Browsing by Author "Qadri, Syed Shah Sultan Mohiuddin"

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An ALNS-Based Decision Support System for Scheduling and Routing in Home Healthcare with Lunch Break Constraints
(Growing Science, 2025) Ozsakalli, Gokberk; Qadri, Syed Shah Sultan Mohiuddin; Ozturkoglu, Omer
This study addresses the daily scheduling and routing problem for home healthcare workers while incorporating lunch break requirements. The Home Healthcare Scheduling and Routing Problem is analysed alongside its common constraints, including patient and caregiver time windows, caregiver qualifications, and mandated breaks. To address this, four different variants of an effective Adaptive Large Neighbourhood Search (ALNS) algorithm were developed to provide high-quality solutions. The algorithms demonstrate significant efficiency, solving 30-patient instances optimally within an average of 12 seconds. For scenarios involving 100 patients, they maintained robust performance with a slight increase in computational time of about 54 seconds. Results indicate operational efficiency improvements of up to 36% through optimized travel routes and patient visitation schedules. To translate these findings into practice, a decision support system, the Home Healthcare Decision Support System (HHDSS), was designed to assist administrators by automating the complex task of scheduling and routing of caregivers. Tested using realistic patient data generated from Turkey, the system effectively allocates healthcare resources and improves responsiveness. Overall, the proposed framework shows strong potential as a valuable practical tool for improving the responsiveness and efficiency of home healthcare logistics. (c) 2026 by the authors; licensee Growing Science, Canada
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.
Bağlantılı sinyalize dönel kavşaklar için sinyal sürelerinin optimizasyonu
(2022) Qadri, Syed Shah Sultan Mohiuddin; Gökçe, Mahmut Ali; Öner, Erdinç
Managing high traffic volumes and mitigating traffic congestion including slow-moving traffic at intersections from the urban traffic networks is the key challenge for urban administration. The increase in the number of vehicles on a daily basis in the urban network is causing a continuous deterioration in the traffic situation. This deterioration leads to many detrimental consequences on health, the economy, and the environment. Due to this, it is important to manage the flow of vehicles within these networks efficiently. As an effective intersection design, the roundabout is rapidly gaining attention and popularity among traffic engineers because of its capacity for the mobility of the number of vehicles. This capacity can further be improved through their signalization. The appropriate traffic signal timing concerning the traffic conditions is critical in providing smooth traffic flow. Inappropriate traffic signal timings not only cause delays and inconvenience to drivers but also increase environmental pollution due to excessive fuel consumption and the emission of greenhouse gases. Thus, it is important to investigate the different signal timings to ensure that implemented plan will improve the capacity and the performance of the network. The investigation can be conducted via either field testing or the use of a reliable simulation tool. As the microscopic simulation is safer, less expensive, and faster than field implementation and testing, which is why the simulation models are widely used in both transportation operations and management analysis. Many researchers have made an effort to improve the efficiency of traffic signals using different approaches. However, few studies have been done concerning traffic signal timings at roundabouts. Roundabouts have a different flow dynamic compared to regular intersections. With the increasing use of signalized roundabouts, especially in metropolitan areas, the traffic signal timings of roundabouts need to be studied. This dissertation introduces a simulation-based optimization framework for finding the optimal green phase timings of signal heads located at an isolated and a network of connected signalized roundabouts. In the developed framework, SUMO is used as a simulation tool whereas the genetic algorithm is used as an optimization algorithm. Two realistic simulation models for the roundabouts (isolated and the network) located in downtown Izmir, Turkey are also developed in order to test the frameworks' performances. The results of the proposed frameworks have been compared with the current settings and with Webster's results. It was found the proposed framework outperforms both the current settings and Webster in all performance measures that are outlined in this study.
Citation - WoS: 1
Citation - Scopus: 1
Improving the Performance of a Network of Signalized Roundabouts via Microscopic Traffic Simulation Tool
(Springer Science and Business Media Deutschland GmbH, 2022) Syed Shah Sultan Mohiuddin Qadri; Mahmut Ali Gökçe; Erdinc Oner; Gökçe, Mahmut Ali; Qadri, Syed Shah Sultan Mohiuddin; Öner, Erdinç; C. Kahraman , S. Cevik Onar , B. Oztaysi , I.U. Sari , A.C. Tolga , S. Cebi
Roundabouts are effective intersection designs which are rapidly gaining attention and popularity among traffic engineers. This is due to the roundabout’s capacity to handle the mobility of a substantial number of vehicles. The ever increasing demand for more traffic capacity can be satisfied by either significant capital investment in infrastructure or creating more capacity by intelligent signalization. The appropriate traffic signal timing is critical in smoothing traffic flow. Inappropriate traffic signal timing not only causes delays and inconvenience to drivers but also increases environmental pollution. Thus it is important to investigate different signal timings to ensure that implemented plan will have a positive impact on the network’s performance. The optimization of roundabouts’ signal timing is relatively a new area of research. The problem is difficult to model realistically and computationally challenging. Due to the flow nature of the traffic problem wider areas of traffic must be regulated simultaneously in a network. This can be achieved via either field-testing or using a reliable simulation tool. Microscopic simulation allows a safer and cheaper evaluation of many more alternative signal timings compared to field-testing. Although development calibration and validation of simulation models for traffic networks are challenging. We present a model to evaluate the performance of a network of signalized roundabouts with which the combination of different traffic volume and cycle length scenarios can be intelligently studied. We also provide information on the development calibration and validation of the model as well as a real-life implementation on a network of roundabouts in Izmir/Turkey. © 2022 Elsevier B.V. All rights reserved.
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.