Enhancing Public Road Transport at Hong Kong International Airport Skycity through an Autonomous System Considering V2V Communications

With the increasing volume of passenger transport, the Hong Kong International Airport (HKIA) authority has undertaken a 10-year project to construct the Skycity, satisfying the needs of tourists and passengers. Developing a new intelligent public road transport system is imperative to support this initiative. This research presents a novel traveling time estimation model incorporating realistic transport volume data, focusing on the station-to-station travel time while considering vehicle-to-vehicle (V2V) communication for headway calibration. In this paper, the accuracy of the proposed model is validated using PTV Vissim 11.00-14, taking into account traveling time, headway, and the number of trips made by connected vehicles. The simulation results demonstrate that the autonomous transport system can efficiently transport thousands of passengers per hour, ensuring safety and optimizing headway through V2V communication. Moreover, the model has the potential to provide estimated arrival times for upcoming buses at bus stations, thus offering valuable information to passengers.