An application of fuzzy TOPSIS for identifying and analyzing black spots suburban areas
Nowadays, traffic safety is one of the primary principles of traffic engineering and transportation planning. Road accidents have been major problems that cause human losses, social and economic challenges. The first step to improve road traffic safety is to identify black spots, which preserve high...
Main Authors: | Hassan Javanshir, Ali Wersi Qazvini |
---|---|
Format: | Article |
Language: | English |
Published: |
Growing Science
2016-08-01
|
Series: | Management Science Letters |
Subjects: | |
Online Access: | http://www.growingscience.com/msl/Vol6/msl_2016_38.pdf |
Similar Items
-
Identifying accident black spots based on the accident spacing distribution
by: Hongjun Cui, et al.
Published: (2022-12-01) -
Identification and analysis of accident black spots using Geographic Information System (GIS): A study on Kushtia-Jhenaidah national highway (N704), Bangladesh
by: Most Suria Khatun, et al.
Published: (2024-02-01) -
A road maintenance management strategy evaluation and selection model by integrating Fuzzy AHP and Fuzzy TOPSIS methods: The case of Ethiopian Roads Authority
by: Girmay Getawa Ayalew, et al.
Published: (2022-12-01) -
Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods
by: Navid Houshangi, et al.
Published: (2017-05-01) -
Regional Assessment of Iran's Potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods
Published: (2017-04-01)