PlaceholderThermal emissions, or anthropogenic heat fluxes (Q_F), significantly impact urban climates at both local and larger scales. Among these, traffic-related heat emissions (Q_{F,t}) are a crucial component. To simulate traffic heat emission and explore the correlation between traffic heat emission in urban area with urban design, we developed an innovative agent-based model that integrates urban structure and population dynamics. We adopted the origin-destination algorithm that accounts for real-world constraints such as temporal variations in traffic flow and population distribution. Furthermore, by applying the fundamental diagram in transportation to simulate the relationship between traffic density and speed, traffic-related heat emissions are dynamically simulated in response to changing traffic patterns. This approach allows us to explore how human activities, particularly urban traffic, influence heat emissions. The newly developed model is applied to simulate heat emissions in fifteen different cities. Results show that heat emissions depend on distinct urban forms quantified by different metrics. Our findings imply that a city’s form and function are intricately related, thus regulating the urban function via changing regulating traffic patterns might provide a potentially new perspective to modulate the urban thermal environment.