SlideShare a Scribd company logo
1 of 30
Download to read offline
Intelligent Transportation                                    J.D. Margulici
   Trends and Perspectives                                     jdm@novavia.us
                      2011                                     www.novaviasolutions.com




                     Chapter 3: Traffic Monitoring

Note to copyright owners: all third-party materials contained in this presentation were obtained from
publicly available sources. However, they are reproduced here without explicit permission from their
       owners. Novavia Solutions will gladly remove any such material at the owner’s request.
 ITS primer and brief history
Intelligent Transportation
                                    State of the art: traffic monitoring
  Trends and Perspectives
                     2011
                                    Information technology trends

                                    Prospective and implications
                  J.D. Margulici
              jdm@novavia.us
      www.novaviasolutions.com
You cannot manage what you cannot measure…



                              Traffic sensors are the technological
                                   backbone enabling system
                                          management




                                  ITS Trends and Perspectives - April 2011   3
Traffic Sensors: State of the Art




                                    ITS Trends and Perspectives - April 2011   4
Sensor Data

      Point Detection              Segment Detection                          Floating Data

 • Fixed locations              • Fixed segments                  • Possibly random
 • Samples volume,              • Samples travel                    locations
   occupancy, speed               times                           • Samples speed




  n(x,t)                     T(i,[x1,x2])                            v(x,t)
  k(x,t)
  v(x,t)




              Completeness                   True Trips                                       Coverage


                                                          ITS Trends and Perspectives - April 2011   5
Traffic Sensors: Point Detection

Inductive Loop (ILD)


Doppler Radar


Video


Doppler Microwave


Passive Acoustic

                                   ITS Trends and Perspectives - April 2011   6
Segment Reading


Toll Tag Readers


License Plate Readers


Magnetic Signature


Bluetooth / MAC ID


                        ITS Trends and Perspectives - April 2011   7
Travel Time from Portable ALPR

                                                      Average Hourly Volume at CA154NB
CA-154                                                                  US-101
                                         Tube Count           LPR Camera Count       Matched Plate Count
Two-lane local highway                                                  4-lane national divided highway
      900
Length: 31 miles                                                        Length: 47 miles
Winding
      800

Slow speeds
      700
 Volume (Vehicles)




                     600


                     500


                     400


                     300


                     200


                     100


                       0
                           0:00   3:00       6:00           9:00            12:00     15:00                18:00        21:00

                                                                   Time of day




                                                                                       ITS Trends and Perspectives - April 2011   8
Floating Car Data




                    ITS Trends and Perspectives - April 2011   9
Mobile Century: GPS-Equipped Phones as Traffic Probes…




                                      ITS Trends and Perspectives - April 2011   10
Mobile Century: Design of Experiment
   165 Berkeley students drivers

   100 GPS-enabled cell phones (N95)

   100 rented cars

   6 to 10 mile loops, I-880

   10am to 7pm

   2-5% penetration rate

   1/3Hz data stored on phones

   Real-time, online flow reconstruction (VTLs)




                                                  ITS Trends and Perspectives - April 2011   11
Mobile Century 2.8.8
12




                            ITS Trends and Perspectives - April 2011   12
Virtual Trip Lines vs. Local Log vs. Speedometer




                                     ITS Trends and Perspectives - April 2011   13
Penetration Rates




A.M.



P.M.


                    ITS Trends and Perspectives - April 2011   14
Collected Trajectories (20% subset)




                                      ITS Trends and Perspectives - April 2011   15
Shockwave




            ITS Trends and Perspectives - April 2011   16
Contour Plots

Loop Detectors   Phone Logs




                          ITS Trends and Perspectives - April 2011   17
Speed Scale

Contour Plots (2)




        17 Loops    Phone Logs




        17 VTLs      30 VTLs




                         ITS Trends and Perspectives - April 2011   18
Video Validation




                   ITS Trends and Perspectives - April 2011   19
Travel Times




               ITS Trends and Perspectives - April 2011   20
Speed Dating: Loops + VTL…




                             ITS Trends and Perspectives - April 2011   21
Traveler Information




                       ITS Trends and Perspectives - April 2011   22
511
      2003




                                   December 10, 2010



             ITS Trends and Perspectives - April 2011   23
Traffic Information: Value Chain

           Surface
           Streets




Roadway                Probe      Filter &         GIS       Phone / PDA    Navigation        Radio            Web             Mobile          Car
 Sensors               Data      Interpret     Integration      Apps.         Units        Broadcasting      Publishing       Networks        Makers




        Data                               Data                     Application                     Delivery                        Branding &
      Collection                        Processing                   Packaging                      Channels                        Distribution




Incident             Weather &                                  Trip         Logistics &                      Mobile         Information      Mass
                                 Aggregate       Predict                                   TV Reports
  Data                Events                                  Planning      Professional                      Delivery          Portals       Media




           Freeways




                                                                                                 ITS Trends and Perspectives - April 2011      24
Real-time Traffic Detection: Supply and Demand

Infrastructure-Side Technology                         Vehicle-Side Technology
                                                                                                                   3,900

                                                                                                                   Actual




 U.S. Freeway Miles Covered with Real-time Detection        Worldwide Navigation Units Sales (10,000s)


 Source: ITS Joint Projects Office                     Source: SiRF Technology



                                                                        ITS Trends and Perspectives - April 2011            25
Procurement of Private Data

 Federal Intelligent Transportation Infrastructure Program                      Current Challenges


$2 million appropriated for data services in up to 25        Procurement
metro areas
                                                             • Data quality audits, QA
Traffic.com deploys, operates and maintains sensor           • Licensing rights
network

Traffic.com provides data to TV, radio, satellite radio,
in-vehicle systems, and maintains public Web site            Systems Integration
                                                             • Traffic systems operate with volume/occupancy
Agencies get unlimited real-time and archived data
for internal use                                             • GIS integration with different segment definitions


                                                             Data Policies
                                                             • What fusion / selection procedures?
                                                             • Where are detectors still needed?




                                                                       ITS Trends and Perspectives - April 2011     26
Traffic Information Quality

Traffic information has become abundant but quality remains seldom monitored
•   End users are relatively clueless about information quality
•   Margins of error are not well understood and used in practice
There are no widespread metrics or evaluation procedures to measure data quality
•   Each customer (e.g. car manufacturer, DOT…) conducts its own benchmark
•   Evaluation results cannot be readily compared


Postulate:
Harmonized benchmarking methods would benefit both suppliers and customers
•   Improve consistency and fairness of evaluations
•   Lower overall costs by eliminating duplication of efforts
•   Better recognize true value-added and pull quality upward




                                                                ITS Trends and Perspectives - April 2011   27
About NATWG

      The North American Traffic Working Group (NATWG) works
      collaboratively to define, accept and advocate for the unique
      needs of North America traffic information services. NATWG
      seeks to develop a coordinated, proactive market driven
      implementation of traffic and travel information services and
      products by both influencing international standards efforts
      and coordinating the development of non-competitive
      commercial agreements.
Members sampling:




                                               ITS Trends and Perspectives - April 2011   28
Key Takeaway




        If counting cars keeps you awake at night, start counting sheep instead…



                                                              ITS Trends and Perspectives - April 2011   29
Intelligent Transportation   J.D. Margulici
  Trends and Perspectives    jdm@novavia.us
                     2011    www.novaviasolutions.com




                    Next is
         Chapter 4: Vehicle Technology

More Related Content

What's hot

Smart Security Infrastructure
Smart Security InfrastructureSmart Security Infrastructure
Smart Security InfrastructureGAURAV. H .TANDON
 
Seoul's Smart City Strategy
Seoul's Smart City StrategySeoul's Smart City Strategy
Seoul's Smart City StrategyChi Hyung Lee
 
IRJET - Integrated VLC with Wi-Fi for Smartway Transportation System: A Survey
IRJET - Integrated VLC with Wi-Fi for Smartway Transportation System: A SurveyIRJET - Integrated VLC with Wi-Fi for Smartway Transportation System: A Survey
IRJET - Integrated VLC with Wi-Fi for Smartway Transportation System: A SurveyIRJET Journal
 
Autonomous vehicles: Plotting a route to the driverless future
Autonomous vehicles: Plotting a route to the driverless futureAutonomous vehicles: Plotting a route to the driverless future
Autonomous vehicles: Plotting a route to the driverless futureAccenture Insurance
 
Mr. Paul Chang's presentation at QITCOM 2011
Mr. Paul Chang's presentation at QITCOM 2011Mr. Paul Chang's presentation at QITCOM 2011
Mr. Paul Chang's presentation at QITCOM 2011QITCOM
 
Designing Roads for AVs (autonomous vehicles)
Designing Roads for AVs (autonomous vehicles)Designing Roads for AVs (autonomous vehicles)
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
 
SCL Event - Dr Andrew Palmer - Cranfield University - The Physical Internet -...
SCL Event - Dr Andrew Palmer - Cranfield University - The Physical Internet -...SCL Event - Dr Andrew Palmer - Cranfield University - The Physical Internet -...
SCL Event - Dr Andrew Palmer - Cranfield University - The Physical Internet -...Global Business Intel
 
The tricky road to autonomous cars
The tricky road to autonomous carsThe tricky road to autonomous cars
The tricky road to autonomous carsSpeck&Tech
 
Transformational Transportation Technologies Workshop
Transformational Transportation Technologies WorkshopTransformational Transportation Technologies Workshop
Transformational Transportation Technologies WorkshopHeartland2050
 
From Transport systems to Mobility management Thales
From Transport systems to Mobility management ThalesFrom Transport systems to Mobility management Thales
From Transport systems to Mobility management ThalesIbrahim Al-Hudhaif
 
Ppt axis smart_city_iot_slideshare
Ppt axis smart_city_iot_slidesharePpt axis smart_city_iot_slideshare
Ppt axis smart_city_iot_slideshareAxis Communications
 
Intelligent transportation system
Intelligent transportation systemIntelligent transportation system
Intelligent transportation systemKunalPolkundwar
 

What's hot (20)

Smart Security Infrastructure
Smart Security InfrastructureSmart Security Infrastructure
Smart Security Infrastructure
 
Moscow on CeBIT. Introduction
Moscow on CeBIT. IntroductionMoscow on CeBIT. Introduction
Moscow on CeBIT. Introduction
 
Seoul's Smart City Strategy
Seoul's Smart City StrategySeoul's Smart City Strategy
Seoul's Smart City Strategy
 
IRJET - Integrated VLC with Wi-Fi for Smartway Transportation System: A Survey
IRJET - Integrated VLC with Wi-Fi for Smartway Transportation System: A SurveyIRJET - Integrated VLC with Wi-Fi for Smartway Transportation System: A Survey
IRJET - Integrated VLC with Wi-Fi for Smartway Transportation System: A Survey
 
Autonomous vehicles: Plotting a route to the driverless future
Autonomous vehicles: Plotting a route to the driverless futureAutonomous vehicles: Plotting a route to the driverless future
Autonomous vehicles: Plotting a route to the driverless future
 
Safe City 1.0
Safe City 1.0Safe City 1.0
Safe City 1.0
 
Mr. Paul Chang's presentation at QITCOM 2011
Mr. Paul Chang's presentation at QITCOM 2011Mr. Paul Chang's presentation at QITCOM 2011
Mr. Paul Chang's presentation at QITCOM 2011
 
Designing Roads for AVs (autonomous vehicles)
Designing Roads for AVs (autonomous vehicles)Designing Roads for AVs (autonomous vehicles)
Designing Roads for AVs (autonomous vehicles)
 
Rooban
RoobanRooban
Rooban
 
SCL Event - Dr Andrew Palmer - Cranfield University - The Physical Internet -...
SCL Event - Dr Andrew Palmer - Cranfield University - The Physical Internet -...SCL Event - Dr Andrew Palmer - Cranfield University - The Physical Internet -...
SCL Event - Dr Andrew Palmer - Cranfield University - The Physical Internet -...
 
The tricky road to autonomous cars
The tricky road to autonomous carsThe tricky road to autonomous cars
The tricky road to autonomous cars
 
Transformational Transportation Technologies Workshop
Transformational Transportation Technologies WorkshopTransformational Transportation Technologies Workshop
Transformational Transportation Technologies Workshop
 
From Transport systems to Mobility management Thales
From Transport systems to Mobility management ThalesFrom Transport systems to Mobility management Thales
From Transport systems to Mobility management Thales
 
Ppt axis smart_city_iot_slideshare
Ppt axis smart_city_iot_slidesharePpt axis smart_city_iot_slideshare
Ppt axis smart_city_iot_slideshare
 
Connected and Automated Vehicles: Where Are We Going and What Happens When We...
Connected and Automated Vehicles: Where Are We Going and What Happens When We...Connected and Automated Vehicles: Where Are We Going and What Happens When We...
Connected and Automated Vehicles: Where Are We Going and What Happens When We...
 
Smart City Tel Aviv
Smart City Tel AvivSmart City Tel Aviv
Smart City Tel Aviv
 
Vehicle Telematics
Vehicle TelematicsVehicle Telematics
Vehicle Telematics
 
Intelligent transportation system
Intelligent transportation systemIntelligent transportation system
Intelligent transportation system
 
Ptolemus nav & loc berlin presentation
Ptolemus nav & loc berlin presentationPtolemus nav & loc berlin presentation
Ptolemus nav & loc berlin presentation
 
FIWARE Smart City cases 2014
FIWARE Smart City cases  2014FIWARE Smart City cases  2014
FIWARE Smart City cases 2014
 

Viewers also liked

5 Steps To Regain Your Confidence - You Have Choices
5 Steps To Regain Your Confidence - You Have Choices5 Steps To Regain Your Confidence - You Have Choices
5 Steps To Regain Your Confidence - You Have ChoicesJenni Proctor
 
whats in the box
whats in the boxwhats in the box
whats in the boxj s
 
Pre Production Paperwork
Pre Production PaperworkPre Production Paperwork
Pre Production PaperworkPieter Jollans
 
Day of Cloud: Amazon EC2
Day of Cloud: Amazon EC2Day of Cloud: Amazon EC2
Day of Cloud: Amazon EC2cmcavoy
 
11 steps to a smooth career change
11 steps to a smooth career change11 steps to a smooth career change
11 steps to a smooth career changeJenni Proctor
 
Lbofingerpreassessment
LbofingerpreassessmentLbofingerpreassessment
Lbofingerpreassessmentlbofinger
 
The Use of Social Media in Recruitment
The Use of Social Media in RecruitmentThe Use of Social Media in Recruitment
The Use of Social Media in RecruitmentJenni Proctor
 
Ett comenius Students evaluation
Ett comenius   Students evaluationEtt comenius   Students evaluation
Ett comenius Students evaluationJoan Mitjavila
 
Ra Rymill Computer Archeology 101
Ra Rymill Computer Archeology 101Ra Rymill Computer Archeology 101
Ra Rymill Computer Archeology 101R Andrew Rymill
 
Career Development For Generation Y
Career Development For Generation YCareer Development For Generation Y
Career Development For Generation YJenni Proctor
 
The Biggest Career Transition
The Biggest Career Transition The Biggest Career Transition
The Biggest Career Transition Jenni Proctor
 
Fearless engagement the next level of facebook marketing
Fearless engagement the next level of facebook marketingFearless engagement the next level of facebook marketing
Fearless engagement the next level of facebook marketingTerry Eccles-Pettet
 
Seat at the table
Seat at the tableSeat at the table
Seat at the tablealdampier
 

Viewers also liked (20)

5 Steps To Regain Your Confidence - You Have Choices
5 Steps To Regain Your Confidence - You Have Choices5 Steps To Regain Your Confidence - You Have Choices
5 Steps To Regain Your Confidence - You Have Choices
 
Music Video Analysis
Music Video AnalysisMusic Video Analysis
Music Video Analysis
 
Job interviews
Job interviewsJob interviews
Job interviews
 
whats in the box
whats in the boxwhats in the box
whats in the box
 
A different solution
A different solutionA different solution
A different solution
 
Career Chameleons
Career ChameleonsCareer Chameleons
Career Chameleons
 
Pre Production Paperwork
Pre Production PaperworkPre Production Paperwork
Pre Production Paperwork
 
Autoexmamaeduc
AutoexmamaeducAutoexmamaeduc
Autoexmamaeduc
 
Day of Cloud: Amazon EC2
Day of Cloud: Amazon EC2Day of Cloud: Amazon EC2
Day of Cloud: Amazon EC2
 
Music Genre Research
Music Genre ResearchMusic Genre Research
Music Genre Research
 
11 steps to a smooth career change
11 steps to a smooth career change11 steps to a smooth career change
11 steps to a smooth career change
 
Lbofingerpreassessment
LbofingerpreassessmentLbofingerpreassessment
Lbofingerpreassessment
 
The Use of Social Media in Recruitment
The Use of Social Media in RecruitmentThe Use of Social Media in Recruitment
The Use of Social Media in Recruitment
 
Ett comenius Students evaluation
Ett comenius   Students evaluationEtt comenius   Students evaluation
Ett comenius Students evaluation
 
Car O Crazy
Car O CrazyCar O Crazy
Car O Crazy
 
Ra Rymill Computer Archeology 101
Ra Rymill Computer Archeology 101Ra Rymill Computer Archeology 101
Ra Rymill Computer Archeology 101
 
Career Development For Generation Y
Career Development For Generation YCareer Development For Generation Y
Career Development For Generation Y
 
The Biggest Career Transition
The Biggest Career Transition The Biggest Career Transition
The Biggest Career Transition
 
Fearless engagement the next level of facebook marketing
Fearless engagement the next level of facebook marketingFearless engagement the next level of facebook marketing
Fearless engagement the next level of facebook marketing
 
Seat at the table
Seat at the tableSeat at the table
Seat at the table
 

Similar to Intelligent Transportation Trends chpt.3 - Traffic Monitoring

Intelligent Transportation Trends chpt.5 - Tolling and Enforcement
Intelligent Transportation Trends chpt.5 - Tolling and EnforcementIntelligent Transportation Trends chpt.5 - Tolling and Enforcement
Intelligent Transportation Trends chpt.5 - Tolling and EnforcementNovavia Solutions
 
Locations big data its
Locations big data itsLocations big data its
Locations big data itsGeoMedeelel
 
SC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiSC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiBigData_Europe
 
Smart Cities, Mobility Component and its details.pptx
Smart Cities, Mobility Component and its details.pptxSmart Cities, Mobility Component and its details.pptx
Smart Cities, Mobility Component and its details.pptxmuzzhash1
 
Next genits closing_event
Next genits closing_eventNext genits closing_event
Next genits closing_eventimec.archive
 
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Paolo Nesi
 
TOTUS update Auckland Council - Dec 2011
TOTUS update Auckland Council - Dec 2011TOTUS update Auckland Council - Dec 2011
TOTUS update Auckland Council - Dec 2011Gustavo Olivares
 
Realtime Big Data Analytics for Event Detection in Highways
Realtime Big Data Analytics for Event Detection in HighwaysRealtime Big Data Analytics for Event Detection in Highways
Realtime Big Data Analytics for Event Detection in HighwaysYork University
 
Girardin lift france10_notes
Girardin lift france10_notesGirardin lift france10_notes
Girardin lift france10_notesFing
 
A Mobile Sensing Architecture for Massive Urban Scanning
A Mobile Sensing Architecture for Massive Urban ScanningA Mobile Sensing Architecture for Massive Urban Scanning
A Mobile Sensing Architecture for Massive Urban ScanningEuroCloud
 
Arpan pal tac tics2012
Arpan pal tac tics2012Arpan pal tac tics2012
Arpan pal tac tics2012Arpan Pal
 
Its Congestion Intellione
Its Congestion IntellioneIts Congestion Intellione
Its Congestion IntellioneIntellione
 
Traffic Information System In India
Traffic Information System In IndiaTraffic Information System In India
Traffic Information System In IndiaWaseemAhmad186
 
Intelligent Transportation System
Intelligent Transportation SystemIntelligent Transportation System
Intelligent Transportation SystemSrikanthRenikunta
 
Mondello_ TELECOM
Mondello_ TELECOMMondello_ TELECOM
Mondello_ TELECOMGoWireless
 
Near Field Communications Technology Overview
Near Field Communications Technology OverviewNear Field Communications Technology Overview
Near Field Communications Technology OverviewChris Anderson
 
Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...GovLoop
 
Snap4City November 2019 Course: Smart City IOT Data Analytics
Snap4City November 2019 Course: Smart City IOT Data AnalyticsSnap4City November 2019 Course: Smart City IOT Data Analytics
Snap4City November 2019 Course: Smart City IOT Data AnalyticsPaolo Nesi
 

Similar to Intelligent Transportation Trends chpt.3 - Traffic Monitoring (20)

Intelligent Transportation Trends chpt.5 - Tolling and Enforcement
Intelligent Transportation Trends chpt.5 - Tolling and EnforcementIntelligent Transportation Trends chpt.5 - Tolling and Enforcement
Intelligent Transportation Trends chpt.5 - Tolling and Enforcement
 
Locations big data its
Locations big data itsLocations big data its
Locations big data its
 
SC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiSC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
SC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
 
Nouh (d2 its)
Nouh (d2 its)Nouh (d2 its)
Nouh (d2 its)
 
Smart Cities, Mobility Component and its details.pptx
Smart Cities, Mobility Component and its details.pptxSmart Cities, Mobility Component and its details.pptx
Smart Cities, Mobility Component and its details.pptx
 
Next genits closing_event
Next genits closing_eventNext genits closing_event
Next genits closing_event
 
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...
 
TOTUS update Auckland Council - Dec 2011
TOTUS update Auckland Council - Dec 2011TOTUS update Auckland Council - Dec 2011
TOTUS update Auckland Council - Dec 2011
 
Realtime Big Data Analytics for Event Detection in Highways
Realtime Big Data Analytics for Event Detection in HighwaysRealtime Big Data Analytics for Event Detection in Highways
Realtime Big Data Analytics for Event Detection in Highways
 
Girardin lift france10_notes
Girardin lift france10_notesGirardin lift france10_notes
Girardin lift france10_notes
 
A Mobile Sensing Architecture for Massive Urban Scanning
A Mobile Sensing Architecture for Massive Urban ScanningA Mobile Sensing Architecture for Massive Urban Scanning
A Mobile Sensing Architecture for Massive Urban Scanning
 
Arpan pal tac tics2012
Arpan pal tac tics2012Arpan pal tac tics2012
Arpan pal tac tics2012
 
Its Congestion Intellione
Its Congestion IntellioneIts Congestion Intellione
Its Congestion Intellione
 
Traffic Information System In India
Traffic Information System In IndiaTraffic Information System In India
Traffic Information System In India
 
Intelligent Transportation System
Intelligent Transportation SystemIntelligent Transportation System
Intelligent Transportation System
 
Mondello_ TELECOM
Mondello_ TELECOMMondello_ TELECOM
Mondello_ TELECOM
 
Near Field Communications Technology Overview
Near Field Communications Technology OverviewNear Field Communications Technology Overview
Near Field Communications Technology Overview
 
Studying Migrations Routes: New data and Tools
Studying Migrations Routes: New data and ToolsStudying Migrations Routes: New data and Tools
Studying Migrations Routes: New data and Tools
 
Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...
 
Snap4City November 2019 Course: Smart City IOT Data Analytics
Snap4City November 2019 Course: Smart City IOT Data AnalyticsSnap4City November 2019 Course: Smart City IOT Data Analytics
Snap4City November 2019 Course: Smart City IOT Data Analytics
 

Recently uploaded

Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsHyundai Motor Group
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfjimielynbastida
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 

Recently uploaded (20)

Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdf
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 

Intelligent Transportation Trends chpt.3 - Traffic Monitoring

  • 1. Intelligent Transportation J.D. Margulici Trends and Perspectives jdm@novavia.us 2011 www.novaviasolutions.com Chapter 3: Traffic Monitoring Note to copyright owners: all third-party materials contained in this presentation were obtained from publicly available sources. However, they are reproduced here without explicit permission from their owners. Novavia Solutions will gladly remove any such material at the owner’s request.
  • 2.  ITS primer and brief history Intelligent Transportation  State of the art: traffic monitoring Trends and Perspectives 2011  Information technology trends  Prospective and implications J.D. Margulici jdm@novavia.us www.novaviasolutions.com
  • 3. You cannot manage what you cannot measure… Traffic sensors are the technological backbone enabling system management ITS Trends and Perspectives - April 2011 3
  • 4. Traffic Sensors: State of the Art ITS Trends and Perspectives - April 2011 4
  • 5. Sensor Data Point Detection Segment Detection Floating Data • Fixed locations • Fixed segments • Possibly random • Samples volume, • Samples travel locations occupancy, speed times • Samples speed n(x,t) T(i,[x1,x2]) v(x,t) k(x,t) v(x,t) Completeness True Trips Coverage ITS Trends and Perspectives - April 2011 5
  • 6. Traffic Sensors: Point Detection Inductive Loop (ILD) Doppler Radar Video Doppler Microwave Passive Acoustic ITS Trends and Perspectives - April 2011 6
  • 7. Segment Reading Toll Tag Readers License Plate Readers Magnetic Signature Bluetooth / MAC ID ITS Trends and Perspectives - April 2011 7
  • 8. Travel Time from Portable ALPR Average Hourly Volume at CA154NB CA-154 US-101 Tube Count LPR Camera Count Matched Plate Count Two-lane local highway 4-lane national divided highway 900 Length: 31 miles Length: 47 miles Winding 800 Slow speeds 700 Volume (Vehicles) 600 500 400 300 200 100 0 0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 Time of day ITS Trends and Perspectives - April 2011 8
  • 9. Floating Car Data ITS Trends and Perspectives - April 2011 9
  • 10. Mobile Century: GPS-Equipped Phones as Traffic Probes… ITS Trends and Perspectives - April 2011 10
  • 11. Mobile Century: Design of Experiment 165 Berkeley students drivers 100 GPS-enabled cell phones (N95) 100 rented cars 6 to 10 mile loops, I-880 10am to 7pm 2-5% penetration rate 1/3Hz data stored on phones Real-time, online flow reconstruction (VTLs) ITS Trends and Perspectives - April 2011 11
  • 12. Mobile Century 2.8.8 12 ITS Trends and Perspectives - April 2011 12
  • 13. Virtual Trip Lines vs. Local Log vs. Speedometer ITS Trends and Perspectives - April 2011 13
  • 14. Penetration Rates A.M. P.M. ITS Trends and Perspectives - April 2011 14
  • 15. Collected Trajectories (20% subset) ITS Trends and Perspectives - April 2011 15
  • 16. Shockwave ITS Trends and Perspectives - April 2011 16
  • 17. Contour Plots Loop Detectors Phone Logs ITS Trends and Perspectives - April 2011 17
  • 18. Speed Scale Contour Plots (2) 17 Loops Phone Logs 17 VTLs 30 VTLs ITS Trends and Perspectives - April 2011 18
  • 19. Video Validation ITS Trends and Perspectives - April 2011 19
  • 20. Travel Times ITS Trends and Perspectives - April 2011 20
  • 21. Speed Dating: Loops + VTL… ITS Trends and Perspectives - April 2011 21
  • 22. Traveler Information ITS Trends and Perspectives - April 2011 22
  • 23. 511 2003 December 10, 2010 ITS Trends and Perspectives - April 2011 23
  • 24. Traffic Information: Value Chain Surface Streets Roadway Probe Filter & GIS Phone / PDA Navigation Radio Web Mobile Car Sensors Data Interpret Integration Apps. Units Broadcasting Publishing Networks Makers Data Data Application Delivery Branding & Collection Processing Packaging Channels Distribution Incident Weather & Trip Logistics & Mobile Information Mass Aggregate Predict TV Reports Data Events Planning Professional Delivery Portals Media Freeways ITS Trends and Perspectives - April 2011 24
  • 25. Real-time Traffic Detection: Supply and Demand Infrastructure-Side Technology Vehicle-Side Technology 3,900 Actual U.S. Freeway Miles Covered with Real-time Detection Worldwide Navigation Units Sales (10,000s) Source: ITS Joint Projects Office Source: SiRF Technology ITS Trends and Perspectives - April 2011 25
  • 26. Procurement of Private Data Federal Intelligent Transportation Infrastructure Program Current Challenges $2 million appropriated for data services in up to 25 Procurement metro areas • Data quality audits, QA Traffic.com deploys, operates and maintains sensor • Licensing rights network Traffic.com provides data to TV, radio, satellite radio, in-vehicle systems, and maintains public Web site Systems Integration • Traffic systems operate with volume/occupancy Agencies get unlimited real-time and archived data for internal use • GIS integration with different segment definitions Data Policies • What fusion / selection procedures? • Where are detectors still needed? ITS Trends and Perspectives - April 2011 26
  • 27. Traffic Information Quality Traffic information has become abundant but quality remains seldom monitored • End users are relatively clueless about information quality • Margins of error are not well understood and used in practice There are no widespread metrics or evaluation procedures to measure data quality • Each customer (e.g. car manufacturer, DOT…) conducts its own benchmark • Evaluation results cannot be readily compared Postulate: Harmonized benchmarking methods would benefit both suppliers and customers • Improve consistency and fairness of evaluations • Lower overall costs by eliminating duplication of efforts • Better recognize true value-added and pull quality upward ITS Trends and Perspectives - April 2011 27
  • 28. About NATWG The North American Traffic Working Group (NATWG) works collaboratively to define, accept and advocate for the unique needs of North America traffic information services. NATWG seeks to develop a coordinated, proactive market driven implementation of traffic and travel information services and products by both influencing international standards efforts and coordinating the development of non-competitive commercial agreements. Members sampling: ITS Trends and Perspectives - April 2011 28
  • 29. Key Takeaway If counting cars keeps you awake at night, start counting sheep instead… ITS Trends and Perspectives - April 2011 29
  • 30. Intelligent Transportation J.D. Margulici Trends and Perspectives jdm@novavia.us 2011 www.novaviasolutions.com Next is Chapter 4: Vehicle Technology