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Smart Mobility by Optimizing the Traffic Lights: A new Tool for Traffic Control Centers

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Daily, we have to deal with traffic congestions, jams, long travel times, and pollution, becouse of the large number of vehicle and citicens moving around.

These facts rise the inefficiency of current traffic control systems, designed to set local control policies but unable to optimize the global, real city scenario.

This presentation propose the use of micro-simulations and advanced bio-inspired techniques in a new tool to help traffic control officers while making good decisions regarding the city traffic.

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Smart Mobility by Optimizing the Traffic Lights: A new Tool for Traffic Control Centers

  1. 1. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 1 Smart Mobility by Optimizing the Traffic Lights: A new Tool for Traffic Control Centers Yesnier Bravo, Javier Ferrer, Gabriel Luque, Enrique Alba Universidad de Málaga, Spain Introduction Background Proposal Practical Use Conclusions
  2. 2. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 2 3 Table of Contents Introduction Related Work The HITUL System Practical Use and Benefits Conclusions and Future Developments 1 2 4 5 Introduction Background Proposal Practical Use Conclusions
  3. 3. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 3 Introduction and Contribution Traffic congestion, jams Long travel times Pollution Our contribution: Provide a support tool that allow traffic managers to take real traffic conditions and compute optimal holistic TLPs using bio-inspired techniques and micro-simulations Traffic Lights Plan (TLP): assignment of the time span for each phase in the sequence of all intersections at an urban area Introduction and contributionIntroduction Background Proposal Practical Use Conclusions
  4. 4. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 4 Related work Related Work and major issues Industry Major issues Requires additional infrastructures A limited number of traffic elements (roads, traffic lights, urban areas) Consider a single optimization goal (e.g. reduce the number of stops) No quantification of the benefits on emissions and other indicators Academia M/M/N Queuing Metaheuristics VANETS Fuzzy systems RFID Introduction Background Proposal Practical Use Conclusions
  5. 5. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 5 The HITUL System The HITUL System Functional Architecture Optimization Strategy Main features Combine different objectives Consider different traffic profiles Select an urban zone or optimize the whole city traffic Comparison between TLPs Export / Import optimal TLPs HITUL: Holistic Intelligence for Traffic Urban Lights -- A support tool for decision making of an officer in Traffic Control Centers (TCC) Introduction Background Proposal Practical Use Conclusions
  6. 6. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 6 Underlying Functional Architecture The HITUL System Functional Architecture Optimization Strategy Introduction Background Proposal Practical Use Conclusions
  7. 7. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 7 Optimization Strategy The HITUL System Functional Architecture Optimization Strategy Solution encoding: vector of integers where each element represents a phase duration in the phase sequence of all TLs along the city intersections Fitness assignment SelectionRecombination Mutation Evolutionary search Micro- simulationPlanning algorithm Phase duration = 36’’ Actual phase of intersection “GG rr …”offs= 5’’ Introduction Background Proposal Practical Use Conclusions
  8. 8. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 8 Practical Case Study of Malaga City Case study of Málaga Practical Use and benefits Real problem instances 10 districts + the whole city 961 intersections (from 4 to 16 TL each) largest instance: 3800 phases ([30,120]) , 961 offsets ([-30,30]) => Search space: 913800 × 61961 Open information services, e.g. real city maps from OpenStreetMap Open traffic data: traffic profiles for working day, rush hour working day, Saturday, ... Base plans follow standard models provided by Experts Planning algorithm Evolutionary algorithms: GA, NSGA-II Popsize 10, Single-point crossover (Px=1.0), Integer polynomial mutation (Pm=0.1) JMetal standard parameter settings on Github Introduction Background Proposal Practical Use Conclusions
  9. 9. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 9 Restricting Zone to Optimize Introduction Background Proposal Practical Use Conclusions Case Study of Málaga Practical use and benefits Huelin Malagueta Whole city Malaga Centre Enable localized optimization on certain districts or the whole city
  10. 10. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 10 Interactive and Detailed Graphs Center Malaga District / peak-working day Optimized Solution Emissions reduction Base plan Provides continuous information on target goal and environmental benefits Introduction Background Proposal Practical Use Conclusions Case Study of Málaga Practical use and benefits
  11. 11. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 11 Multi-decision Support Decision-maker can select the solution that best balance the two objectives selected according to real city needs Less waiting time Quantification of environmental benefitsLess emissions Introduction Background Proposal Practical Use Conclusions Case Study of Málaga Practical use and benefits
  12. 12. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 12 Comparison Between TLPs Highlighting the importance of each individual Traffic Lights in the final plan Introduction Background Proposal Practical Use Conclusions Case Study of Málaga Practical use and benefits
  13. 13. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 13 Conclusions and Future Works A new decision support tool, named HITUL, for Traffic Control Centers, has been developed Additional facilities for making easier the decisions of traffic managers: Comparison between traffic plans Highlighting the importance of each individual TL in the final plan Ability to restrict the zone to be considered, the traffic profile, main goal… We have tested the system in Malaga, a medium-large city, demonstrating real support for decision makers regarding the planning of the city traffic As future work: Extend the study to other cities (different networks topologies and traffic densities) Apply new optimization algorithms (including hybrid approaches) More work on data analysis Integration with other systems that provide us with more city data in real time (e.g. based on sensors) for more accurate solutions Introduction Background Proposal Practical Use Conclusions Conclusions and future works
  14. 14. Y. Bravo, J. Ferrer, G. Luque, & E. Alba Smart Mobility by Optimizing the Traffic Lights 14 Smart Mobility by Optimizing the Traffic Lights: A new Tool for Traffic Control Centers Yesnier Bravo, Javier Ferrer, Gabriel Luque, Enrique Alba Universidad de Málaga, Spain Introduction Background Proposal Practical Use Conclusions

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