Integration of a Multi-modal Simulation Module into a Framework for Large-Scale Transport Systems Simulation

2013 ◽  
pp. 739-754 ◽  
Author(s):  
Christoph Dobler ◽  
Gregor Lämmel
Keyword(s):  
Large Scale ◽  
Transport Systems ◽  
Systems Simulation

scholarly journals Control method for the stable operation of distributed inverters following the introduction of large-scale renewable energy to a remote island grid

Clean Energy ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 196-207
Author(s):  
Shoichi Sato ◽  
Yasuhiro Noro
Keyword(s):  
Renewable Energy ◽  
Large Scale ◽  
Control Method ◽  
Synchronous Generator ◽  
Stable Operation ◽  
Battery Energy Storage Systems ◽  
Simulation Results ◽  
Battery Energy ◽  
Systems Simulation ◽  
Different Characteristics

Abstract The introduction of large-scale renewable energy requires a control system that can operate multiple distributed inverters in a stable way. This study proposes an inverter control method that uses information corresponding to the inertia of the synchronous generator to coordinate the operation of battery energy storage systems. Simulation results for a system with multiple inverters applying the control method are presented. Various faults such as line-to-line short circuits and three-phase line-to-ground faults were simulated. Two fault points with different characteristics were compared. The voltage, frequency and active power quickly returned to their steady-state values after the fault was eliminated. From the obtained simulation results, it was verified that our control method can be operated stably against various faults.

scholarly journals A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6610
Author(s):  
Raka Jovanovic ◽  
Islam Safak Bayram ◽  
Sertac Bayhan ◽  
Stefan Voß
Keyword(s):  
Public Transport ◽  
High Speed ◽  
Large Scale ◽  
Integer Program ◽  
Mixed Integer ◽  
Transport Systems ◽  
Mixed Integer Program ◽  
Scheduling Problems ◽  
Electric Bus ◽  
Battery Capacity

Electrifying public bus transportation is a critical step in reaching net-zero goals. In this paper, the focus is on the problem of optimal scheduling of an electric bus (EB) fleet to cover a public transport timetable. The problem is modelled using a mixed integer program (MIP) in which the charging time of an EB is pertinent to the battery’s state-of-charge level. To be able to solve large problem instances corresponding to real-world applications of the model, a metaheuristic approach is investigated. To be more precise, a greedy randomized adaptive search procedure (GRASP) algorithm is developed and its performance is evaluated against optimal solutions acquired using the MIP. The GRASP algorithm is used for case studies on several public transport systems having various properties and sizes. The analysis focuses on the relation between EB ranges (battery capacity) and required charging rates (in kW) on the size of the fleet needed to cover a public transport timetable. The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. The results also show that high speed chargers have a more significant impact than an increase in battery sizes of the EBs.

scholarly journals The Interplay between the Physical Internet and Logistics: A Literature Review and Future Research Directions

2021 ◽  
Author(s):  
Safwen Ben Neila ◽  
Abderahman Rejeb ◽  
Péter Németh
Keyword(s):  
Large Scale ◽  
Transport Systems ◽  
Transport Sector ◽  
Future Research ◽  
Logistics Networks ◽  
Sustainable Logistics ◽  
Efficiency And Effectiveness ◽  
Physical Internet ◽  
Collaborative Logistics ◽  
Sustainability Challenges

In recent years, there is a need for new methods and frameworks for planning transport systems, improving their efficiency, and addressing globalisation and sustainability challenges. In addition, the use of existing capacities and infrastructure has raised significant issues in the transport sector. To achieve an economically, environmentally, and socially sustainable logistics ecosystem, Benoit Montreuil introduces the concept of “Physical Internet” (PI) to increase the efficiency and effectiveness of logistics networks. As a ground-breaking transportation philosophy, the PI aims to revolutionise freight and logistics transport. Moreover, the PI can enhance logistics productivity through the organisation of large-scale pooling. Similar to Digital Internet that conveys data, the PI strives to connect, synchronise, and ship regular modular containers from the point of origin to an exact destination, thereby creating robust and collaborative logistics networks. While the literature on the PI is relatively growing, there is still a lack of reviews that synthesise this knowledge body, identify current trends and gaps, and advance the research more broadly.  Therefore, this study aims to investigate the potentials of the PI for the development of sustainable logistics networks. Overall, 59 studies are selected from leading academic databases and further analysed. The review findings reveal that most scholars focus on the optimisation of transport at the tactical and organisational stage while devoting little attention to the contribution of the PI to the social sustainability of logistics compared to the economic and environmental aspects.

scholarly journals New Trends in Large Scale Distributed Systems Simulation

2011 ◽  
Vol 5 (2) ◽  
pp. 221-257 ◽  
Author(s):  
Ciprian Dobre ◽  
Florin Pop ◽  
Valentin Cristea
Keyword(s):  
Distributed Systems ◽  
Large Scale ◽  
Systems Simulation

A Conflict-Free Routing Method for Automated Guided Vehicles Using Reinforcement Learning

2020 ◽  
Author(s):  
Taichi Chujo ◽  
Kosei Nishida ◽  
Tatsushi Nishi
Keyword(s):  
Reinforcement Learning ◽  
Large Scale ◽  
Learning Algorithm ◽  
Automated Guided Vehicles ◽  
Transport Systems ◽  
Deadlock Avoidance ◽  
Q Learning ◽  
Traffic Conditions ◽  
Bidirectional Transport ◽  
Routing Method

Abstract In a modern large-scale fabrication, hundreds of vehicles are used for transportation. Since traffic conditions are changing rapidly, the routing of automated guided vehicles (AGV) needs to be changed according to the change in traffic conditions. We propose a conflict-free routing method for AGVs using reinforcement learning in dynamic transportation. An advantage of the proposed method is that a change in the state can be obtained as an evaluation function. Therefore, the action can be selected according to the states. A deadlock avoidance method in bidirectional transport systems is developed using reinforcement learning. The effectiveness of the proposed method is demonstrated by comparing the performance with the conventional Q learning algorithm from computational results.

Using technology to improve access to healthcare: The case of the MomConnect programme in South Africa

2019 ◽  
Vol 34 (8) ◽  
pp. 838-852 ◽  
Author(s):  
Sara S Grobbelaar ◽  
Mauricio Uriona-Maldonado
Keyword(s):  
Large Scale ◽  
Policy Instruments ◽  
Innovation Systems ◽  
Healthcare Sector ◽  
Transport Systems ◽  
Inclusive Innovation ◽  
Successful Case ◽  
Micro Level ◽  
Poor Infrastructure ◽  
Health Programmes

A major area of inequality may be seen in the healthcare sector where systematic exclusion from access to services exists due to poverty, lack of employment, and poor infrastructure, transport systems and other social factors. In this article, we draw on two complementary frameworks: (i) Technological Innovation Systems (TIS) and (ii) Platform-based Innovation Ecosystems (PIE) to explore the need for the orchestration between macro-level policies and micro-level connections among platform actors as crucial for large-scale e-health/m-health programmes to succeed. We explore this empirically by using the MomConnect programme as a successful case of orchestration between the macro- and micro-level. Here the utilisation of systemic policy instruments are uncovered through which the design of large scale mHealth programmes may be supported with the aim of developing more inclusive innovation systems.

scholarly journals Speed Profile Prediction in Intelligent Transport Systems Exemplified by Vehicle to Vehicle Interactions

2015 ◽  
Vol 15 (5) ◽  
pp. 63-77 ◽  
Author(s):  
Ivan Bosankic ◽  
Lejla Banjanovic-Mehmedovic ◽  
Fahrudin Mehmedovic
Keyword(s):  
Large Scale ◽  
Traffic Information ◽  
Transport Systems ◽  
Flow Density ◽  
High Temporal Resolution ◽  
Speed Profile ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Vehicle To Vehicle ◽  
Prediction Approach

Abstract Intelligent Transport Systems (ITS) fall in the framework of cyberphysical systems due to the interaction between physical systems (vehicles) and distributed information acquisition and dissemination infrastructure. With the accelerated development of wireless Vehicle-to-Vehicle (V2V) and Vehicle-to Infrastructure (V2I) communications, the integrated acquiring and processing of information is becoming feasible at an increasingly large scale. Accurate prediction of the traffic information in real time, such as the speed, flow, density has important applications in many areas of Intelligent Transport systems. It is a challenging problem due to the dynamic changes of the traffic states caused by many uncertain factors along a travelling route. In this paper we present a V2V based Speed Profile Prediction approach (V2VSPP) that was developed using neural network learning to predict the speed of selected agents based on the received signal strength values of communications between pairs of vehicles. The V2VSPP was trained and evaluated by using traffic data provided by the Australian Centre for Field Robotics. It contains vehicle state information, vehicle-to-vehicle communications and road maps with high temporal resolution for large numbers of interacting vehicles over a long time period. The experimental results show that the proposed approach (V2VSPP) has the capability of providing accurate predictions of speed profiles in multi-vehicle trajectories setup.

Study on High-Performance Simulation Computer for Large-Scale System of Systems Simulation

2014 ◽  
Vol 548-549 ◽  
pp. 1311-1318
Author(s):  
Zhi Qiang Zhao ◽  
Jia Xin Hao
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Engineering Application ◽  
System Of Systems ◽  
Simulation Framework ◽  
Performance Simulation ◽  
Overall Performance ◽  
Systems Simulation ◽  
Key Techniques ◽  
Equipment System

The high-performance parallel computing (HPPC) has a better overall performance and higher productivity, for a generical large-scale army equipment system of systems (AESoS) simulation, and the runtime efficiency can be multiplied several tenfold to several hundredfold. The requirement analysis of simulation framework of AESoS based on HPPC was proposed. After the simulation framework of AESoS based on HPPC and its key techniques were discussed, the simulation framework of AESoS Based HPPC was designed. it is of great significance to offer certain references for the engineering application in the simulation fields of AESoS based on HPPC.

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