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ADUS Cross-Cutting Studies - Table of Contents

Final Report

 

Cross-Cutting Studies and State-of-the-Practice Reviews:

 

Archive and Use of ITS-Generated Data

 

 

April 30, 2002

 

Prepared for

Federal Highway Administration

Federal Transit Administration

U.S. Department of Transportation

 

Prepared by

 

P. Hu

B. Boundy

Tykey Truett

Edmond Chang

Steve Gordon

 

 

Center for Transportation Analysis

Oak Ridge National Laboratory

Oak Ridge, Tennessee 37831-6073

Managed by UT-Battelle LLC for the U.S. Department of Energy

under Contract No. DE-AC05-00OR22725


Table Of Contents

1. INTRODUCTION 1.1
   1.1 BACKGROUND 1.1
   1.2 PROJECT OBJECTIVES 1.2
   1.3 REPORT ORGANIZATION 1.3
2. BARRIERS TO AND BENEFITS OF ADUS 2.1
   2.1 BARRIERS 2.1
   2.2 BENEFITS 2.10
3. STUDY METHODOLOGY AND INFORMATION SOURCES USED 3.1
   3.1 STUDY METHODOLOGY 3.1
   3.2 INFORMATION SOURCES 3.2
4. OPERATIONS AND MAINTENANCE APPLICATIONS 4.1
   4.1 STATE-OF-THE-PRACTICE REVIEW 4.2
   4.2 CASE STUDIES OF OPERATIONS AND MAINTENANCE APPLICATIONS    4.11
   4.3 BARRIERS AND SOLUTIONS 4.30
   4.4 OPPORTUNITIES 4.31
5. PLANNING APPLICATIONS 5.1
   5.1 STATE-OF-THE-PRACTICE REVIEW 5.1
   5.2 CASE STUDIES OF PLANNING APPLICATIONS 5.8
   5.3 BARRIERS AND SOLUTIONS 5.26
   5.4 POTENTIAL OF ARCHIVED DATA 5.27
6. HIGHWAY SAFETY APPLICATIONS 6.1
   6.1 STATE-OF-THE-PRACTICE REVIEW 6.1
   6.2 CASE STUDIES OF HIGHWAY SAFETY APPLICATIONS 6.12
  

6.3 BARRIERS TO ARCHIVE, SHARE AND ANALYZE DATA PERTINENT TO HIGHWAY SAFETY

   6.22
   6.4 POTENTIAL FOR HIGHWAY SAFETY APPLICATIONS 6.27
   6.5 OPPORTUNITIES 6.37
7. TRANSIT APPLICATIONS 7.1
   7.1 STATE-OF-THE-PRACTICE REVIEW 7.1
7.2 CASE STUDIES OF TRANSIT APPLICATIONS 7.5
   7.3 BARRIERS AND SOLUTIONS 7.22
   7.4 OPPORTUNITIES 7.25
8. CONCLUDING SUMMARY 8.1
8.1 BENEFITS OF ADUS 8.1
8.2 BARRIERS TO ADUS 8.3
8.3 OPPORTUNITIES 8.9

List of Figures

 

2.1

An Example Overview of An Integrated Data System

2.6

2.2

An Example of Unacceptable ITS-Generated Loop Detector Data

2.7

3.1

ADUS Issues to Be Addressed in Phone Interviews

3.10

4.1

Freeway Data Generation and Archiving

4.4

4.2

Techniques to Generate Traffic Data

4.5

4.3

Number of Agencies Responded to Freeway Data Requests by Requesting Institute

4.9

4.4

Archived Freeway Data Usage 1999 and 2000 ITS Deployment Tracking Survey

4.9

4.5

Data on Traffic Signal and on Emergency Management

4.11

4.6

An Example of Archived Freeway Data from NaviGAtor

4.16

4.7

Example of Archived VMS Message

 4.17

4.8

Color Camera Priority Control Hierarchy Atlanta’s NaviGAtor System

 4.20

4.9

Area Coverage of CalTrans’ District 7

4.22

4.10

 LADOT’s ATSAC Coverage

 4.23

4.11

Examples of Incident Report Posted on the Web

4.25

4.12

An Example of CHP Traffic Incident Web Page

 4.26

4.13

Sample Data File of Archived Houston Weather Data

4.30

5.1

Data Generated and Archived from Freeway Management System

5.3

5.2

Techniques to Generate Traffic Data

5.4

5.3

Number of Agencies Responded to Freeway Data Request by Requesting Institute

5.7

5.4

Archived Freeway Data Usage 1999 and 2000 ITS Deployment Tracking Surveys

5.8

5.5

An Example of Archived Freeway Data from NaviGAtor

5.14

5.6

Examples of Archived VMS Message

5.15

5.7

Color Camera Priority Control Hierarchy Atlanta’s NaviGAtor System

5.17

5.8

LADOT’s ATSAC Coverage

 5.19

5.9

Examples of Incident Report Posted on the Web

5.21

5.10

An Example of CHP Traffic Incident Web Page

 5.22

5.11

Area Coverage of CalTrans’ District 7

5.24

6.1

Freeway Data Generate and Archiving

6.3

6.2

Techniques to Generating Traffic Data

6.4

6.3

Number of Agencies Responded to Freeway Data Request by Requesting Institute

6.8

6.4

Archived Freeway Data Usage 1999 and 2000 ITS Deployment Tracking Surveys

6.9

6.5

Data on Traffic Signal and on Emergency Management

6.10

6.6

Capabilities/Technologies Deployed at Highway Rail Intersections in 1999

6.11

6.7

TraCS Mobile Unit

6.14

6.8

Archived Images from Red Light Enforcement Camera

6.26

7.1

Selected Transit Data Collected and Archived

7.3

7.2

Agencies That Have (or Plan to Have) Equipment Installed

7.4

7.3

Uses of ITS-Generated Transit Data

7.6

7.4

Coverage Area of the King County Metro (KCM) and Comparisons With Other Transit Agencies in the Same Area of Washington State

7.8

7.5

Tri-Met Service Area

.16

7.6

Example of Tri-Met Metadata File

7.19

7.7

A Small Portion of the Archived BDS Data

7.20

7.8

A Sample of On-Time Performance Report From Tri-Met BDS

7.21


List of Tables

 

2.1

ADUS Barriers at Different Phases

2.3

3.1

Seventy-Eight Metropolitan Areas in the Deployment Tracking Survey

3.4

3.2

Proposed Case Studies and the Pertinent Topical Areas

3.8

4.1

Number of Agencies That Generated and/or Archived Freeway Traffic Data

4.3

4.2

Distribution of Agencies by Number of Data Elements Generated and Number of Data Elements Archived 1999 ITS Deployment Tracking Survey

4.7

4.3

Distribution of Agencies by Number of Data Elements Generated and Number of Data Elements Archived 2000 ITS Deployment Tracking Survey

4.8

5.1

Number of Agencies That Generated and/or Archived Traffic Data 1999 and 2000 ITS Deployment Tracking Survey

5.2

5.2

Distribution of Agencies by Number of Data Elements Generated and Number of Data Elements Archived 1999 ITS Deployment Tracking Survey

5.5

5.3

Distribution of Agencies by Number of Data Elements Generated and Number of Data Elements Archived 2000 ITS Deployment Tracking Survey

5.6

5.4

Potential of Archived Freeway and Arterial Traffic Data

5.28

6.1

Number of Agencies That Generate and/or Archive Freeway Traffic Data Pertinent to Highway Safety 1999 and 2000 ITS Deployment Tracking Surveys

6.5

6.2

Distribution of Agencies by Number of Data Elements Generated and Number of Data Elements Archived: 1999 ITS Deployment Tracking Survey

6.6

6.3

Distribution of Agencies by Number of Data Elements Generated and Number of Data Elements Archived: 2000 ITS Deployment Tracking Survey

6.7

6.4

Potential of Archived Data for Highway Safety Applications

6.31

7.1

Distribution of Agencies by Number of Data Elements Generated and Number of Data Elements Archived: 1999 ITS Deployment Tracking Survey

7.2

7.2

King County Metro (KCM) Archived Transit Data Usage

7.12

7.3

Potential of Archived ITS-Generated Transit Data

7.26

8.1

Proposed Opportunities by Application

8.10


Acronyms

ADUS

Archived Data User Service

AFC

Automatic Fare Collection

APC

Automatic Passenger Counts

APTS

Advanced Public Transportation System

ATIS

Advanced Traveler Information System

ATSAC

Automated Traffic Surveillance and Control

AVL

Automatic Vehicle Location

BDS

Bus Dispatch System

CAD

Computer Aided Dispatch

CapWIN

Capitol Wireless Integrated Network

CD

Compact Disc

CIRF

Complaint/Incident Report Form

CRB

California Research Board

CVIEW

Commercial Vehicle Information Exchange Window

CVISN

Commercial Vehicle Information Systems and Networks

CVO

Commercial Vehicle Operations

DOT

Department of Transportation

DSI

Data Source Interface

DVRS

 Digital Video Recording System

ECCO

 Electronic Citation Component

EDR

 Event Data Recorder

FARS

 Fatality Analysis Reporting System

FHWA

 Federal Highway Administration

FMS 

 Fleet Management System

FPS

 Automatic Fare Payment System

FOT

 Field Operational Test

HPMS

 Highway Performance Monitoring System

ID

 Identifier

IFTA

 International Fuel Tax Agreement

IRP

 International Registration Plan

IRS

 Internal Revenue Service

ITS 

  Intelligent Transportation System

KCM

 King County Metro

LADOT

 Los Angeles DOT

MARS

 Mobile Accident Reporting System

MOWI

 Mobile Operating While Intoxicated

NCHRP

 National Cooperative Highway

NHTSA

 National Highway Traffic Safety Administration

RLR

 Red Light Running

SAFER

 Safety and Fitness Electronic Records System

SAPD

 San Antonio Police Department

TMC

 Traffic Management Center

TRIP

 Travel and Recreational Information Program

TSP

 Transit Signal Priority

VSIS

Vehicle Safety Inspection System


Acknowledgements

            The authors of this ADUS Cross Cutting Study would like to express their gratitude to the many individuals who have made this study possible by providing technical information, background and insight as well as samples of archived data. We would like to thank: