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Browsing by Author "Gokce, Mahmut Ali"

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    Conference Object
    Citation - WoS: 6
    Citation - Scopus: 7
    A novel arc-routing problem of electric powered street sweepers with time windows and intermediate stops
    (Elsevier B.V., 2019) Cansu Yurtseven; Mahmut Ali Gökçe; Gokce, Mahmut Ali; Yurtseven, Cansu; D. Ivanov , A. Dolgui , F. Yalaoui
    Waste collection is an important public service performed by municipalities. Powered street sweeping is an important part of waste collection. Recently electric powered street sweepers are used at an increasing rate for due to their energy efficiency. It is important to provide this public service at a minimum cost. We propose a novel mathematical model for determining routing of electric powered street sweepers considering a heterogeneous fleet with different capacities and battery levels to perform a predetermined service with realistic operational constraints. The objective is to minimize energy consumption used to provide the service travelling and disposal operations. © 2021 Elsevier B.V. All rights reserved.
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    Conference Object
    Citation - WoS: 11
    Citation - Scopus: 8
    Analysis of Various Scenarios to Mitigate Congestion at a Signalized Roundabout using Microsimulation
    (Institute of Electrical and Electronics Engineers Inc., 2019) Syed Shah Sultan Mohiuddin Qadri; Mahmut Ali Gökçe; Erdinc Oner; Elif Gulfirat Gokce; Gokce, Mahmut Ali; Gokce, Elif Gulfirat; Ali Gokce, Mahmut; Qadri, Syed Shah Sultan Mohiuddin; Oner, Erdinc
    Proper use of urban infrastructure is one of the manifest strategies to improve traffic congestion issues. An important part of the relevant urban infrastructure is traffic signals. Traffic signals with optimal timing setting result in a smoother traffic movement. Modeling with microsimulation software is one of the competent tools for the evaluation of traffic flow on an urban road network. In this study PTV VISSIM microsimulation software is utilized to compare the performance of traffic flow at the signalized roundabout in contrast to a four-way signalized intersection in Izmir Turkey. For this purpose a signalized roundabout situated in the center of Bornova district Izmir Turkey is selected. Current roundabout and an alternative for the intersection is tested with a detailed set of scenarios. Results from the experimentation show that the alternatively proposed four-way signalized intersection design is better than signalized roundabout in terms of queue lengths and delay times. © 2020 Elsevier B.V. All rights reserved.
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    Conference Object
    Citation - WoS: 7
    Citation - Scopus: 10
    Intelligent Scheduling and Routing of a Heterogenous Fleet of Automated Guided Vehicles (AGVs) in a Production Environment with Partial Recharge
    (SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Selen Burcak Akkaya; Mahmut Ali Gokce; Gokce, Mahmut Ali; Akkaya, Selen Burcak; C Kahraman; AC Tolga; SC Onar; S Cebi; B Oztaysi; IU Sari
    Use of Automated Guided Vehicles (AGVs) for material handling purposes has become increasingly popular. They introduce flexibility to the system by increasing the speed responsiveness and freight capacity as well as enabling increased productivity safety efficient resource utilization and reducing costs. These advantages can be realized by intelligent assignment of AGVs to jobs and routing of AGVs to meet production plans. We look at the problem of scheduling and routing of a heterogenous fleet of AGVs consisting of different types based on purpose of use freight and battery charge capacity used for handling transfer jobs in a production environment. The objective is to optimize the schedules and routes of AGVs by minimizing the penalty cost for the late delivery of a parts and energy consumption of the vehicles. To this end a novel mixed integer linear programming model for a heterogenous fleet of AGVs along with charging and energy consumption is proposed where partial recharging is allowed. Proposed model is validated and verified with a test case using IBM OPL CPLEX and results are provided.
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    Review
    Citation - WoS: 121
    Citation - Scopus: 186
    State-of-art review of traffic signal control methods: challenges and opportunities
    (SPRINGER, 2020) Syed Shah Sultan Mohiuddin Qadri; Mahmut Ali Gokce; Erdinc Oner; Gokce, Mahmut Ali; Qadri, Syed Shah Sultan Mohiuddin; Oner, Erdinc
    Introduction Due to the menacing increase in the number of vehicles on a daily basis abating road congestion is becoming a key challenge these years. To cope-up with the prevailing traffic scenarios and to meet the ever-increasing demand for traffic the urban transportation system needs effective solution methodologies. Changes made in the urban infrastructure will take years sometimes may not even be feasible. For this reason traffic signal timing (TST) optimization is one of the fastest and most economical ways to curtail congestion at the intersections and improve traffic flow in the urban network. Purpose Researchers have been working on using a variety of approaches along with the exploitation of technology to improve TST. This article is intended to analyze the recent literature published between January 2015 and January 2020 for the computational intelligence (CI) based simulation approaches and CI-based approaches for optimizing TST and Traffic Signal Control (TSC) systems provide insights research gaps and possible directions for future work for researchers interested in the field. Methods In analyzing the complex dynamic behavior of traffic streams simulation tools have a prominent place. Nowadays microsimulation tools are frequently used in TST related researches. For this reason a critical review of some of the widely used microsimulation packages is provided in this paper. Conclusion Our review also shows that approximately 77% of the papers included utilizes a microsimulation tool in some form. Therefore it seems useful to include a review categorization and comparison of the most commonly used microsimulation tools for future work. We conclude by providing insights into the future of research in these areas.
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