TY - JOUR
ID - 4256
TI - A fuzzy approach for designing of subway lines, case study: development of the Tehran subway network
JO - Amirkabir Journal of Civil Engineering
JA - CEEJ
LA - en
SN - 2588-297X
AU - Mahdavi, Amir Reza
AU - Mamdoohi, Amirreza
AU - Allahviranloo, Mahdieh
AD - Transportation Planning Department, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran
AD - Associate Professor, Faculty of Civil and Environmental Engineering, Tarbiat Modares University
AD - Groove School of Engineering, City College of New York, United States of America
Y1 - 2021
PY - 2021
VL - 53
IS - 9
SP - 3847
EP - 3866
KW - Fuzzy mathematical programming
KW - Fuzzy factors
KW - Subway line design
KW - Non-deterministic approach
KW - Line locating
DO - 10.22060/ceej.2021.18121.6774
N2 - Subway network design can be classified as one of the most challenging problems in transportation planning, where different deterministic or non-deterministic approaches have been utilized for optimal design. Non-deterministic methods, having fewer limitations and representing reality with its intrinsic uncertainty, have thus been the focus of less research. This paper incorporates concepts of fuzzy set theory into the optimal design of subway networks to the case of Tehran. Two binary mathematical programming models with different objective functions are developed. The first model maximizes the covered population while minimizing construction cost, whereas the second maximizes the ratio of the covered population to construction cost. These objective functions are modeled in both a fuzzy and a deterministic state. In the fuzzy model, we use a fuzzy penalty factor instead of edge length constraints and propose a Sugeno fuzzy inference system for calculating the covered population. Results indicate that the total length of designed lines with the linear and nonlinear fuzzy approach is equal to 139.3 km (477000 billion Iranian Rials) and 144.6 km (494000 billion Iranian Rials), respectively. Considering topology improvement per construction cost index, designed lines with the linear fuzzy model are better than the nonlinear fuzzy model. In comparison to the classic deterministic approach, the proposed fuzzy approach can improve topology improvement per construction cost index by 23 percent.
UR - https://ceej.aut.ac.ir/article_4256.html
L1 - https://ceej.aut.ac.ir/article_4256_92299c8a52731c6a404d1816aacce2f8.pdf
ER -