Abstract: With the improvement of the electric vehicle penetration, the spatio-temporal coupling between the electrified transportation network and the active distribution network is becoming stronger. With the technology of dynamic wireless charging,when the jam or congestion occurs in the transportation network or the distribution network, the interaction between the two networks may lead to cascading jam-congestion, which has an adverse impact on the security and economy of the system.Combining the dynamic traffic assignment model of the transportation network based on the differential variational inequality with the multi-period AC optimal power flow model of the the distribution network based on the mixed-integer second-order cone programming, the dynamic spatio-temporal coupling model of transportation-distribution networks is established to simulate the spatio-temporal distribution of electric vehicle charging load and congestion cost. Through the joint operation simulation of the transportation-distribution networks, the propagation mechanism of jam-congestion in the transportation-distribution networks is analyzed in depth. Then, the active-reactive power co-optimization scheme for the active distribution network is proposed, and the impact of the rational allocation of active/reactive power resources on the optimization effect is studied.