Frederik Schulte

Frederik Schulte
Delft University of Technology | TU · Department of Maritime and Transport Technology (M&TT)

PhD

About

57
Publications
23,459
Reads
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454
Citations

Publications

Publications (57)
Article
Port-related emissions are a growing problem for urban areas often located directly next to maritime container terminals highly frequented by container trucks. Empty truck trips, caused by a lack of coordination among truckers, are responsible for a significant share of these emissions, and collaboration among truckers is seen as the major opportun...
Article
Full-text available
Cooperation is important in order to find efficient vehicle routing solutions for the growing transportation market. Increasingly, platforms emerge as facilitators for this kind of collaborative transportation. However, individual actors connected to a platform might refuse to share (parts of) their information due to reasons of competition. Though...
Article
Full-text available
Current mobility services cannot compete on equal terms with self-owned mobility products concerning service quality. Due to supply and demand imbalances, ridesharing users invariably experience delays, price surges, and rejections. Traditional approaches often fail to respond to demand fluctuations adequately since service levels are, to some exte...
Article
Full-text available
With the popularization of transportation network companies (TNCs) (e.g., Uber, Lyft) and the rise of autonomous vehicles (AVs), even major car manufacturers are increasingly considering themselves as autonomous mobility-on-demand (AMoD) providers rather than individual vehicle sellers. However, matching the convenience of owning a vehicle requires...
Article
Full-text available
Carriers can remarkably reduce transportation costs and emissions when they collaborate, for example through a platform. Such gains, however, have only been investigated for relatively small problem instances with low numbers of carriers. We develop auction-based methods for large-scale dynamic collaborative pickup and delivery problems, combining...
Chapter
The trends of autonomous transportation and mobility on demand in line with large numbers of requests increasingly call for decentralized vehicle routing optimization. Multi-agent systems (MASs) allow to model fully autonomous decentralized decision making, but are rarely considered in current decision support approaches. We propose a multi-agent a...
Chapter
Collaboration in transportation is important to reduce costs and emissions, but carriers may have incentives to bid strategically in decentralized auction systems. We investigate what the effect of the auction strategy is on the possible cheating benefits in a dynamic context, such that we can recommend a method with lower chances for carriers to c...
Article
Full-text available
Traditionally, terminal operators create an initial berthing plan before the arrival of incoming vessels. This plan involves decisions on when and where to load or discharge containers for the calling vessels. However, disruptive unforeseen events (i.e., arrival delays, equipment breakdowns, tides, or extreme weather) interfere with the implementat...
Preprint
With the popularization of transportation network companies (TNCs) (e.g., Uber, Lyft) and the rise of autonomous vehicles (AVs), even major car manufacturers are increasingly considering themselves as autonomous mobility-on-demand (AMoD) providers rather than individual vehicle sellers. However, matching the convenience of owning a vehicle requires...
Article
The craft beer supply chain in the USA differs from the supply chain of macro breweries in its structure, handled volumes and product shelf-life. In this work, we study how these smaller craft breweries can benefit from transparency in their supply chain. We consider additional information sharing of orders and inventories at downstream nodes. The...
Article
The shared autonomous vehicle (SAV) is a new concept that meets the upcoming trends of autonomous driving and changing demands in urban transportation. SAVs can carry passengers and parcels simultaneously, making use of dedicated passenger and parcel modules on board. A fleet of SAVs could partly take over private transport, taxi, and last-mile del...
Article
Full-text available
Human aspects in collaboration of humans and robots, as common in warehousing, are considered increasingly important objectives in operations management. In this work, we let robots learn about human stress levels based on sensor data in collaborative order picking of robotic mobile fulfillment systems. To this end, we develop a multi-agent reinfor...
Article
Full-text available
Human aspects in collaboration of humans and robots, as common in warehousing, are considered increasingly important objectives in operations management. This work aims to let robots learn about human discomfort in collaborative order picking of robotic mobile fulfillment systems. To this end, a multi-agent reinforcement (MARL) approach that consid...
Data
The 2020 ISM Conference Best Paper Award
Preprint
Full-text available
Human aspects in collaboration of humans and robots, as common in warehousing, are considered increasingly important objectives in operations management. In this work, we aim to let robots learn about human discomfort in collaborative order picking of robotic mobile fulfillment systems. To this end, we develop a multi-agent reinforcement (MARL) app...
Article
Full-text available
Residents of cities' most disadvantaged areas face significant barriers to key life activities, such as employment, education, and health-care, due to the lack of mobility options. Shared autonomous vehicles (SAVs) create an opportunity to overcome this problem. By learning user demand patterns, SAV providers can improve regional service levels by...
Article
Automated ground vehicles (AGVs) are essential parts of container operations at many ports. Forming platoons—as conceptually established in trucking—may allow these vehicles to directly cater demand points such as dry ports in the hinterland. In this work, we aim to assess such AGV platoons in terms of operational efficiency and costs, considering...
Article
Dynamic pricing can be used for better fleet distribution in free-floating vehicle sharing (FFVS), and thus increase utilization and revenue for the provider by reducing supply-demand asymmetry. Supply-demand asymmetry refers to the existence of an undersupply of vehicles at some locations at the same time as underutilization of vehicles at other l...
Chapter
Automated ground vehicles (AGVs) are essential parts of container operations at many ports. Forming platoons—as conceptually established in trucking—may allow these vehicles to directly cater demand points such as dry ports in the hinterland. In this work, we aim to assess such AGV platoons in terms of operational efficiency and costs, considering...
Article
While collaborative vehicle routing has a significant potential to reduce transportation costs and emissions, current approaches are limited in terms of applicability, unrealistic assumptions, and low scalability. Centralized planning generally assumes full information and full control, which is often unacceptable for individual carriers. Combinato...
Article
Full-text available
trOver the last decade, platforms have emerged in numerous industries and often transformed them, posing new challenges for transportation research. Platform providers such as Uber, Uber Freight, Blackbuck, or Lyft mostly do not have immediate control over the physical resources needed to move people or goods. They often operate in a multi-sided ma...
Preprint
Over the last decade, platforms have emerged in numerous industries and often transformed them, which poses new challenges for transportation research. Platform providers mostly do not have immediate control over the physical resources to move people or goods. They often operate in a multi-sided market setting, where it is crucial to design clear i...
Preprint
Current mobility services cannot compete on equal terms with self-owned mobility products concerning service quality. Due to supply and demand imbalances, ridesharing users invariably experience delays, price surges, and rejections. Traditional approaches often fail to respond to demand fluctuations adequately since service levels are, to some exte...
Article
Full-text available
This paper investigates a new collision-free routing problem of a multi-robot system. The objective is to minimize the cycle time of planar operation tasks for each robot while avoiding collisions. The focus is set on the operation of the end effector and its connected joint, and the operation is projected onto a circular area on the plane. We prop...
Chapter
Business/IT alignment can be considered a key challenge in IT governance and becomes especially important in IT-heavy and internet based business models. Recent discussions express the need for a bi-directional paradigm for internet based business models. IT governance frameworks support business/IT alignment but mostly follow a business-driven ali...
Article
Full-text available
The transportation market requires collaboration to improve efficiency and reduce emissions. Individual carriers, however, might be hesitant to share their private information on a transportation platform. Although a few articles have investigated the value of information sharing, they assume identical behaviour of all carriers. In practice, noneth...
Preprint
Full-text available
Cooperation is widely seen as a major avenue towards more efficient and sustainable resource utilization in numerous transportation problems as digitized processes simplify information exchange between individuals. Nevertheless, successful implementations require planning models that consider cooperation incentives for individuals to form coalition...
Chapter
Business/IT (information technology) alignment can be considered as one of the key challenges of information management (IM). A vast majority of studies assumes a unidirectional alignment process that seeks to link the IT strategies to superior business objectives. However, there are plenty of market situations where the ability of an enterprise, o...
Research Proposal
Full-text available
The ongoing technological transformation-often referred to as Industry 4.0 or Smart Industry-provides new opportunities and challenges to cost-efficiently as well as sustainably design, operate, and maintain systems of machines. Multiple (autonomous) machines are exposed to highly altered working conditions and new kinds of tasks. Standardization,...
Conference Paper
Full-text available
Autonomous vehicles (AVs) are expected to widely re-define mobility in the future, transforming many solutions into autonomous services. Nonetheless, this development requires an expected transition phase of several decades in which some regions will provide sufficient infrastructure for AV movements, while others will not support AVs yet. In this...
Article
Full-text available
In the realm of human urban transportation, many recent studies have shown that comparatively smaller fleets of shared autonomous vehicles (SAVs) are able to provide efficient door-to-door transportation services for city dwellers. However, because of the steady growth of e-commerce and same-day delivery services, new city logistics approaches will...
Article
Full-text available
Empirical research has shown that airside ground operations imply a significant percentage of overall airport-related emissions. Among those operations, taxiing is one of the most emission-intensive processes, directly related to the initial pushback process that has a significant impact on the taxiing duration of departing flights. Possible approa...
Conference Paper
Full-text available
Recent developments in the manufacturing industry are linked to the systematical adoption and deployment of cyber-physical systems (CPS) that monitor and synchronize information between the physical factory floor and the cyber-computational space providing advanced information analytics. While it is widely recognized in literature that the related...
Chapter
Business/IT alignment can be considered a key challenge in IT governance and becomes especially important in IT-heavy and internet based business models. Recent discussions express the need for a bi-directional paradigm for internet based business models. IT governance frameworks support business/IT alignment but mostly follow a business-driven ali...
Conference Paper
Open data (OD) use and the opening of data have become major strategic objectives in different communities. Nevertheless, the potential of OD is still not leveraged in many areas. In this work, we focus the OD impact information systems research. We review the respective literature for different domains of OD research and analyze cases of data-inte...
Conference Paper
Full-text available
Open data (OD) use and the opening of data become an objective in different communities. In informations systems (IS) research, the potential of OD is still not leveraged. We review the respective literature and analyze three cases of data-intensive systems. The resulting changes, challenges, and opportunities that have been identified for IS resea...
Article
The sustainable design of port processes and the use of respective tools and frameworks for ports in Asia and Europe have received significant attention, while similar challenges and methods for the Latin American ports have not been examined to the same extent. This empirical study of the Latin American ports aims to establish the foundation of an...
Article
Full-text available
International trade imbalances make the management of empty containers within shipping networks an important economic and ecological problem. While import-dominated ports accumulate large amounts of empty containers, export-dominated ports need them as transport resources, requiring a repositioning transportation of empty containers on the sea and...
Article
Full-text available
Current market figures from Europe seem to indicate that recently introduced free-floating car sharing (FFCS) systems can be a breakthrough for the car sharing idea. Regardless of their success, FFCS systems face significant regional demand fluctuations, raising the need for vehicle relocations with novel requirements for the product–service system...
Conference Paper
Full-text available
Port-related emissions are a growing problem for urban areas often located directly next to ports highly frequented by trucks and vessels. Empty truck trips are responsible for a significant share of these emissions. Truck appointment systems (TASs) allow scheduling of truck arrivals and enable collaboration among truckers. Though, TASs leveraging...
Conference Paper
Full-text available
This paper presents key findings about on-screen optimal line length for tablet personal computers (PCs). It examines the effects of four different line lengths on the reading speed and reading efficiency. Seventy participants ranging between the ages of 20 and 40 participated in this study. They read four different texts with an average length of...
Article
Full-text available
Information Technology (IT) nowadays is integral part in most organizations and business models, putting Enterprise Governance of IT (EGIT) in focus of researchers and practitioners. A common approach for the implementation of EGIT in organizations is the use of best-practice frameworks, of which COBIT 5 is a very well-known example. However, recen...
Conference Paper
Full-text available
Rapid growth rates seem to indicate that recently introduced free-floating car sharing (FFCS) can mean a breakthrough for the car sharing idea. Like other vehicle sharing systems, FFCS systems face significant regional demand fluctuations. Thus, providers might have to reposition empty vehicles to not lose potential customers. However, this aspect...
Article
Business/IT alignment can be considered a key challenge in IT governance and becomes especially important in IT-heavy and internet based business models. Recent discussions express the need for a bi-directional paradigm for internet based business models. IT governance frameworks support business/IT alignment but mostly follow a business-driven ali...
Conference Paper
Full-text available
COBIT 5 is positioned in the market as a de-facto standard for enterprise governance of IT. Relevant literature and management experience, however, indicate that the adoption of the framework is challenging due to its perceived complexity. In this paper we present a software prototype aiming to promote the understanding of COBIT 5, its components a...
Conference Paper
Full-text available
The rising number of loading devices called swap bodies in road transport has created new opportunities for carriers and novel challenges for researchers in vehicle routing synchronization. Nevertheless, there are few vehicle routing models in literature that integrate swap bodies for combined road transport and there is no known best practice in t...
Conference Paper
Full-text available
In contrast to classical business, e-business highly depends on internet technologies. Business and IT naturally coalesce here. Thus, a customer-driven IT requirement may enforce an adjustment of a business model. This poses new challenges for researchers and practitioners as currently a business-driven alignment paradigm dominates in IT governance...
Article
Business/IT alignment can be considered a key challenge in IT governance and becomes especially important in IT-heavy and internet based business models. Recent discussions express the need for a bi-directional paradigm for internet based business models. IT governance frameworks support business/IT alignment but mostly follow a business-driven ali...
Conference Paper
Full-text available
Late Acceptance Hill Climbing (LAHC) is a recent meta- heuristic in the realm of local search based procedures. The basic idea is to delay the comparison between neighborhood solutions and to compare new candidate solutions to a solution having been current several steps ago. The LAHC was first presented at the PATAT 2008 conference and successfull...

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Projects

Projects (3)
Project
https://www.hindawi.com/journals/jat/si/564025/ Green and environmentally transport planning is a current challenge for public and private organizations. There is a demand for implementing innovative and advanced transport solutions to reduce environmental and social impacts within operations. In this context, current trends are calling for the incorporation of novel strategies and approaches in transport systems for reducing energy usage as well as waste and pollution generation. The consideration of that goal and the connection to this green dimension leads to the need of developing and reviewing current models and methods in the light of modern transport solutions and technologies (e.g., energy reuse, alternative fuels, hybrid and green-energy based vehicles, collaborative planning, autonomous vehicles and truck platooning). Solutions, approaches, and methodologies can assist managers and decision-makers in the design and development of transportation systems while jointly considering environmental-related advances. Research can be furthered by advancing the way we collect, process, and use data within quantitative and decision support approaches. Furthermore, with new smart transport technologies and artificial intelligence (e.g., machine learning, meta-learning, etc.), significant effects can be obtained. To properly capture and utilize the full potential of the latest developments, it is necessary to consider and analyze how artificial intelligence (AI) approaches and decision support systems can jointly foster efficient and environmentally friendly transport operations. The aim of this Special Issue is to highlight the current progress of artificial intelligence approaches for designing, developing, and promoting green and sustainable transportation systems through optimization, intelligent use of data, and advanced decision support. This Issue will aim to provide a platform of research exploring and dealing with transportation problems within the interplay between transportation planning, design, and operations. Submissions should incorporate advanced transport technologies and artificial intelligence techniques that support and enhance transport planning, promote green development, and mitigate negative environmental impacts. Potential topics include but are not limited to the following: *AI techniques for green transport planning *Quantitative evaluation of green transportation systems *Theoretical and/or empirical analysis of AI approaches in green transportation *AI techniques for online and offline planning *AI and mathematical programming in green transportation planning *Sustainability in green transportation systems using AI *The use of AI and operations research to address sustainable planning *Data-driven planning approaches considering environmental-related features *Smart transport solutions using AI to reduce environmental impacts *Emerging transport technologies to support synchromodal transport network planning *Heuristics, meta-heuristics, and hyper-heuristics-based systems *Integrating real-time information into the optimization frameworks *Transportation approaches with shared infrastructure and resources Submission deadline 13 Aug 2021
Project
Over the last decade, platforms have emerged in numerous industries and often transformed them, which poses new challenges for transportation research. Platform providers such as Uber, Uber Freight, Blackbuck, or Lyft mostly do not have immediate control over the physical resources to move people or goods. They often operate in a multi-sided market setting, where it is crucial to design clear incentives to motivate a third-party to engage in collaboration. As a consequence, collaboration incentives become an integral part of decision support models for platform providers and they need to be developed at the operational level and applied in a dynamic way. Naturally, this involves a trade-off between the interests of platform provider, shippers and carriers. In this work, we investigate platforms in transportation and mobility, and investigate collaboration issues such incentives, service quality, different degrees of freedom for decision makers, trust, and potential fraud using optimization techniques, agent-based modeling, and game theory.
Project
Address current transportation challenges regarding throughput and safety with an integrated approach to automated and cooperative driving. In i-CAVE, a Cooperative Dual Mode Automated Transport (C-DMAT) system is researched and designed, consisting of dual mode vehicles which can be driven automatically and manually to allow maximum flexibility. The program integrates technological road maps for automated and cooperative driving, accelerating the development of novel transportation systems addressing today and future mobility demands. Access https://i-cave.nl/ for more information.