Benjamin N. Passow De Montfort University Leicester, UK The Power of Computational Intelligence Case...
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![Page 1: Benjamin N. Passow De Montfort University Leicester, UK The Power of Computational Intelligence Case study: iTRAQ Benjamin N. Passow,](https://reader036.fdocuments.us/reader036/viewer/2022062413/5a4d1b3e7f8b9ab05999fd83/html5/thumbnails/1.jpg)
Benjamin N. Passow[[email protected]]De Montfort University
Leicester, UK
The Power of Computational IntelligenceCase study: iTRAQ
Benjamin N. Passow, David Elizondo,Eric Goodyer and Simon Witheridge
De Montfort UniversityLeicester, UK
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Fuzzy Logic
Artificial Neural
Networks
Evolutionary Computation
Computing with words
Decision Making
Learning
Adaptation
Efficient Searchand Optimisation
Artificial ImmuneSystems
ComputationalIntelligence
Swarm Intelligence
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&
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Overview
Chrono. data
Traffic data (in-situ)
Met. data
In-situAir Quality
Air quality model
City Plan& O/D
Computational Intelligence Module
Traffic Simulator
feedback for iterative optimisation process
EO AQ data(OMI,GOME-2)
MACCmodelled AQ
Optimised Traffic Management
StrategyGNSS Floating
Car Data
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Actual Forecast ResultsTr
affic
Flow
(veh
/hr)
Air Q
ualit
y N
O2
(ugm
-3)
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Flow % Delay %
Hour of day Hour of day
Strong increase in traffic flow Substantial decrease in delay While simultaneously managing air quality
7 8 9 10 11 12 13 14 15 16 17
-6.00
-5.00
-4.00
-3.00
-2.00
-1.00
0.00
7 8 9 10 11 12 13 14 15 16 170.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
Results
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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
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Initial Study Conclusions
What can Computational Intelligence do for you?