Enhancing model‐based anticipatory traffic signal control with metamodeling and adaptive optimization

HIGHLIGHTS

• who: Admin from the censee MDPI, Basel, SwitzerlandSchool of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat‐sen University have published the paper: Enhancing Model‐Based Anticipatory Traffic Signal Control with Metamodeling and Adaptive Optimization, in the Journal: Mathematics 2022, 2640 of /2022/
• what: The main motivations of metamodeling include: for large‐scale problems, it is computationally expensive to eval‐ uate the performance function, hence a metamodel is usually used as a surrogate of the expensive simulation process; moreover, the metamodel can be also used as a surrogate of performance functions without closed‐formed formulation . . .
  

   

  

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