A survey on demand-responsive public bus systems

When demand for transportation is low or highly variable, traditional public bus services tend to lose their efficiency and typically frustrate (potential) passengers. In the literature, a large number of demand-responsive systems, that promise improved flexibility, have therefore been developed. At present, however, a comprehensive survey of these systems is lacking. In this paper, we fill this gap by presenting a unifying framework that classifies all demand-responsive public bus systems. The classification is mainly based on three degrees of responsiveness: dynamic online, dynamic offline, and static. For each system we discuss the specific optimization problem modeled, whether realistic data is considered, and the size of the instances used for testing. Where possible, we try to draw conclusions on the current state of the literature and try to identify potential avenues for future research. Different tables are included to structure and summarize the information of all papers.

Automated summary

This paper fills the gap in the literature by presenting a comprehensive survey of demand-responsive public bus systems, classifying them based on three degrees of responsiveness: dynamic online, dynamic offline, and static. The paper discusses the optimization problems, data considerations, and testing instance sizes for each system, and identifies potential avenues for future research. Tables are used to structure and summarize the information of all papers.