In large urbanized cities, a major problem that affects the economy and health of all citizens is vehicular congestion. This is because the traffic light cycles are not adequate. In the present study, we seek to optimize traffic light cycles based on simulation, in order to improve vehicle flow. For this, the PTV Vissim 9.0 software was used as a simulator and the Synchro 10.0 software to determine the initial optimal traffic light cycle. Through several runs and having as variables the length of queues, delay times and the average speed, the optimal traffic light cycle could be found for the study area. The results obtained reflect a 14% reduction in delay times and 10% in queue lengths. On the other hand, the average vehicle speed increased by 10.56%. All this represents an improvement in the service level of the study intersections.

In September 2014, a new regulation was proposed in Sweden, which indicates aset of rules of giving way under different types of bicycle intersections. Meanwhile,new definitions were endued to bicycle passages and bicycle crossings. After thepriority of cyclists is guaranteed at bicycle crossings, potential delay for motorvehicles in the mainstream should not be ignored as well.Therefore, inspired by the previous study from Movea, this thesis project is goingto focus on unsupervised bicycle passages and bicycle crossings, with the aim ofassessing and inspecting the impacts of different bicycle intersections on vehicledelays.The relationship between delay and flows at bicycle intersections has beenresearched in detail. Initially, an empirical study has been carried out on the basisof data from field measurements. In addition, a microscopic traffic simulationmodel has been constructed for the analysis of theoretical situations. The delay isproved to have a linear relationship with vehicle flow and bicycle flow. However,the linear relationship based on field data turns out to be different from the onefrom simulation output.