Bayesian Network Approach for Dynamic Bus Speed Guidance on Mixed Bus–Car Traveling Lanes

Minimizing bus waiting time and stops at intersections along arterials is essential for improving bus travel efficiency. Many methods have been proposed to achieve this goal by utilizing emerging connected technologies to provide bus speed guidance. However, most studies have only focused on traffic scenarios with exclusive bus lanes. In reality, especially in urban areas of China, exclusive bus lanes have not been designed for many arterials. The mixed bus–car traveling lanes could lead to traffic flow fluctuation and bus travel time uncertainty, but these challenges have not been sufficiently addressed in existing methods. This paper introduces a hybrid Bayesian network (HBN) method to consider the uncertainties and to determine dynamic bus guiding speeds for minimizing stops and waiting time…