Scholars pay extensive attention to tradable credit and park-and-ride system, which are effective measures to alleviate traffic congestion. The model explores the changes in commuters' choice of travel options after the implementation of the Tradable Credit Policy. It is assumed that residents will comprehensively consider the cost of the bottleneck theory to choose a travel mode, either driving or parking-and-ride. Then solve the model and compare the user equilibrium and system optimization to get results in different scenarios. The research results show that the combination of tradable credits and park-and-ride systems can effectively alleviate traffic congestion. After the implementation of the Tradable Credits policy, the valid range of the number of tickets is obtained through the information published by the government.. In the system's optimal scenario, the proportion of commuters who drive the entire journey is derived. The results of the study provide suitable locations for parking and riding, which can provide recommendations for government policy.