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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