A smart sustainable city is a creative city that employs technology in order to enhance the quality of life and productivity of services while fulfilling different aspects of the lives of current and future citizens. Smart transportation is an essential part of a smart city and is a way of providing innovative services for various modes of transport and traffic management. It enhances security, boosts efficiency and contributes to a greener environment. Smart traffic management aimed to reduce traffic congestion, total waiting time, fuel consumption and air pollution. Controlling and improving traffic light parameters improves traffic volume, which affects crashes, loss of time and delays. This thesis aimed to take a positive step for smart mobility in Olomouc based on the existing infrastructure. Fixed-time traffic lights are the most common type of traffic signals in Olomouc, which investigating the current system would be more economical. An optimization algorithm is coded in MATLAB in order to achieve the minimum total waiting time and optimum duration of states for a day. The analysis of results suggests that time-of-day mode control is suitable by offering two scenarios for peak and non-peak periods. The total waiting time for both scenarios enhanced compared to the fixed-time scenario of 1 minute for each state. It was also investigated that by increasing the capacity of the intersection by managing the existing infrastructure, total waiting time per single vehicle would be improved as well. Decreasing the total waiting time makes the system more effective than it is today. In fact, by knowing the density of incoming cars in different directions, we can save a lot of time by programming the crossing. It is expected by decreasing the total waiting time and unnecessary stops at red lights, the air pollution would decrease as well in long term.A smart sustainable city is a creative city that employs technology in order to enhance the quality of life and productivity of services while fulfilling different aspects of the lives of current and future citizens. Smart transportation is an essential part of a smart city and is a way of providing innovative services for various modes of transport and traffic management. It enhances security, boosts efficiency and contributes to a greener environment. Smart traffic management aimed to reduce traffic congestion, total waiting time, fuel consumption and air pollution. Controlling and improving traffic light parameters improves traffic volume, which affects crashes, loss of time and delays. This thesis aimed to take a positive step for smart mobility in Olomouc based on the existing infrastructure. Fixed-time traffic lights are the most common type of traffic signals in Olomouc, which investigating the current system would be more economical. An optimization algorithm is coded in MATLAB in order to achieve the minimum total waiting time and optimum duration of states for a day. The analysis of results suggests that time-of-day mode control is suitable by offering two scenarios for peak and non-peak periods. The total waiting time for both scenarios enhanced compared to the fixed-time scenario of 1 minute for each state. It was also investigated that by increasing the capacity of the intersection by managing the existing infrastructure, total waiting time per single vehicle would be improved as well. Decreasing the total waiting time makes the system more effective than it is today. In fact, by knowing the density of incoming cars in different directions, we can save a lot of time by programming the crossing. It is expected by decreasing the total waiting time and unnecessary stops at red lights, the air pollution would decrease as well in long term.