Increase urban freight efficiency with delivery and servicing plan

Delivery and Servicing Plan (DSP) is an innovative logistics concept for more efficient organisation of deliveries from the point of view of the receiver of the goods. DSP actions tested in this study include reducing the number of suppliers, grouping deliveries, selecting less distant suppliers and others. It is shown that DSP can help reduce externalities and lead to a substantial reduction of costs. A new tool was developed to calculate the benefits of different DSP options for businesses and the public sector. Reductions in costs and externalities exceeding 50% have been demonstrated in a few cases. Remaining difficulties with the concept are organisational issues, lack of knowledge, need to give external advisory support for shop owners and the limited number of successful applications to date.

Reduced-Reference Image Quality Assessment Based on Edge Preservation

Assessing the subjective quality of processed images through an objective quality metric is a key issue in multimedia processing and transmission. In some scenarios, it is also important to evaluate the quality of the received images with minimal reference to the transmitted ones. For instance, for closed-loop optimisation of image and video transmission, the quality measure can be evaluated at the receiver and provided as feedback information to the system controller. The original images - prior to compression and transmission - are not usually available at the receiver side, and it is important to rely at the receiver side on an objective quality metric that does not need reference or needs minimal reference to the original images. The observation that the human eye is very sensitive to edge and contour information of an image underpins the proposal of our reduced reference (RR) quality metric, which compares edge information between the distorted and the original image. Results highlight that the metric correlates well with subjective observations, also in comparison with commonly used full-reference metrics and with a state-of-the-art reduced reference metric. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.