讲座摘要：

Intelligent Transportation Logistics

      Transportation Logistics in the "Jack Ma" Society has become a major issue in the inner cities: this problem popped up now but exists already since a long time: how can supply logistics be handled in cities such that, e.g., the number of trucks, the number of stops, and truck capacity can be optimized in order to save money, to avoid environmental damage through CO2 and NOx emissions, and to avoid to cause traffic jams.

      It is a very difficult mathematical problem in the first place, if one wants to compute an optimal solution, but there are new developments which allow for near-optimal solutions of real-world transportation problems through heuristics and also anytime solutions. Theses solutions are based on Artificial Intelligence methods using Multi-Agent Systems where autonomous agents negotiate among themselves in order to complete their tasks in the best possible way.

      The lecture outlines the problems, hints at the underlying mathematical structures, and concentrates on a practical solution which will be demonstrated by examples.

智能交通物流

      交通物流在电商时代已经成为城市中的一个主要议题。如何优化城市物流中卡车数量、站点数量、卡车容量等可控的要素，从而降低开销、避免二氧化碳和氮氧化物排放对环境的破坏并且避免造成交通堵塞？这个问题尽管当下才突显，但实际很久以前便已存在。
      首先这是个困难的数学问题，当我们要计算一个最佳的解决方案，随着新的技术发展，通过启发式和即时解决方式，使得我们不断接近现实世界交通问题最优的解决方案。而这正是基于人工智能，采取多代理系统使得各自主代理之间进行谈判，尽可能以最好的方式完成他们的任务。
      本次讲座将概述城市物流的问题，解释人工智能在优化城市物流方面的底层数学结构，并通过一个实际方案进行阐述。