An analysis of road geometry and characteristics that affects on accident rates in Tamilnadu roadways using novel decision tree algorithm compared with support vector machine algorithm.
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| Názov: | An analysis of road geometry and characteristics that affects on accident rates in Tamilnadu roadways using novel decision tree algorithm compared with support vector machine algorithm. |
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| Autori: | Gopi, Bhojaraju, Rama, A. |
| Zdroj: | AIP Conference Proceedings; 2023, Vol. 2822 Issue 1, p1-8, 8p |
| Predmety: | DECISION trees, SUPPORT vector machines, GEOMETRY, ROAD construction, ALGORITHMS, TRAFFIC accidents |
| Geografický termín: | TAMIL Nadu (India) |
| Abstrakt: | To use a novel decision tree algorithm to examine road layout and factors that influence accident rates on Tamil Nadu highways. For forecasting the accuracy % of the influence of Tamil Nadu national highways road design in collisions and injuries, a novel decision tree Algorithm (N=10) and Support vector machine algorithm (N=10) were iterated at various times. Two sample groups are considered and tested, and G-power is calculated, which includes two separate groups, alpha (0.05), power (80%), and environment ratio. The Novel Decision Tree Algorithm was found to have an accuracy of 92.7%. With a p-value of 0.000, the novel decision tree algorithm approach appears to be more significant than the support vector machine algorithm. Within the scope of this investigation, the Novel Decision Tree Algorithm provides the highest accuracy in [ABSTRACT FROM AUTHOR] |
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| Databáza: | Complementary Index |
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