Optimization of Autonomous Bus Management System: A Case Study in Hanoi

The proliferation of autonomous vehicles opens new frontiers in urban mobility. The optimization of the travel process of public transport such as buses becomes easier with autonomous buses, contributing to improving the user experience and improving the efficiency of the public transport system. An optimizing the management of autonomous buses method in an urban area is proposed, utilizing the Max-Min Fairness optimization algorithm. The study focuses on optimizing the average waiting time of users and speed of these autonomous buses in SUMO, a well-established platform for traffic simulations. The simulation results illustrate that applying the Max-Min Fairness algorithm can effectively decrease the Departure Delay and Duration time in the traffic system, contributing to more efficient and sustainable urban transportation. These findings show that our proposed optimization method is particularly beneficial for urban planners, transportation engineers, and policymakers who are involved in managing and optimizing autonomous public transit systems.