Post on 21-Jan-2016
description
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?