In 2019 a virus surfaced in China that would later cause a pandemic: the coronavirus. Across the world measures were taken to reduce the spread of the virus. Public Transport (PT) had a unique position, being both an essential service and a place where the virus can easily be spread. This research investigates the measures taken in PT in the Netherlands and internationally in an objective manner. No assessment is made of any kind of any measure. In the Netherlands, the Outbreak Management Team collaborated with the public transport association OV-NL to ensure every companies response was similar. Through an interview with the chairman of OV-NL, Pedro Peters, more information was gathered on this particular aspect of the research. Besides taking measures to reduce the virus, mainly by reducing or avoiding contact (both between people and with surfaces), companies reduced their service levels. This reduction was a response to the large decrease in passenger demand and partly to more of the personnel reporting sick. This research investigated this reduction of service throughout the first period of the virus outbreak in the Netherlands (27th of February – 1st of June). Besides the Netherlands, measures taken in other countries were also investigated, showing many similarities. However, other measures were taken as well, like checking the temperature of passengers in for example Thailand, China or Iran or using a proximity app which happened in Singapore. Not every country experienced the virus outbreak at the same time. In the research, data by the Oxford University and Blavatnik School of government was used to create world maps that visualize the closing of public transport for all days of the outbreak up to June 1st. The same was done to create a map for lockdowns and using data found through an online search a world map visualisation was made about the mandatory use of face masks in public transport. The maps show a general trend: following the virus, but it is clear that some countries responded early or late and that the correct response to the virus was unclear. Especially the face mask visualisation shows a more random pattern. So while within the Netherlands the response to the virus was uniform, internationally the response was quite random. This research can be used to further research the measures taken and assess the measures with regards to for example effectiveness, safety or comfort.

Urban mobility is challenged with increasing demand, while at the same time reducing emissions, without leading to an unpleasant living environment. Reducing the number of stops on the urban arterial controlled by the coordinated traffic controller can provide (part of) the solution to these challenges for urban mobility. Coordinated traffic controllers are subject to some limitations, especially regarding coordination between locally optimal signal timing plans and proactive optimization of the coordination with regards to traffic demand. These limitations where explored in this thesis, where a variable speed was proposed to be able to provide coordination between locally optimal signal timing plans and where the usage of predictions with regards to proactive optimizations was tested. A theoretical study showed no realistic potential for coordination between unequal cycle times, however theory does show significant potential of the usage of a variable speed for coordination between locally optimal signal timing plans, when coordinating in two directions. This potential of the variable speed was confirmed by using the MAXBAND model and performing a simulation study, which indicated a significant decrease in stops on the main arterial over optimizing with a fixed speed. Furthermore, the variable speed allowed for a lower network cycle time, which resulted in a decrease in delay on the side directions. Tests of demand predictions in TopTrac yielded no significant improvements of stops nor delay. In the investigated network, control decisions of the coordinated traffic controller did not correlate closely with fluctuating demand, which is needed for a prediction of the demand to produce significant improvements regarding the stops and delay in the network. Future research should focus on the variable speed, evaluating the theoretical applications in other networks and exploring the practical applications, potentially via Intelligent Speed Adaptation (ISA).