Using Heuristic Searching Algorithm for Optimizing Intelligent Transportation Controls
Using Heuristic Searching Algorithm for Optimizing Intelligent Transportation Controls
- New search for: Tao, Hua
- New search for: Zhu, Li Wei
Previously, intelligent transportation control systems have been widely used to improve traffic safety on roadways. Among them, dynamic speed control is a novel technique that has been increasingly used for reducing collision risks. However, previous studies did not consider using any heuristic searching algorithm to obtain the optimal solution to improve traffic safety. The objective of this study is to evaluate the application of using heuristic searching algorithm to optimize the safety effects of dynamic speed control system. The results showed that the evolution process in the heuristic searching algorithm can promote the strategy towards better solutions for the optimization of the safety effects of dynamic speed control. The optimal control reduces collision risks by 12.7% and increased travel time only by 1.4%.
Document information
Using Heuristic Searching Algorithm for Optimizing Intelligent Transportation Controls
Applied Mechanics and Materials ; 602-605 ; 937-941
2014-08-11
5 pages
Article (Journal)
Electronic Resource
English
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