1. Benjamin N. Passow [benpassow@ieee.org] De Montfort University Leicester, UK The Power of Computational Intelligence Case study: iTRAQ Benjamin N. Passow, David Elizondo, Eric Goodyer and Simon Witheridge De Montfort University Leicester, UK

2. Fuzzy Logic Artificial Neural Networks Evolutionary Computation Computing with words Decision Making Learning Adaptation Efficient Search and Optimisation Artificial Immune Systems Computational Intelligence Swarm Intelligence

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4. Overview Chrono. data Traffic data (in-situ) Met. data In-situ Air Quality Air quality model City Plan & O/D Computational Intelligence Module Traffic Simulator feedback for iterative optimisation process EO AQ data (OMI,GOME-2) MACC modelled AQ Optimised Traffic Management Strategy GNSS Floating Car Data

5. Actual Forecast Results Traffic Flow (veh/hr) Air Quality NO2 (ugm-3)

6. Flow % Delay % Hour of day Hour of day Strong increase in traffic flow Substantial decrease in delay While simultaneously managing air quality Results

7. Initial Study Conclusions I.iTRAQ is operationally feasible II.The system demonstrated: increase in traffic flow 89% of the time (avg +0.6%) reduction of delay every time (avg -3%) (using only two neighbouring junctions) III.iTRAQ provides additional information: forecasts suggest enhanced strategies IV.The iTRAQ system can inform and support operator decision-making have autonomous control over both objectives (when fully tested) Conclusions

8. Initial Study Conclusions What can Computational Intelligence do for you?