Millions of dollars saved when scheduled travel providers adapt to on-demand scheduling

(Institute for Operations Research and the Management Sciences) Uber and Lyft are popular on-demand ways to travel, but does that mean trains and buses are a thing of the past? Travelers prefer different modes of transportation at different times. So how can all these modes co-exist and do so successfully? New research in the INFORMS Journal Transportation Science has created a model and an algorithm to redistribute transit resources based on commuter preferences resulting in millions in savings.
Source: EurekAlert! - Social and Behavioral Science - Category: International Medicine & Public Health Source Type: news