A5060233949- Transportation and Mobility Innovations
- Vehicle Routing Optimization Methods
- Transportation Planning and Optimization
- Urban and Freight Transport Logistics
- Railway Systems and Energy Efficiency
- Aviation Industry Analysis and Trends
- Advanced Manufacturing and Logistics Optimization
- Maritime Ports and Logistics
- Scheduling and Optimization Algorithms
- Scheduling and Timetabling Solutions
- Electric Vehicles and Infrastructure
- Supply Chain and Inventory Management
- Blockchain Technology Applications and Security
- Air Traffic Management and Optimization
- Optimization and Packing Problems
- Digital Innovation in Industries
- Flexible and Reconfigurable Manufacturing Systems
- Railway Engineering and Dynamics
- Digital Platforms and Economics
- Corporate Governance and Management
- Traffic control and management
- Business Process Modeling and Analysis
- Innovation and Knowledge Management
- Consumer Market Behavior and Pricing
- Forecasting Techniques and Applications
Freie Universität Berlin
2015-2024
Berlin School of Economics and Law
2019-2020
Paderborn University
2001-2009
This paper discusses the integrated vehicle- and crew-scheduling problem in public transit with multiple depots. It is well known that integration of both planning steps discloses additional flexibility can lead to gains efficiency, compared sequential planning. We present a new modeling approach based on time-space network representation underlying vehicle-scheduling problem. The solved column generation combination Lagrangian relaxation. subproblem modeled as resource-constrained...
Abstract Diagnosing autism spectrum disorders (ASD) is a complicated, time-consuming process which particularly challenging in older individuals. One of the most widely used behavioral diagnostic tools Autism Diagnostic Observation Schedule (ADOS). Previous work using machine learning techniques suggested that ASD detection children can be achieved with substantially fewer items than original ADOS. Here, we expand on this specific focus adolescents and adults as assessed ADOS Module 4. We...
Digital infrastructures result from individual yet interdependent systems evolving in relation to each other. This paper identifies three processes by which become embedded into digital infrastructures. The first is a parallel process, whereby independently of second competitive compete for resources and attention one system usually thrives while the other loses importance. third spanning process characterizing situation boundary-spanning between distinct parts infrastructure. processes,...
Abstract Over the past few years, many public transport companies have launched pilot projects testing operation of electric buses. The basic objective these is to substitute diesel buses with within companies’ daily operations. Despite an extensive media coverage, share deployed still remains very small in practice. In this context, new challenges arise for a company’s planning process due considerably shorter ranges compared traditional combustion engine and necessity recharge their...
The transition from traditional fuel-based bus transportation towards electric systems is regarded as a beacon of hope for emission-free public transport. In this study, we focus on battery systems, in which charging possible at variety locations distributed terminal stations over the entire network. such two intertwined planning problems to be considered are location and vehicle scheduling. We account interdependent nature both by adopting simultaneous optimization perspective....
Many public transport companies have recently launched projects testing the operation of electric buses. Progressively, traditional combustion engine buses are being replaced by In such cases, some stops on bus lines equipped with charging technology. Combustion can operate for an entire day without having to refuel. By contrast, considerably shorter ranges and need recharge their batteries throughout a day. For cost-efficient use buses, stations must be located within road network so that...
Abstract Unavoidable disruptions induce the necessity of delay management in timetable‐driven passenger rail traffic. Minimizing negative consequences delays becomes one most relevant challenges for economic success, as it directly affects timeliness passengers, which is a core indicator customer satisfaction. In this article, we evaluate and compare various strategies railway network. A simulator has been implemented to generate perform operations control decisions resolve connection...
This work examines combined vehicle and crew scheduling in public bus transit the context of both robust cost-efficient resource allocation. Cost-efficiency terms minimal planned costs for usage is already addressed numerous contributions providing increasingly sophisticated optimization approaches that are able to compute highly efficient schedules. Unfortunately, during operations resulting tight schedules generally more susceptible disruptions causing delays or even cascades delays....
Abstract The last decades have seen a considerable move forward regarding integrated vehicle and crew scheduling in various realms (airline industry, public transport). With the continuous improvement of information communication technology as well general solvers it has become possible to formulate more rich versions these problems. In transport, issues like rostering, delay propagation or days-off patterns part this paper we aim revisit an earlier formulation incorporating investigate...
Airline transportation frequently has to deal with disruptions, like technical breakdowns or bad weather conditions. Resulting delays often lead additional delays, due interdependencies between different resources such as aircraft crews. In the following schedules may become infeasible during day of operations. This forces operations control recover those by mostly expensive actions. Regarding this difficulty robust scheduling deals construction that are less affected e.g. increasing delay...
In order to enhance the efficiency and reliability of bus transportation systems, it is important predict travel time precisely in planning phase. With precise prediction times, cost can be reduced for companies, such as from fixed buffer times between trips, while a better service provided passengers. this study, historical data line HOCHBAHN company Germany 2019 are used analysis. We develop two neural network models, namely multilayer perceptrons long short-term memory network, predicting...
In this paper, we study the problem of discerning different reasons for which train delays occur. Given total amount delay a specific builds up at station, discern primary that would have occurred if there was no other in network, such as vehicle problems, from secondary are knock-on delays. Our approach is to an ML model predicts additional train, given set features weather and nearby trains. Methods explainable AI help classify contribute prediction model. particular, apply SHAP values use...