Design Methodologies for Sustainable Mobility Systems

Göhlich, Dietmar; Syré, Anne Magdalene; Schoor, Michel Joop van der; Jefferies, Dominic; Grahle, Alexander; Heide, Ludger

doi:10.1007/978-3-030-78368-6_7

Cited by 6 publications

(6 citation statements)

References 25 publications

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“…ISO 22166-1 advocates open supply chains in robotics for modular customization and safety (Zou et al, 2022). MARBLE's modular design enhances performance and reusability, while service integration emphasizes social sustainability (Göhlich et al, 2022;Kohl et al, 2020;van der Schoor & Göhlich, 2023). Ostermeier et al (2022) aimed to optimize last-mile robot-truck delivery services by developing route-planning algorithms to address real-world challenges and operational costs.…”

Section: Product Design and Service Models For Autonomous Robotsmentioning

confidence: 99%

“…For demonstrating the applicability of CLAPS, a service robot in the field of waste management has been taken into consideration. The Mobile Autonomous Robot for Litter Emptying (MARBLE) project at the Technical University of Berlin has developed a functional prototype of a service robot capable of autonomously emptying street litter-bins (Göhlich et al, 2022). The MARBLE prototype (Figure 5 (a)) follows the Modular Product Architecture (MPA), emphasizing efficient product development based on requirements management Göhlich et al, 2022).…”

Section: Validation: Application For Use-case Marblementioning

confidence: 99%

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Service centric design methodology for integrated robot-infrastructure systems

Gupta,

Göhlich

2024

Proc. Des. Soc.

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The ongoing development of technology and AI facilitates the emergence of service robots in various application fields. Hence, the development of robot-infrastructure product-service systems (PSS) will become increasingly important. Based on the existing literature we propose a new methodological approach for a joint development of robot and infrastructure in the context of a socio-technical system with various stakeholders. We suggest digital models and physical prototypes to synchronize service and product development. The applicability is demonstrated for autonomous waste management robots.

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Section: Product Design and Service Models For Autonomous Robotsmentioning

confidence: 99%

Section: Validation: Application For Use-case Marblementioning

confidence: 99%

Service centric design methodology for integrated robot-infrastructure systems

Gupta,

Göhlich

2024

Proc. Des. Soc.

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“…Only when these costs are taken into account can a serious comparison of different concepts be made [23,24]. Local conditions have a significant influence on the choice of a suitable electric bus concept [23,25]. These local conditions should take into account restrictions on crew scheduling [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Fleet Structure for Autonomous Electric Buses: A Route-Based Analysis in Aachen, Germany

Sistig,

Sinhuber,

Rogge

et al. 2024

Sustainability

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Intelligent transportation systems enhance the potential for sustainable, user-friendly, and efficient transport. By eliminating driver costs, autonomous buses facilitate the redesign of networks, timetables, and fleet structure in a cost-effective manner. The electrification of bus fleets offers the opportunity to further improve the environmental sustainability of transportation networks, but requires adjustments to vehicle schedules due to the limited range and charging requirements. This paper examines the intricate relationship between electrification and autonomous buses. To this end, timetables for autonomous electric buses of different sizes were developed for a real bus route in Aachen, Germany. The resulting electric vehicle scheduling problem was then solved using an adaptive large neighborhood search to determine the number of vehicles needed and the total cost of ownership. By eliminating driver costs, vehicles with lower passenger capacity become much more attractive, albeit at a slightly higher cost. In comparison, the incremental costs of electrification are low if the right approach is taken. Fluctuations in typical passenger numbers can be used to modify timetables and vehicle schedules to accommodate the charging needs of autonomous electric buses. In particular, electric bus concepts with fewer charging stations and lower charging power benefit from adapting the timetable to passenger numbers. The results demonstrate that the specific requirements of electric buses should be considered when adapting networks and timetables in order to design a sustainable transport network.

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“…We developed and tested a prototype of the robot MARBLE, depicted in Figure 1, which can autonomously empty the litter bins [8,27]. With the help of various sensors like Lidar, ultrasonic sensors, depth cameras, and GPS, the robot can autonomously navigate through crowded places, formulating paths while avoiding dynamic and static obstacles.…”

Section: Marble and Seasmentioning

confidence: 99%

Minimum Energy Utilization Strategy for Fleet of Autonomous Robots in Urban Waste Management

Justo,

Gupta,

Umland

et al. 2023

Robotics

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Many service robots have to operate in a variety of different Service Event Areas (SEAs). In the case of the waste collection robot MARBLE (Mobile Autonomous Robot for Litter Emptying) every SEA has characteristics like varying area and number of litter bins, with different distances between litter bins and uncertain filling levels of litter bins. Global positions of litter bins and garbage drop-off positions from MARBLEs after reaching their maximum capacity are defined as task-performing waypoints. We provide boundary delimitation for characteristics that describe the SEA. The boundaries interpolate synergy between individual SEAs and the developed algorithms. This helps in determining which algorithm best suits an SEA, dependent on the characteristics. The developed route-planning methodologies are based on vehicle routing with simulated annealing (VRPSA) and knapsack problems (KSPs). VRPSA uses specific weighting based on route permutation operators, initial temperature, and the nearest neighbor approach. The KSP optimizes a route’s given capacity, in this case using smart litter bins (SLBs) information. The game-theory KSP algorithm with SLBs information and the KSP algorithm without SLBs information performs better on SEAs lower than 0.5 km2, and with fewer than 50 litter bins. When the standard deviation of the fill rate of litter bins is ≈10%, the KSP without SLB is preferred, and if the standard deviation is between 25 and 40%, then the game-theory KSP is selected. Finally, the vehicle routing problem outperforms in SEAs with an area of 0.5≤5 km2, 50–450 litter bins, and a fill rate of 10–40%.

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Design Methodologies for Sustainable Mobility Systems

Cited by 6 publications

References 25 publications

Service centric design methodology for integrated robot-infrastructure systems

Service centric design methodology for integrated robot-infrastructure systems

Optimizing Fleet Structure for Autonomous Electric Buses: A Route-Based Analysis in Aachen, Germany

Minimum Energy Utilization Strategy for Fleet of Autonomous Robots in Urban Waste Management

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