Promoting public transit can be done at a reasonable cost using the tram 
system. However, the system's steady operation depends on the delay at 
signalized junctions. Transit signal priority (TSP) control has been investigated 
as a way to enhance system performance. To address this challenging issue, our 
work concentrates on passive TSP control for the Tram system. To minimize per 
capita delay, an optimization model is developed to coordinate signal offsets 
along the Tram Line's arteries. The results of our case study on the tram route in 
Alexandria, Egypt, suggest that passive TSP control could give trams priority 
while little affecting other traffic. Using a meta-heuristic algorithm and a genetic 
algorithm, we present a unique passive signal priority with average per-vehicle 
delay minimization as a goal. The mathematical optimization model is developed 
based on the Highway Capacity Manual (HCM2000). For the resultant optimal 
TSP, a set of restrictions has been established to indicate effectiveness and 
security. We compare the resulting cycle length and phasing timing in each 
junction using the "Pattern search algorithm," another effective optimization 
methodology, to show the effectiveness of the suggested approach. The results 
show that the objective function of the genetic algorithm and the pattern search 
algorithm is pretty much identical, also the tram headway, cycle lengths, and green time for each phase of the signalized intersection along the tram line will 
be presented in the study