A novel rough numbers based extended MACBETH method for the prioritization of the connected autonomous vehicles in real-time traffic management
Expert Systems With Applications, 2023
Adoption of energy consumption in urban mobility considering digital carbon footprint: A two-phase interval-valued Fermatean fuzzy dominance methodology
Engineering Applications of Artificial Intelligence, Nov 1, 2023
Kent içi otobüs memnuniyet anketi verileri ve faktör analizinden yararlanılarak otobüslerin hizmet kalitesinin modellenmesi: İETT örneği
DOAJ (DOAJ: Directory of Open Access Journals), Dec 1, 2018
Hizmet kalitesi, 1980'lerden bu yana, önemli bir konu olarak değerlendirilmektedir. Kişiden k... more Hizmet kalitesi, 1980'lerden bu yana, önemli bir konu olarak değerlendirilmektedir. Kişiden kişiye farklılık gösterebildiği ve somut bir çıktı üretmediği için, hizmet kalitesinin ölçümü, ürün kalitesine kıyasla daha zordur. Hizmet kalitesinin değerlendirilmesi için, literatürde çok sayıda model geliştirilmiştir. Ulaştırma iş kolu, hizmet iş kolunun önde gelen bileşenlerinden birisidir. Toplu taşımanın kalitesinin arttırılması, kentlerin gelişiminde ve özel araç kullanımının toplu ulaşıma yönlendirilmesinde kuvvetli bir etkendir. Otobüs hizmetlerinin kalitesi, toplu ulaşımın kalitesinin ölçülmesine olanak sağlayan TS-EN 13816 Standardına göre tanımlanmıştır. İstanbul'da otobüsler için hizmet kalite ölçütleri belirlenmiş olup performansları sistematik bir şekilde ölçülmektedir. Bu çalışma kapsamında, otobüs hizmetlerinin kalitesinin değerlendirmek için, İETT tarafından internet üzerinden kullanıcılara uygulanan memnuniyet anketlerinin 2177 tanesinin sonuçları kullanılarak faktör analizi uygulanmış ve çoklu doğrusal regresyon modeli oluşturulmuştur. Ortaya çıkan 2 faktör incelendiğinde, kullanıcıların hizmete erişime, konfordan daha fazla önem verdikleri ortaya çıkmıştır. Ayrıca, kullanıcı anketlerinin sonuçları, hizmet sağlayıcıların görüşleri ile karşılaştırılmış, iki kesimin görüşü arasında yalnızca %1.733'lik fark gözlemlenmiştir.
Personnel service is a common application that is offered by employers to provide comfortable tra... more Personnel service is a common application that is offered by employers to provide comfortable transportation for the employees. It is mostly applied in developing countries and even though it brings some convenience for both sides, it also has downsides. Especially, the extra cost of the system for institutions and additional congestion created during peak hours due to the wrong optimization of the service routes are huge problems that can be fixed by proper applications. Moreover, such an optimization would create huge benefits in general because of the extensiveness of the application. Besides some of the employees have complaints about the arrangement of the services which results in private car usage in the long term. The purpose of this study is to optimize the personnel service system in a systematic way and additionally, to combine the system with public transportation to be able to obtain a new approach. Therefore, the first method optimizes the routes whereas the second met...
Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model
IEEE Transactions on Intelligent Transportation Systems, 2022
Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model
Technological Forecasting and Social Change, Sep 1, 2023
Integrating shared autonomous vehicles in Last-Mile public transportation
Sustainable Energy Technologies and Assessments, Jun 1, 2023
Alternative prioritization of freeway incident management using autonomous vehicles in mixed traffic using a type-2 neutrosophic number based decision support system
Engineering Applications of Artificial Intelligence, Aug 1, 2023
Evaluation of Cooperative Intelligent Transportation System scenarios for resilience in transportation using type-2 neutrosophic fuzzy VIKOR
Transportation Research Part A-policy and Practice, Jun 1, 2023
Bogazici Universitesi'nde Bisiklet Kullaniminin Yayginlastirilmasi
Interval-valued Fermatean fuzzy heronian mean operator-based decision-making method for urban climate change policy for transportation activities
Engineering Applications of Artificial Intelligence, Sep 1, 2023
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mrow><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math> Emission based prioritization of bridge maintenance projects using neutrosophic fuzzy sets based decision making ap...
Research in Transportation Economics, Mar 1, 2022
Metaverse integration alternatives of connected autonomous vehicles with self-powered sensors using fuzzy decision making model
Information Sciences, Sep 1, 2023
Autonomous Bus Operation Alternatives in Urban Areas Using Fuzzy Dombi-Bonferroni Operator Based Decision Making Model
IEEE Transactions on Intelligent Transportation Systems, 2022
Automatic vehicle detection based on automatic histogram-based fuzzy C-means algorithm and perceptual grouping using very high-resolution aerial imagery and road vector data
Journal of Applied Remote Sensing, Feb 10, 2016
Abstract. This study presents an approach for the automatic detection of vehicles using very high... more Abstract. This study presents an approach for the automatic detection of vehicles using very high-resolution images and road vector data. Initially, road vector data and aerial images are integrated to extract road regions. Then, the extracted road/street region is clustered using an automatic histogram-based fuzzy C-means algorithm, and edge pixels are detected using the Canny edge detector. In order to automatically detect vehicles, we developed a local perceptual grouping approach based on fusion of edge detection and clustering outputs. To provide the locality, an ellipse is generated using characteristics of the candidate clusters individually. Then, ratio of edge pixels to nonedge pixels in the corresponding ellipse is computed to distinguish the vehicles. Finally, a point-merging rule is conducted to merge the points that satisfy a predefined threshold and are supposed to denote the same vehicles. The experimental validation of the proposed method was carried out on six very high-resolution aerial images that illustrate two highways, two shadowed roads, a crowded narrow street, and a street in a dense urban area with crowded parked vehicles. The evaluation of the results shows that our proposed method performed 86% and 83% in overall correctness and completeness, respectively.
Evaluation of Metaverse traffic safety implementations using fuzzy Einstein based logarithmic methodology of additive weights and TOPSIS method
Technological Forecasting and Social Change, Sep 1, 2023
Evaluation of metaverse integration alternatives of sharing economy in transportation using fuzzy Schweizer-Sklar based ordinal priority approach
Decision Support Systems, Aug 1, 2023
Spacecraft tracking control and synchronization: An assessment of conventional, unconventional, and combined methods
Advances in Space Research, May 1, 2023
Evaluation of Urban Mobility Alternatives For Blockchain Use In Metaverse
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