TY - JOUR
T1 - Autonomous Bus Operation Alternatives in Urban Areas Using Fuzzy Dombi-Bonferroni Operator Based Decision Making Model
AU - Deveci, Muhammet
AU - Pamucar, Dragan
AU - Gokasar, Ilgin
AU - Pedrycz, Witold
AU - Wen, Xin
N1 - Funding:
This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK 1001) under Grant 120M574
Publisher Copyright:
IEEE
PY - 2023/11/29
Y1 - 2023/11/29
N2 - Advances in V2V, V2I, and autonomous vehicle technologies have made autonomous buses possible in cities. Soon, autonomous bus operations will be common in urban areas, which will improve sustainability, safety, and the city’s technology. These buses have different operation types. Each operation has advantages and disadvantages. Therefore, the goal of this study is to serve as a guide for decision-makers during the transition to autonomous buses. Four alternatives are evaluated based on eleven criteria organized under four main aspects, namely autonomous buses for special uses, autonomous buses for last-mile uses, autonomous cars in mixed traffic, and autonomous buses in closed systems. We propose an Ordinal Priority Approach (OPA) method for determining the criteria weights and application of fuzzy Dombi Bonferroni (DOBI) methodology for the evaluation of alternatives. When compared to the other three alternatives in this study, the results show that deploying autonomous buses in mixed traffic is the most advantageous option.
AB - Advances in V2V, V2I, and autonomous vehicle technologies have made autonomous buses possible in cities. Soon, autonomous bus operations will be common in urban areas, which will improve sustainability, safety, and the city’s technology. These buses have different operation types. Each operation has advantages and disadvantages. Therefore, the goal of this study is to serve as a guide for decision-makers during the transition to autonomous buses. Four alternatives are evaluated based on eleven criteria organized under four main aspects, namely autonomous buses for special uses, autonomous buses for last-mile uses, autonomous cars in mixed traffic, and autonomous buses in closed systems. We propose an Ordinal Priority Approach (OPA) method for determining the criteria weights and application of fuzzy Dombi Bonferroni (DOBI) methodology for the evaluation of alternatives. When compared to the other three alternatives in this study, the results show that deploying autonomous buses in mixed traffic is the most advantageous option.
KW - Autonomous buses
KW - bus operation
KW - Dombi t-norm
KW - fuzzy sets
KW - multi-criteria decision-making
KW - urban areas
UR - http://www.scopus.com/inward/record.url?scp=85139453009&partnerID=8YFLogxK
U2 - 10.1109/TITS.2022.3202111
DO - 10.1109/TITS.2022.3202111
M3 - Journal article
AN - SCOPUS:85139453009
SN - 1524-9050
SP - 1
EP - 10
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
ER -