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TRACTS-Net: An Intelligent Road Damage Detection System

PRODUCT BACKGROUND

DEVELOPED PRODUCT ARCHITECHTURE

APPLICABILITY

USEFULNESS

  • To secure the way toward discovering potholes and inform the maintenance team rapidly.
  • To reduce the false alarm in receiving the potholes information and pinpoint it exact location.
  • To help the authorities (e.g. JKR) to monitor and repair the damaged road visualized on map and develop clean route for transportation.
  • Well fit to develop SMART City towards INDUSTRY 4.0.

NOVELTY

  • An intelligent road damage detection system
  • A novel Communication Networking Technique is introduced named “Crowd Associated enabled Team-Forming Network”

COMMERCIAL POTENTIAL

 

SYSTEM COMPONENTS

  • Microcontroller: ESP32 (32-bit LX6 microprocessor(s))
  • Sensors: Ultrasonic Sensor 3-pcs
  • GPS Module

Figure 1: System Architecture Diagram

COLLABORATION

ACKNOWLEDGEMENTS

  • International Grant: UIC191515 [RM 46,000], Indonesia
  • FRGS: RDU190165 [RM 60,400], KPT Grant
  • Flagship Grant: RDU192202 [RM 84,000], UMP

INVENTOR : DR. MD ARAFATUR RAHMAN�FACULTY : XXXXXX

University: XXXXX�EMAIL :

CO-INVENTORS

  1. XXXXXX
  2. XXXX

Coventry University

(LoI: 31-01-2020 )

PT Fusi Global Teknologi

(MoA: 10-2-020 )

IBM CoE

(Dr Rahman is the Fellow of IBM CoE)

PRODUCT CHARACTERISTICS

Figure 3: Potholes detected visualize in Google Maps: Experiment conducted for an arbitrary period of time

Figure 4: Potholes detected as significantly differ the distance among the sensors

Figure 5:

System Accuracy

Figure 7:

Number of False Negatives (NFN)

Figure 6:

Number of False Positives (NFP)

    • Government Agencies
    • Public transportation
    • Reduce the cost in repairing damaged cars
    • Reduce road maintenance Cost
    • Global fleet market: (8billion USD – 11billion)
    • Jabatan Kerja Raya (JKR)
    • City Council
    • Municipality

Potential Market

Market Size

Market Survey

Social Benefits

PRODUCT COST =

RM 150.00

TRL 7

PUBLICATIONS

  • Crowd Associated Network: Exploiting over a smart garbage management system, IEEE Communications Magazine, 2017. (WoS Q1, IF = 11.05)
  • IoT for Energy Efficient Green Highway Lighting Systems: Challenges and Issues, Journal of Network and Computer Applications (Elsevier), 2020. (WoS Q1 IF= 5.27).
  • A Scalable Hybrid MAC Strategy for Traffic-Differentiated IoT-enabled Intra-Vehicular Networks, Computer Communications (Elsevier), 2020. (WoS Q2 IF= 2.76).

Figure 2: Product Workflow

AWARDS

  • Best of The Best, Creation, Innovation, Technology & Research Exposition, UMP, 2020
  • Gold Medal, Creation, Innovation, Technology & Research Exposition, UMP, 2020

TM = Team Member

AV = Agent Vehicle

Th = Threshold

EEPROM = Electrically Erasable Programmable ROM

PRODUCT

Accuracy goes almost

100% while exploiting Crowd Associated TFN

False Positive goes almost 0% while exploiting Crowd Associated TFN

False Negative goes almost 0% while exploiting Crowd Associated TFN

  • Damaged roads are one of the barriers of smart

transportation system and thus considered as an

obstacle to develop Smart City.

  • Moreover, due to road damage, several accidents

occur every year and causes numerous injuries as well as lives.

  • In order to abate the casualties and develop a sustainable road maintenance system, this product enables users to report damage roads to the authorities automatically.

Potholes

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