SlideShare a Scribd company logo
Dilum Bandara, PhD
Dept. of Computer Science & Engineering, University of Moratuwa
Dilum.Bandara@uom.lk
Some slides adopted from Dr. Chathura De Silva
TRF 2018, Aug 3, 2018
2
Source: PAG Electronics
Source: http://www.ft.lk
Source: http://www.etc.vn
Today 2025
MTC
Stop-and-go
ETC
Single-lane
limited flow
MLFF
E01, OCH, CKE Only on CKE at present
May on E01, OCH when connected
Toll gates on entry/exit ramps
Front office staff
Facilitates vehicle entry control
Limited throughput
On-expressway gantries
Back-office monitoring
Violation detection instead of entry
control
High-throughput
A complete
transformation in
toll administration
3
Source: Dr. Chathura De Silva
 Public or private road for which a fee (or toll) is charged for passage
 Toll based on
 Distance traveled
 Time of day
 Vehicle type or no of axels
 Congestion level
 Types
 Closed systems – entry & exist gates
 Open systems
 Electronic Toll Collection (ETC)
 Enhanced convenience for drivers by enabling cashless toll collection
 Relatively fast
4
5
Vehicle
Detection
Fare
Calculation
Payment
Automation through ETC
Manned Tollbooth
Systems
Self-Service
Automated Tollbooth
Systems
Unmanned
Wireless
Automated
Tollbooth Systems
Open Toll Roads
• Manual Toll
Collection (MTC)
• Stop & Go
• Easy to setup
• Cash based
• Slow
• Costly to operate
• Self service by driver
• Stop & Go
• Cash or card based
• More difficult to
setup
• Language &
technology barriers
• Slow
• Costly to operate
• Use preinstalled wireless transponders
• Or Automatic Number Plate Recognition
(ANR)
• Card based payments
• Costly to setup
• Single Lane
• Limited flow
(physical
constrains)
• Multi-lane
• Free flow
6
7Source: http://daridawg.blogspot.com
Source: www.abelard.org
8
Pros Cons
• Works better with single entry & single
exist
• No need of pre-registration
• Better privacy for drivers
• Language & technology barriers
• Slow & arbitrary delays
• Need exact amount or card-based
payment
• Sock management of pass cards or
tokens
• Pass card or token doesn’t have
information to bill in case of system
failure
• Human support is still need to address
issues & violators
 Based on RFID (Radio Frequency
ID)
 User identified through unique ID
 Can read & write data
 Difficult to counterfeit
 Modest cost
9
Source: root labs
Source: Electronic Toll Collection (ETC) System by Rohan S. Kale
 Omnidirectional antenna
 Use active RFID tags
 Battery could last for months
 Interaction time with 10m range
 @ 100 kmph – 720 ms
 @ 15 kmph – 4.8s
 Multi-tag reading with collision detection
 CKE (E03) recommends 20m inter-vehicle gap 10
11
• World largest multi-lane free flow &
distance-based system
• Operational efficiencies
• Toll collection rate 99.8%
• System availability 99.992%
• Environmental benefits
• Petrol Saving > 120 million liters
• CO2 reduction > 290,000 tons
• Time Saving > 375,000 hrs/ Day
12
Source: FETC, Taiwan
13Source: FETC, Taiwan
14
Source: FETC, Taiwan
15
16
Pros Cons
• Supports limited or free flow
• Supports Multi-Lane Free Flow
(MLFW)
• Use on multiple vehicles
• Discounts for using ETC
• Electronic payment settlement
• Full activity logging
• Less chance of corruption
• Can use to estimate vehicle flow rate
• Manual is still need to support
vehicles without transponders
• Cost of transponder to driver
• Need pre-registration
• Borrowed & rented vehicles
• Vehicles on carriers
• Battery issues
• Same transponder should be useable
across all toll roads
• Privacy issues due to tracking
• Transponder could be hacked
17
Source: wikipedia.org
Source: Plate.Vision
Source: roadtraffic-technology.com
18
 Triggered by a laser that
detect vehicle
 Capture front & rear
number plates
 Number detected based on
optical character
recognition (OCR)
 Typically coupled with
number plat database
 Validation
 Vehicle type detection
Source: sensorlink.com.my
 Single & 2-lane detection
 25 - 35m detection range
 Detection up to 250 kmph
 Day & night time operation
 98%+ recognition rate
 Confidence level of ANR
 Speed, travel direction, vehicle class/brand detection
 Traffic flow estimation
 Images as evidence
 Video streaming
 Waterproof IP68
19
Source: siemens.com/mobility
20
Pros Cons
• Supports Multi-Lane Free Flow (MLFW)
• Works with any vehicle
• Number attached to vehicle not owner
• No prior registration needed
• No physical installation
• Electronic payment settlement
• Less chance of corruption
• Full activity logging
• Speed detection
• Can use to estimate vehicle flow rate
• Vehicles on carriers skipped
• Manual is still need to support
undetectable number plates
• Non-standard number plates
• Vehicles with trailers
• Not having a check digit for number
validation
• Privacy issues due to tracking
• Transponder could be hacked
 Wireless transponders are more wide-spread
 Recent developments of ANR technologies make them toll road ready
 Typically wireless transponder & ANR used together
 Number plate with RFID tag
 Taiwan RFID-based ETC
 GNSS: Truck Toll Germany
 Sri Lanka needs entry control due to three-wheelers & motor cycles
 Better public acceptance when more transparent & non-invasive
 Some manual intervention is still needed
 Faculty RFID tags
 Need to handle unregistered vehicles
 Undetectable number plates
 Be ready to work incase of system failure
 Interoperability across vehicles & road segments
 Use of existing networking (e.g., CCTV) & IT infrastructure
21
22
Vehicle
Detection
Fare
Calculation
Payment
Automation through ETC
 Toll based on
 Distance traveled
 Time of day
 Vehicle type or axels
 Congestion level
23
Source: Electronic Toll Collection - Approaches, technologies,
experiences by Fritz Busch & Andreas Rau
24
25
Vehicle
Detection
Fare
Calculation
Payment
Automation through ETC
26
Source: FETC, Taiwan
27
28
Source: https://blogs.msdn.microsoft.com
 Integrated system enables real-time
revenue data & statistics
 Prepaid
 CKK connects BoC accounts
 Cards
 Attach credit cards
 Should support contemporary potions
such as
 Online pre-paid
 Mobile Apps
 Mobile cash
 NFC-base touch cards
29
Source: http://www.midlink.ie
Key Design Considerations
 Suitability in short-term deployment
(MTC/ETC as in E01, OCH, & CKE) while
having scalability towards MLFF
 Compatibility among 4-sections in E01
extension & existing network
 Facilitate migration of existing systems,
compatible with present setup
 Facilitating vehicle entry control
 Objective vehicle identification &
classification through centralized
management
30
Vehicle Detection,
Classification, & Identification
Toll Accounting, Collection, &
Violation Detection
Toll Administration & Revenue
Monitoring
Manua
l
Passiv
e RFID
LR
RFID
ANR
Infrastructure compatibility with MLFF
SystemscalabilitytowardsMLFF
Scalable toll system: A layered approach
FrontendcomponentsCentralizedback-officefunctions
Source: Dr. Chathura De Silva
Camera recognize
vehicle no at entry
Registration number
is sent to central
server and
classification is
obtained
For ETC registered
vehicles, account
balance is displayed
Barrier opens & the
leaves
Classification is
obtained from RMV
database
Vehicle can be also
checked for other
parameters like
PR/Watch list,
payment of license
fees, insurance, etc.
Camera
recognize
vehicle no at
exit
Based on registration
no and entry record
toll is computed
ETC vehicles: Toll is
deducted & balance
is displayed
MTC vehicles: Toll is
collected by operator
Barrier opens if the
vehicle is permitted
to enter
Central monitoring
room provides
integrated dashboard
for all aspects
1
2
4
3
5
6
7
9
8
Entry Exit
Source: Dr. Chathura De Silva
5
31
 ETC & ANR technologies are quite mature
 ANR still needed & essential with MLFF
 However, solution should match particular countries context
 Non-standard vehicles
 Three-wheelers & motor cycles
 Should be compatible with existing & proposed infrastructure
 Support phased migration
 Public acceptance though transparency, non-invasive, &
flexibility
 Manual operation to classify unclassified or undented vehicles
32
Use of Technology in Toll Collection & Management

More Related Content

What's hot

Automatic toll collection system (presentation)
Automatic toll collection system (presentation)Automatic toll collection system (presentation)
Automatic toll collection system (presentation)Rohan Kale
 
UiPath Platform - Automation Software
UiPath Platform - Automation SoftwareUiPath Platform - Automation Software
UiPath Platform - Automation SoftwareAndrei Oros
 
Robotic process automation (rpa)
Robotic process automation (rpa)Robotic process automation (rpa)
Robotic process automation (rpa)Aapna Infotech
 
Achieving Business Transformation with UiPath RPA
Achieving Business Transformation with UiPath RPAAchieving Business Transformation with UiPath RPA
Achieving Business Transformation with UiPath RPACelonis
 
IOT Based Smart Parking and Damage Detection Using RFID
IOT Based Smart Parking and Damage Detection Using RFIDIOT Based Smart Parking and Damage Detection Using RFID
IOT Based Smart Parking and Damage Detection Using RFIDMaheshMoses
 
ParkMe Smart Parking Solutions For Cities
ParkMe Smart Parking Solutions For CitiesParkMe Smart Parking Solutions For Cities
ParkMe Smart Parking Solutions For CitiesMark Braibanti
 
How PagerDuty Achieved End-to-End Visibility with Splunk and AWS Webinar Deck
How PagerDuty Achieved End-to-End Visibility with Splunk and AWS Webinar DeckHow PagerDuty Achieved End-to-End Visibility with Splunk and AWS Webinar Deck
How PagerDuty Achieved End-to-End Visibility with Splunk and AWS Webinar DeckAmazon Web Services
 
Orchestrator - Practical Approach to host UiPath Orchestrator
Orchestrator - Practical Approach to host UiPath OrchestratorOrchestrator - Practical Approach to host UiPath Orchestrator
Orchestrator - Practical Approach to host UiPath OrchestratorVibhor Shrivastava
 
Online Car Purchase
Online Car Purchase  Online Car Purchase
Online Car Purchase Vikesh Bawane
 
The Internet of Cars - Towards the Future of the Connected Car
The Internet of Cars - Towards the Future of the Connected CarThe Internet of Cars - Towards the Future of the Connected Car
The Internet of Cars - Towards the Future of the Connected CarJorgen Thelin
 
UiPath - Business Process Automation Software
UiPath - Business Process Automation SoftwareUiPath - Business Process Automation Software
UiPath - Business Process Automation SoftwareDeskover Soft
 
The Business Case for Robotic Process Automation (RPA)
The Business Case for Robotic Process Automation (RPA)The Business Case for Robotic Process Automation (RPA)
The Business Case for Robotic Process Automation (RPA)Joe Tawfik
 
Vechicle accident prevention using eye bilnk sensor ppt
Vechicle accident prevention using eye bilnk sensor pptVechicle accident prevention using eye bilnk sensor ppt
Vechicle accident prevention using eye bilnk sensor pptsatish 486
 
Robotic process automation overview
Robotic process automation overviewRobotic process automation overview
Robotic process automation overviewPascal BORNET
 
Electric_Electronic_Architecture
Electric_Electronic_ArchitectureElectric_Electronic_Architecture
Electric_Electronic_ArchitectureFlorent Bonetto
 
AI Testing What Why and How To Do It?
AI Testing What Why and How To Do It?AI Testing What Why and How To Do It?
AI Testing What Why and How To Do It?KiwiQA
 
3 Amazing Examples of Real-life RPA Use Cases - Signity
3 Amazing Examples of Real-life RPA Use Cases - Signity3 Amazing Examples of Real-life RPA Use Cases - Signity
3 Amazing Examples of Real-life RPA Use Cases - SignityMegha V
 
UiPath 23.4 Product Release Updates
UiPath 23.4 Product Release UpdatesUiPath 23.4 Product Release Updates
UiPath 23.4 Product Release UpdatesDianaGray10
 

What's hot (20)

Automatic toll collection system (presentation)
Automatic toll collection system (presentation)Automatic toll collection system (presentation)
Automatic toll collection system (presentation)
 
UiPath Platform - Automation Software
UiPath Platform - Automation SoftwareUiPath Platform - Automation Software
UiPath Platform - Automation Software
 
Robotic process automation (rpa)
Robotic process automation (rpa)Robotic process automation (rpa)
Robotic process automation (rpa)
 
Achieving Business Transformation with UiPath RPA
Achieving Business Transformation with UiPath RPAAchieving Business Transformation with UiPath RPA
Achieving Business Transformation with UiPath RPA
 
IOT Based Smart Parking and Damage Detection Using RFID
IOT Based Smart Parking and Damage Detection Using RFIDIOT Based Smart Parking and Damage Detection Using RFID
IOT Based Smart Parking and Damage Detection Using RFID
 
ParkMe Smart Parking Solutions For Cities
ParkMe Smart Parking Solutions For CitiesParkMe Smart Parking Solutions For Cities
ParkMe Smart Parking Solutions For Cities
 
Atumatic toll tax system
Atumatic toll tax systemAtumatic toll tax system
Atumatic toll tax system
 
How PagerDuty Achieved End-to-End Visibility with Splunk and AWS Webinar Deck
How PagerDuty Achieved End-to-End Visibility with Splunk and AWS Webinar DeckHow PagerDuty Achieved End-to-End Visibility with Splunk and AWS Webinar Deck
How PagerDuty Achieved End-to-End Visibility with Splunk and AWS Webinar Deck
 
Orchestrator - Practical Approach to host UiPath Orchestrator
Orchestrator - Practical Approach to host UiPath OrchestratorOrchestrator - Practical Approach to host UiPath Orchestrator
Orchestrator - Practical Approach to host UiPath Orchestrator
 
Online Car Purchase
Online Car Purchase  Online Car Purchase
Online Car Purchase
 
The Internet of Cars - Towards the Future of the Connected Car
The Internet of Cars - Towards the Future of the Connected CarThe Internet of Cars - Towards the Future of the Connected Car
The Internet of Cars - Towards the Future of the Connected Car
 
UiPath - Business Process Automation Software
UiPath - Business Process Automation SoftwareUiPath - Business Process Automation Software
UiPath - Business Process Automation Software
 
The Business Case for Robotic Process Automation (RPA)
The Business Case for Robotic Process Automation (RPA)The Business Case for Robotic Process Automation (RPA)
The Business Case for Robotic Process Automation (RPA)
 
Robotic Process Automation Webinar Slides
Robotic Process Automation Webinar SlidesRobotic Process Automation Webinar Slides
Robotic Process Automation Webinar Slides
 
Vechicle accident prevention using eye bilnk sensor ppt
Vechicle accident prevention using eye bilnk sensor pptVechicle accident prevention using eye bilnk sensor ppt
Vechicle accident prevention using eye bilnk sensor ppt
 
Robotic process automation overview
Robotic process automation overviewRobotic process automation overview
Robotic process automation overview
 
Electric_Electronic_Architecture
Electric_Electronic_ArchitectureElectric_Electronic_Architecture
Electric_Electronic_Architecture
 
AI Testing What Why and How To Do It?
AI Testing What Why and How To Do It?AI Testing What Why and How To Do It?
AI Testing What Why and How To Do It?
 
3 Amazing Examples of Real-life RPA Use Cases - Signity
3 Amazing Examples of Real-life RPA Use Cases - Signity3 Amazing Examples of Real-life RPA Use Cases - Signity
3 Amazing Examples of Real-life RPA Use Cases - Signity
 
UiPath 23.4 Product Release Updates
UiPath 23.4 Product Release UpdatesUiPath 23.4 Product Release Updates
UiPath 23.4 Product Release Updates
 

Similar to Use of Technology in Toll Collection & Management

Electronic Toll Collection
Electronic Toll CollectionElectronic Toll Collection
Electronic Toll CollectionAditya Pandey
 
Intelligent transport systems
Intelligent  transport systemsIntelligent  transport systems
Intelligent transport systemsAbhijit Pal
 
Electronic Toll Collection System based on Radio Frequency Identification Sys...
Electronic Toll Collection System based on Radio Frequency Identification Sys...Electronic Toll Collection System based on Radio Frequency Identification Sys...
Electronic Toll Collection System based on Radio Frequency Identification Sys...IJECEIAES
 
e toll and intelligent notification system
e toll and intelligent notification systeme toll and intelligent notification system
e toll and intelligent notification systemAbidh Muhammed
 
Automatic Electronic Toll Collection System for Transportation by using Passi...
Automatic Electronic Toll Collection System for Transportation by using Passi...Automatic Electronic Toll Collection System for Transportation by using Passi...
Automatic Electronic Toll Collection System for Transportation by using Passi...Associate Professor in VSB Coimbatore
 
Intelligent transport system himanshi
Intelligent transport system   himanshiIntelligent transport system   himanshi
Intelligent transport system himanshiPreeti Rashmi
 
intelligent transportation system
intelligent transportation system intelligent transportation system
intelligent transportation system Mohammed Faazil
 
INTELLIGENT TRANSPORTATION SYSTEM .pptx
INTELLIGENT TRANSPORTATION SYSTEM  .pptxINTELLIGENT TRANSPORTATION SYSTEM  .pptx
INTELLIGENT TRANSPORTATION SYSTEM .pptxSanthosh Kumar B V
 
Transportation information system[1]
Transportation information system[1]Transportation information system[1]
Transportation information system[1]HIMANSHUTIWARI151
 
Tolling Concepts Guide: Advance Toll Concepts Systems
Tolling Concepts Guide: Advance Toll Concepts SystemsTolling Concepts Guide: Advance Toll Concepts Systems
Tolling Concepts Guide: Advance Toll Concepts SystemsShandrianJarvisUgwok
 
Intelligent Transportation System
Intelligent Transportation SystemIntelligent Transportation System
Intelligent Transportation SystemJayshiv Thakkar
 
Lifi based automation of toll gate
Lifi based automation of toll gateLifi based automation of toll gate
Lifi based automation of toll gateSachin MS
 
INTELLIGENT TRANSPORT SYSTEM (ITS)
INTELLIGENT TRANSPORT SYSTEM (ITS)INTELLIGENT TRANSPORT SYSTEM (ITS)
INTELLIGENT TRANSPORT SYSTEM (ITS)Chaitanya Sasetti
 
Intelligent transportation system
Intelligent transportation systemIntelligent transportation system
Intelligent transportation systemKunalPolkundwar
 
intelligent transport system bgsbu coet
intelligent transport system bgsbu coetintelligent transport system bgsbu coet
intelligent transport system bgsbu coetjunaid bashir
 
Intelligent Transportation System
Intelligent Transportation SystemIntelligent Transportation System
Intelligent Transportation SystemJin-Hyeok Yang
 
Inteligent transport system
Inteligent transport systemInteligent transport system
Inteligent transport systemBhavik A Shah
 

Similar to Use of Technology in Toll Collection & Management (20)

Electronic Toll Collection
Electronic Toll CollectionElectronic Toll Collection
Electronic Toll Collection
 
Intelligent transport systems
Intelligent  transport systemsIntelligent  transport systems
Intelligent transport systems
 
Electronic Toll Collection System based on Radio Frequency Identification Sys...
Electronic Toll Collection System based on Radio Frequency Identification Sys...Electronic Toll Collection System based on Radio Frequency Identification Sys...
Electronic Toll Collection System based on Radio Frequency Identification Sys...
 
e toll and intelligent notification system
e toll and intelligent notification systeme toll and intelligent notification system
e toll and intelligent notification system
 
final.pptx
final.pptxfinal.pptx
final.pptx
 
Automatic Electronic Toll Collection System for Transportation by using Passi...
Automatic Electronic Toll Collection System for Transportation by using Passi...Automatic Electronic Toll Collection System for Transportation by using Passi...
Automatic Electronic Toll Collection System for Transportation by using Passi...
 
Intelligent transport system himanshi
Intelligent transport system   himanshiIntelligent transport system   himanshi
Intelligent transport system himanshi
 
archana50337.pptx
archana50337.pptxarchana50337.pptx
archana50337.pptx
 
intelligent transportation system
intelligent transportation system intelligent transportation system
intelligent transportation system
 
INTELLIGENT TRANSPORTATION SYSTEM .pptx
INTELLIGENT TRANSPORTATION SYSTEM  .pptxINTELLIGENT TRANSPORTATION SYSTEM  .pptx
INTELLIGENT TRANSPORTATION SYSTEM .pptx
 
Transportation information system[1]
Transportation information system[1]Transportation information system[1]
Transportation information system[1]
 
Tolling Concepts Guide: Advance Toll Concepts Systems
Tolling Concepts Guide: Advance Toll Concepts SystemsTolling Concepts Guide: Advance Toll Concepts Systems
Tolling Concepts Guide: Advance Toll Concepts Systems
 
Intelligent Transportation System
Intelligent Transportation SystemIntelligent Transportation System
Intelligent Transportation System
 
Lifi based automation of toll gate
Lifi based automation of toll gateLifi based automation of toll gate
Lifi based automation of toll gate
 
INTELLIGENT TRANSPORT SYSTEM (ITS)
INTELLIGENT TRANSPORT SYSTEM (ITS)INTELLIGENT TRANSPORT SYSTEM (ITS)
INTELLIGENT TRANSPORT SYSTEM (ITS)
 
Intelligent transportation system
Intelligent transportation systemIntelligent transportation system
Intelligent transportation system
 
intelligent transport system bgsbu coet
intelligent transport system bgsbu coetintelligent transport system bgsbu coet
intelligent transport system bgsbu coet
 
Intelligent Transportation System
Intelligent Transportation SystemIntelligent Transportation System
Intelligent Transportation System
 
Inteligent transport system
Inteligent transport systemInteligent transport system
Inteligent transport system
 
Electronic toll system
Electronic toll systemElectronic toll system
Electronic toll system
 

More from Dilum Bandara

Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine LearningDilum Bandara
 
Time Series Analysis and Forecasting in Practice
Time Series Analysis and Forecasting in PracticeTime Series Analysis and Forecasting in Practice
Time Series Analysis and Forecasting in PracticeDilum Bandara
 
Introduction to Dimension Reduction with PCA
Introduction to Dimension Reduction with PCAIntroduction to Dimension Reduction with PCA
Introduction to Dimension Reduction with PCADilum Bandara
 
Introduction to Descriptive & Predictive Analytics
Introduction to Descriptive & Predictive AnalyticsIntroduction to Descriptive & Predictive Analytics
Introduction to Descriptive & Predictive AnalyticsDilum Bandara
 
Introduction to Concurrent Data Structures
Introduction to Concurrent Data StructuresIntroduction to Concurrent Data Structures
Introduction to Concurrent Data StructuresDilum Bandara
 
Hard to Paralelize Problems: Matrix-Vector and Matrix-Matrix
Hard to Paralelize Problems: Matrix-Vector and Matrix-MatrixHard to Paralelize Problems: Matrix-Vector and Matrix-Matrix
Hard to Paralelize Problems: Matrix-Vector and Matrix-MatrixDilum Bandara
 
Introduction to Map-Reduce Programming with Hadoop
Introduction to Map-Reduce Programming with HadoopIntroduction to Map-Reduce Programming with Hadoop
Introduction to Map-Reduce Programming with HadoopDilum Bandara
 
Embarrassingly/Delightfully Parallel Problems
Embarrassingly/Delightfully Parallel ProblemsEmbarrassingly/Delightfully Parallel Problems
Embarrassingly/Delightfully Parallel ProblemsDilum Bandara
 
Introduction to Warehouse-Scale Computers
Introduction to Warehouse-Scale ComputersIntroduction to Warehouse-Scale Computers
Introduction to Warehouse-Scale ComputersDilum Bandara
 
Introduction to Thread Level Parallelism
Introduction to Thread Level ParallelismIntroduction to Thread Level Parallelism
Introduction to Thread Level ParallelismDilum Bandara
 
CPU Memory Hierarchy and Caching Techniques
CPU Memory Hierarchy and Caching TechniquesCPU Memory Hierarchy and Caching Techniques
CPU Memory Hierarchy and Caching TechniquesDilum Bandara
 
Data-Level Parallelism in Microprocessors
Data-Level Parallelism in MicroprocessorsData-Level Parallelism in Microprocessors
Data-Level Parallelism in MicroprocessorsDilum Bandara
 
Instruction Level Parallelism – Hardware Techniques
Instruction Level Parallelism – Hardware TechniquesInstruction Level Parallelism – Hardware Techniques
Instruction Level Parallelism – Hardware TechniquesDilum Bandara
 
Instruction Level Parallelism – Compiler Techniques
Instruction Level Parallelism – Compiler TechniquesInstruction Level Parallelism – Compiler Techniques
Instruction Level Parallelism – Compiler TechniquesDilum Bandara
 
CPU Pipelining and Hazards - An Introduction
CPU Pipelining and Hazards - An IntroductionCPU Pipelining and Hazards - An Introduction
CPU Pipelining and Hazards - An IntroductionDilum Bandara
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
High Performance Networking with Advanced TCP
High Performance Networking with Advanced TCPHigh Performance Networking with Advanced TCP
High Performance Networking with Advanced TCPDilum Bandara
 
Introduction to Content Delivery Networks
Introduction to Content Delivery NetworksIntroduction to Content Delivery Networks
Introduction to Content Delivery NetworksDilum Bandara
 
Peer-to-Peer Networking Systems and Streaming
Peer-to-Peer Networking Systems and StreamingPeer-to-Peer Networking Systems and Streaming
Peer-to-Peer Networking Systems and StreamingDilum Bandara
 

More from Dilum Bandara (20)

Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine Learning
 
Time Series Analysis and Forecasting in Practice
Time Series Analysis and Forecasting in PracticeTime Series Analysis and Forecasting in Practice
Time Series Analysis and Forecasting in Practice
 
Introduction to Dimension Reduction with PCA
Introduction to Dimension Reduction with PCAIntroduction to Dimension Reduction with PCA
Introduction to Dimension Reduction with PCA
 
Introduction to Descriptive & Predictive Analytics
Introduction to Descriptive & Predictive AnalyticsIntroduction to Descriptive & Predictive Analytics
Introduction to Descriptive & Predictive Analytics
 
Introduction to Concurrent Data Structures
Introduction to Concurrent Data StructuresIntroduction to Concurrent Data Structures
Introduction to Concurrent Data Structures
 
Hard to Paralelize Problems: Matrix-Vector and Matrix-Matrix
Hard to Paralelize Problems: Matrix-Vector and Matrix-MatrixHard to Paralelize Problems: Matrix-Vector and Matrix-Matrix
Hard to Paralelize Problems: Matrix-Vector and Matrix-Matrix
 
Introduction to Map-Reduce Programming with Hadoop
Introduction to Map-Reduce Programming with HadoopIntroduction to Map-Reduce Programming with Hadoop
Introduction to Map-Reduce Programming with Hadoop
 
Embarrassingly/Delightfully Parallel Problems
Embarrassingly/Delightfully Parallel ProblemsEmbarrassingly/Delightfully Parallel Problems
Embarrassingly/Delightfully Parallel Problems
 
Introduction to Warehouse-Scale Computers
Introduction to Warehouse-Scale ComputersIntroduction to Warehouse-Scale Computers
Introduction to Warehouse-Scale Computers
 
Introduction to Thread Level Parallelism
Introduction to Thread Level ParallelismIntroduction to Thread Level Parallelism
Introduction to Thread Level Parallelism
 
CPU Memory Hierarchy and Caching Techniques
CPU Memory Hierarchy and Caching TechniquesCPU Memory Hierarchy and Caching Techniques
CPU Memory Hierarchy and Caching Techniques
 
Data-Level Parallelism in Microprocessors
Data-Level Parallelism in MicroprocessorsData-Level Parallelism in Microprocessors
Data-Level Parallelism in Microprocessors
 
Instruction Level Parallelism – Hardware Techniques
Instruction Level Parallelism – Hardware TechniquesInstruction Level Parallelism – Hardware Techniques
Instruction Level Parallelism – Hardware Techniques
 
Instruction Level Parallelism – Compiler Techniques
Instruction Level Parallelism – Compiler TechniquesInstruction Level Parallelism – Compiler Techniques
Instruction Level Parallelism – Compiler Techniques
 
CPU Pipelining and Hazards - An Introduction
CPU Pipelining and Hazards - An IntroductionCPU Pipelining and Hazards - An Introduction
CPU Pipelining and Hazards - An Introduction
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
High Performance Networking with Advanced TCP
High Performance Networking with Advanced TCPHigh Performance Networking with Advanced TCP
High Performance Networking with Advanced TCP
 
Introduction to Content Delivery Networks
Introduction to Content Delivery NetworksIntroduction to Content Delivery Networks
Introduction to Content Delivery Networks
 
Peer-to-Peer Networking Systems and Streaming
Peer-to-Peer Networking Systems and StreamingPeer-to-Peer Networking Systems and Streaming
Peer-to-Peer Networking Systems and Streaming
 
Mobile Services
Mobile ServicesMobile Services
Mobile Services
 

Recently uploaded

RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5
RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5
RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5T.D. Shashikala
 
Construction method of steel structure space frame .pptx
Construction method of steel structure space frame .pptxConstruction method of steel structure space frame .pptx
Construction method of steel structure space frame .pptxwendy cai
 
retail automation billing system ppt.pptx
retail automation billing system ppt.pptxretail automation billing system ppt.pptx
retail automation billing system ppt.pptxfaamieahmd
 
DR PROF ING GURUDUTT SAHNI WIKIPEDIA.pdf
DR PROF ING GURUDUTT SAHNI WIKIPEDIA.pdfDR PROF ING GURUDUTT SAHNI WIKIPEDIA.pdf
DR PROF ING GURUDUTT SAHNI WIKIPEDIA.pdfDrGurudutt
 
Teachers record management system project report..pdf
Teachers record management system project report..pdfTeachers record management system project report..pdf
Teachers record management system project report..pdfKamal Acharya
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientistgettygaming1
 
NO1 Pandit Black Magic Removal in Uk kala jadu Specialist kala jadu for Love ...
NO1 Pandit Black Magic Removal in Uk kala jadu Specialist kala jadu for Love ...NO1 Pandit Black Magic Removal in Uk kala jadu Specialist kala jadu for Love ...
NO1 Pandit Black Magic Removal in Uk kala jadu Specialist kala jadu for Love ...Amil baba
 
İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopEmre Günaydın
 
internship exam ppt.pptx on embedded system and IOT
internship exam ppt.pptx on embedded system and IOTinternship exam ppt.pptx on embedded system and IOT
internship exam ppt.pptx on embedded system and IOTNavyashreeS6
 
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringC Sai Kiran
 
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical EngineeringC Sai Kiran
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdfKamal Acharya
 
Peek implant persentation - Copy (1).pdf
Peek implant persentation - Copy (1).pdfPeek implant persentation - Copy (1).pdf
Peek implant persentation - Copy (1).pdfAyahmorsy
 
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and VisualizationKIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and VisualizationDr. Radhey Shyam
 
School management system project report.pdf
School management system project report.pdfSchool management system project report.pdf
School management system project report.pdfKamal Acharya
 
Research Methodolgy & Intellectual Property Rights Series 2
Research Methodolgy & Intellectual Property Rights Series 2Research Methodolgy & Intellectual Property Rights Series 2
Research Methodolgy & Intellectual Property Rights Series 2T.D. Shashikala
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-IVigneshvaranMech
 
ONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdf
ONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdfONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdf
ONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdfKamal Acharya
 
Electrostatic field in a coaxial transmission line
Electrostatic field in a coaxial transmission lineElectrostatic field in a coaxial transmission line
Electrostatic field in a coaxial transmission lineJulioCesarSalazarHer1
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Krakówbim.edu.pl
 

Recently uploaded (20)

RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5
RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5
RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5
 
Construction method of steel structure space frame .pptx
Construction method of steel structure space frame .pptxConstruction method of steel structure space frame .pptx
Construction method of steel structure space frame .pptx
 
retail automation billing system ppt.pptx
retail automation billing system ppt.pptxretail automation billing system ppt.pptx
retail automation billing system ppt.pptx
 
DR PROF ING GURUDUTT SAHNI WIKIPEDIA.pdf
DR PROF ING GURUDUTT SAHNI WIKIPEDIA.pdfDR PROF ING GURUDUTT SAHNI WIKIPEDIA.pdf
DR PROF ING GURUDUTT SAHNI WIKIPEDIA.pdf
 
Teachers record management system project report..pdf
Teachers record management system project report..pdfTeachers record management system project report..pdf
Teachers record management system project report..pdf
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientist
 
NO1 Pandit Black Magic Removal in Uk kala jadu Specialist kala jadu for Love ...
NO1 Pandit Black Magic Removal in Uk kala jadu Specialist kala jadu for Love ...NO1 Pandit Black Magic Removal in Uk kala jadu Specialist kala jadu for Love ...
NO1 Pandit Black Magic Removal in Uk kala jadu Specialist kala jadu for Love ...
 
İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering Workshop
 
internship exam ppt.pptx on embedded system and IOT
internship exam ppt.pptx on embedded system and IOTinternship exam ppt.pptx on embedded system and IOT
internship exam ppt.pptx on embedded system and IOT
 
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
 
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
 
Peek implant persentation - Copy (1).pdf
Peek implant persentation - Copy (1).pdfPeek implant persentation - Copy (1).pdf
Peek implant persentation - Copy (1).pdf
 
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and VisualizationKIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization
KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization
 
School management system project report.pdf
School management system project report.pdfSchool management system project report.pdf
School management system project report.pdf
 
Research Methodolgy & Intellectual Property Rights Series 2
Research Methodolgy & Intellectual Property Rights Series 2Research Methodolgy & Intellectual Property Rights Series 2
Research Methodolgy & Intellectual Property Rights Series 2
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
 
ONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdf
ONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdfONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdf
ONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdf
 
Electrostatic field in a coaxial transmission line
Electrostatic field in a coaxial transmission lineElectrostatic field in a coaxial transmission line
Electrostatic field in a coaxial transmission line
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Kraków
 

Use of Technology in Toll Collection & Management

  • 1. Dilum Bandara, PhD Dept. of Computer Science & Engineering, University of Moratuwa Dilum.Bandara@uom.lk Some slides adopted from Dr. Chathura De Silva TRF 2018, Aug 3, 2018
  • 2. 2 Source: PAG Electronics Source: http://www.ft.lk Source: http://www.etc.vn
  • 3. Today 2025 MTC Stop-and-go ETC Single-lane limited flow MLFF E01, OCH, CKE Only on CKE at present May on E01, OCH when connected Toll gates on entry/exit ramps Front office staff Facilitates vehicle entry control Limited throughput On-expressway gantries Back-office monitoring Violation detection instead of entry control High-throughput A complete transformation in toll administration 3 Source: Dr. Chathura De Silva
  • 4.  Public or private road for which a fee (or toll) is charged for passage  Toll based on  Distance traveled  Time of day  Vehicle type or no of axels  Congestion level  Types  Closed systems – entry & exist gates  Open systems  Electronic Toll Collection (ETC)  Enhanced convenience for drivers by enabling cashless toll collection  Relatively fast 4
  • 6. Manned Tollbooth Systems Self-Service Automated Tollbooth Systems Unmanned Wireless Automated Tollbooth Systems Open Toll Roads • Manual Toll Collection (MTC) • Stop & Go • Easy to setup • Cash based • Slow • Costly to operate • Self service by driver • Stop & Go • Cash or card based • More difficult to setup • Language & technology barriers • Slow • Costly to operate • Use preinstalled wireless transponders • Or Automatic Number Plate Recognition (ANR) • Card based payments • Costly to setup • Single Lane • Limited flow (physical constrains) • Multi-lane • Free flow 6
  • 8. 8 Pros Cons • Works better with single entry & single exist • No need of pre-registration • Better privacy for drivers • Language & technology barriers • Slow & arbitrary delays • Need exact amount or card-based payment • Sock management of pass cards or tokens • Pass card or token doesn’t have information to bill in case of system failure • Human support is still need to address issues & violators
  • 9.  Based on RFID (Radio Frequency ID)  User identified through unique ID  Can read & write data  Difficult to counterfeit  Modest cost 9 Source: root labs Source: Electronic Toll Collection (ETC) System by Rohan S. Kale
  • 10.  Omnidirectional antenna  Use active RFID tags  Battery could last for months  Interaction time with 10m range  @ 100 kmph – 720 ms  @ 15 kmph – 4.8s  Multi-tag reading with collision detection  CKE (E03) recommends 20m inter-vehicle gap 10
  • 11. 11
  • 12. • World largest multi-lane free flow & distance-based system • Operational efficiencies • Toll collection rate 99.8% • System availability 99.992% • Environmental benefits • Petrol Saving > 120 million liters • CO2 reduction > 290,000 tons • Time Saving > 375,000 hrs/ Day 12 Source: FETC, Taiwan
  • 15. 15
  • 16. 16 Pros Cons • Supports limited or free flow • Supports Multi-Lane Free Flow (MLFW) • Use on multiple vehicles • Discounts for using ETC • Electronic payment settlement • Full activity logging • Less chance of corruption • Can use to estimate vehicle flow rate • Manual is still need to support vehicles without transponders • Cost of transponder to driver • Need pre-registration • Borrowed & rented vehicles • Vehicles on carriers • Battery issues • Same transponder should be useable across all toll roads • Privacy issues due to tracking • Transponder could be hacked
  • 18. 18  Triggered by a laser that detect vehicle  Capture front & rear number plates  Number detected based on optical character recognition (OCR)  Typically coupled with number plat database  Validation  Vehicle type detection Source: sensorlink.com.my
  • 19.  Single & 2-lane detection  25 - 35m detection range  Detection up to 250 kmph  Day & night time operation  98%+ recognition rate  Confidence level of ANR  Speed, travel direction, vehicle class/brand detection  Traffic flow estimation  Images as evidence  Video streaming  Waterproof IP68 19 Source: siemens.com/mobility
  • 20. 20 Pros Cons • Supports Multi-Lane Free Flow (MLFW) • Works with any vehicle • Number attached to vehicle not owner • No prior registration needed • No physical installation • Electronic payment settlement • Less chance of corruption • Full activity logging • Speed detection • Can use to estimate vehicle flow rate • Vehicles on carriers skipped • Manual is still need to support undetectable number plates • Non-standard number plates • Vehicles with trailers • Not having a check digit for number validation • Privacy issues due to tracking • Transponder could be hacked
  • 21.  Wireless transponders are more wide-spread  Recent developments of ANR technologies make them toll road ready  Typically wireless transponder & ANR used together  Number plate with RFID tag  Taiwan RFID-based ETC  GNSS: Truck Toll Germany  Sri Lanka needs entry control due to three-wheelers & motor cycles  Better public acceptance when more transparent & non-invasive  Some manual intervention is still needed  Faculty RFID tags  Need to handle unregistered vehicles  Undetectable number plates  Be ready to work incase of system failure  Interoperability across vehicles & road segments  Use of existing networking (e.g., CCTV) & IT infrastructure 21
  • 23.  Toll based on  Distance traveled  Time of day  Vehicle type or axels  Congestion level 23 Source: Electronic Toll Collection - Approaches, technologies, experiences by Fritz Busch & Andreas Rau
  • 24. 24
  • 27. 27
  • 29.  Integrated system enables real-time revenue data & statistics  Prepaid  CKK connects BoC accounts  Cards  Attach credit cards  Should support contemporary potions such as  Online pre-paid  Mobile Apps  Mobile cash  NFC-base touch cards 29 Source: http://www.midlink.ie
  • 30. Key Design Considerations  Suitability in short-term deployment (MTC/ETC as in E01, OCH, & CKE) while having scalability towards MLFF  Compatibility among 4-sections in E01 extension & existing network  Facilitate migration of existing systems, compatible with present setup  Facilitating vehicle entry control  Objective vehicle identification & classification through centralized management 30 Vehicle Detection, Classification, & Identification Toll Accounting, Collection, & Violation Detection Toll Administration & Revenue Monitoring Manua l Passiv e RFID LR RFID ANR Infrastructure compatibility with MLFF SystemscalabilitytowardsMLFF Scalable toll system: A layered approach FrontendcomponentsCentralizedback-officefunctions Source: Dr. Chathura De Silva
  • 31. Camera recognize vehicle no at entry Registration number is sent to central server and classification is obtained For ETC registered vehicles, account balance is displayed Barrier opens & the leaves Classification is obtained from RMV database Vehicle can be also checked for other parameters like PR/Watch list, payment of license fees, insurance, etc. Camera recognize vehicle no at exit Based on registration no and entry record toll is computed ETC vehicles: Toll is deducted & balance is displayed MTC vehicles: Toll is collected by operator Barrier opens if the vehicle is permitted to enter Central monitoring room provides integrated dashboard for all aspects 1 2 4 3 5 6 7 9 8 Entry Exit Source: Dr. Chathura De Silva 5 31
  • 32.  ETC & ANR technologies are quite mature  ANR still needed & essential with MLFF  However, solution should match particular countries context  Non-standard vehicles  Three-wheelers & motor cycles  Should be compatible with existing & proposed infrastructure  Support phased migration  Public acceptance though transparency, non-invasive, & flexibility  Manual operation to classify unclassified or undented vehicles 32

Editor's Notes

  1. EO1 – Colombo – Matara OCH –Outer Circular Highway CKE – Colombo – Katunayaka Expressway (E03) MLFF – Multi Lane Free Flow
  2. DSRC – Dedicated Short Range Operation
  3. GNSS – Global Navigation Satellite Systems
  4. DSRC & ANR based