Research Article
WATI: Warning of Traffic Incidents for Fuel Saving
Table 7
Comparison of the proposal with other algorithms.
| Paper | DR (%) | FAR (%) | Algorithm | Sensors on the road | Type of test |
| [11] | 81.43 | 0.89 | Naïve Bayes and decisions tree | Yes | Real | [3] | 95.65 | 0.13 | Particle swarm optimization | Yes | Real | [12] | 88 | 0.62 | Bayesian Network | Yes | Simulation | [13] | 89.86 | Not available | Fuzzy logic | Yes | Simulation | [14] | 95.65 | 5.53 | Probabilistic inductive logic programming | Yes | Simulation | [15] | 93.94 | 32.5 | Time series analysis and Neuronal Network | Yes | Real | [16] | 88.74 | 1.57 | Support Vector Machine Ensemble | Yes | Real | [17] | 100 | 6.88 | Neuronal Network | No | Simulation | Our proposal | 90.02 | 3.33 | Naïve Bayes and fuzzy logic | No | Real |
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