In the context of the deep integration of transportation and power systems, and the increasing frequency of extreme disasters, this paper proposes a resilience assessment method for distribution networks that considers the post-disaster emergency power restoration by Intelligent Connected Transportation System (ICTS). Firstly, the composition of ICTS is introduced, and its power output characteristics are analyzed. Then, based on the component vulnerability model, an extreme - scenario fault model is established to simulate faults caused by extreme disaster. Furthermore, with the aim of minimizing the system load reduction, an emergency power restoration model is developed, leveraging ICTS as an emergency power. Additionally, a resilience assessment index system is constructed from both system and node levels to quantify the vulnerability and reliability of distribution networks. Finally, the effectiveness of the proposed method is verified through a modified IEEE 33 node distribution system case study. The results indicate that the integration of ICTS significantly enhances the resilience indices, playing a vital role in emergency power restoration under extreme scenarios. This study offers a new framework for assessing distribution network resilience under extreme disasters and underscores the significance of ICTS in emergency power supply.