Road Traffic Management Public University of Navarre A. J. Bermejo, - - PowerPoint PPT Presentation

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Road Traffic Management Public University of Navarre A. J. Bermejo, - - PowerPoint PPT Presentation

Oct 15, 2022 229 likes •344 views

Ontology Based Road Traffic Management Public University of Navarre A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Crdoba OUTLINE Scenario 1. State of Art 2. Solution 3. Conclusions 4. Future steps 5. Simulation 6. Public

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SLIDE 1

Ontology Based Road Traffic Management

Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba
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SLIDE 2

OUTLINE

1.

Scenario

2.

State of Art

3.

Solution

4.

Conclusions

5.

Future steps

6.

Simulation

2 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management

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SLIDE 3
  • 1. Scenario

 Emergency vehicle  Free way  Fast and Safe

3 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management

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SLIDE 4
  • 2. State of Art

 Plenty of projects  No solutions

  • Dangerous scenarios

 Too basic solutions

  • Alternative routes
  • Alarm signal forwarding
  • Basic movements

4 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management

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SLIDE 5
  • 3. Solution

 Distribute vehicles  Minimum alteration in traffic flow  System characteristics

  • Small areas
  • Distributed system
  • Collaboration
  • Fast decision taking
  • Individualized solutions

5 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management

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SLIDE 6
  • 3. Solution

 ONTOLOGY

  • Decision taking system (SWRL rules)

 Positions and speeds

  • Real-time solutions (Jess reasoner)
  • Consensus
  • Strategy

 Vehicles to slowest lane  Gaps assignment

6 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management

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SLIDE 7
  • 3. Solution

 System Architecture 1 2 3

Solutions:

  • Accelerate
  • SoftAccelerate
  • Decelerate
  • SoftDecelerate
  • MaintainSpeed
  • MaintainDistanceWithCarInFront
  • ChangeLane

7 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management

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SLIDE 8
  • 4. Conclusions

 Real-time solutions (300 ms)  Drivers:

  • No indecision
  • Straightforward execution
  • Common sense

 Continuous monitoring  Other approaches:

  • Objects on the road
  • Reduction in number of lanes (traffic controls, road works,

accidents,...)

  • Car accidents

8 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management

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SLIDE 9
  • 5. Future steps

 Standardized ontology (A3ME)  Complex scenarios  Infrastructures  Atmospheric conditions

9 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management

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SLIDE 10
  • 6. Simulation

Questions?

antoniojesus.bermejo@unavarra.es

Thank you

10 Public University of Navarre

  • A. J. Bermejo, J. Villadangos, J.J. Astrain, A. Córdoba

Ontology Based Road Traffic Management