
Vasu Dev MukkuOtto-von-Guericke University Magdeburg | OvGU · Institute of Logistics and Material Handling Systems
Vasu Dev Mukku
M.Sc. Digital Engineering
About
14
Publications
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57
Citations
Introduction
Modelling and simulation of next-generation bike-sharing system (AuRa), Industry 4.0 learning laboratory, Intelligent Transport agents, Dynamic factory planning applications, Autonomous driving.
Additional affiliations
Education
October 2015 - September 2019
Publications
Publications (14)
This paper introduces a modular simulation testbed developed for decision support in logistics and urban planning within the tourism sector, specifically applied to Şanlıurfa, Turkey, as part of the GeostaloVR project. The testbed integrates tourism value chains, urban development processes, and mobility flows to facilitate scenario testing and eva...
Bike sharing systems have become a sustainable alternative to motorized private transport in urban areas. However, users often face high costs and availability issues due to the operational effort required to redistribute bicycles between stations. For addressing those issues, the AuRa (Autonomes Rad, Eng. Autonomous Bicycle) project introduces a n...
Due to technological advancements and the ever-increasing demand for sustainable modes of transport, research on autonomous driving, shared mobility, and micro-mobility has gained interest, particularly in urban mobility. To facilitate such transport modes, systems like bike-sharing, car-sharing, and shared autonomous cars are implemented. However,...
Bike-sharing systems have been widely used as an eco-friendly mode of urban micro-mobility in metropolitan areas. The next generation of bike-sharing may use autonomous bikes to solve the problem of station imbalance. Such an on-demand shared-use self-driving bikes service (OSABS) utilizes electricity-driven self-driving cargo bikes to offer the se...
Finding a sustainable mobility solution for the future is one of the most competitive challenges in the logistics and transportation sector nowadays. Researchers, universities, and companies are working intensively to provide novel mobility options that can be environmentally friendly and sustainable. While autonomous car-sharing services have been...
Finding a sustainable mobility solution for the future is one of the most competitive challenges in the logistics and mobility sector at present. Policymakers, researchers, and companies are working intensively to provide novel options that are environmentally friendly and sustainable. While autonomous car-sharing services have been introduced as a...
Light-Fidelity (Li-Fi) is a wireless communication technology, which uses light as the medium of communication. In this paper, we discuss Li-Fi as a communication strategy for building dynamic factory layouts. Advantages of Li-Fi are the low energy consumption, the straightforward implementation, the cost-efficient maintenance and the easy identifi...
In the advancements of industrial transport systems, there is a demand for intelligent autonomous transport agents in the manufacturing industries. Unlike conventional transport systems such as forklifts, vacuum lifters, cranes, the Multiple transport agents can efficiently transport large cargo through various locations in the industry. Moreover,...
Car- and Bike-sharing systems have dramatically altered mobility services in metropolitan areas in recent years. They improve flexibility and convenience for non-private car-based mobility. This transformation seems to be further revolutionized by the introduction of self-driving vehicles. Indeed, Autonomous Mobility-on-Demand (AMoD) systems are ga...
In this modern era of transportation, bike-sharing systems dynamically increased their scope as one of the main mobility components in cities. Conventional bike-sharing systems significantly impact urban mobility, and the users have more interest in the utilization of bikes for short trips. However, the conventional bike-sharing systems have no dyn...
Currently, most of the factory and material flow operations in manufacturing industries
are carried out in static factory layouts. Due to the static layout, there is a limitation
in flexibility. Flexibility denotes the ability to change the factory layout to optimize the
production process for different production programmes. In this context, there...
We are currently developing a modular and decentralized learning factory to demonstrate Industry 4.0 and Logistics 4.0 scenarios to both, students and employees from the companies. The factory shall allow the setup and evaluation of any preferred factory layout. One major challenge is the design of an appropriate strategy for communication between...