Traffic flow balance is the ultimate goal of traffic guidance and control using a spatial-temporal fusion algorithm. To make a fusion algorithm for speed adjustment yield benefits such as energy savings and emissions reduction, speed adjustment should not change suddenly but should increase low speed, maintain high speed, and avoid congestion. A real-time speed network representing vehicle speed in each of several sections is established. Based on this network, traffic guidance and control fusion, single spatial-temporal flow speed adjustment, and multiple spatial-temporal flow speed adjustment are performed to meet energy-savings and emission-reduction goals. Compared with the results of other collaborative methods, the results of the proposed simulated fusion algorithm show that the energy savings and emissions can be decreased significantly.