Vehicles that today are searching for a place to stop impacts other vehicles in cities. It can also be seen that the number of vehicles that desire to conduct a pick-up or drop-off increases with an increased number of ride-hailing services. New technology routing advises for such vehicles could improve the overall performance of a traffic network. This thesis analyses therefore how a routing strategy, that incorporates curbside availability information, can impact the performance. To analyse the effects of how curbside availability information can impact a network, a microscopic traffic simulation model was constructed in PTV Vissim and two different routing strategies were developed and implemented in the model. One strategy that represents the scenario of today where vehicles searches the traffic network while attempting to make a stop at a pick-up and drop-off slot. The second strategy routes vehicles to a slot based on curbside availability information. This strategy directs vehicles to an available slot and therefore reduces the time a vehicle is cruising before a stop has been made. A simulation experiment was set-up to compare the strategies that were developed with different penetration rates of vehicles that desired to stop. The results shows that the average travel time can be reduced with up to 25.2\% when vehicles have information compared to the scenario with no information. Similar findings is identified for average delay per vehicle which is reduced with up to 49.0\% and average traveled distance decreased with up to 15.5\%. The results of this thesis needs however to be studied in a wider context in order to draw reliable conclusions. The thesis propose further investigations whether a strategy that incorporates availability information can be implemented in a real world scenario and further investigations whether an implementation of a strategy like this would be socioeconomic beneficial.