atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Pitu Mirchandani

Professor and Director, ATLAS Research CenterSystems and Industrial Engineering Department

The University of Arizona, Tucson, Arizona 85721

September, 2002

TRANSPORTATION+ ITS

+ REMOTE SENSING

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

• Transportation systems with ITS and Remote Sensing

• Transportation systems with ITS, especially sensor and communication technologies

• Provide a framework to discuss transportation systems

• Transportation service systems before ITS

OVERVIEW OF TALK

We will discuss:

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA TRANSPORTATION PLANNING

(before ITS)

MANUAL SURVEYS& TRAFFIC COUNTS

Transport Planning& Network Design

MANUAL SURVEYS& TRAFFIC COUNTS

Transport Planning& Network design

TRANSPORTATION PLANNING

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

DOWNLOADOF TIMING PLANS

OPTIMIZATION/SIMULATIONMODELS

TRANSPORTATION MANAGEMENT(before ITS)

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

MANUAL SURVEYS& TRAFFIC COUNTS

Transport Planning& Network design

TRANSPORTATION PLANNING

DOWNLOADOF TIMING PLANS

OPTIMIZATION/SIMULATIONMODELS

TRANSPORTATION MANAGEMENT

BEFORE ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

MAP

AN INCIDENT AT I6TH & CONN.AVE

TRAVELER INFORMATION(before ITS)

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

MANUAL SURVEYS& TRAFFIC COUNTS

Transport Planning& Network design DOWNLOAD

OF TIMING PLANS

OPTIMIZATION/SIMULATIONMODELS

MAP

AN INCIDENT AT I6TH & CONN.AVE

TRAVELER INFORMATION

BEFORE ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA FRAMEWORK FOR ITS

DecisionSystem

Sensor media

Transportation Flows

Data Gathering

dataflow

Feedback& decisions

Equipment Processing

Sensors

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA SENSORS in TRANSPORTATION

INDUCTIVELOOP DETECTORS

GPS-BASEDLOCATOR

OTHER DETECTORS• VIDEO DETECTORS• SONAR DETECTORS• RADAR DETECTORS

CELLPHONES

OTHER SENSORS •TRAVEL PROBES•DRIVER INPUTS

•ROADSIDE BEACONS

MANUAL SURVEYS& COUNTS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Transportation Systems

Sensor media

Transportation Flows

Sensors

Data flow

Feedback& Actions

FRAMEWORK FOR ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Transportation Systems

Sensor media

Transportation Flows

Sensors

Data flow

WireTelephone line

FiberWireless (analog)Wireless (digital)

InternetWireless Internet

FRAMEWORK FOR ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Transportation Systems

Sensor media

Transportation Flows

Sensors dataflow

Feedback& Actions

FRAMEWORK FOR ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Transportation Systems

Sensor media

Transportation Flows

Sensors dataflow

Transportation Networks

FRAMEWORK FOR ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA TRANSPORTATION PLANNING

WITH ITS

MANUAL SURVEYS

Transport Planning& Network Design

Decisions

Sensor data

PLANNING &SIMULATION

TOOLS (E.G., DTA)

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Transportation Systems

Sensor media

Transportation Flows

Sensors dataflow

Transportation NetworksTraffic Signals

Traffic Adaptive Signals **

FRAMEWORK FOR ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

TRAFFIC MANAGEMENT WITH ITS “RHODES” Adaptive Traffic Control

ON-LINE OPTIMIZATION/SIMULATION

MODELS

AUTOMATICUPLOADING

OF SENSOR DATA

AUTOMATICDOWNLOADING OF

PHASE TIMES

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Transportation NetworksTraffic Signals

Traffic Adaptive Signals **

Transportation Systems

Sensor media

Transportation Flows

Sensors dataflow

Adaptive Ramp Meters *Variable Message Signs *

Transit Information (WWW)*Congestion Information (WWW) *

Highway Advisory Radio **

FRAMEWORK FOR ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA TRAVELER INFORMATION

WITH ITS

A TRAFFIC/SYSTEMS ENGINEERMONITORING TRAFFIC

CONDITIONS

Sensor data

A COMMUTER CHECKINGTRAFFIC CONDITIONS

BEFORE LEAVING

WWW

GPS-BASEDLOCATOR CELL

PHONE

EN-ROUTEWIRELESS

INFORMATION

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Transportation Systems

Sensor media

Transportation Flows

Sensors dataflow

Transportation NetworksTraffic Signals

Traffic Adaptive Signals **Adaptive Ramp Meters *Variable Massage Signs *

Highway Advisory Radio **Congestion Information (WWW) *

Transit Information (WWW)*Signal Preemption/Priority

(Buses, EMUs, trains) *Speed Advisory Signs *

In-vehicle Route GuidanceCongestion Pricing

CVO Fleet Operations/Tracking *

FRAMEWORK FOR ITS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Transportation Systems

Sensor media

Transportation Flows

Sensors dataflow

Feedback& Actions

FRAMEWORK FOR ITS + REMOTE SENSING

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

TransportationSystems

Transportation Flows

Remote Sensors dataflow

Feedback& Actions

RemoteSensormedia

Imageacquisition

Imageprocessing

Pattern recognition

FRAMEWORK FOR ITS + REMOTE SENSING

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

REMOTE SENSORS

MAGNETICLOOP DETECTORS

MANUAL SURVEYS& COUNTS

GPS-BASEDLOCATOR

OTHER DETECTORS• VIDEO DETECTORS• SONAR DETECTORS• RADAR DETECTORS

CELLPHONES

OTHER SENSORS •TRAVEL PROBES•DRIVER INPUTS

•ROADSIDE BEACONS

SENSORS in TRANSPORTATION

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

– can re-locate sensors where most needed (in case of monitoring congestion points)

• Each sensor is not constrained to be located at one point

– can provide information on the WWW

FRAMEWORK FOR ITS + REMOTE SENSING

SO, HOW DOES REMOTE SENSING HELP?

– can move with the “flow” (in security applications the sensor can follow suspicious movements)

• Can provide up-to-date traveler information, especially at disruptions and incidents

– can provide information to en-route motorists in in-vehicle ATIS

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

– for evacuation management during floods and disasters

• Can be deployed and re-deployed when fixed detectors fail

FRAMEWORK FOR ITS + REMOTE SENSING

SO, HOW DOES REMOTE SENSING HELP? (contd.)

• Can get better spatial measures such as turning ratios platoon dispersion, discharge rates, and travel times

– better measures for wide-area dynamic traffic management (DTA-ATIS)

– even better OD route volumes for transportation planning

– for incident management

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

� Acceptance -- by users, by providers, by operators.

CHALLENGES

• There are three major challenges

� Technical -- to integrate these sensors, computers, communication systems, people, infrastructure

� Cost: Will the benefits justify the costs?

atlasTHE UNIVERSITY OF

ARIZONATUCSON, ARIZONA

Questions?