Research

Due to increasing population in metropolitan areas, intelligent planning and control of urban mobility and freight transportation is becoming more important. Traditionally, research in the area of city logistics has investigated the trade-off between efficiency and reliability of urban deliveries. Extending well-known city logistics approaches, the Management Science Group focuses on the preparation and aggregation of large databases for dynamic and stochastic methods of transportation planning and control, e.g., optimal path-finding and vehicle routing. We follow a wholistic approach stretching from data collection via data aggregation with data mining to extended approaches of applied operations research. We are also interested in better planning and control of mobility and transportation services such as car and bike sharing services.

 
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    • Intelligent Urban Transportation
      • Preparation and Aggregation of Empirical Data
      • Efficiency, Reliability and Sustainability in City Logistics Planning
  • Optimization of Shared Mobility Systems
  • Intelligent Data Analysis & Data Mining
  • Heuristic Optimization Approaches

Ongoing Projects

The list of completed projects can be found here.

Analysis and Operational Planning of Innovative Last-Mile Delivery Concepts

Especially during the last two decades, increasing urbanization and e-commerce have resulted in a substantially growing amount of urban freight transportation. Simultaneously, customers have become more demanding with respect to cost, fulfillment speed, and delivery tracking, while municipalities have introduced stricter environmental regulations. As a consequence and supported by an increasing data availability, many innovative last-mile delivery concepts have been proposed in recent years in order to handle these new developments and requirements. Examples include (mobile) pick-up stations, delivery drones, crowdshipping, and the usage of existing mobility infrastructure.

Within this research project, different innovative delivery concepts will be analyzed and underlying optimization problems will be identified. Moreover, solution approaches will be developed to solve such planning problems.

Contact person: Tino Henke

Last_mile_Delivery_Concepty

Routing in E-Fulfillment

The project focuses on the planning of attended last-mile delivery services. Last-mile delivery services such as recently available food delivery in Germany (e.g. AllYouNeedFresh, Bringmeister, REWE) offer comfortable food delivery within a customer chosen time window. The time of order delivery is frequently the sole physical contact between e-commerce supplier and customer. Therefore, this event is decisive with regard to customer satisfaction and perceived product quality.

Many customers ask for tight service time windows and punctual deliveries, but tight service time windows significantly reduce the provider's planning degrees of freedom. They also lead to increased delivery costs in an environment determined by high competitive pressure and low profit margins. The proposed project considers service time windows as a scarce resource and as the critical interface between order capture and order delivery. Our research objective is to extend tactical and operational planning for e-fulfillment optimally utilizing this scarce resource. Our focus is on the conditions and effects of different degrees of considering routing flexibility when offering short time windows.

Contact person: Charlotte Köhler

Considering Complex Customer Preferences in Multimodal Travel Itineraries

CollageTransport_FotorEasier access for travelers to a variety of individual mobility services via mobility applications and the integration of innovative means of transport have led to an increase in multimodal travel behavior in recent years. In this context, the combination of different transportation services within a certain period of time (mostly one week), or in particular within one trip, is referred to as multimodal mobility. In this research project, optimization approaches are developed which take complex individual customer preferences into account when orchestrating travel itineraries. In particular, the identification of a diversified and adequate amount of different travel itineraries under consideration of individual customer preferences will be discussed.

 

Contact person: Thomas Horstmannshoff

Potentials of Automated Transport Systems (PAVE), funded by the Federal Ministry of Transport and Digital Infrastructure (BMVI)

The technical progress on self-driving and connected cars is expected to lead to a significant change in the realization and organization of passenger and freight transportation. Aims of the project are: (1) to derive requirements for self-driving vehicles, (2) to estimate and evaluate their impact on transportation systems as well as environment and safety, (3) and to develop visions of future behavioral and organizational forms caused by self-driving vehicles.

A key aspect in achieving these aims is the development and investigation of solution approaches for the strategic and operational planning problems of self-driving and connected car based services.

Contact person: Jarmo Haferkamp and Rico Kötschau

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Last Modification: 27.02.2019 - Contact Person:

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