The rise of e-commerce means an increase of delivery trucks driving around in our cities. Governments are forced to create new policies for regulating the increase in traffic, keeping our cities functional and safe. Improvements to infrastructure and better planning also play a major role in smart logistics.

Modern cities have many measuring sites for collecting real-time traffic data. Every minute they collect data about traffic flow, realised travel time, estimated travel time, traffic speed and vehicle classes. For smart logistics it is important to understand “how the city works”. What are the main problems within the city? What is limiting an increase in traffic? What is the effect of new policies such as environmental area’s, delivery time windows, etc.?

The aim of this project is to analyse and visualize the vast amount of city traffic data with the possibility to see how different types of policies would affect the traffic flows of both people and freight.

• Combine collected data from measuring sites with geographical image data
• Develop multiple visualization techniques for understanding the main problems within the city logistics
• Interact with smart optimalization algorithms to visualize how policy changes will affect the city logistics

* Smart Logistics Lab