“…Other extended AHP, such as fuzzy AHP, group AHP, and fuzzy and TOPSIS, were developed to solve inherent fuzziness of preference. These methods were applied to weight important performance index or indicators for general public transportation, ITS and smart mobility theme [49,51,[64][65][66][67] as well as to assess performance for supporting decision making and deciding best alternatives [10,12,32,36,43,44,46,[68][69][70][71]. The difficulty of intelligent transportation system performance measurement is to assess the different objectives of the development, which can mitigate the complexity of impact assessment by weighting each criterion with a priority value [15].…”