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TRANSPORTATION + ITS + REMOTE SENSING. Pitu Mirchandani Professor and Director, ATLAS Research Center Systems and Industrial Engineering Department The University of Arizona, Tucson, Arizona 85721 September, 2002. OVERVIEW OF TALK. Transportation systems with ITS and Remote Sensing.

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transportation its remote sensing
TRANSPORTATION+ ITS+ REMOTE SENSING

Pitu Mirchandani

Professor and Director, ATLAS Research Center

Systems and Industrial Engineering Department

The University of Arizona, Tucson, Arizona 85721

September, 2002

overview of talk
OVERVIEW OF TALK
  • 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

We will discuss:

transportation planning before its

Transport Planning& Network design

Transport Planning& Network Design

MANUAL SURVEYS& TRAFFIC COUNTS

MANUAL SURVEYS& TRAFFIC COUNTS

TRANSPORTATION PLANNING

TRANSPORTATION PLANNING(before ITS)
slide5

BEFORE ITS

OPTIMIZATION/SIMULATION

MODELS

Transport Planning& Network design

MANUAL SURVEYS& TRAFFIC COUNTS

DOWNLOAD

OF TIMING PLANS

TRANSPORTATION PLANNING

TRANSPORTATION MANAGEMENT

slide7

BEFORE ITS

AN INCIDENT AT

I6TH & CONN.AVE

OPTIMIZATION/SIMULATION

MODELS

Transport Planning& Network design

TRAVELER INFORMATION

MANUAL SURVEYS& TRAFFIC COUNTS

DOWNLOAD

OF TIMING PLANS

MAP

slide8

Decision

System

Equipment

Processing

Data Gathering

Sensors

Feedback

& decisions

FRAMEWORK FOR ITS

data

flow

Sensor media

Transportation Flows

sensors in transportation

GPS-BASEDLOCATOR

CELLPHONES

MANUAL SURVEYS& COUNTS

INDUCTIVELOOP DETECTORS

SENSORS in TRANSPORTATION
  • OTHER DETECTORS
  • VIDEO DETECTORS
  • SONAR DETECTORS
  • RADAR DETECTORS
  • OTHER SENSORS
  • TRAVEL PROBES
  • DRIVER INPUTS
  • ROADSIDE BEACONS
slide10

FRAMEWORK FOR ITS

Sensors

Data flow

Transportation

Systems

Sensor media

Feedback

& Actions

Transportation Flows

slide11

Sensors

Data flow

Transportation

Systems

Sensor media

Transportation Flows

FRAMEWORK FOR ITS

Wire

Telephone line

Fiber

Wireless (analog)

Wireless (digital)

Internet

Wireless Internet

slide12

FRAMEWORK FOR ITS

Sensors

data

flow

Transportation Systems

Sensor media

Feedback

&Actions

Transportation Flows

slide13

FRAMEWORK FOR ITS

Sensors

data

flow

Transportation Systems

Transportation Networks

Sensor media

Transportation Flows

transportation planning with its
TRANSPORTATION PLANNINGWITH ITS

PLANNING &

SIMULATION

TOOLS (E.G., DTA)

Transport Planning& Network Design

Decisions

MANUAL SURVEYS

Sensor data

slide15

FRAMEWORK FOR ITS

Sensors

data

flow

Transportation Systems

Transportation Networks

Traffic Signals

Traffic Adaptive Signals **

Sensor media

Transportation Flows

traffic management with its rhodes adaptive traffic control

ON-LINE

OPTIMIZATION/SIMULATION

MODELS

AUTOMATIC

DOWNLOADING OF

PHASE TIMES

AUTOMATIC

UPLOADING

OF SENSOR DATA

TRAFFIC MANAGEMENT WITH ITS “RHODES”Adaptive Traffic Control
slide17

FRAMEWORK FOR ITS

Sensors

data

flow

Transportation Systems

Transportation Networks

Traffic Signals

Traffic Adaptive Signals **

Sensor media

Adaptive Ramp Meters *

Variable Message Signs *

Highway Advisory Radio **

Congestion Information (WWW) *

Transit Information (WWW)*

Transportation Flows

traveler information with its

A COMMUTER CHECKING

TRAFFIC CONDITIONS

BEFORE LEAVING

GPS-BASEDLOCATOR

CELLPHONE

WWW

A TRAFFIC/SYSTEMS ENGINEER

MONITORING TRAFFIC

CONDITIONS

EN-ROUTE

WIRELESS

INFORMATION

Sensor data

TRAVELER INFORMATION WITH ITS
slide19

FRAMEWORK FOR ITS

Sensors

data

flow

Transportation Systems

Transportation Networks

Traffic Signals

Traffic Adaptive Signals **

Adaptive Ramp Meters *

Variable Massage Signs *

Highway Advisory Radio **

Congestion Information (WWW) *

Transit Information (WWW)*

Sensor media

Signal Preemption/Priority

(Buses, EMUs, trains) *

Transportation Flows

Speed Advisory Signs *

In-vehicle Route Guidance

Congestion Pricing

CVO Fleet Operations/Tracking *

slide20

FRAMEWORK FOR

ITS

+ REMOTE SENSING

Sensors

data

flow

Transportation Systems

Sensor media

Feedback

&Actions

Transportation Flows

slide21

Remote

Sensor

media

FRAMEWORK FOR

ITS + REMOTE SENSING

Remote Sensors

data

flow

Image

acquisition

Image

processing

Transportation

Systems

Pattern recognition

Feedback

&Actions

Transportation Flows

sensors in transportation1

OTHER DETECTORS

  • VIDEO DETECTORS
  • SONAR DETECTORS
  • RADAR DETECTORS

GPS-BASEDLOCATOR

CELLPHONES

REMOTE SENSORS

MANUAL SURVEYS& COUNTS

MAGNETICLOOP DETECTORS

  • OTHER SENSORS
  • TRAVEL PROBES
  • DRIVER INPUTS
  • ROADSIDE BEACONS
SENSORS in TRANSPORTATION
slide23

FRAMEWORK FOR

ITS + REMOTE SENSING

  • Each sensor is not constrained to be located at one point
  • can move with the “flow” (in security applications the sensor can follow suspicious movements)

SO, HOW DOES REMOTE SENSING HELP?

  • can re-locate sensors where most needed (in case of monitoring congestion points)
  • Can provide up-to-date traveler information, especially at disruptions and incidents
  • can provide information on the WWW
  • can provide information to en-route motorists in
  • in-vehicle ATIS
slide24

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
  • Can be deployed and re-deployed when fixed detectors fail
  • for incident management
  • for evacuation management during floods and disasters
challenges
CHALLENGES
  • There are three major challenges
  • Technical -- to integrate these sensors, computers, communication systems, people, infrastructure
  • Cost: Will the benefits justify the costs?
  • Acceptance -- by users, by providers, by operators.