Modeling of traffic on fairways

Modeling of traffic on fairways: Optimizing the allocation of traffic

de Kloet, Q.

Heemink, A.W. (mentor)
van der Woude, J.W. (mentor)
Robaczewska, K. (mentor)

Electrical Engineering, Mathematics and Computer Science

Delft Institute of Applied Mathematics (DIAM)

Mathematical physics

2016-12-09

There has been a lot of research done into traffic on roads and multiple traffic models have been set up for this type of traffic. A subject that has been largely neglected is the traffic on fairways. The research goal set for my graduation project is to define a model that can simulate the traffic on fairways and use this model to optimize the allocation of this traffic. To achieve this the existing traffic models have been investigated. This way a model was found that could be extended to fairway traffic, the mesoscopic model. Within the mesoscopic model there is a possibility to incorporate a more detailed microscopic model for the objects (locks and bridges). Several microscopic models were defined for the locks and bridges. Optimization models were set up based on previous work done into lock modeling. However, optimization models cannot include all rules used in reality; this makes heuristic models more efficient. For bridges the optimization model can be defined starting from the lock optimization. This optimization model can determine what the best time to open a bridge is. In the case of bridges the situation decides which model is best to use. When no information is available, the best result comes from an optimization model. Some bridges have fixed opening times; simply using this schedule gives the same result in less time. The mesoscopic model was implemented on a practical case in Zeeland. Using this model it is possible to gain insight into several elements: - Give a value to the efficient use of objects when traffic is spread over the day and night equally. - Effect of different situations that can occur when maintenance reduces the capacity of the network. - Effect of stimulating skippers to travel at a time when there is less traffic, optimizing the allocation of traffic.

http://resolver.tudelft.nl/uuid:230f983a-1119-4b08-80ee-be3b120f2d1f

Student theses

master thesis

(c) 2016 de KLoet, Q.