  A well-designed resilient and sustainable urban transportation system can
recover quickly from the non-recurrent road congestion (NRC), which is often
caused by en-route events (e.g., road closure due to car collisions). Existing
solutions, such as on-board navigation systems and temporary rerouting road
signs, are not effective due to delayed responses. Connected Autonomous
Vehicles (CAV) can be helpful in improving recurrent traffic as they can
autonomously adjust their speed according to their real-time surrounding
traffic, sensed by vehicular communications. Preliminary simulation results in
this short paper show that CAV can also improve traffic when non-recurrent
congestion occurs. Other results in fuel consumption, CO2 emission, and
traditional traffic safety indicators are open for future discussions.
