| Autor: |
Henry, J.J., Farges, J.L., Gallego, J.L. |
| Zdroj: |
IFAC-PapersOnLine; June 1997, Vol. 30 Issue: 8 p705-710, 6p |
| Abstrakt: |
Intersection stage control using Forward Dynamic Programming (FDP) with a sample time of five seconds is already effective on the field. Neuro-fuzzy techniques are proposed here for controlling each light each second. Rules, fuzzyfication and inference are modeled by a neural network. For each signal, the neuro-fuzzy control selects the highest membership value between ’switch on’ and ‘off’ and presents it to a Petri net. For neurofuzzy acceleration of FDP, only controls with low membership values differences are enumerated. Simulations on different intersections show delay reductions with respect to fixed time from 0% to 30% for neuro-fuzzy control and from 15% to 35% for neuro-fuzzy acceleration of FDP. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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