Parcel delivery operators experience an increasing pressure to meet the strongly growing demand for delivery services, while protecting city livability and the environment. Improving the performance of the last mile of delivery is considered key in meeting this challenge as it forms the most inefficient, expensive, and environmentally unfriendly part of delivery operations. A primary cause is a significant duplication of service areas, resulting in redundant vehicle kilometers traveled. In this paper, a new method is presented that allows for the allocation of parcels to delivery vehicles and construction of vehicle routes in real time through an auctioning system. These tasks are performed in a self-organizing manner by vehicles, parcels, and a supporting platform, to allow for collaborative and intermodal delivery. The performance of this new method is tested and compared against the currently used techniques using an agent-based simulation model. The new method manages to greatly improve the efficiency, robustness, and flexibility of delivery operations.
An agent-based simulation model of dynamic real-time traffic signal controller
