Demand

Background: Collecting Travel Data


Conversion of volunteer collected gps diary data into travel time performance measures

Survey Implementation Enhancements

PAPI

CATI

ETD / CASI

GPS-Enhanced

Background: Enhancing Travel Data Collection

Survey Design Enhancements

Trip diaries

Activity diaries

Time-use diaries


Conversion of volunteer collected gps diary data into travel time performance measures

Using GPS in Travel Surveys: Different Technologies

Our focus

In-Vehicle devices

Purely passive

Requiring additional active input

Hand-held devices


Conversion of volunteer collected gps diary data into travel time performance measures

Advantages of GPS-based Data Collection

  • Passive Data Collection

    • Reduces respondent burden

    • Address under-reporting of trips

    • Address item non-response

  • Increased Spatial and Temporal Accuracy

    • Destination locations for non-frequent trips

    • Trip times and time-of-day of travel are not estimates

  • Additional Data

    • Trips missed in manual reporting

    • Route choice

    • Travel speeds


Conversion of volunteer collected gps diary data into travel time performance measures

Issues with Passive-GPS Data Collection

  • Data is collected in the form of navigational streams

    • Requires operational definitions of “trips” and “stops”

    • Requires substantial processing for converting into conventional trip-diary format

    • Equipment capabilities/accuracy/errors impacts trip identification

  • Trip purpose information unknown

    • Requires supplemental user input (en-route or via prompted recall)

    • Use of regional land-use and respondent demographics data for imputing trip purposes

  • Vehicle occupancy unknown

    • Requires supplemental user input


Conversion of volunteer collected gps diary data into travel time performance measures

GPS-based Travel Surveys: Summary

  • Substantial potential for using in-vehicle GPS technologies in travel surveys to enhance quality and quantity of data

  • Shifts considerable burden from the respondent to the analyst: Need to convert navigational streams from GPS devices to trip sequences


Conversion of volunteer collected gps diary data into travel time performance measures

Research Objectives

Develop a GIS-based software to automate the process of converting the raw GPS navigational streams into the conventional trip-diary format

Develop algorithm to identify vehicle trip characteristics from GPS navigational streams

Implement the algorithm in GIS-based software to automate travel-diary extraction

Aggregate the derived travel diaries to produce inter-zonal trip-tables by trip purpose and time of day

Compute inter-zonal highway performance measures (i.e., travel times and speeds)


Conversion of volunteer collected gps diary data into travel time performance measures

Conceptual Overview of GPS-TDG


Conversion of volunteer collected gps diary data into travel time performance measures

GPS-TDG: Primary User Interface

Menu Bar

Preprocessing and help

Data Area

Display of derived travel diaries and query results

Command Area

Providing inputs, querying, and overall control


Conversion of volunteer collected gps diary data into travel time performance measures

Tutorial on Using GPS-TDG

  • View sample raw GPS streams

  • Preprocess GPS streams & view the results

  • Running the software in the Basic Analysis mode

    • Provide inputs

    • View and interpret results

  • Running the software in the Enhanced Analysis mode

    • Provide inputs

    • View and interpret results

  • Aggregation and Querying


Conversion of volunteer collected gps diary data into travel time performance measures

Sample Raw GPS Stream (GeoLogger)

RECTYPE,GPS_ID,HH_ID,Veh_ID,GMT_DATE,GMT_TIME,LOC_DATE,LOC_TIME,LAT_RAW,LONG_RAW,ELEV_RAW,VELOCITY,HEADING,HDOP,SATS

5,272,1005402,1,03/25/02,12:40:37,03/25/02,06:40:37,27.59705,-99.47217,00179,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:38,03/25/02,06:40:38,27.59705,-99.47217,00179,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:39,03/25/02,06:40:39,27.59705,-99.47217,00180,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:40,03/25/02,06:40:40,27.59705,-99.47217,00180,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:41,03/25/02,06:40:41,27.59705,-99.47217,00180,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:42,03/25/02,06:40:42,27.59705,-99.47217,00180,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:43,03/25/02,06:40:43,27.59705,-99.47218,00179,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:44,03/25/02,06:40:44,27.59705,-99.47218,00179,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:45,03/25/02,06:40:45,27.59707,-99.47218,00179,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:46,03/25/02,06:40:46,27.59707,-99.47218,00178,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:47,03/25/02,06:40:47,27.59707,-99.47218,00178,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:48,03/25/02,06:40:48,27.59707,-99.47218,00177,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:49,03/25/02,06:40:49,27.59707,-99.47220,00177,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:50,03/25/02,06:40:50,27.59707,-99.47220,00177,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:51,03/25/02,06:40:51,27.59707,-99.47220,00176,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:52,03/25/02,06:40:52,27.59707,-99.47220,00176,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:53,03/25/02,06:40:53,27.59707,-99.47220,00176,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:54,03/25/02,06:40:54,27.59707,-99.47220,00176,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:55,03/25/02,06:40:55,27.59707,-99.47220,00176,0.00,000,01.7,05

5,272,1005402,1,03/25/02,12:40:56,03/25/02,06:40:56,27.59707,-99.47220,00175,0.00,000,01.7,05


Conversion of volunteer collected gps diary data into travel time performance measures

Running the Preprocessor

Select the directory containing the raw streams

Select the target directory for writing the processed streams


Conversion of volunteer collected gps diary data into travel time performance measures

Sample Processed GPS Stream

HREC,HDOP=5.0,Min Satellites=3

GREC,272,1005402,1,1017060037000,27.59705,-99.47217,0.00,000,0

GREC,272,1005402,1,1017060038000,27.59705,-99.47217,0.00,000,0

GREC,272,1005402,1,1017060039000,27.59705,-99.47217,0.00,000,0

GREC,272,1005402,1,1017060040000,27.59705,-99.47217,0.00,000,0

GREC,272,1005402,1,1017060041000,27.59705,-99.47217,0.00,000,0

GREC,272,1005402,1,1017060042000,27.59705,-99.47217,0.00,000,0

GREC,272,1005402,1,1017060043000,27.59705,-99.47218,0.00,000,0

GREC,272,1005402,1,1017060044000,27.59705,-99.47218,0.00,000,0

GREC,272,1005402,1,1017060045000,27.59707,-99.47218,0.00,000,0

GREC,272,1005402,1,1017060046000,27.59707,-99.47218,0.00,000,0

GREC,272,1005402,1,1017060047000,27.59707,-99.47218,0.00,000,0

GREC,272,1005402,1,1017060048000,27.59707,-99.47218,0.00,000,0

GREC,272,1005402,1,1017060049000,27.59707,-99.47220,0.00,000,0

GREC,272,1005402,1,1017060050000,27.59707,-99.47220,0.00,000,0

GREC,272,1005402,1,1017060051000,27.59707,-99.47220,0.00,000,0

GREC,272,1005402,1,1017060052000,27.59707,-99.47220,0.00,000,0

GREC,272,1005402,1,1017060053000,27.59707,-99.47220,0.00,000,0

GREC,272,1005402,1,1017060054000,27.59707,-99.47220,0.00,000,0

GREC,272,1005402,1,1017060055000,27.59707,-99.47220,0.00,000,0


Conversion of volunteer collected gps diary data into travel time performance measures

Basic Analysis

Click button, navigate to directory containing pre-processed GPS streams and select

Click button, navigate to appropriate input files, and select

Leave blank to use default algorithm parameters

Provide file name to store the derived travel diaries

Click to run the trip detection after providing all inputs


Conversion of volunteer collected gps diary data into travel time performance measures

Basic Analysis: Results


Conversion of volunteer collected gps diary data into travel time performance measures

Enhanced Analysis

Click button, navigate to appropriate input files, and select

Additional inputs for enhanced analysis

Progress bar


Conversion of volunteer collected gps diary data into travel time performance measures

Enhanced Analysis: Results


Conversion of volunteer collected gps diary data into travel time performance measures

Querying and Aggregation: Options

Input: a file containing derived travel diaries

Aggregation criteria

Filtering criteria


Conversion of volunteer collected gps diary data into travel time performance measures

Querying and Aggregation: Results

Overall aggregation summary


Conversion of volunteer collected gps diary data into travel time performance measures

Querying and Aggregation: Results

Trip table and inter-zonal performance measures (over entire day and all trip purposes)


Conversion of volunteer collected gps diary data into travel time performance measures

Querying and Aggregation: Results

Trip table and inter-zonal performance measures (PM peak, all trip purposes)


Conversion of volunteer collected gps diary data into travel time performance measures

Querying and Aggregation: Results

Trip table and inter-zonal performance measures (entire day, home-based work trips)


Conversion of volunteer collected gps diary data into travel time performance measures

Thank You!


Conversion of volunteer collected gps diary data into travel time performance measures

Structure of GPRMC Streams


Conversion of volunteer collected gps diary data into travel time performance measures

Structure of GeoLogger Streams


Conversion of volunteer collected gps diary data into travel time performance measures

Algorithm Parameters


Conversion of volunteer collected gps diary data into travel time performance measures

Conceptual Overview of Process Module

Accept inputs

Read in data for first/next vehicle

Scan GPS stream until a potential trip is detected

Compute trip characteristics

Perform reasonableness checks

Potential trip passes checks

Potential trip fails checks

Write trip to output file

Check if end of GPS stream is reached for the current vehicle

No

Yes

Check if there are any more vehicles in the database

Yes

No

Trip diary extraction complete


Conversion of volunteer collected gps diary data into travel time performance measures

Attributes Characterizing Each Trip in the Derived Travel Diary Database


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