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Smart-CT2016 - CTPATH

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Slides of the article "CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentally Friendly Routing Paths" for the congress Smart-CT, Málaga (Spain), June 2016

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Smart-CT2016 - CTPATH

  1. 1. 1 / 11Málaga, Spain, June 15-17, 2016 CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentally Friendly Routing Paths Christian Cintrano, Daniel H. Stolfi, Jamal Toutouh, Francisco Chicano, and Enrique Alba Introduction Background Ant Colony Optimization Experiments Conclusions & Future Work
  2. 2. 2 / 11Málaga, Spain, June 15-17, 2016 • Modern cities are growing • Serious problems related with traffic flows Motivation Motivation Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work Safety Eficiency Pollution
  3. 3. 3 / 11Málaga, Spain, June 15-17, 2016 • System to offer vehicle road paths • Two apps: web and mobile (Android) Explicit State MC Safety Properties State Explosion Heuristic MC System Overview Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work • Two objectives • Information sources • Real time measure data • Driving Profile • Vehicle Information Fast Ecological
  4. 4. 4 / 11Málaga, Spain, June 15-17, 2016 Road Model Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work Explicit State MC Safety Properties State Explosion Heuristic MC
  5. 5. 5 / 11Málaga, Spain, June 15-17, 2016 Speed Profile for a Path Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work Explicit State MC Safety Properties State Explosion Heuristic MC
  6. 6. 6 / 11Málaga, Spain, June 15-17, 2016 • Two goals: reduce time and CO2 emissions •Multi-objective problem Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work Explicit State MC Safety Properties State Explosion Heuristic MC Objective Functions Speed Profile → Time AND HBEFA model → CO2 emissions
  7. 7. 7 / 11Málaga, Spain, June 15-17, 2016 Optimization Engine Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work Metaheuristics ACO ACOhg
  8. 8. 8 / 11Málaga, Spain, June 15-17, 2016 Characteristics and Components Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work Models Parameters Results Previous Results
  9. 9. 9 / 11Málaga, Spain, June 15-17, 2016 Central server System Architecture Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work Models Parameters Results Previous Results Communication
  10. 10. 10 / 11Málaga, Spain, June 15-17, 2016 • Urban routes personalized for each car and driver • Multi-objective approach, suggest fast and ecological path • New traffic model and driving profile to generate actual real solutions Conclusions Future Work • Analyse and test different ways to model the current traffic data (in progress) • Take into account more variables to do more realistic the driving profile (in progress) Conclusions and Future Work Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work Conclusions and Future Work
  11. 11. 11 / 11Málaga, Spain, June 15-17, 2016 CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentally Friendly Routing Paths Christian Cintrano, Daniel H. Stolfi, Jamal Toutouh, Francisco Chicano, and Enrique Alba Introduction Background Ant Colony Optimization CTPATH System Conclusions & Future Work

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