Logistics and Mobility: moving goods or people from A to B. We have built a global and local infrastructure in which goods and people move in a high frequency, volume and quality. Individual actors execute individual tasks in a highly efficient manner. However, if we look at the system on a higher level we can see loads of waste: A lot of air is being transported (about 50%), people are waiting (about 50%) or an acceptable service is not available. New technologies and the inter-connectedness of systems and goods increases the transparency in the chain. The data and the connectivity reveals an entire new set of opportunities and business models.
The port and its infrastructure networks surrounding in the area, can be seen as a whole. Optimizing the capacity and planning requires an overview of showing flows of cars, lorries, public transport, bicycles, cargo, vessels, unused spaces, etc. balancing the ups and downs in the network. In the end, efficient coordination of goods and spaces will also result in the green flow: a more sustainable (Port of) Rotterdam!
So, how can we improve the movement of people and Cargo on the infrastructure networks, or improve the availability and safety of infrastructure?
Let's co-create the port of the future!
Road incidents cause 30% of delays because of traffic jams. Road incidents are not necessarily caused by infrastructural causes, but often influenced by external factors like broken down vehicles or accidents. In addition, road authorities are looking to improve the performance of salvage companies. One of the means is a payment structure in which the salvage company is rewarded when they solved an incident most effectively. Now they are being paid just for the hours that they have been working. But such a system requires knowledge about the possible consequences of the incident. For example, which road incident causes the most delays, and which places in the infrastructure networks are most critical when it comes to incidents.
Which segments in the road infrastructure are most vulnerable to road incidents? Can we find ways to detect incidents earlier? On which roads/road segments would it be better to delay salvage work until after rush hours to reduce traffic jams?
Salvage workers and traffic managers need to work quickly when a road incident occurs. Depending on the type of incident they apply a specific scenario. Some of the scenarios are pre-written, in other moments the professional needs to improvise. The big quest here is to find a way to predict those incidents so we can handle them more efficiently.
Can incidents be predicted? Can you suggest scenarios that would be most suited for (predictable or unpredictable) incidents?
In some parts of the city of Rotterdam incidental visitors (people who travel in the city less than once a week) make up a very large proportion of the vehicles on the road. Sometimes more than 60% of all vehicles are not a regular user of the roads. They can choose between car, public transport over land or water, (e-)bike and walking. They can also combine these modalities, but it is not always easy for a visitor to have enough overview of these specific options.
Can we help (incidental) visitors (tourists, workers, salesmen, lorry drivers, etc.) to find their way around the infrastructure networks in the Rotterdam region in a way that reduces the negative footprint they have on the infrastructure networks nowadays? In other words: can you provide the most effective way of moving people or goods from A to B based on real-time information?